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Whitman ET, Ryan CP, Abraham WC, Addae A, Corcoran DL, Elliott ML, Hogan S, Ireland D, Keenan R, Knodt AR, Melzer TR, Poulton R, Ramrakha S, Sugden K, Williams BS, Zhou J, Hariri AR, Belsky DW, Moffitt TE, Caspi A. A blood biomarker of the pace of aging is associated with brain structure: replication across three cohorts. Neurobiol Aging 2024; 136:23-33. [PMID: 38301452 PMCID: PMC11017787 DOI: 10.1016/j.neurobiolaging.2024.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 01/16/2024] [Accepted: 01/19/2024] [Indexed: 02/03/2024]
Abstract
Biological aging is the correlated decline of multi-organ system integrity central to the etiology of many age-related diseases. A novel epigenetic measure of biological aging, DunedinPACE, is associated with cognitive dysfunction, incident dementia, and mortality. Here, we tested for associations between DunedinPACE and structural MRI phenotypes in three datasets spanning midlife to advanced age: the Dunedin Study (age=45 years), the Framingham Heart Study Offspring Cohort (mean age=63 years), and the Alzheimer's Disease Neuroimaging Initiative (mean age=75 years). We also tested four additional epigenetic measures of aging: the Horvath clock, the Hannum clock, PhenoAge, and GrimAge. Across all datasets (total N observations=3380; total N individuals=2322), faster DunedinPACE was associated with lower total brain volume, lower hippocampal volume, greater burden of white matter microlesions, and thinner cortex. Across all measures, DunedinPACE and GrimAge had the strongest and most consistent associations with brain phenotypes. Our findings suggest that single timepoint measures of multi-organ decline such as DunedinPACE could be useful for gauging nervous system health.
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Affiliation(s)
- Ethan T Whitman
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
| | - Calen P Ryan
- Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, USA
| | | | - Angela Addae
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - David L Corcoran
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Maxwell L Elliott
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Sean Hogan
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Ross Keenan
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand; Christchurch Radiology Group, Christchurch, New Zealand
| | - Annchen R Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Tracy R Melzer
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand; Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | | | - Jiayi Zhou
- Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, USA
| | - Ahmad R Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Daniel W Belsky
- Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, USA; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, USA
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA; Center for Genomic and Computational Biology, Duke University, Durham, NC, USA; King's College London, Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, London, UK; PROMENTA, Department of Psychology, University of Oslo, Norway; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA; Center for Genomic and Computational Biology, Duke University, Durham, NC, USA; King's College London, Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, London, UK; PROMENTA, Department of Psychology, University of Oslo, Norway; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
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2
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Newburn G, Condron P, Kwon EE, McGeown JP, Melzer TR, Bydder M, Griffin M, Scadeng M, Potter L, Holdsworth SJ, Cornfeld DM, Bydder GM. Diagnosis of Delayed Post-Hypoxic Leukoencephalopathy (Grinker's Myelinopathy) with MRI Using Divided Subtracted Inversion Recovery (dSIR) Sequences: Time for Reappraisal of the Syndrome? Diagnostics (Basel) 2024; 14:418. [PMID: 38396456 PMCID: PMC10888335 DOI: 10.3390/diagnostics14040418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 01/25/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024] Open
Abstract
Background: Delayed Post-Hypoxic Leukoencephalopathy (DPHL), or Grinker's myelinopathy, is a syndrome in which extensive changes are seen in the white matter of the cerebral hemispheres with MRI weeks or months after a hypoxic episode. T2-weighted spin echo (T2-wSE) and/or T2-Fluid Attenuated Inversion Recovery (T2-FLAIR) images classically show diffuse hyperintensities in white matter which are thought to be near pathognomonic of the condition. The clinical features include Parkinsonism and akinetic mutism. DPHL is generally regarded as a rare condition. Methods and Results: Two cases of DPHL imaged with MRI nine months and two years after probable hypoxic episodes are described. No abnormalities were seen on the T2-FLAIR images with MRI, but very extensive changes were seen in the white matter of the cerebral and cerebellar hemisphere on divided Subtraction Inversion Recovery (dSIR) images. dSIR sequences may produce ten times the contrast of conventional inversion recovery (IR) sequences from small changes in T1. The clinical findings in both cases were of cognitive impairment without Parkinsonism or akinetic mutism. Conclusion: The classic features of DPHL may only represent the severe end of a spectrum of diseases in white matter following global hypoxic injury to the brain. The condition may be much more common than is generally thought but may not be recognized using conventional clinical and MRI criteria for diagnosis. Reappraisal of the syndrome of DPHL to include clinically less severe cases and to encompass recent advances in MRI is advocated.
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Affiliation(s)
- Gil Newburn
- Mātai Medical Research Institute, Tairāwhiti Gisborne 4010, New Zealand; (G.N.); (M.S.); (S.J.H.)
| | - Paul Condron
- Mātai Medical Research Institute, Tairāwhiti Gisborne 4010, New Zealand; (G.N.); (M.S.); (S.J.H.)
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland 1010, New Zealand
| | - Eryn E. Kwon
- Mātai Medical Research Institute, Tairāwhiti Gisborne 4010, New Zealand; (G.N.); (M.S.); (S.J.H.)
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland 1010, New Zealand
| | - Joshua P. McGeown
- Mātai Medical Research Institute, Tairāwhiti Gisborne 4010, New Zealand; (G.N.); (M.S.); (S.J.H.)
| | - Tracy R. Melzer
- Department of Medicine, University of Otago, Christchurch 8011, New Zealand
- New Zealand Brain Research Institute, Christchurch 8011, New Zealand
| | - Mark Bydder
- Mātai Medical Research Institute, Tairāwhiti Gisborne 4010, New Zealand; (G.N.); (M.S.); (S.J.H.)
| | - Mark Griffin
- Mātai Medical Research Institute, Tairāwhiti Gisborne 4010, New Zealand; (G.N.); (M.S.); (S.J.H.)
- Insight Research Services Associated, Gold Coast 4215, Australia
| | - Miriam Scadeng
- Mātai Medical Research Institute, Tairāwhiti Gisborne 4010, New Zealand; (G.N.); (M.S.); (S.J.H.)
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland 1010, New Zealand
| | - Leigh Potter
- Mātai Medical Research Institute, Tairāwhiti Gisborne 4010, New Zealand; (G.N.); (M.S.); (S.J.H.)
| | - Samantha J. Holdsworth
- Mātai Medical Research Institute, Tairāwhiti Gisborne 4010, New Zealand; (G.N.); (M.S.); (S.J.H.)
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland 1010, New Zealand
| | - Daniel M. Cornfeld
- Mātai Medical Research Institute, Tairāwhiti Gisborne 4010, New Zealand; (G.N.); (M.S.); (S.J.H.)
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland 1010, New Zealand
| | - Graeme M. Bydder
- Mātai Medical Research Institute, Tairāwhiti Gisborne 4010, New Zealand; (G.N.); (M.S.); (S.J.H.)
- Department of Radiology, University of California San Diego, San Diego, CA 92093, USA
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3
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Kerestes R, Laansma MA, Owens-Walton C, Perry A, van Heese EM, Al-Bachari S, Anderson TJ, Assogna F, Aventurato ÍK, van Balkom TD, Berendse HW, van den Berg KR, Mphys RB, Brioschi R, Carr J, Cendes F, Clark LR, Dalrymple-Alford JC, Dirkx MF, Druzgal J, Durrant H, Emsley HC, Garraux G, Haroon HA, Helmich RC, van den Heuvel OA, João RB, Johansson ME, Khachatryan S, Lochner C, McMillan CT, Melzer TR, Mosley P, Newman B, Opriessnig P, Parkes LM, Pellicano C, Piras F, Pitcher TL, Poston KL, Rango M, Roos A, Rummel C, Schmidt R, Schwingenschuh P, Silva LS, Smith V, Squarcina L, Stein DJ, Tavadyan Z, Tsai CC, Vecchio D, Vriend C, Wang JJ, Wiest R, Yasuda CL, Young CB, Jahanshad N, Thompson PM, van der Werf YD, Harding IH. Cerebellar Volume and Disease Staging in Parkinson's Disease: An ENIGMA-PD Study. Mov Disord 2023; 38:2269-2281. [PMID: 37964373 PMCID: PMC10754393 DOI: 10.1002/mds.29611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 08/14/2023] [Accepted: 09/11/2023] [Indexed: 11/16/2023] Open
Abstract
BACKGROUND Increasing evidence points to a pathophysiological role for the cerebellum in Parkinson's disease (PD). However, regional cerebellar changes associated with motor and non-motor functioning remain to be elucidated. OBJECTIVE To quantify cross-sectional regional cerebellar lobule volumes using three dimensional T1-weighted anatomical brain magnetic resonance imaging from the global ENIGMA-PD working group. METHODS Cerebellar parcellation was performed using a deep learning-based approach from 2487 people with PD and 1212 age and sex-matched controls across 22 sites. Linear mixed effects models compared total and regional cerebellar volume in people with PD at each Hoehn and Yahr (HY) disease stage, to an age- and sex- matched control group. Associations with motor symptom severity and Montreal Cognitive Assessment scores were investigated. RESULTS Overall, people with PD had a regionally smaller posterior lobe (dmax = -0.15). HY stage-specific analyses revealed a larger anterior lobule V bilaterally (dmax = 0.28) in people with PD in HY stage 1 compared to controls. In contrast, smaller bilateral lobule VII volume in the posterior lobe was observed in HY stages 3, 4, and 5 (dmax = -0.76), which was incrementally lower with higher disease stage. Within PD, cognitively impaired individuals had lower total cerebellar volume compared to cognitively normal individuals (d = -0.17). CONCLUSIONS We provide evidence of a dissociation between anterior "motor" lobe and posterior "non-motor" lobe cerebellar regions in PD. Whereas less severe stages of the disease are associated with larger motor lobe regions, more severe stages of the disease are marked by smaller non-motor regions. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Rebecca Kerestes
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Max A. Laansma
- Amsterdam UMC, Dept. Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Conor Owens-Walton
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Andrew Perry
- Monash Bioinformatics Platform, Monash University, Melbourne, VIC, Australia
| | - Eva M. van Heese
- Amsterdam UMC, Dept. Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Sarah Al-Bachari
- Faculty of Health and Medicine, The University of Lancaster, Lancaster, UK
| | - Tim J. Anderson
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Neurology Department, Te Wahtu Ora - Health New Zealand Waitaha Canterbury, Christchurch, New Zew Zealand
| | - Francesca Assogna
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Ítalo K. Aventurato
- Department of Neurology, University of Campinas - UNICAMP, Campinas, Brazil
- Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Tim D. van Balkom
- Amsterdam UMC, Dept. Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Amsterdam UMC, Dept. Psychiatry, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Henk W. Berendse
- Amsterdam UMC, Dept. Neurology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Kevin R.E. van den Berg
- Department of Neurology and Center of Expertise for Parkinson & Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Rebecca Betts Mphys
- School of Physics and Astronomy, Faculty of Science and Engineering, The University of Manchester, Manchester, UK
| | - Ricardo Brioschi
- Department of Neurology, University of Campinas - UNICAMP, Campinas, Brazil
| | - Jonathan Carr
- Division of Neurology, Tygerberg Hospital and Stellenbosch University, Cape Town, South Africa
| | - Fernando Cendes
- Department of Neurology, University of Campinas - UNICAMP, Campinas, Brazil
- Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Lyles R. Clark
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - John C. Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Michiel F. Dirkx
- Department of Neurology and Center of Expertise for Parkinson & Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Jason Druzgal
- Department of Radiology and Medical Imaging, University of Virginia, USA
| | - Helena Durrant
- School of Physics and Astronomy, Faculty of Science and Engineering, The University of Manchester, Manchester, UK
| | - Hedley C.A. Emsley
- Lancaster Medical School, Lancaster University, Lancaster, UK
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Gaëtan Garraux
- GIGA-CRC in vivo imaging, University of Liège, Belgium
- Department of Neurology, CHU Liège, Liège, Belgium
| | - Hamied A. Haroon
- Division of Psychology, Communication & Human Neuroscience, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Rick C. Helmich
- Department of Neurology and Center of Expertise for Parkinson & Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Odile A. van den Heuvel
- Amsterdam UMC, Dept. Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Amsterdam UMC, Dept. Psychiatry, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Rafael B. João
- Department of Neurology, University of Campinas - UNICAMP, Campinas, Brazil
- Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Martin E. Johansson
- Department of Neurology and Center of Expertise for Parkinson & Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Samson Khachatryan
- Department of Neurology and Neurosurgery, National Institute of Health, Yerevan, Armenia
- Centers for Sleep and Movement Disorders, Somnus Neurology Clinic, Yerevan, Armenia
| | - Christine Lochner
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - Corey T. McMillan
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Tracy R. Melzer
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Philip Mosley
- Clinical Brain Networks Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- The Australian eHealth Research Centre, CSIRO Health and Biosecurity, Brisbane, Queensland, Australia
| | - Benjamin Newman
- Department of Radiology and Medical Imaging, University of Virginia, USA
| | - Peter Opriessnig
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University Graz, Graz, Austria
| | - Laura M. Parkes
- Division of Psychology, Communication and Human Neuroscience, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
| | - Clelia Pellicano
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Toni L. Pitcher
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Kathleen L. Poston
- Department of Neurology & Neurological Sciences, Stanford University, Palo Alto, CA, USA
| | - Mario Rango
- Excellence Center for Advanced MR Techniques and Parkinson’s Disease Center, Neurology unit, Fondazione IRCCS Cà Granda Maggiore Policlinico Hospital, University of Milan, Milan, Italy
- Dept of Neurosciences, Neurology Unit, Fondazione Ca’ Granda, IRCCS, Ospedale Policlinico, Univeristy of Milan, Milano, Italy
| | - Annerine Roos
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Christian Rummel
- Support Center for Advanced Neuroimaging, (SCAN) University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Lucas S. Silva
- Department of Neurology, University of Campinas - UNICAMP, Campinas, Brazil
- Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Viktorija Smith
- Department of Neurology & Neurological Sciences, Stanford University, Palo Alto, CA, USA
| | - Letizia Squarcina
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Dan J. Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Zaruhi Tavadyan
- Department of Neurology and Neurosurgery, National Institute of Health, Yerevan, Armenia
- Centers for Sleep and Movement Disorders, Somnus Neurology Clinic, Yerevan, Armenia
| | - Chih-Chien Tsai
- Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Daniela Vecchio
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Chris Vriend
- Amsterdam UMC, Dept. Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam UMC, Dept. Psychiatry, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain imaging, Amsterdam, the Netherlands
| | - Jiun-Jie Wang
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan City, Taiwan
- Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Keelung Branch Keelung City, Taiwan
- Healthy Ageing Research Center, ChangGung University, Taiwan
- Department of Chemical Engineering, Ming-Chi University of Technology, New Taipei City, Taiwan
| | - Roland Wiest
- Support Center for Advanced Neuroimaging, (SCAN) University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Clarissa L. Yasuda
- Department of Neurology, University of Campinas - UNICAMP, Campinas, Brazil
- Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Christina B. Young
- Department of Neurology & Neurological Sciences, Stanford University, Palo Alto, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Ysbrand D. van der Werf
- Amsterdam UMC, Dept. Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Ian H. Harding
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia
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Whitman ET, Ryan CP, Abraham WC, Addae A, Corcoran DL, Elliott ML, Hogan S, Ireland D, Keenan R, Knodt AR, Melzer TR, Poulton R, Ramrakha S, Sugden K, Williams BS, Zhou J, Hariri AR, Belsky DW, Moffitt TE, Caspi A. A blood biomarker of accelerated aging in the body associates with worse structural integrity in the brain: replication across three cohorts. medRxiv 2023:2023.09.06.23295140. [PMID: 37732266 PMCID: PMC10508789 DOI: 10.1101/2023.09.06.23295140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
Biological aging is the correlated decline of multi-organ system integrity central to the etiology of many age-related diseases. A novel epigenetic measure of biological aging, DunedinPACE, is associated with cognitive dysfunction, incident dementia, and mortality. Here, we tested for associations between DunedinPACE and structural MRI phenotypes in three datasets spanning midlife to advanced age: the Dunedin Study (age=45 years), the Framingham Heart Study Offspring Cohort (mean age=63 years), and the Alzheimer's Disease Neuroimaging Initiative (mean age=75 years). We also tested four additional epigenetic measures of aging: the Horvath clock, the Hannum clock, PhenoAge, and GrimAge. Across all datasets (total N observations=3,380; total N individuals=2,322), faster DunedinPACE was associated with lower total brain volume, lower hippocampal volume, and thinner cortex. In two datasets, faster DunedinPACE was associated with greater burden of white matter hyperintensities. Across all measures, DunedinPACE and GrimAge had the strongest and most consistent associations with brain phenotypes. Our findings suggest that single timepoint measures of multi-organ decline such as DunedinPACE could be useful for gauging nervous system health.
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Affiliation(s)
- Ethan T Whitman
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Calen P Ryan
- Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, USA
| | | | - Angela Addae
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - David L Corcoran
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Maxwell L Elliott
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Sean Hogan
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Ross Keenan
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- Christchurch Radiology Group, Christchurch, New Zealand
| | - Annchen R Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Tracy R Melzer
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | | | - Jiayi Zhou
- Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, USA
| | - Ahmad R Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Daniel W Belsky
- Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, USA
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- King's College London, Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, London, UK
- PROMENTA, Department of Psychology, University of Oslo, Norway
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- King's College London, Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, London, UK
- PROMENTA, Department of Psychology, University of Oslo, Norway
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
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5
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Whitman ET, Knodt AR, Elliott ML, Abraham WC, Cheyne K, Hogan S, Ireland D, Keenan R, Leung JH, Melzer TR, Poulton R, Purdy SC, Ramrakha S, Thorne PR, Caspi A, Moffitt TE, Hariri AR. Functional topography of the neocortex predicts covariation in complex cognitive and basic motor abilities. Cereb Cortex 2023; 33:8218-8231. [PMID: 37015900 PMCID: PMC10321095 DOI: 10.1093/cercor/bhad109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 04/06/2023] Open
Abstract
Although higher-order cognitive and lower-order sensorimotor abilities are generally regarded as distinct and studied separately, there is evidence that they not only covary but also that this covariation increases across the lifespan. This pattern has been leveraged in clinical settings where a simple assessment of sensory or motor ability (e.g. hearing, gait speed) can forecast age-related cognitive decline and risk for dementia. However, the brain mechanisms underlying cognitive, sensory, and motor covariation are largely unknown. Here, we examined whether such covariation in midlife reflects variability in common versus distinct neocortical networks using individualized maps of functional topography derived from BOLD fMRI data collected in 769 45-year-old members of a population-representative cohort. Analyses revealed that variability in basic motor but not hearing ability reflected individual differences in the functional topography of neocortical networks typically supporting cognitive ability. These patterns suggest that covariation in motor and cognitive abilities in midlife reflects convergence of function in higher-order neocortical networks and that gait speed may not be simply a measure of physical function but rather an integrative index of nervous system health.
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Affiliation(s)
- Ethan T Whitman
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27710, USA
| | - Annchen R Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27710, USA
| | - Maxwell L Elliott
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | | | - Kirsten Cheyne
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - Sean Hogan
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - Ross Keenan
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, Auckland 1010, New Zealand
- Christchurch Radiology Group, Christchurch 8014, New Zealand
| | - Joan H Leung
- School of Psychology, University of Auckland, Auckland 1142, New Zealand
- Eisdell Moore Centre, University of Auckland, Auckland 1142, New Zealand
| | - Tracy R Melzer
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, Auckland 1010, New Zealand
- Department of Medicine, University of Otago, Christchurch 9016, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - Suzanne C Purdy
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, Auckland 1010, New Zealand
- School of Psychology, University of Auckland, Auckland 1142, New Zealand
- Eisdell Moore Centre, University of Auckland, Auckland 1142, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - Peter R Thorne
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, Auckland 1010, New Zealand
- Eisdell Moore Centre, University of Auckland, Auckland 1142, New Zealand
- School of Population Health, University of Auckland, Auckland 1142, New Zealand
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27710, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC 27710, USA
- King’s College London, Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, London SE5 8AF, UK
- PROMENTA, Department of Psychology, University of Oslo, NO-0316 Oslo, Norway
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC 27710, USA
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27710, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC 27710, USA
- King’s College London, Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, London SE5 8AF, UK
- PROMENTA, Department of Psychology, University of Oslo, NO-0316 Oslo, Norway
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC 27710, USA
| | - Ahmad R Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27710, USA
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6
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Gooch EA, Horne K, Melzer TR, McAuliffe MJ, MacAskill M, Dalrymple‐Alford JC, Anderson TJ, Theys C. Acquired Stuttering in Parkinson's Disease. Mov Disord Clin Pract 2023; 10:956-966. [PMID: 37332649 PMCID: PMC10272914 DOI: 10.1002/mdc3.13758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 04/04/2023] [Accepted: 04/13/2023] [Indexed: 06/20/2023] Open
Abstract
Background Parkinson's disease frequently causes communication impairments, but knowledge about the occurrence of new-onset stuttering is limited. Objectives To determine the presence of acquired neurogenic stuttering and its relationship with cognitive and motor functioning in individuals with Parkinson's disease. Method Conversation, picture description, and reading samples were collected from 100 people with Parkinson's disease and 25 controls to identify the presence of stuttered disfluencies (SD) and their association with neuropsychological test performance and motor function. Results Participants with Parkinson's disease presented with twice as many stuttered disfluencies during conversation (2.2% ± 1.8%SD) compared to control participants (1.2% ± 1.2%SD; P < 0.01). 21% of people with Parkinson's disease (n = 20/94) met the diagnostic criterion for stuttering, compared with 1/25 controls. Stuttered disfluencies also differed significantly across speech tasks, with more disfluencies during conversation compared to reading (P < 0.01). Stuttered disfluencies in those with Parkinson's disease were associated with longer time since disease onset (P < 0.01), higher levodopa equivalent dosage (P < 0.01), and lower cognitive (P < 0.01) and motor scores (P < 0.01). Conclusion One in five participants with Parkinson's disease presented with acquired neurogenic stuttering, suggesting that speech disfluency assessment, monitoring and intervention should be part of standard care. Conversation was the most informative task for identifying stuttered disfluencies. The frequency of stuttered disfluencies was higher in participants with worse motor functioning, and lower cognitive functioning. This challenges previous suggestions that the development of stuttered disfluencies in Parkinson's disease has purely a motoric basis.
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Affiliation(s)
- Eloïse A. Gooch
- Te Kura Mahi ā‐Hirikapo, School of Psychology, Speech, and HearingUniversity of CanterburyChristchurchNew Zealand
- New Zealand Brain Research InstituteChristchurchNew Zealand
| | | | - Tracy R. Melzer
- Te Kura Mahi ā‐Hirikapo, School of Psychology, Speech, and HearingUniversity of CanterburyChristchurchNew Zealand
- New Zealand Brain Research InstituteChristchurchNew Zealand
- Department of MedicineUniversity of OtagoChristchurchNew Zealand
| | - Megan J. McAuliffe
- Te Kura Mahi ā‐Hirikapo, School of Psychology, Speech, and HearingUniversity of CanterburyChristchurchNew Zealand
- Te Kāhu Roro Reo, New Zealand Institute of Language, Brain and BehaviourUniversity of CanterburyChristchurchNew Zealand
| | - Michael MacAskill
- New Zealand Brain Research InstituteChristchurchNew Zealand
- Department of MedicineUniversity of OtagoChristchurchNew Zealand
| | - John C. Dalrymple‐Alford
- Te Kura Mahi ā‐Hirikapo, School of Psychology, Speech, and HearingUniversity of CanterburyChristchurchNew Zealand
- New Zealand Brain Research InstituteChristchurchNew Zealand
- Department of MedicineUniversity of OtagoChristchurchNew Zealand
| | - Tim J. Anderson
- New Zealand Brain Research InstituteChristchurchNew Zealand
- Department of MedicineUniversity of OtagoChristchurchNew Zealand
- Neurology DepartmentChristchurch Hospital, Te Whatu Ora Health New ZealandChristchurchNew Zealand
| | - Catherine Theys
- Te Kura Mahi ā‐Hirikapo, School of Psychology, Speech, and HearingUniversity of CanterburyChristchurchNew Zealand
- New Zealand Brain Research InstituteChristchurchNew Zealand
- Te Kāhu Roro Reo, New Zealand Institute of Language, Brain and BehaviourUniversity of CanterburyChristchurchNew Zealand
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7
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Kennedy E, Vadlamani S, Lindsey HM, Lei PW, Jo-Pugh M, Adamson M, Alda M, Alonso-Lana S, Ambrogi S, Anderson TJ, Arango C, Asarnow RF, Avram M, Ayesa-Arriola R, Babikian T, Banaj N, Bird LJ, Borgwardt S, Brodtmann A, Brosch K, Caeyenberghs K, Calhoun VD, Chiaravalloti ND, Cifu DX, Crespo-Facorro B, Dalrymple-Alford JC, Dams-O’Connor K, Dannlowski U, Darby D, Davenport N, DeLuca J, Diaz-Caneja CM, Disner SG, Dobryakova E, Ehrlich S, Esopenko C, Ferrarelli F, Frank LE, Franz C, Fuentes-Claramonte P, Genova H, Giza CC, Goltermann J, Grotegerd D, Gruber M, Gutierrez-Zotes A, Ha M, Haavik J, Hinkin C, Hoskinson KR, Hubl D, Irimia A, Jansen A, Kaess M, Kang X, Kenney K, Keřková B, Khlif MS, Kim M, Kindler J, Kircher T, Knížková K, Kolskår KK, Krch D, Kremen WS, Kuhn T, Kumari V, Kwon JS, Langella R, Laskowitz S, Lee J, Lengenfelder J, Liebel SW, Liou-Johnson V, Lippa SM, Løvstad M, Lundervold A, Marotta C, Marquardt CA, Mattos P, Mayeli A, McDonald CR, Meinert S, Melzer TR, Merchán-Naranjo J, Michel C, Morey RA, Mwangi B, Myall DJ, Nenadić I, Newsome MR, Nunes A, O’Brien T, Oertel V, Ollinger J, Olsen A, de la Foz VOG, Ozmen M, Pardoe H, Parent M, Piras F, Piras F, Pomarol-Clotet E, Repple J, Richard G, Rodriguez J, Rodriguez M, Rootes-Murdy K, Rowland J, Ryan NP, Salvador R, Sanders AM, Schmidt A, Soares JC, Spalleta G, Španiel F, Stasenko A, Stein F, Straube B, Thames A, Thomas-Odenthal F, Thomopoulos SI, Tone E, Torres I, Troyanskaya M, Turner JA, Ulrichsen KM, Umpierrez G, Vilella E, Vivash L, Walker WC, Werden E, Westlye LT, Wild K, Wroblewski A, Wu MJ, Wylie GR, Yatham LN, Zunta-Soares GB, Thompson PM, Tate DF, Hillary FG, Dennis EL, Wilde EA. Bridging Big Data: Procedures for Combining Non-equivalent Cognitive Measures from the ENIGMA Consortium. bioRxiv 2023:2023.01.16.524331. [PMID: 36712107 PMCID: PMC9882238 DOI: 10.1101/2023.01.16.524331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Investigators in neuroscience have turned to Big Data to address replication and reliability issues by increasing sample sizes, statistical power, and representativeness of data. These efforts unveil new questions about integrating data arising from distinct sources and instruments. We focus on the most frequently assessed cognitive domain - memory testing - and demonstrate a process for reliable data harmonization across three common measures. We aggregated global raw data from 53 studies totaling N = 10,505 individuals. A mega-analysis was conducted using empirical bayes harmonization to remove site effects, followed by linear models adjusting for common covariates. A continuous item response theory (IRT) model estimated each individual's latent verbal learning ability while accounting for item difficulties. Harmonization significantly reduced inter-site variance while preserving covariate effects, and our conversion tool is freely available online. This demonstrates that large-scale data sharing and harmonization initiatives can address reproducibility and integration challenges across the behavioral sciences.
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Affiliation(s)
- Eamonn Kennedy
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, 84132
- Division of Epidemiology, University of Utah, Salt Lake City, UT, 84132
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, 84132
| | - Shashank Vadlamani
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, 84132
| | - Hannah M Lindsey
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, 84132
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, 84132
| | - Pui-Wa Lei
- Department of Educational Psychology, Counseling, and Special Education, Pennsylvania State University, University Park, PA, 16801
| | - Mary Jo-Pugh
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, 84132
- Division of Epidemiology, University of Utah, Salt Lake City, UT, 84132
| | - Maheen Adamson
- WRIISC-WOMEN & Rehabilitation Department, VA Palo Alto, Palo Alto, CA, USA
- Neurosurgery, Stanford School of Medicine, Stanford, CA, USA
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, Canada
| | - Silvia Alonso-Lana
- FIDMAG Research Foundation, Barcelona, Spain
- Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
| | - Sonia Ambrogi
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Tim J Anderson
- Department of Medicine, University of Otago, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Neurology, Te Whatu Ora – Health New Zealand Waitaha Canterbury, Christchurch, New Zealand
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Robert F Asarnow
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
- Brain Research Institute, UCLA, Los Angeles, CA, USA
- Department of Psychology, UCLA, Los Angeles, CA, USA
| | - Mihai Avram
- Translational Psychiatry, Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Rosa Ayesa-Arriola
- Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain
| | - Talin Babikian
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
- UCLA Steve Tisch BrainSPORT Program, Los Angeles, CA, USA
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Laura J Bird
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Melbourne, VIC, Australia
| | - Stefan Borgwardt
- Translational Psychiatry, Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
- Center of Brain, Behaviour and Metabolism (CBBM), University of Lübeck, Lübeck, Germany
| | - Amy Brodtmann
- Cognitive Health Initiative, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Department of Medicine, Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Karen Caeyenberghs
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University University, Atlanta, GA, USA
| | - Nancy D Chiaravalloti
- Centers for Neuropsychology, Neuroscience & Traumatic Brain Injury Research, Kessler Foundation, East Hanover, NJ, USA
- Department of Physical Medicine & Rehabilitation, Rutgers, New Jersey Medical School, Newark, NJ, USA
| | - David X Cifu
- Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD
| | - Benedicto Crespo-Facorro
- Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Virgen del Rocio University Hospital, School of Medicine, University of Seville, IBIS, Seville, Spain
| | - John C Dalrymple-Alford
- Department of Medicine, University of Otago, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Kristen Dams-O’Connor
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Germany
| | - David Darby
- Department of Neuroscience, Monash University, Melbourne, Australia
- Department of Neurology, Alfred Health, Melbourne, Australia
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia
| | - Nicholas Davenport
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN
- Minneapolis VA Health Care System, Minneapolis, MN
| | - John DeLuca
- Department of Physical Medicine & Rehabilitation, Rutgers, New Jersey Medical School, Newark, NJ, USA
- Kessler Foundation, East Hanover, NJ, USA
| | - Covadonga M Diaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Seth G Disner
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN
- Minneapolis VA Health Care System, Minneapolis, MN
| | - Ekaterina Dobryakova
- Department of Physical Medicine & Rehabilitation, Rutgers, New Jersey Medical School, Newark, NJ, USA
- Center for Traumatic Brain Injury, Kessler Foundation, East Hanover, NJ
| | - Stefan Ehrlich
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Germany
- Eating Disorders Research and Treatment Center, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany
| | - Carrie Esopenko
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Fabio Ferrarelli
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lea E Frank
- Department of Psychology, University of Oregon, Eugene, OR, USA
| | - Carol Franz
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Paola Fuentes-Claramonte
- FIDMAG Research Foundation, Barcelona, Spain
- Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
| | - Helen Genova
- Department of Physical Medicine & Rehabilitation, Rutgers, New Jersey Medical School, Newark, NJ, USA
- Center for Autism Research, Kessler Foundation, East Hanover, NJ, USA
| | - Christopher C Giza
- UCLA Steve Tisch BrainSPORT Program, Los Angeles, CA, USA
- Department of Pediatrics, Division of Neurology, UCLA Mattel Children’s Hospital, Los Angeles, CA, USA
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Janik Goltermann
- Institute for Translational Psychiatry, University of Münster, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Germany
| | - Marius Gruber
- Institute for Translational Psychiatry, University of Münster, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Alfonso Gutierrez-Zotes
- Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
- Hospital Universitari Institut Pere Mata, Tarragona, Spain
- Institut d’Investiació Sanitària Pere Virgili-CERCA, Universitat Rovira i Virgili, Tarragona, Spain
| | - Minji Ha
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - Jan Haavik
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Charles Hinkin
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | - Kristen R Hoskinson
- Center for Biobehavioral Health, The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH
- Section of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, USA
| | - Daniela Hubl
- Translational Research Centre, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Andrei Irimia
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
- Department of Quantitative & Computational Biology, Dornsife College of Arts & Sciences, University of Southern California, Los Angeles CA, USA
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Michael Kaess
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Clinic of Child and Adolescent Psychiatry, Centre of Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
| | - Xiaojian Kang
- WRIISC-WOMEN & Rehabilitation Department, VA Palo Alto, Palo Alto, CA, USA
| | - Kimbra Kenney
- Department of Neurology, Uniformed Services University, Bethesda, MD
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD
| | | | - Mohamed Salah Khlif
- Cognitive Health Initiative, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Jochen Kindler
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Karolina Knížková
- National Institute of Mental Health, Klecany, Czech Republic
- Department of Psychiatry, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Knut K Kolskår
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital, Nesodden, Norway
| | - Denise Krch
- Department of Physical Medicine & Rehabilitation, Rutgers, New Jersey Medical School, Newark, NJ, USA
- Center for Traumatic Brain Injury, Kessler Foundation, East Hanover, NJ
| | - William S Kremen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Taylor Kuhn
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | - Veena Kumari
- Department of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge, United Kingdom
| | - Jun Soo Kwon
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Roberto Langella
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Sarah Laskowitz
- Brain Imaging and Analysis Center, Duke University, Durham, NC
| | - Jungha Lee
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - Jean Lengenfelder
- Department of Physical Medicine & Rehabilitation, Rutgers, New Jersey Medical School, Newark, NJ, USA
- Center for Traumatic Brain Injury, Kessler Foundation, East Hanover, NJ
| | - Spencer W Liebel
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, 84132
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, 84132
| | | | - Sara M Lippa
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD
- Department of Neuroscience, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Marianne Løvstad
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital, Nesodden, Norway
| | - Astri Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Cassandra Marotta
- Department of Neuroscience, Monash University, Melbourne, Australia
- Department of Neurology, Alfred Health, Melbourne, Australia
| | - Craig A Marquardt
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN
- Minneapolis VA Health Care System, Minneapolis, MN
| | - Paulo Mattos
- Institute D’Or for Research and Education (IDOR), São Paulo, Brazil
| | - Ahmad Mayeli
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Carrie R McDonald
- Department of Radiation Medicine and Applied Sciences and Psychiatry, UC San Diego, La Jolla, CA, USA
- Center for Multimodal Imaging and Genetics, UC San Diego, San Diego, CA, USA
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Tracy R Melzer
- Department of Medicine, University of Otago, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Jessica Merchán-Naranjo
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Chantal Michel
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Rajendra A Morey
- Brain Imaging and Analysis Center, Duke University, Durham, NC
- VISN 6 MIRECC, Durham VA, Durham, NC
| | - Benson Mwangi
- Center of Excellence on Mood Disorders, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Daniel J Myall
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Mary R Newsome
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX
| | - Abraham Nunes
- Department of Psychiatry, Dalhousie University, Halifax, Canada
- Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada
| | - Terence O’Brien
- Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia
- Department of Neuroscience, The Central Clinical School, Alfred Health, Monash University, Melbourne, VIC, Australia
| | - Viola Oertel
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapiey, Frankfurt University, Frankfurt, Germany
| | - John Ollinger
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD
| | - Alexander Olsen
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- NorHEAD - Norwegian Centre for Headache Research, Trondheim, Norway
| | - Victor Ortiz García de la Foz
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain
| | - Mustafa Ozmen
- Department of Electrical and Electronics Engineering, Antalya Bilim University, Antalya, Turkey
| | - Heath Pardoe
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia
| | - Marise Parent
- Neuroscience Institute & Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Federica Piras
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | | | - Jonathan Repple
- Institute for Translational Psychiatry, University of Münster, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Geneviève Richard
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Jonathan Rodriguez
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Mabel Rodriguez
- National Institute of Mental Health, Klecany, Czech Republic
| | - Kelly Rootes-Murdy
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University University, Atlanta, GA, USA
| | - Jared Rowland
- W.G. (Bill) Hefner VA Medical Center, Salisbury, NC
- Department of Neurobiology & Anatomy, Wake Forest School of Medicine, Winston-Salem, NC
- VA Mid-Atlantic Mental Illness Research Education and Clinical Center (MA-MIRECC), Durham, NC
| | - Nicholas P Ryan
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia
| | - Raymond Salvador
- Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
| | - Anne-Marthe Sanders
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital, Nesodden, Norway
| | - Andre Schmidt
- University of Basel, Department of Psychiatry (UPK), Basel, Switzerland
| | - Jair C Soares
- Center of Excellence on Mood Disorders, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | - Filip Španiel
- National Institute of Mental Health, Klecany, Czech Republic
- 3rd Faculty of Medicine Charles University, Prague, Czech Republic
| | - Alena Stasenko
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Center for Multimodal Imaging and Genetics, UC San Diego, San Diego, CA, USA
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Benjamin Straube
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - April Thames
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | | | - Sophia I Thomopoulos
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90007
| | - Erin Tone
- Department of Psychology, Georgia State University, Atlanta, GA
| | - Ivan Torres
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, BC, Canada
| | - Maya Troyanskaya
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX
| | - Jessica A Turner
- Psychiatry and Behavioral Health, Ohio State Wexner Medical Center, Columbus, OH, USA
| | - Kristine M Ulrichsen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital, Nesodden, Norway
| | - Guillermo Umpierrez
- Division of Endocrinology, Emory University School of Medicine, Atlanta, GA, USA
| | - Elisabet Vilella
- Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
- Hospital Universitari Institut Pere Mata, Tarragona, Spain
- Institut d’Investiació Sanitària Pere Virgili-CERCA, Universitat Rovira i Virgili, Tarragona, Spain
| | - Lucy Vivash
- Department of Neuroscience, Monash University, Melbourne, Australia
- Department of Neurology, Alfred Health, Melbourne, Australia
| | - William C Walker
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA
- Richmond Veterans Affairs (VA) Medical Center, Central Virginia VA Health Care System , Richmond, VA
| | - Emilio Werden
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- KG Jebsen Center for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Krista Wild
- Department of Psychology, Phoenix VA Health Care System, Phoenix, AZ, USA
| | - Adrian Wroblewski
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Mon-Ju Wu
- Center of Excellence on Mood Disorders, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Glenn R Wylie
- Department of Physical Medicine & Rehabilitation, Rutgers, New Jersey Medical School, Newark, NJ, USA
- Rocco Ortenzio Neuroimaging Center, Kessler Foundation, East Hanover, NJ, USA
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Giovana B Zunta-Soares
- Center of Excellence on Mood Disorders, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90007
- Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology, USC, Los Angeles, CA, 90007
| | - David F Tate
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, 84132
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, 84132
| | - Frank G Hillary
- Department of Psychology, Penn State University, State College, PA, 16801
- Department of Neurology, Hershey Medical Center, State College, PA, 16801
- Social Life and Engineering Science Imaging Center, Penn State University, State College, PA, 16801
| | - Emily L Dennis
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, 84132
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, 84132
| | - Elisabeth A Wilde
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, 84132
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, 84132
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Morris LA, Harrison SJ, Melzer TR, Dalrymple-Alford JC, Anderson TJ, MacAskill MR, Le Heron CJ. Altered nucleus accumbens functional connectivity precedes apathy in Parkinson's disease. Brain 2023:7109291. [PMID: 37019846 DOI: 10.1093/brain/awad113] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 03/20/2023] [Accepted: 03/23/2023] [Indexed: 04/07/2023] Open
Abstract
Work in animal and human neuroscience has identified neural regions forming a network involved in the production of motivated, goal-directed behaviour. In particular, the nucleus accumbens and anterior cingulate cortex are recognized as key network nodes underlying decisions of whether to exert effort for reward, to drive behaviour. Previous work has convincingly shown that this cognitive mechanism, known as effort-based decision making, is altered in people with Parkinson's disease with a syndrome of reduced goal-directed behaviour - apathy. Building on this work, we investigated whether the neural regions implementing effort-based decision-making were associated with apathy in Parkinson's disease, and more importantly, whether changes to these regions were evident prior to apathy development. We performed a large, multimodal neuroimaging analysis in a cohort of people with Parkinson's disease (n = 199) with and without apathy at baseline. All participants had ∼ 2 year follow-up apathy scores, enabling examination of brain structure and function specifically in those with normal motivation who converted to apathy by ∼ 2 year follow-up. In addition, of the people with normal motivation, a subset (n = 56) had follow-up neuroimaging data, allowing for examination of the rate of change in key nodes over time in those who did, and did not, convert to apathy. Healthy control (n = 54) data was also included to aid interpretation of findings. Functional connectivity between the nucleus accumbens and dorsal anterior cingulate cortex was higher in people with normal motivation who later converted to apathy compared to those who did not, whereas no structural differences were evident between these groups. In contrast, grey matter volume in these regions was reduced in the group with existing apathy. Furthermore, of those with normal motivation who had undergone longitudinal neuroimaging, converters to apathy showed a higher rate of change in grey matter volume within the nucleus accumbens. Overall, we show that changes in functional connectivity between nucleus accumbens and anterior cingulate cortex precedes apathy in people with Parkinson's disease, with conversion to apathy associated with higher rate of grey matter volume loss in nucleus accumbens, despite no baseline differences. These findings significantly add to an accumulating body of transdiagnostic evidence that apathy arises from disruption to key nodes within a network in which normal goal-directed behaviour is instantiated, and raise the possibility of identifying those at risk for developing apathy before overt motivational deficits have arisen.
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Affiliation(s)
- Lee-Anne Morris
- Department of Medicine, University of Otago, Christchurch, 8011, New Zealand
- New Zealand Brain Research Institute, Christchurch, 8011, New Zealand
| | - Samuel J Harrison
- Department of Medicine, University of Otago, Christchurch, 8011, New Zealand
- New Zealand Brain Research Institute, Christchurch, 8011, New Zealand
| | - Tracy R Melzer
- Department of Medicine, University of Otago, Christchurch, 8011, New Zealand
- New Zealand Brain Research Institute, Christchurch, 8011, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, 8041, New Zealand
| | - John C Dalrymple-Alford
- Department of Medicine, University of Otago, Christchurch, 8011, New Zealand
- New Zealand Brain Research Institute, Christchurch, 8011, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, 8041, New Zealand
| | - Tim J Anderson
- Department of Medicine, University of Otago, Christchurch, 8011, New Zealand
- New Zealand Brain Research Institute, Christchurch, 8011, New Zealand
- Department of Neurology, Christchurch Hospital, Te Whatu Ora Health New Zealand, Waitaha Canterbury, 8011, New Zealand
| | - Michael R MacAskill
- Department of Medicine, University of Otago, Christchurch, 8011, New Zealand
- New Zealand Brain Research Institute, Christchurch, 8011, New Zealand
| | - Campbell J Le Heron
- Department of Medicine, University of Otago, Christchurch, 8011, New Zealand
- New Zealand Brain Research Institute, Christchurch, 8011, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, 8041, New Zealand
- Department of Neurology, Christchurch Hospital, Te Whatu Ora Health New Zealand, Waitaha Canterbury, 8011, New Zealand
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9
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Barrett-Young A, Abraham WC, Cheung CY, Gale J, Hogan S, Ireland D, Keenan R, Knodt AR, Melzer TR, Moffitt TE, Ramrakha S, Tham YC, Wilson GA, Wong TY, Hariri AR, Poulton R. Associations Between Thinner Retinal Neuronal Layers and Suboptimal Brain Structural Integrity in a Middle-Aged Cohort. Eye Brain 2023; 15:25-35. [PMID: 36936476 PMCID: PMC10018220 DOI: 10.2147/eb.s402510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 02/28/2023] [Indexed: 03/12/2023] Open
Abstract
Purpose The retina has potential as a biomarker of brain health and Alzheimer's disease (AD) because it is the only part of the central nervous system which can be easily imaged and has advantages over brain imaging technologies. Few studies have compared retinal and brain measurements in a middle-aged sample. The objective of our study was to investigate whether retinal neuronal measurements were associated with structural brain measurements in a middle-aged population-based cohort. Participants and Methods Participants were members of the Dunedin Multidisciplinary Health and Development Study (n=1037; a longitudinal cohort followed from birth and at ages 3, 5, 7, 9, 11, 13, 15, 18, 21, 26, 32, 38, and most recently at age 45, when 94% of the living Study members participated). Retinal nerve fibre layer (RNFL) and ganglion cell-inner plexiform layer (GC-IPL) thickness were measured by optical coherence tomography (OCT). Brain age gap estimate (brainAGE), cortical surface area, cortical thickness, subcortical grey matter volumes, white matter hyperintensities, were measured by magnetic resonance imaging (MRI). Results Participants with both MRI and OCT data were included in the analysis (RNFL n=828, female n=413 [49.9%], male n=415 [50.1%]; GC-IPL n=825, female n=413 [50.1%], male n=412 [49.9%]). Thinner retinal neuronal layers were associated with older brain age, smaller cortical surface area, thinner average cortex, smaller subcortical grey matter volumes, and increased volume of white matter hyperintensities. Conclusion These findings provide evidence that the retinal neuronal layers reflect differences in midlife structural brain integrity consistent with increased risk for later AD, supporting the proposition that the retina may be an early biomarker of brain health.
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Affiliation(s)
| | | | - Carol Y Cheung
- Department of Ophthalmology and Visual Sciences, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong
| | - Jesse Gale
- Department of Surgery & Anaesthesia, University of Otago, Wellington, New Zealand
| | - Sean Hogan
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - David Ireland
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Ross Keenan
- Department of Radiology, Christchurch Hospital, Christchurch, New Zealand
- Pacific Radiology Group, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Annchen R Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Sandhya Ramrakha
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Yih Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Graham A Wilson
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | - Tien Yin Wong
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Tsinghua Medicine, Tsinghua University, Beijing, People’s Republic of China
| | - Ahmad R Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Richie Poulton
- Department of Psychology, University of Otago, Dunedin, New Zealand
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10
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Almuqbel MM, Palmer NJ, Jenkins A, Keenan RJ, Melzer TR. Magnetic resonance imaging of breast implants: Optimizing tissue contrast. J Med Imaging Radiat Sci 2023; 54:9-15. [PMID: 36646549 DOI: 10.1016/j.jmir.2022.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 11/24/2022] [Accepted: 12/05/2022] [Indexed: 01/16/2023]
Abstract
INTRODUCTION Patients with breast implants need to undergo regular screening MRI procedures. One of the key requirements of this screening scan is the ability to suppress one or more tissues (water, fat, or silicone) simultaneously. However, the presence of "foreign" implants within the breast biological space affects the MRI scanner's normal operating mode. Often, this requires operator's supervision to make sure the correct image contrast is achieved. METHODS We built a phantom that represents the commonly encountered tissues (water, fat, and silicone) in breast implant imaging. The phantom was used to optimise imaging parameters and highlight common challenges encountered while imaging breast implants. We scanned the phantom on seven different MRI scanners (including 1.5T and 3T) and produced vendor-specific cheat-sheets on how to image breast implants. Ethical approval was not required for this article type. CONCLUSION Performing a breast MRI procedure with implants in-situ can be challenging. Employing a purpose-built phantom, we provide easy-to-use cheat sheets, with examples, outlining steps that can be taken to ensure appropriate tissue suppression and image contrast in breast implant MRI. We hope these cheat-sheets will help MRI practitioners to confidently and efficiently achieve accurate image contrasts across a number of implant scenarios which will aid in improving diagnostic accuracy, treatment plans, and thus prognosis for the patient.
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Affiliation(s)
- Mustafa M Almuqbel
- Pacific Radiology Group, Christchurch, New Zealand; New Zealand Brain Research Institute, Christchurch, New Zealand; Department of Medicine, University of Otago, Christchurch, New Zealand.
| | | | | | - Ross J Keenan
- Pacific Radiology Group, Christchurch, New Zealand; New Zealand Brain Research Institute, Christchurch, New Zealand; Department of Radiology, Christchurch Hospital, Christchurch, New Zealand
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand; Department of Medicine, University of Otago, Christchurch, New Zealand; School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
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11
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Whitman ET, Knodt AR, Elliott ML, Abraham WC, Cheyne K, Hogan S, Ireland D, Keenan R, Lueng JH, Melzer TR, Poulton R, Purdy SC, Ramrakha S, Thorne PR, Caspi A, Moffitt TE, Hariri AR. Functional Topography of the Neocortex Predicts Covariation in Complex Cognitive and Basic Motor Abilities. bioRxiv 2023:2023.01.09.523297. [PMID: 36711683 PMCID: PMC9881949 DOI: 10.1101/2023.01.09.523297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Although higher-order cognitive and lower-order sensorimotor abilities are generally regarded as distinct and studied separately, there is evidence that they not only covary but also that this covariation increases across the lifespan. This pattern has been leveraged in clinical settings where a simple assessment of sensory or motor ability (e.g., hearing, gait speed) can forecast age-related cognitive decline and risk for dementia. However, the brain mechanisms underlying cognitive, sensory, and motor covariation are largely unknown. Here, we examined whether such covariation in midlife reflects variability in common versus distinct neocortical networks using individualized maps of functional topography derived from BOLD fMRI data collected in 769 45-year old members of a population-representative cohort. Analyses revealed that variability in basic motor but not hearing ability reflected individual differences in the functional topography of neocortical networks typically supporting cognitive ability. These patterns suggest that covariation in motor and cognitive abilities in midlife reflects convergence of function in higher-order neocortical networks and that gait speed may not be simply a measure of physical function but rather an integrative index of nervous system health.
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Affiliation(s)
- Ethan T. Whitman
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Annchen R. Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Maxwell L. Elliott
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA, USA
| | | | - Kirsten Cheyne
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Sean Hogan
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Ross Keenan
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- Christchurch Radiology Group, Christchurch, New Zealand
| | - Joan H. Lueng
- School of Psychology, University of Auckland, New Zealand
- Eisdell Moore Centre, University of Auckland, New Zealand
| | - Tracy R. Melzer
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Suzanne C. Purdy
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- School of Psychology, University of Auckland, New Zealand
- Eisdell Moore Centre, University of Auckland, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Peter R. Thorne
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- Eisdell Moore Centre, University of Auckland, New Zealand
- School of Population Health, University of Auckland, New Zealand
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- King’s College London, Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, London, UK
- PROMENTA, Department of Psychology, University of Oslo, Norway
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Terrie E. Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- King’s College London, Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, London, UK
- PROMENTA, Department of Psychology, University of Oslo, Norway
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Ahmad R. Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
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12
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Murray SJ, Almuqbel MM, Felton SA, Palmer NJ, Myall DJ, Shoorangiz R, Ella A, Keller M, Palmer DN, Melzer TR, Mitchell NL. Progressive MRI brain volume changes in ovine models of CLN5 and CLN6 neuronal ceroid lipofuscinosis. Brain Commun 2023; 5:fcac339. [PMID: 36632184 PMCID: PMC9830986 DOI: 10.1093/braincomms/fcac339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 09/28/2022] [Accepted: 01/01/2023] [Indexed: 01/03/2023] Open
Abstract
Neuronal ceroid lipofuscinoses (Batten disease) are a group of inherited lysosomal storage disorders characterized by progressive neurodegeneration leading to motor and cognitive dysfunction, seizure activity and blindness. The disease can be caused by mutations in 1 of 13 ceroid lipofuscinosis neuronal (CLN) genes. Naturally occurring sheep models of the CLN5 and CLN6 neuronal ceroid lipofuscinoses recapitulate the clinical disease progression and post-mortem pathology of the human disease. We used longitudinal MRI to assess global and regional brain volume changes in CLN5 and CLN6 affected sheep compared to age-matched controls over 18 months. In both models, grey matter volume progressively decreased over time, while cerebrospinal fluid volume increased in affected sheep compared with controls. Total grey matter volume showed a strong positive correlation with clinical scores, while cerebrospinal fluid volume was negatively correlated with clinical scores. Cortical regions in affected animals showed significant atrophy at baseline (5 months of age) and progressively declined over the disease course. Subcortical regions were relatively spared with the exception of the caudate nucleus in CLN5 affected animals that degenerated rapidly at end-stage disease. Our results, which indicate selective vulnerability and provide a timeline of degeneration of specific brain regions in two sheep models of neuronal ceroid lipofuscinoses, will provide a clinically relevant benchmark for assessing therapeutic efficacy in subsequent trials of gene therapy for CLN5 and CLN6 disease.
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Affiliation(s)
- Samantha J Murray
- Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, New Zealand
| | - Mustafa M Almuqbel
- Pacific Radiology Group, Christchurch 8014, New Zealand,New Zealand Brain Research Institute, Christchurch 8011, New Zealand
| | | | | | - Daniel J Myall
- New Zealand Brain Research Institute, Christchurch 8011, New Zealand
| | - Reza Shoorangiz
- New Zealand Brain Research Institute, Christchurch 8011, New Zealand
| | | | - Matthieu Keller
- UMR Physiologie de la Reproduction & des Comportements, INRAE/CNRS/University of Tours, F-37380 Nouzilly, France
| | - David N Palmer
- Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, New Zealand
| | | | - Nadia L Mitchell
- Correspondence to: Nadia Mitchell Faculty of Agricultural and Life Sciences, PO Box 85084, Lincoln University Lincoln 7647, Canterbury, New Zealand E-mail:
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13
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Zhao Y, van Heese E, Laansma MA, Al‐Bachari S, Anderson T, Assogna F, Berendse HW, Bright J, Cendes F, Dalrymple‐Alford J, Debove I, Dirkx M, Druzgal TJ, Emsley H, Fouche JP, Garraux G, Guimarães R, Helmich R, Jahanshad N, Kim HB, Klein JC, Lochner C, Mackay C, McMillan CT, Melzer TR, Newman BT, Owens‐Walton C, Parkes L, Piras F, Pitcher T, Poston KL, Rango M, Ribeiro LF, Rocha C, Roos A, Rummel C, Santos L, Schmidt R, Spalletta G, Squarcina L, Schwingenschuh P, Vecchio D, Vriend C, Wang J, Weintraub D, Wiest R, Yasuda C, Thompson PM, van der Werf YD, Gutman BA. TV‐L1 Ordinal Logistic Regression Reveals New Morphometric Patterns Related to Parkinsonian Symptom Severity: An ENIGMA‐PD study. Alzheimers Dement 2022. [DOI: 10.1002/alz.067037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Yuji Zhao
- Illinois Institute of Technology Chicago IL USA
| | | | | | | | | | | | - Henk W. Berendse
- Department of Neurology, Neuroscience Amsterdam, VU University Medical Center Amsterdam Netherlands
| | - Joanna Bright
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Marina del Rey CA USA
| | | | | | | | | | | | | | - JP Fouche
- Stellenbosch University Stellenbosch South Africa
| | | | | | - Rick Helmich
- Radboud University Nijmegen Nijmegen Netherlands
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Marina del Rey CA USA
| | | | | | | | | | - Corey T McMillan
- Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
- Penn Alzheimer’s Disease Research Center, Perelman School of Medicine Philadelphia PA USA
| | - Tracy R Melzer
- University of Otago Christchurch New Zealand
- Brain Research, Christchurch New Zealand New Zealand
| | | | - Conor Owens‐Walton
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Marina del Rey CA USA
| | - Laura Parkes
- University of Manchester Manchester United Kingdom
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Chris Vriend
- Vrije Universiteit Amsterdam Amsterdam Netherlands
| | | | | | | | | | | | - Ysbrand D. van der Werf
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
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14
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Tippett LJ, Cawston EE, Morgan CA, Melzer TR, Brickell KL, Ilse C, Cheung G, Kirk IJ, Roberts RP, Govender J, Griner L, Le Heron C, Buchanan S, Port W, Dudley M, Anderson TJ, Williams JM, Cutfield NJ, Dalrymple-Alford JC, Wood P. Dementia Prevention Research Clinic: a longitudinal study investigating factors influencing the development of Alzheimer’s disease in Aotearoa, New Zealand. J R Soc N Z 2022. [DOI: 10.1080/03036758.2022.2098780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Affiliation(s)
- Lynette J. Tippett
- NZ-Dementia Prevention Research Clinic, New Zealand
- School of Psychology, University of Auckland, Auckland, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Erin E. Cawston
- NZ-Dementia Prevention Research Clinic, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- Department of Pharmacology, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Catherine A. Morgan
- NZ-Dementia Prevention Research Clinic, New Zealand
- School of Psychology, University of Auckland, Auckland, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Tracy R. Melzer
- NZ-Dementia Prevention Research Clinic, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Kiri L. Brickell
- NZ-Dementia Prevention Research Clinic, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- School of Medicine, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Christina Ilse
- NZ-Dementia Prevention Research Clinic, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Gary Cheung
- NZ-Dementia Prevention Research Clinic, New Zealand
- Department of Psychological Medicine, School of Medicine, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Ian J. Kirk
- NZ-Dementia Prevention Research Clinic, New Zealand
- School of Psychology, University of Auckland, Auckland, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Reece P. Roberts
- NZ-Dementia Prevention Research Clinic, New Zealand
- School of Psychology, University of Auckland, Auckland, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Jane Govender
- NZ-Dementia Prevention Research Clinic, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Leon Griner
- NZ-Dementia Prevention Research Clinic, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- Department of Pharmacology, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Campbell Le Heron
- NZ-Dementia Prevention Research Clinic, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Dept of Neurology, Canterbury District Health Board, Christchurch, New Zealand
| | - Sarah Buchanan
- NZ-Dementia Prevention Research Clinic, New Zealand
- Department of Neurology, Southern District Health Board, Dunedin, New Zealand
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | - Waiora Port
- NZ-Dementia Prevention Research Clinic, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Makarena Dudley
- NZ-Dementia Prevention Research Clinic, New Zealand
- School of Psychology, University of Auckland, Auckland, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Tim J. Anderson
- NZ-Dementia Prevention Research Clinic, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Dept of Neurology, Canterbury District Health Board, Christchurch, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Joanna M. Williams
- NZ-Dementia Prevention Research Clinic, New Zealand
- Brain Health Research Centre, University of Otago, Dunedin, New Zealand
- Department of Anatomy, University of Otago, Dunedin, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Nicholas J. Cutfield
- NZ-Dementia Prevention Research Clinic, New Zealand
- Department of Neurology, Southern District Health Board, Dunedin, New Zealand
- Department of Medicine, University of Otago, Dunedin, New Zealand
- Brain Health Research Centre, University of Otago, Dunedin, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - John C. Dalrymple-Alford
- NZ-Dementia Prevention Research Clinic, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
| | - Phil Wood
- NZ-Dementia Prevention Research Clinic, New Zealand
- School of Medicine, University of Auckland, Auckland, New Zealand
- Ministry of Health, Wellington, New Zealand
- Department of Older Adults and Home Health, Waitemata District Health Board, Auckland, New Zealand
- Brain Research New Zealand, Rangahau Roro Aotearoa, Dunedin, New Zealand
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15
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MacAskill MR, Pitcher TL, Melzer TR, Myall DJ, Horne KL, Shoorangiz R, Almuqbel MM, Livingston L, Grenfell S, Pascoe MJ, Marshall ET, Marsh S, Perry SE, Meissner WG, Theys C, Le Heron CJ, Keenan RJ, Dalrymple-Alford JC, Anderson TJ. The New Zealand Parkinson’s progression programme. J R Soc N Z 2022. [DOI: 10.1080/03036758.2022.2111448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Affiliation(s)
- Michael R. MacAskill
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Toni L. Pitcher
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Tracy R. Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Daniel J. Myall
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | | | - Reza Shoorangiz
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand
| | - Mustafa M. Almuqbel
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Pacific Radiology, Christchurch, New Zealand
| | - Leslie Livingston
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Sophie Grenfell
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Maddie J. Pascoe
- New Zealand Brain Research Institute, Christchurch, New Zealand
- School of Physical Education, Sport and Exercise Sciences, University of Otago, Dunedin, New Zealand
| | - Ethan T. Marshall
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Steven Marsh
- Department of Medical Physics, University of Canterbury, Christchurch, New Zealand
| | - Sarah E. Perry
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Wassilios G. Meissner
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France
| | - Catherine Theys
- New Zealand Brain Research Institute, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Campbell J. Le Heron
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
- Department of Neurology, Canterbury District Health Board, Christchurch, New Zealand
| | - Ross J. Keenan
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Pacific Radiology, Christchurch, New Zealand
| | - John C. Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Tim J. Anderson
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Department of Neurology, Canterbury District Health Board, Christchurch, New Zealand
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16
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Morgan CA, Roberts RP, Chaffey T, Tahara-Eckl L, van der Meer M, Günther M, Anderson TJ, Cutfield NJ, Dalrymple-Alford JC, Kirk IJ, Rose Addis D, Tippett LJ, Melzer TR. Reproducibility and repeatability of magnetic resonance imaging in dementia. Phys Med 2022; 101:8-17. [PMID: 35849909 DOI: 10.1016/j.ejmp.2022.06.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/09/2022] [Accepted: 06/27/2022] [Indexed: 01/01/2023] Open
Abstract
PURPOSE Individualised predictive models of cognitive decline require disease-monitoring markers that are repeatable. For wide-spread adoption, such markers also need to be reproducible at different locations. This study assessed the repeatability and reproducibility of MRI markers derived from a dementia protocol. METHODS Six participants were scanned at three different sites with a 3T MRI scanner. The protocol employed: T1-weighted (T1w) imaging, resting state functional MRI (rsfMRI), arterial spin labelling (ASL), diffusion-weighted imaging (DWI), T2-weighted fluid attenuation inversion recovery (FLAIR), T2-weighted (T2w) imaging, and susceptibility weighted imaging (SWI). Participants were scanned repeatedly, up to six times over a maximum period of five years. One participant was also scanned a further three times on sequential days on one scanner. Fifteen derived metrics were computed from the seven different modalities. RESULTS Reproducibility (coefficient of variation; CoV, across sites) was best for T1w derived grey matter, white matter and hippocampal volume (CoV < 1.5%), compared to rsfMRI and SWI derived metrics (CoV, 19% and 21%). For a given metric, long-term repeatability (CoV across time) was comparable to reproducibility, with short-term repeatability considerably better. CONCLUSIONS Reproducibility and repeatability were assessed for a suite of markers calculated from a dementia MRI protocol. In general, structural markers were less variable than functional MRI markers. Variability over time on the same scanner was comparable to variability measured across different scanners. Overall, the results support the viability of multi-site longitudinal studies for monitoring cognitive decline.
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Affiliation(s)
- Catherine A Morgan
- School of Psychology and Centre for Brain Research, The University of Auckland, Auckland, New Zealand; Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, New Zealand; Centre for Advanced MRI, Auckland UniServices Limited, Auckland, New Zealand.
| | - Reece P Roberts
- School of Psychology and Centre for Brain Research, The University of Auckland, Auckland, New Zealand; Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, New Zealand
| | - Tessa Chaffey
- School of Psychology and Centre for Brain Research, The University of Auckland, Auckland, New Zealand
| | - Lenore Tahara-Eckl
- School of Psychology and Centre for Brain Research, The University of Auckland, Auckland, New Zealand
| | - Meghan van der Meer
- School of Psychology and Centre for Brain Research, The University of Auckland, Auckland, New Zealand
| | - Matthias Günther
- Fraunhofer Institute for Digital Medicine and University of Bremen, Bremen, Germany
| | - Timothy J Anderson
- Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, New Zealand; Department of Medicine, University of Otago, Christchurch, New Zealand; NZ Brain Research Institute, Christchurch, New Zealand
| | - Nicholas J Cutfield
- Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, New Zealand; Department of Medicine, University of Otago, Dunedin, New Zealand
| | - John C Dalrymple-Alford
- Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, New Zealand; Department of Medicine, University of Otago, Christchurch, New Zealand; NZ Brain Research Institute, Christchurch, New Zealand; School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Ian J Kirk
- School of Psychology and Centre for Brain Research, The University of Auckland, Auckland, New Zealand; Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, New Zealand
| | - Donna Rose Addis
- School of Psychology and Centre for Brain Research, The University of Auckland, Auckland, New Zealand; Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, New Zealand; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada; Department of Psychology, University of Toronto, Toronto, Canada
| | - Lynette J Tippett
- School of Psychology and Centre for Brain Research, The University of Auckland, Auckland, New Zealand; Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, New Zealand
| | - Tracy R Melzer
- Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, New Zealand; Department of Medicine, University of Otago, Christchurch, New Zealand; NZ Brain Research Institute, Christchurch, New Zealand; School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
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17
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Carlisi CO, Moffitt TE, Knodt AR, Harrington H, Langevin S, Ireland D, Melzer TR, Poulton R, Ramrakha S, Caspi A, Hariri AR, Viding E. Association of subcortical gray-matter volumes with life-course-persistent antisocial behavior in a population-representative longitudinal birth cohort. Dev Psychopathol 2021; 34:1-11. [PMID: 34657646 PMCID: PMC7613992 DOI: 10.1017/s0954579421000377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Neuropsychological evidence supports the developmental taxonomy theory of antisocial behavior, suggesting that abnormal brain development distinguishes life-course-persistent from adolescence-limited antisocial behavior. Recent neuroimaging work confirmed that prospectively-measured life-course-persistent antisocial behavior is associated with differences in cortical brain structure. Whether this extends to subcortical brain structures remains uninvestigated. This study compared subcortical gray-matter volumes between 672 members of the Dunedin Study previously defined as exhibiting life-course-persistent, adolescence-limited or low-level antisocial behavior based on repeated assessments at ages 7-26 years. Gray-matter volumes of 10 subcortical structures were compared across groups. The life-course-persistent group had lower volumes of amygdala, brain stem, cerebellum, hippocampus, pallidum, thalamus, and ventral diencephalon compared to the low-antisocial group. Differences between life-course-persistent and adolescence-limited individuals were comparable in effect size to differences between life-course-persistent and low-antisocial individuals, but were not statistically significant due to less statistical power. Gray-matter volumes in adolescence-limited individuals were near the norm in this population-representative cohort and similar to volumes in low-antisocial individuals. Although this study could not establish causal links between brain volume and antisocial behavior, it constitutes new biological evidence that all people with antisocial behavior are not the same, supporting a need for greater developmental and diagnostic precision in clinical, forensic, and policy-based interventions.
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Affiliation(s)
- Christina O Carlisi
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- PROMENTA, Department of Psychology, University of Oslo, Oslo, Norway
| | - Annchen R Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - HonaLee Harrington
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Stephanie Langevin
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- School of Criminology, University of Montreal, Quebec, Canada
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Brain Research New Zealand - Rangahau Roro Aotearo Centre of Research Excellence, Dunedin, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- PROMENTA, Department of Psychology, University of Oslo, Oslo, Norway
| | - Ahmad R Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Essi Viding
- Division of Psychology and Language Sciences, University College London, London, UK
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18
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Elliott ML, Belsky DW, Knodt AR, Ireland D, Melzer TR, Poulton R, Ramrakha S, Caspi A, Moffitt TE, Hariri AR. Brain-age in midlife is associated with accelerated biological aging and cognitive decline in a longitudinal birth cohort. Mol Psychiatry 2021; 26:3829-3838. [PMID: 31822815 PMCID: PMC7282987 DOI: 10.1038/s41380-019-0626-7] [Citation(s) in RCA: 117] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Revised: 11/20/2019] [Accepted: 11/26/2019] [Indexed: 01/06/2023]
Abstract
An individual's brainAGE is the difference between chronological age and age predicted from machine-learning models of brain-imaging data. BrainAGE has been proposed as a biomarker of age-related deterioration of the brain. Having an older brainAGE has been linked to Alzheimer's, dementia, and mortality. However, these findings are largely based on cross-sectional associations which can confuse age differences with cohort differences. To illuminate the validity of brainAGE as a biomarker of accelerated brain aging, a study is needed of a large cohort all born in the same year who nevertheless vary on brainAGE. In the Dunedin Study, a population-representative 1972-73 birth cohort, we measured brainAGE at age 45 years, as well as the pace of biological aging and cognitive decline in longitudinal data from childhood to midlife (N = 869). In this cohort, all chronological age 45 years, brainAGE was measured reliably (ICC = 0.81) and ranged from 24 to 72 years. Those with older midlife brainAGEs tended to have poorer cognitive function in both adulthood and childhood, as well as impaired brain health at age 3. Furthermore, those with older brainAGEs had an accelerated pace of biological aging, older facial appearance, and early signs of cognitive decline from childhood to midlife. These findings help to validate brainAGE as a potential surrogate biomarker for midlife intervention studies that seek to measure dementia-prevention efforts in midlife. However, the findings also caution against the assumption that brainAGE scores represent only age-related deterioration of the brain as they may also index central nervous system variation present since childhood.
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Affiliation(s)
- Maxwell L Elliott
- Department of Psychology & Neuroscience, Duke University, Box 104410, Durham, NC, 27708, USA
| | - Daniel W Belsky
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
- Robert N. Butler Columbia Aging Center, Columbia University, New York, NY, USA
| | - Annchen R Knodt
- Department of Psychology & Neuroscience, Duke University, Box 104410, Durham, NC, 27708, USA
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, 163 Union St E, Dunedin, 9016, New Zealand
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, 163 Union St E, Dunedin, 9016, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, 163 Union St E, Dunedin, 9016, New Zealand
| | - Avshalom Caspi
- Department of Psychology & Neuroscience, Duke University, Box 104410, Durham, NC, 27708, USA
- Social, Genetic & Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
- Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC, 27708, USA
- Center for Genomic and Computational Biology, Duke University, Box 90338, Durham, NC, 27708, USA
| | - Terrie E Moffitt
- Department of Psychology & Neuroscience, Duke University, Box 104410, Durham, NC, 27708, USA
- Social, Genetic & Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
- Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC, 27708, USA
- Center for Genomic and Computational Biology, Duke University, Box 90338, Durham, NC, 27708, USA
| | - Ahmad R Hariri
- Department of Psychology & Neuroscience, Duke University, Box 104410, Durham, NC, 27708, USA.
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19
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Laansma MA, Bright JK, Al-Bachari S, Anderson TJ, Ard T, Assogna F, Baquero KA, Berendse HW, Blair J, Cendes F, Dalrymple-Alford JC, de Bie RMA, Debove I, Dirkx MF, Druzgal J, Emsley HCA, Garraux G, Guimarães RP, Gutman BA, Helmich RC, Klein JC, Mackay CE, McMillan CT, Melzer TR, Parkes LM, Piras F, Pitcher TL, Poston KL, Rango M, Ribeiro LF, Rocha CS, Rummel C, Santos LSR, Schmidt R, Schwingenschuh P, Spalletta G, Squarcina L, van den Heuvel OA, Vriend C, Wang JJ, Weintraub D, Wiest R, Yasuda CL, Jahanshad N, Thompson PM, van der Werf YD. International Multicenter Analysis of Brain Structure Across Clinical Stages of Parkinson's Disease. Mov Disord 2021; 36:2583-2594. [PMID: 34288137 PMCID: PMC8595579 DOI: 10.1002/mds.28706] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 06/07/2021] [Accepted: 06/09/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Brain structure abnormalities throughout the course of Parkinson's disease have yet to be fully elucidated. OBJECTIVE Using a multicenter approach and harmonized analysis methods, we aimed to shed light on Parkinson's disease stage-specific profiles of pathology, as suggested by in vivo neuroimaging. METHODS Individual brain MRI and clinical data from 2357 Parkinson's disease patients and 1182 healthy controls were collected from 19 sources. We analyzed regional cortical thickness, cortical surface area, and subcortical volume using mixed-effects models. Patients grouped according to Hoehn and Yahr stage were compared with age- and sex-matched controls. Within the patient sample, we investigated associations with Montreal Cognitive Assessment score. RESULTS Overall, patients showed a thinner cortex in 38 of 68 regions compared with controls (dmax = -0.20, dmin = -0.09). The bilateral putamen (dleft = -0.14, dright = -0.14) and left amygdala (d = -0.13) were smaller in patients, whereas the left thalamus was larger (d = 0.13). Analysis of staging demonstrated an initial presentation of thinner occipital, parietal, and temporal cortices, extending toward rostrally located cortical regions with increased disease severity. From stage 2 and onward, the bilateral putamen and amygdala were consistently smaller with larger differences denoting each increment. Poorer cognition was associated with widespread cortical thinning and lower volumes of core limbic structures. CONCLUSIONS Our findings offer robust and novel imaging signatures that are generally incremental across but in certain regions specific to disease stages. Our findings highlight the importance of adequately powered multicenter collaborations.
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Affiliation(s)
- Max A Laansma
- Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Joanna K Bright
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA
| | - Sarah Al-Bachari
- Faculty of Health and Medicine, The University of Lancaster, Lancaster, UK.,Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Department of Neurology, Royal Preston Hospital, Preston, UK
| | - Tim J Anderson
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
| | - Tyler Ard
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA
| | - Francesca Assogna
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | | | - Henk W Berendse
- Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jamie Blair
- Department of Medical Imaging, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Fernando Cendes
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
| | - John C Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand.,School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand.,Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, Auckland, New Zealand
| | - Rob M A de Bie
- Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Ines Debove
- Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Michiel F Dirkx
- Department of Neurology and Center of Expertise for Parkinson & Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.,Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Jason Druzgal
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - Hedley C A Emsley
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Lancaster Medical School, Lancaster University, Preston, UK
| | - Gäetan Garraux
- GIGA-CRC In Vivo Imaging, University of Liège, Liège, Belgium.,Department of Neurology, CHU Liège, Liège, Belgium
| | - Rachel P Guimarães
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
| | - Boris A Gutman
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA
| | - Rick C Helmich
- Department of Neurology and Center of Expertise for Parkinson & Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.,Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Johannes C Klein
- Department of Clinical Neurosciences, Division of Clinical Neurology, Oxford Parkinson's Disease Centre, Nuffield, University of Oxford, Oxford, UK
| | - Clare E Mackay
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Corey T McMillan
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Tracy R Melzer
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand.,New Zealand Brain Research Institute, Christchurch, New Zealand.,Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, Auckland, New Zealand
| | - Laura M Parkes
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Toni L Pitcher
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand.,New Zealand Brain Research Institute, Christchurch, New Zealand.,Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, Auckland, New Zealand
| | - Kathleen L Poston
- Department of Neurology & Neurological Sciences, Stanford University, Palo Alto, California, USA
| | - Mario Rango
- Excellence Center for Advanced MR Techniques and Parkinson's Disease Center, Neurology Unit, Fondazione IRCCS Cà Granda Maggiore Policlinico Hospital, University of Milan, Milan, Italy
| | - Letícia F Ribeiro
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
| | - Cristiane S Rocha
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil.,Department of Medical Genetics, University of Campinas, Campinas, Brazil
| | - Christian Rummel
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Bern, Switzerland
| | - Lucas S R Santos
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
| | - Reinhold Schmidt
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University Graz, Graz, Austria
| | | | | | - Letizia Squarcina
- Excellence Center for Advanced MR Techniques and Parkinson's Disease Center, Neurology Unit, Fondazione IRCCS Cà Granda Maggiore Policlinico Hospital, University of Milan, Milan, Italy
| | - Odile A van den Heuvel
- Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Chris Vriend
- Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jiun-Jie Wang
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan City, Taiwan.,Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Keelung Branch, Keelung City, Taiwan
| | - Daniel Weintraub
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Roland Wiest
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Bern, Switzerland
| | - Clarissa L Yasuda
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA
| | - Ysbrand D van der Werf
- Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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20
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Murray SJ, Russell KN, Melzer TR, Gray SJ, Heap SJ, Palmer DN, Mitchell NL. Intravitreal gene therapy protects against retinal dysfunction and degeneration in sheep with CLN5 Batten disease. Exp Eye Res 2021; 207:108600. [PMID: 33930398 DOI: 10.1016/j.exer.2021.108600] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 04/12/2021] [Accepted: 04/21/2021] [Indexed: 01/01/2023]
Abstract
Neuronal ceroid lipofuscinoses (NCL; Batten disease) are a group of inherited neurodegenerative diseases primarily affecting children. A common feature across most NCLs is the progressive loss of vision. We performed intravitreal injections of self-complementary AAV9 vectors packaged with either ovine CLN5 or CLN6 into one eye of 3-month-old CLN5-/- or CLN6-/- animals, respectively. Electroretinography (ERG) was performed every month following treatment, and retinal histology was assessed post-mortem in the treated compared to untreated eye. In CLN5-/- animals, ERG amplitudes were normalised in the treated eye whilst the untreated eye declined in a similar manner to CLN5 affected controls. In CLN6-/- animals, ERG amplitudes in both eyes declined over time although the treated eye showed a slower decline. Post-mortem examination revealed significant attenuation of retinal atrophy and lysosomal storage body accumulation in the treated eye compared with the untreated eye in CLN5-/- animals. This proof-of-concept study provides the first observation of efficacious intravitreal gene therapy in a large animal model of NCL. In particular, the single administration of AAV9-mediated intravitreal gene therapy can successfully ameliorate retinal deficits in CLN5-/- sheep. Combining ocular gene therapy with brain-directed therapy presents a promising treatment strategy to be used in future sheep trials aiming to halt neurological and retinal disease in CLN5 Batten disease.
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Affiliation(s)
- Samantha J Murray
- Faculty of Agricultural and Life Sciences, Lincoln University, Lincoln, 7647, New Zealand
| | - Katharina N Russell
- Faculty of Agricultural and Life Sciences, Lincoln University, Lincoln, 7647, New Zealand
| | - Tracy R Melzer
- Department of Medicine, University of Otago, Christchurch and the New Zealand Brain Research Institute, Christchurch, 8011, New Zealand
| | - Steven J Gray
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Stephen J Heap
- McMaster & Heap Veterinary Practice, Christchurch, 8025, New Zealand
| | - David N Palmer
- Faculty of Agricultural and Life Sciences, Lincoln University, Lincoln, 7647, New Zealand; Department of Radiology, University of Otago, Christchurch, 8140, New Zealand
| | - Nadia L Mitchell
- Faculty of Agricultural and Life Sciences, Lincoln University, Lincoln, 7647, New Zealand; Department of Radiology, University of Otago, Christchurch, 8140, New Zealand.
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21
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d'Arbeloff T, Elliott ML, Knodt AR, Sison M, Melzer TR, Ireland D, Ramrakha S, Poulton R, Caspi A, Moffitt TE, Hariri AR. Midlife Cardiovascular Fitness Is Reflected in the Brain's White Matter. Front Aging Neurosci 2021; 13:652575. [PMID: 33889085 PMCID: PMC8055854 DOI: 10.3389/fnagi.2021.652575] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 03/05/2021] [Indexed: 12/18/2022] Open
Abstract
Disappointing results from clinical trials designed to delay structural brain decline and the accompanying increase in risk for dementia in older adults have precipitated a shift in testing promising interventions from late in life toward midlife before irreversible damage has accumulated. This shift, however, requires targeting midlife biomarkers that are associated with clinical changes manifesting only in late life. Here we explored possible links between one putative biomarker, distributed integrity of brain white matter, and two intervention targets, cardiovascular fitness and healthy lifestyle behaviors, in midlife. At age 45, fractional anisotropy (FA) derived from diffusion weighted MRI was used to estimate the microstructural integrity of distributed white matter tracts in a population-representative birth cohort. Age-45 cardiovascular fitness (VO2Max; N = 801) was estimated from heart rates obtained during submaximal exercise tests; age-45 healthy lifestyle behaviors were estimated using the Nyberg Health Index (N = 854). Ten-fold cross-validated elastic net predictive modeling revealed that estimated VO2Max was modestly associated with distributed FA. In contrast, there was no significant association between Nyberg Health Index scores and FA. Our findings suggest that cardiovascular fitness levels, but not healthy lifestyle behaviors, are associated with the distributed integrity of white matter in the brain in midlife. These patterns could help inform future clinical intervention research targeting ADRDs.
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Affiliation(s)
- Tracy d'Arbeloff
- Department of Psychology & Neuroscience, Duke University, Durham, NC, United States
| | - Maxwell L Elliott
- Department of Psychology & Neuroscience, Duke University, Durham, NC, United States
| | - Annchen R Knodt
- Department of Psychology & Neuroscience, Duke University, Durham, NC, United States
| | - Maria Sison
- Department of Psychology & Neuroscience, Duke University, Durham, NC, United States
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Avshalom Caspi
- Department of Psychology & Neuroscience, Duke University, Durham, NC, United States.,Social, Genetic, & Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, United Kingdom.,Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States.,Center for Genomic and Computational Biology, Duke University, Durham, NC, United States
| | - Terrie E Moffitt
- Department of Psychology & Neuroscience, Duke University, Durham, NC, United States.,Social, Genetic, & Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, United Kingdom.,Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States.,Center for Genomic and Computational Biology, Duke University, Durham, NC, United States
| | - Ahmad R Hariri
- Department of Psychology & Neuroscience, Duke University, Durham, NC, United States
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22
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Elliott ML, Caspi A, Houts RM, Ambler A, Broadbent JM, Hancox RJ, Harrington H, Hogan S, Keenan R, Knodt A, Leung JH, Melzer TR, Purdy SC, Ramrakha S, Richmond-Rakerd LS, Righarts A, Sugden K, Thomson WM, Thorne PR, Williams BS, Wilson G, Hariri AR, Poulton R, Moffitt TE. Disparities in the pace of biological aging among midlife adults of the same chronological age have implications for future frailty risk and policy. Nat Aging 2021; 1:295-308. [PMID: 33796868 PMCID: PMC8009092 DOI: 10.1038/s43587-021-00044-4] [Citation(s) in RCA: 85] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 02/10/2021] [Indexed: 02/07/2023]
Abstract
Some humans age faster than others. Variation in biological aging can be measured in midlife, but the implications of this variation are poorly understood. We tested associations between midlife biological aging and indicators of future frailty-risk in the Dunedin cohort of 1037 infants born the same year and followed to age 45. Participants' Pace of Aging was quantified by tracking declining function in 19 biomarkers indexing the cardiovascular, metabolic, renal, immune, dental, and pulmonary systems across ages 26, 32, 38, and 45 years. At age 45 in 2019, participants with faster Pace of Aging had more cognitive difficulties, signs of advanced brain aging, diminished sensory-motor functions, older appearance, and more pessimistic perceptions of aging. People who are aging more rapidly than same-age peers in midlife may prematurely need supports to sustain independence that are usually reserved for older adults. Chronological age does not adequately identify need for such supports.
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Affiliation(s)
- Maxwell L. Elliott
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Renate M. Houts
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Antony Ambler
- King’s College London, Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, London, UK
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | | | - Robert J. Hancox
- Department of Preventive and Social Medicine, Otago Medical School, University of Otago, New Zealand
| | - HonaLee Harrington
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Sean Hogan
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Ross Keenan
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- Christchurch Radiology group, Christchurch, New Zealand
| | - Annchen Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Joan H. Leung
- School of Psychology, University of Auckland, New Zealand
- Eisdell Moore Centre, University of Auckland, New Zealand
| | - Tracy R. Melzer
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Suzanne C. Purdy
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- School of Psychology, University of Auckland, New Zealand
- Eisdell Moore Centre, University of Auckland, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | | | - Antoinette Righarts
- Department of Preventive and Social Medicine, Otago Medical School, University of Otago, New Zealand
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | | | - Peter R. Thorne
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- Eisdell Moore Centre, University of Auckland, New Zealand
- School of Population Health, University of Auckland, New Zealand
| | | | - Graham Wilson
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Ahmad R. Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Terrie E. Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
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23
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Horne KL, MacAskill MR, Myall DJ, Livingston L, Grenfell S, Pascoe MJ, Young B, Shoorangiz R, Melzer TR, Pitcher TL, Anderson TJ, Dalrymple-Alford JC. Neuropsychiatric Symptoms Are Associated with Dementia in Parkinson's Disease but Not Predictive of it. Mov Disord Clin Pract 2021; 8:390-399. [PMID: 33816668 DOI: 10.1002/mdc3.13151] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 12/27/2020] [Accepted: 01/07/2021] [Indexed: 11/12/2022] Open
Abstract
Background Neuropsychiatric symptoms in Parkinson's disease (PD) may increase dementia (PDD) risk. The predictive value of these symptoms, however, has not been compared to clinical and demographic predictors of future PDD. Objectives Determine if neuropsychiatric symptoms are useful markers of PDD risk. Methods 328 PD participants completed baseline neuropsychiatric and MDS-Task Force-Level II assessments. Of these, 202 non-demented individuals were followed-up over a four-years period to detect conversion to PDD; 51 developed PDD. ROC analysis tested associations between baseline neuropsychiatric symptoms and future PDD. The probability of developing PDD was also modeled as a function of neuropsychiatric inventory (NPI)-total score, PD Questionnaire (PDQ)-hallucinations, PDQ-anxiety, and contrasted to cognitive ability, age, and motor function. Leave-one-out information criterion was used to evaluate which models provided useful information when predicting future PDD. Results The PDD group experienced greater levels of neuropsychiatric symptoms compared to the non-PDD groups at baseline. Few differences were found between the PD-MCI and PD-N groups. Six neuropsychiatric measures were significantly, but weakly, associated with future PDD. The strongest was NPI-total score: AUC = 0.66 [0.57-0.75]. There was, however, no evidence it contained useful out-of-sample predictive information of future PDD (delta ELPD = 1.8 (SD 2.5)); Similar results held for PDQ-hallucinations and PDQ-anxiety. In contrast, cognitive ability (delta ELPD = 36 (SD 8)) and age (delta ELPD = 11 (SD 5)) provided useful predictive information of future PDD. Conclusions Cognitive ability and age strongly out-performed neuropsychiatric measures as markers of developing PDD within 4 years. Therefore, neuropsychiatric symptoms do not appear to be useful markers of PDD risk.
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Affiliation(s)
- Kyla-Louise Horne
- New Zealand Brain Research Institute Christchurch New Zealand.,Department of Medicine University of Otago Christchurch New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence Christchurch New Zealand.,School of Psychology, Speech and Hearing University of Canterbury Christchurch New Zealand
| | - Michael R MacAskill
- New Zealand Brain Research Institute Christchurch New Zealand.,Department of Medicine University of Otago Christchurch New Zealand
| | - Daniel J Myall
- New Zealand Brain Research Institute Christchurch New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence Christchurch New Zealand
| | - Leslie Livingston
- New Zealand Brain Research Institute Christchurch New Zealand.,Department of Medicine University of Otago Christchurch New Zealand
| | - Sophie Grenfell
- New Zealand Brain Research Institute Christchurch New Zealand
| | - Maddie J Pascoe
- New Zealand Brain Research Institute Christchurch New Zealand
| | - Bob Young
- New Zealand Brain Research Institute Christchurch New Zealand
| | - Reza Shoorangiz
- New Zealand Brain Research Institute Christchurch New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence Christchurch New Zealand.,Department of Electrical and Computer Engineering University of Canterbury Christchurch New Zealand
| | - Tracy R Melzer
- New Zealand Brain Research Institute Christchurch New Zealand.,Department of Medicine University of Otago Christchurch New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence Christchurch New Zealand
| | - Toni L Pitcher
- New Zealand Brain Research Institute Christchurch New Zealand.,Department of Medicine University of Otago Christchurch New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence Christchurch New Zealand
| | - Tim J Anderson
- New Zealand Brain Research Institute Christchurch New Zealand.,Department of Medicine University of Otago Christchurch New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence Christchurch New Zealand.,Department of Neurology Christchurch Hospital Christchurch New Zealand
| | - John C Dalrymple-Alford
- New Zealand Brain Research Institute Christchurch New Zealand.,Department of Medicine University of Otago Christchurch New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence Christchurch New Zealand.,School of Psychology, Speech and Hearing University of Canterbury Christchurch New Zealand
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24
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Romer AL, Elliott ML, Knodt AR, Sison ML, Ireland D, Houts R, Ramrakha S, Poulton R, Keenan R, Melzer TR, Moffitt TE, Caspi A, Hariri AR. Pervasively Thinner Neocortex as a Transdiagnostic Feature of General Psychopathology. Am J Psychiatry 2021; 178:174-182. [PMID: 32600153 PMCID: PMC7772268 DOI: 10.1176/appi.ajp.2020.19090934] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
OBJECTIVE Neuroimaging research has revealed that structural brain alterations are common across broad diagnostic families of disorders rather than specific to a single psychiatric disorder. Such overlap in the structural brain correlates of mental disorders mirrors already well-documented phenotypic comorbidity of psychiatric symptoms and diagnoses, which can be indexed by a general psychopathology or p factor. The authors hypothesized that if general psychopathology drives the convergence of structural alterations common across disorders, then 1) there should be few associations unique to any one diagnostic family of disorders, and 2) associations with the p factor should overlap with those for the broader diagnostic families. METHODS Analyses were conducted on structural MRI and psychopathology data collected from 861 members of the population-representative Dunedin Multidisciplinary Health and Development Study at age 45. RESULTS Study members with high scores across three broad diagnostic families of disorders (externalizing, internalizing, thought disorder) exhibited highly overlapping patterns of reduced global and widely distributed parcel-wise neocortical thickness. Study members with high p factor scores exhibited patterns of reduced global and parcel-wise neocortical thickness nearly identical to those associated with the three broad diagnostic families. CONCLUSIONS A pattern of pervasively reduced neocortical thickness appears to be common across all forms of mental disorders and may represent a transdiagnostic feature of general psychopathology. As has been documented with regard to symptoms and diagnoses, the underlying brain structural correlates of mental disorders may not exhibit specificity, and the continued pursuit of such specific correlates may limit progress toward more effective strategies for etiological understanding, prevention, and intervention.
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Affiliation(s)
- Adrienne L. Romer
- Laboratory of NeuroGenetics, Duke University, Durham, NC, USA,Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | | | - Annchen R. Knodt
- Laboratory of NeuroGenetics, Duke University, Durham, NC, USA,Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Maria L. Sison
- Laboratory of NeuroGenetics, Duke University, Durham, NC, USA
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Renate Houts
- Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Ross Keenan
- Christchurch Radiology Group, Christchurch, New Zealand
| | - Tracy R. Melzer
- Department of Medicine, University of Otago, Christchurch, NZ,New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Terrie E. Moffitt
- Department of Psychology & Neuroscience, Duke University, Durham, NC, USA,Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA,Center for Genomic and Computational Biology, Duke University, Durham, NC, USA,Social, Genetic, and Developmental Psychiatry Research Center, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, England
| | - Avshalom Caspi
- Department of Psychology & Neuroscience, Duke University, Durham, NC, USA,Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA,Center for Genomic and Computational Biology, Duke University, Durham, NC, USA,Social, Genetic, and Developmental Psychiatry Research Center, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, England
| | - Ahmad R. Hariri
- Laboratory of NeuroGenetics, Duke University, Durham, NC, USA,Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
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25
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Richmond-Rakerd LS, Caspi A, Ambler A, d'Arbeloff T, de Bruine M, Elliott M, Harrington H, Hogan S, Houts RM, Ireland D, Keenan R, Knodt AR, Melzer TR, Park S, Poulton R, Ramrakha S, Rasmussen LJH, Sack E, Schmidt AT, Sison ML, Wertz J, Hariri AR, Moffitt TE. Childhood self-control forecasts the pace of midlife aging and preparedness for old age. Proc Natl Acad Sci U S A 2021; 118:e2010211118. [PMID: 33397808 PMCID: PMC7826388 DOI: 10.1073/pnas.2010211118] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The ability to control one's own emotions, thoughts, and behaviors in early life predicts a range of positive outcomes in later life, including longevity. Does it also predict how well people age? We studied the association between self-control and midlife aging in a population-representative cohort of children followed from birth to age 45 y, the Dunedin Study. We measured children's self-control across their first decade of life using a multi-occasion/multi-informant strategy. We measured their pace of aging and aging preparedness in midlife using measures derived from biological and physiological assessments, structural brain-imaging scans, observer ratings, self-reports, informant reports, and administrative records. As adults, children with better self-control aged more slowly in their bodies and showed fewer signs of aging in their brains. By midlife, these children were also better equipped to manage a range of later-life health, financial, and social demands. Associations with children's self-control could be separated from their social class origins and intelligence, indicating that self-control might be an active ingredient in healthy aging. Children also shifted naturally in their level of self-control across adult life, suggesting the possibility that self-control may be a malleable target for intervention. Furthermore, individuals' self-control in adulthood was associated with their aging outcomes after accounting for their self-control in childhood, indicating that midlife might offer another window of opportunity to promote healthy aging.
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Affiliation(s)
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27710
- Center for Genomic and Computational Biology, Duke University, Durham, NC 27708
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, United Kingdom
- Promenta Center, University of Oslo, 0315 Oslo, Norway
| | - Antony Ambler
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, United Kingdom
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - Tracy d'Arbeloff
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - Marieke de Bruine
- Department of Developmental Psychology, Tilburg University, 5037 AB Tilburg, The Netherlands
| | - Maxwell Elliott
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - HonaLee Harrington
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - Sean Hogan
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - Renate M Houts
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - Ross Keenan
- New Zealand Brain Research Institute, Christchurch 8011, New Zealand
- Christchurch Radiology Group, Christchurch 8011, New Zealand
| | - Annchen R Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch 8011, New Zealand
- Department of Medicine, University of Otago, Christchurch 8011, New Zealand
| | - Sena Park
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - Line Jee Hartmann Rasmussen
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
- Clinical Research Centre, Copenhagen University Hospital Amager and Hvidovre, 2650 Hvidovre, Denmark
| | - Elizabeth Sack
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - Adam T Schmidt
- Department of Psychological Sciences, Texas Tech University, Lubbock, TX 79410
| | - Maria L Sison
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - Jasmin Wertz
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - Ahmad R Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27710
- Center for Genomic and Computational Biology, Duke University, Durham, NC 27708
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, United Kingdom
- Promenta Center, University of Oslo, 0315 Oslo, Norway
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Wheelock MD, Lean RE, Bora S, Melzer TR, Eggebrecht AT, Smyser CD, Woodward LJ. Functional Connectivity Network Disruption Underlies Domain-Specific Impairments in Attention for Children Born Very Preterm. Cereb Cortex 2021; 31:1383-1394. [PMID: 33067997 PMCID: PMC8179512 DOI: 10.1093/cercor/bhaa303] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 08/19/2020] [Accepted: 09/10/2020] [Indexed: 01/17/2023] Open
Abstract
Attention problems are common in school-age children born very preterm (VPT; < 32 weeks gestational age), but the contribution of aberrant functional brain connectivity to these problems is not known. As part of a prospective longitudinal study, brain functional connectivity (fc) was assessed alongside behavioral measures of selective, sustained, and executive attention in 58 VPT and 65 full-term (FT) born children at corrected-age 12 years. VPT children had poorer sustained, shifting, and divided attention than FT children. Within the VPT group, poorer attention scores were associated with between-network connectivity in ventral attention, visual, and subcortical networks, whereas between-network connectivity in the frontoparietal, cingulo-opercular, dorsal attention, salience and motor networks was associated with attention functioning in FT children. Network-level differences were also evident between VPT and FT children in specific attention domains. Findings contribute to our understanding of fc networks that potentially underlie typical attention development and suggest an alternative network architecture may help support attention in VPT children.
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Affiliation(s)
- M D Wheelock
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - R E Lean
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - S Bora
- Mothers, Babies, and Women’s Health Program, Mater Research Institute, University of Queensland, South Brisbane, Australia
| | - T R Melzer
- Department of Medicine, University of Otago, New Zealand Brain Research Institute, Christchurch 8011, New Zealand
| | - A T Eggebrecht
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - C D Smyser
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - L J Woodward
- School of Health Sciences and Child Wellbeing Research Institute, University of Canterbury, Christchurch 8041, New Zealand
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d'Arbeloff T, Cooke M, Knodt AR, Sison M, Melzer TR, Ireland D, Poulton R, Ramrakha S, Moffitt TE, Caspi A, Hariri AR. Is cardiovascular fitness associated with structural brain integrity in midlife? Evidence from a population-representative birth cohort study. Aging (Albany NY) 2020; 12:20888-20914. [PMID: 33082296 PMCID: PMC7655208 DOI: 10.18632/aging.104112] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 08/09/2020] [Indexed: 12/31/2022]
Abstract
Improving cardiovascular fitness may buffer against age-related cognitive decline and mitigate dementia risk by staving off brain atrophy. However, it is unclear if such effects reflect factors operating in childhood (neuroselection) or adulthood (neuroprotection). Using data from 807 members of the Dunedin Study, a population-representative birth cohort, we investigated associations between cardiovascular fitness and structural brain integrity at age 45, and the extent to which associations reflected possible neuroselection or neuroprotection by controlling for childhood IQ. Higher fitness, as indexed by VO2Max, was not associated with average cortical thickness, total surface area, or subcortical gray matter volume including the hippocampus. However, higher fitness was associated with thicker cortex in prefrontal and temporal regions as well as greater cerebellar gray matter volume. Higher fitness was also associated with decreased hippocampal fissure volume. These associations were unaffected by the inclusion of childhood IQ in analyses. In contrast, a higher rate of decline in cardiovascular fitness from 26 to 45 years was not robustly associated with structural brain integrity. Our findings are consistent with a neuroprotective account of adult cardiovascular fitness but suggest that effects are not uniformly observed across the brain and reflect contemporaneous fitness more so than decline over time.
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Affiliation(s)
- Tracy d'Arbeloff
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
| | - Megan Cooke
- Center for Addiction Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Annchen R Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
| | - Maria Sison
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, NZ
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, NZ
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, NZ
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
- Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, De Crespigny Park, Denmark Hill, London, UK
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27708, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
- Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, De Crespigny Park, Denmark Hill, London, UK
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27708, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA
| | - Ahmad R Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
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28
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Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Ching CRK, McMahon MAB, Shatokhina N, Zsembik LCP, Thomopoulos SI, Zhu AH, Strike LT, Agartz I, Alhusaini S, Almeida MAA, Alnæs D, Amlien IK, Andersson M, Ard T, Armstrong NJ, Ashley-Koch A, Atkins JR, Bernard M, Brouwer RM, Buimer EEL, Bülow R, Bürger C, Cannon DM, Chakravarty M, Chen Q, Cheung JW, Couvy-Duchesne B, Dale AM, Dalvie S, de Araujo TK, de Zubicaray GI, de Zwarte SMC, den Braber A, Doan NT, Dohm K, Ehrlich S, Engelbrecht HR, Erk S, Fan CC, Fedko IO, Foley SF, Ford JM, Fukunaga M, Garrett ME, Ge T, Giddaluru S, Goldman AL, Green MJ, Groenewold NA, Grotegerd D, Gurholt TP, Gutman BA, Hansell NK, Harris MA, Harrison MB, Haswell CC, Hauser M, Herms S, Heslenfeld DJ, Ho NF, Hoehn D, Hoffmann P, Holleran L, Hoogman M, Hottenga JJ, Ikeda M, Janowitz D, Jansen IE, Jia T, Jockwitz C, Kanai R, Karama S, Kasperaviciute D, Kaufmann T, Kelly S, Kikuchi M, Klein M, Knapp M, Knodt AR, Krämer B, Lam M, Lancaster TM, Lee PH, Lett TA, Lewis LB, Lopes-Cendes I, Luciano M, Macciardi F, Marquand AF, Mathias SR, Melzer TR, Milaneschi Y, Mirza-Schreiber N, Moreira JCV, Mühleisen TW, Müller-Myhsok B, Najt P, Nakahara S, Nho K, Loohuis LMO, Orfanos DP, Pearson JF, Pitcher TL, Pütz B, Quidé Y, Ragothaman A, Rashid FM, Reay WR, Redlich R, Reinbold CS, Repple J, Richard G, Riede BC, Risacher SL, Rocha CS, Mota NR, Salminen L, Saremi A, Saykin AJ, Schlag F, Schmaal L, Schofield PR, Secolin R, Shapland CY, Shen L, Shin J, Shumskaya E, Sønderby IE, Sprooten E, Tansey KE, Teumer A, Thalamuthu A, Tordesillas-Gutiérrez D, Turner JA, Uhlmann A, Vallerga CL, van derMeer D, van Donkelaar MMJ, van Eijk L, van Erp TGM, van Haren NEM, van Rooij D, van Tol MJ, Veldink JH, Verhoef E, Walton E, Wang M, Wang Y, Wardlaw JM, Wen W, Westlye LT, Whelan CD, Witt SH, Wittfeld K, Wolf C, Wolfers T, Wu JQ, Yasuda CL, Zaremba D, Zhang Z, Zwiers MP, Artiges E, Assareh AA, Ayesa-Arriola R, Belger A, Brandt CL, Brown GG, Cichon S, Curran JE, Davies GE, Degenhardt F, Dennis MF, Dietsche B, Djurovic S, Doherty CP, Espiritu R, Garijo D, Gil Y, Gowland PA, Green RC, Häusler AN, Heindel W, Ho BC, Hoffmann WU, Holsboer F, Homuth G, Hosten N, Jack CR, Jang M, Jansen A, Kimbrel NA, Kolskår K, Koops S, Krug A, Lim KO, Luykx JJ, Mathalon DH, Mather KA, Mattay VS, Matthews S, Van Son JM, McEwen SC, Melle I, Morris DW, Mueller BA, Nauck M, Nordvik JE, Nöthen MM, O’Leary DS, Opel N, Martinot MLP, Pike GB, Preda A, Quinlan EB, Rasser PE, Ratnakar V, Reppermund S, Steen VM, Tooney PA, Torres FR, Veltman DJ, Voyvodic JT, Whelan R, White T, Yamamori H, Adams HHH, Bis JC, Debette S, Decarli C, Fornage M, Gudnason V, Hofer E, Ikram MA, Launer L, Longstreth WT, Lopez OL, Mazoyer B, Mosley TH, Roshchupkin GV, Satizabal CL, Schmidt R, Seshadri S, Yang Q, Alvim MKM, Ames D, Anderson TJ, Andreassen OA, Arias-Vasquez A, Bastin ME, Baune BT, Beckham JC, Blangero J, Boomsma DI, Brodaty H, Brunner HG, Buckner RL, Buitelaar JK, Bustillo JR, Cahn W, Cairns MJ, Calhoun V, Carr VJ, Caseras X, Caspers S, Cavalleri GL, Cendes F, Corvin A, Crespo-Facorro B, Dalrymple-Alford JC, Dannlowski U, de Geus EJC, Deary IJ, Delanty N, Depondt C, Desrivières S, Donohoe G, Espeseth T, Fernández G, Fisher SE, Flor H, Forstner AJ, Francks C, Franke B, Glahn DC, Gollub RL, Grabe HJ, Gruber O, Håberg AK, Hariri AR, Hartman CA, Hashimoto R, Heinz A, Henskens FA, Hillegers MHJ, Hoekstra PJ, Holmes AJ, Hong LE, Hopkins WD, Pol HEH, Jernigan TL, Jönsson EG, Kahn RS, Kennedy MA, Kircher TTJ, Kochunov P, Kwok JBJ, Le Hellard S, Loughland CM, Martin NG, Martinot JL, McDonald C, McMahon KL, Meyer-Lindenberg A, Michie PT, Morey RA, Mowry B, Nyberg L, Oosterlaan J, Ophoff RA, Pantelis C, Paus T, Pausova Z, Penninx BWJH, Polderman TJC, Posthuma D, Rietschel M, Roffman JL, Rowland LM, Sachdev PS, Sämann PG, Schall U, Schumann G, Scott RJ, Sim K, Sisodiya SM, Smoller JW, Sommer IE, St Pourcain B, Stein DJ, Toga AW, Trollor JN, Van der Wee NJA, van ‘t Ent D, Völzke H, Walter H, Weber B, Weinberger DR, Wright MJ, Zhou J, Stein JL, Thompson PM, Medland SE. The genetic architecture of the human cerebral cortex. Science 2020; 367:eaay6690. [PMID: 32193296 PMCID: PMC7295264 DOI: 10.1126/science.aay6690] [Citation(s) in RCA: 343] [Impact Index Per Article: 85.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 02/10/2020] [Indexed: 12/15/2022]
Abstract
The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.
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Affiliation(s)
- Katrina L. Grasby
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Jodie N. Painter
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Lucía Colodro-Conde
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
- Faculty of Psychology, University of Murcia, Murcia, Spain
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Derrek P. Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Personalized Healthcare, Genentech, Inc., South San Francisco, CA, USA
| | - Penelope A. Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Fabrizio Pizzagalli
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Graduate Interdepartmental Program in Neuroscience, University of California Los Angeles, Los Angeles, CA, USA
| | - Mary Agnes B. McMahon
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Natalia Shatokhina
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Leo C. P. Zsembik
- Department of Genetics and UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Alyssa H. Zhu
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Lachlan T. Strike
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Ingrid Agartz
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Saud Alhusaini
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- Neurology Department, Yale School of Medicine, New Haven, CT, USA
| | - Marcio A. A. Almeida
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Dag Alnæs
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Inge K. Amlien
- Centre for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Micael Andersson
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Tyler Ard
- Laboratory of Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | | | - Allison Ashley-Koch
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Joshua R. Atkins
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
| | - Manon Bernard
- The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Rachel M. Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Elizabeth E. L. Buimer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Robin Bülow
- Institute for Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Christian Bürger
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Dara M. Cannon
- Centre for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Mallar Chakravarty
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Qiang Chen
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Joshua W. Cheung
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Baptiste Couvy-Duchesne
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Anders M. Dale
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Shareefa Dalvie
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Tânia K. de Araujo
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Greig I. de Zubicaray
- Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Sonja M. C. de Zwarte
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Anouk den Braber
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Nhat Trung Doan
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Katharina Dohm
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Hannah-Ruth Engelbrecht
- Division of Human Genetics, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Susanne Erk
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité Universitätsmedizin Berlin corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Chun Chieh Fan
- Department of Cognitive Science, University of California San Diego, San Diego, CA, USA
| | - Iryna O. Fedko
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Sonya F. Foley
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, UK
| | - Judith M. Ford
- San Francisco Veterans Administration Medical Center, San Francisco, CA, USA
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Okazaki, Japan
| | - Melanie E. Garrett
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
| | - Sudheer Giddaluru
- NORMENT K.G. Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | | | - Melissa J. Green
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - Nynke A. Groenewold
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | | | - Tiril P. Gurholt
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Boris A. Gutman
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Narelle K. Hansell
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Mathew A. Harris
- Centre for Clinical Brain Sciences and Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Marc B. Harrison
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Courtney C. Haswell
- Duke UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
- Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham VA Medical Center, Durham, NC, USA
| | - Michael Hauser
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Stefan Herms
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Department of Genomics, Life & Brain Research Center, University of Bonn, Bonn, Germany
| | - Dirk J. Heslenfeld
- Department of Cognitive and Clinical Neuropsychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - New Fei Ho
- Research Division, Institute of Mental Health, Singapore, Singapore
| | - David Hoehn
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Per Hoffmann
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Laurena Holleran
- Centre for Neuroimaging and Cognitive Genomics, School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - Martine Hoogman
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Deborah Janowitz
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Iris E. Jansen
- Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Neurology, Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Tianye Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and BrainInspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Ryota Kanai
- Department of Neuroinformatics, Araya, Inc., Tokyo, Japan
- Sackler Centre for Consciousness Science, School of Psychology, University of Sussex, Falmer, UK
- Earth-Life Science Institute, Tokyo Institute of Technology, Tokyo, Japan
| | - Sherif Karama
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
| | - Dalia Kasperaviciute
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Genomics England, Queen Mary University of London, London, UK
| | - Tobias Kaufmann
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Sinead Kelly
- Public Psychiatry Division, Massachusetts Mental Health Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Marieke Klein
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Michael Knapp
- Department of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Annchen R. Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Bernd Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
- Centre for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Max Lam
- Research Division, Institute of Mental Health, Singapore, Singapore
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Thomas M. Lancaster
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Phil H. Lee
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Tristram A. Lett
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité Universitätsmedizin Berlin corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Lindsay B. Lewis
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
- McGill Centre for Integrative Neuroscience, McGill University, Montreal, QC, Canada
| | - Iscia Lopes-Cendes
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Michelle Luciano
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, School of Medicine University of California, Irvine, Irvine, CA, USA
| | - Andre F. Marquand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
| | - Samuel R. Mathias
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Tracy R. Melzer
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Brain Research New Zealand-Rangahau Roro Aotearoa, Christchurch, New Zealand
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit and GGZ inGeest, Amsterdam, Netherlands
| | - Nazanin Mirza-Schreiber
- Max Planck Institute of Psychiatry, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Jose C. V. Moreira
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
- IC-Institute of Computing, Campinas, Brazil
| | - Thomas W. Mühleisen
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Cécile and Oskar Vogt Institute of Brain Research, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Bertram Müller-Myhsok
- Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Institute of Translational Medicine, Liverpool, UK
| | - Pablo Najt
- Centre for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Soichiro Nakahara
- Department of Psychiatry and Human Behavior, School of Medicine University of California, Irvine, Irvine, CA, USA
- Drug Discovery Research, Astellas Pharmaceuticals, Miyukigaoka, Tsukuba, Ibaraki , Japan
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Loes M. Olde Loohuis
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
| | | | - John F. Pearson
- Biostatistics and Computational Biology Unit, University of Otago, Christchurch, Christchurch, New Zealand
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, Christchurch, New Zealand
| | - Toni L. Pitcher
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Brain Research New Zealand-Rangahau Roro Aotearoa, Christchurch, New Zealand
| | - Benno Pütz
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Yann Quidé
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - Anjanibhargavi Ragothaman
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Faisal M. Rashid
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - William R. Reay
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Céline S. Reinbold
- Centre for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Geneviève Richard
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Brandalyn C. Riede
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Shannon L. Risacher
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Cristiane S. Rocha
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Nina R. Mota
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, Radboud university medical center, Nijmegen, Netherlands
| | - Lauren Salminen
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Arvin Saremi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Fenja Schlag
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence for Youth Mental Health, Melbourne, VIC, Australia
- The Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
- Department of Psychiatry, Vrije Universiteit University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Peter R. Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Rodrigo Secolin
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Chin Yang Shapland
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Li Shen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jean Shin
- The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Population Neuroscience & Developmental Neuroimaging, Bloorview Research Institute, University of Toronto, East York, ON, Canada
| | - Elena Shumskaya
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands
| | - Ida E. Sønderby
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Emma Sprooten
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Katherine E. Tansey
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Diana Tordesillas-Gutiérrez
- Neuroimaging Unit, Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain
- Centro Investigacion Biomedica en Red Salud Mental, Santander, Spain
| | - Jessica A. Turner
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Mind Research Network, Albuquerque, NM, USA
| | - Anne Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Costanza L. Vallerga
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Dennis van derMeer
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | | | - Liza van Eijk
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Theo G. M. van Erp
- Department of Psychiatry and Human Behavior, School of Medicine University of California, Irvine, Irvine, CA, USA
| | - Neeltje E. M. van Haren
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children’s Hospital, Rotterdam, Netherlands
| | - Daan van Rooij
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
| | - Marie-José van Tol
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Jan H. Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Ellen Verhoef
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Esther Walton
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, Bristol, UK
- Department of Psychology, University of Bath, Bath, UK
| | - Mingyuan Wang
- Research Division, Institute of Mental Health, Singapore, Singapore
| | - Yunpeng Wang
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences and Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK
| | - Wei Wen
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Lars T. Westlye
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Christopher D. Whelan
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Stephanie H. Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases Rostock/Greifswald, Greifswald, Germany
| | - Christiane Wolf
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Thomas Wolfers
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
| | - Jing Qin Wu
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
| | - Clarissa L. Yasuda
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
- Department of Neurology, FCM, UNICAMP, Campinas, Brazil
| | - Dario Zaremba
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Zuo Zhang
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Marcel P. Zwiers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands
| | - Eric Artiges
- INSERM ERL Developmental Trajectories and Psychiatry; Université Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, Université de Paris, and CNRS 9010, Centre Borelli, Gif-sur-Yvette, France
| | - Amelia A. Assareh
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Rosa Ayesa-Arriola
- Centro Investigacion Biomedica en Red Salud Mental, Santander, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria–IDIVAL, Santander, Spain
| | - Aysenil Belger
- Duke UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
- Department of Psychiatry and Frank Porter Graham Child Development Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christine L. Brandt
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Gregory G. Brown
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
- VA San Diego Healthcare System, San Diego, CA, USA
| | - Sven Cichon
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Joanne E. Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | | | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Michelle F. Dennis
- Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham VA Medical Center, Durham, NC, USA
| | - Bruno Dietsche
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Colin P. Doherty
- Department of Neurology, St James’s Hospital, Dublin, Ireland
- Academic Unit of Neurology, TBSI, Dublin, Ireland
- Future Neuro, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Ryan Espiritu
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Daniel Garijo
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Yolanda Gil
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Penny A. Gowland
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK
| | - Robert C. Green
- Brigham and Women’s Hospital, Boston, MA, USA
- The Broad Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Alexander N. Häusler
- Center for Economics and Neuroscience, University of Bonn, Bonn, Germany
- Institute of Experimental Epileptology and Cognition Research, University Hospital Bonn, Germany
| | - Walter Heindel
- Department of Clinical Radiology, University of Münster, Münster, Germany
| | - Beng-Choon Ho
- Department of Psychiatry, University of Iowa College of Medicine, Iowa City, IA, USA
| | - Wolfgang U. Hoffmann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases Rostock/Greifswald, Greifswald, Germany
| | - Florian Holsboer
- Max Planck Institute of Psychiatry, Munich, Germany
- HMNC Holding GmbH, Munich, Germany
| | - Georg Homuth
- University Medicine Greifswald, Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, Greifswald, Germany
| | - Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | | | - MiHyun Jang
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
- Core-Unit Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany
| | - Nathan A. Kimbrel
- Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham VA Medical Center, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Knut Kolskår
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Sanne Koops
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Kelvin O. Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Jurjen J. Luykx
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- GGNet Mental Health, Apeldoorn, Netherlands
| | - Daniel H. Mathalon
- Department of Psychiatry and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
- Mental Health Service 116d, Veterans Affairs San Francisco Healthcare System, San Francisco, CA, USA
| | - Karen A. Mather
- Neuroscience Research Australia, Sydney, NSW, Australia
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Venkata S. Mattay
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
- Department of Radiology, Johns Hopkins University, Baltimore, MD, USA
| | - Sarah Matthews
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Jaqueline Mayoral Van Son
- Centro Investigacion Biomedica en Red Salud Mental, Santander, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria–IDIVAL, Santander, Spain
| | - Sarah C. McEwen
- Pacific Brain Health Center, Santa Monica, CA, USA
- John Wayne Cancer Institute, Santa Monica, CA, USA
| | - Ingrid Melle
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Derek W. Morris
- Centre for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Bryon A. Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | | | - Markus M. Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Daniel S. O’Leary
- Department of Psychiatry, University of Iowa College of Medicine, Iowa City, IA, USA
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Marie-Laure Paillère Martinot
- INSERM ERL Developmental Trajectories and Psychiatry; Université Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, Université de Paris, and CNRS 9010, Centre Borelli, Gif-sur-Yvette, France
- APHP.Sorbonne Université, Child and Adolescent Psychiatry Department, Pitié Salpêtrière Hospital, Paris, France
| | - G. Bruce Pike
- Radiology and Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Adrian Preda
- School of Medicine, University of California Irvine, Irvine, CA, USA
| | - Erin B. Quinlan
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Paul E. Rasser
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Priority Centre for Stroke and Brain Injury, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Varun Ratnakar
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Simone Reppermund
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Department of Developmental Disability Neuropsychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Vidar M. Steen
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Paul A. Tooney
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Fábio R. Torres
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Dick J. Veltman
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit and GGZ inGeest, Amsterdam, Netherlands
| | - James T. Voyvodic
- Duke UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
| | - Robert Whelan
- School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - Tonya White
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children’s Hospital, Rotterdam, Netherlands
- Department of Radiology, Erasmus University Medical Centre, Rotterdam, Netherlands
| | - Hidenaga Yamamori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan
| | - Hieab H. H. Adams
- Department of Epidemiology, Erasmus MC Medical Center, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC Medical Center, Rotterdam, Netherlands
- Department of Clinical Genetics, Erasmus MC Medical Center, Rotterdam, Netherlands
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Stephanie Debette
- INSERM, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, University of Bordeaux, Bordeaux, France
- Department of Neurology, CHU de Bordeaux, Bordeaux, France
| | - Charles Decarli
- Department of Neurology, University of California, Davis, Sacramento, CA, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MC Medical Center, Rotterdam, Netherlands
| | - Lenore Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - W. T. Longstreth
- Departments of Neurology and Epidemiology, University of Washington, Seattle, WA, USA
| | - Oscar L. Lopez
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Bernard Mazoyer
- Neurodegenerative Diseases Institute UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France
| | - Thomas H. Mosley
- MIND Center, University of Mississippi Medical Center, Jackson, MS, USA
| | - Gennady V. Roshchupkin
- Department of Epidemiology, Erasmus MC Medical Center, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC Medical Center, Rotterdam, Netherlands
- Medical Informatics, Erasmus MC Medical Center, Rotterdam, Netherlands
| | - Claudia L. Satizabal
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
- Department of Epidemiology & Biostatistics, University of Texas Health Sciences Center, San Antonio, TX, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Framingham Heart Study and Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | | | | | | | | | | | | | - Marina K. M. Alvim
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
- Department of Neurology, FCM, UNICAMP, Campinas, Brazil
| | - David Ames
- Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne, VIC, Australia
- National Ageing Research Institute, Melbourne, VIC, Australia
| | - Tim J. Anderson
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Brain Research New Zealand-Rangahau Roro Aotearoa, Christchurch, New Zealand
- Department of Neurology, Canterbury District Health Board, Christchurch, New Zealand
| | - Ole A. Andreassen
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alejandro Arias-Vasquez
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, Radboud university medical center, Nijmegen, Netherlands
| | - Mark E. Bastin
- Centre for Clinical Brain Sciences and Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Bernhard T. Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Jean C. Beckham
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- VA Mid-Atlantic Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham, VA Healthcare System, Durham, NC, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Dorret I. Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Dementia Centre for Research Collaboration, University of New South Wales, Sydney, NSW, Australia
| | - Han G. Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Clinical Genetics and School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, Maastricht, Netherlands
| | - Randy L. Buckner
- Department of Psychology and Center for Brain Science, Harvard University, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jan K. Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, Netherlands
| | - Juan R. Bustillo
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | - Wiepke Cahn
- Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Murray J. Cairns
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- Schizophrenia Research Institute, Randwick, NSW, Australia
| | - Vince Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Vaughan J. Carr
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
- Department of Psychiatry, Monash University, Clayton, VIC, Australia
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany
- Institute for Anatomy I, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Gianpiero L. Cavalleri
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- The SFI FutureNeuro Research Centre, Dublin, Ireland
| | - Fernando Cendes
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
- Department of Neurology, FCM, UNICAMP, Campinas, Brazil
| | - Aiden Corvin
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - Benedicto Crespo-Facorro
- Centro Investigacion Biomedica en Red Salud Mental, Santander, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria–IDIVAL, Santander, Spain
- Hospital Universitario Virgen Del Rocio, IBiS, Universidad De Sevilla, Sevilla, Spain
| | - John C. Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Brain Research New Zealand-Rangahau Roro Aotearoa, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Eco J. C. de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Ian J. Deary
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Norman Delanty
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- Future Neuro, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Chantal Depondt
- Department of Neurology, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Gary Donohoe
- Centre for Neuroimaging and Cognitive Genomics, School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - Thomas Espeseth
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Guillén Fernández
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
| | - Simon E. Fisher
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Andreas J. Forstner
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Centre for Human Genetics, University of Marburg, Marburg, Germany
| | - Clyde Francks
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, Radboud university medical center, Nijmegen, Netherlands
| | - David C. Glahn
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
- Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children’s Hospital and Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Randy L. Gollub
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases Rostock/Greifswald, Greifswald, Germany
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - Asta K. Håberg
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs University Hospital, Trondheim, Norway
| | - Ahmad R. Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Catharina A. Hartman
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Groningen, Netherlands
| | - Ryota Hashimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan
- Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Osaka University, Suita, Japan
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Frans A. Henskens
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Health Behaviour Research Group, University of Newcastle, Callaghan, NSW, Australia
| | - Manon H. J. Hillegers
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children’s Hospital, Rotterdam, Netherlands
- Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Pieter J. Hoekstra
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Avram J. Holmes
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychology, Yale University, New Haven, CT, USA
| | - L. Elliot Hong
- Maryland Psychiatry Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - William D. Hopkins
- Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA
| | - Hilleke E. Hulshoff Pol
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Terry L. Jernigan
- Department of Radiology, University of California San Diego, San Diego, CA, USA
- Department of Cognitive Science, University of California San Diego, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
- Center for Human Development, University of California San Diego, La Jolla, CA, USA
| | - Erik G. Jönsson
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - René S. Kahn
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Martin A. Kennedy
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, Christchurch, New Zealand
| | - Tilo T. J. Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Peter Kochunov
- Maryland Psychiatry Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - John B. J. Kwok
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neurogenetics and Epigenetics, Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Stephanie Le Hellard
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Carmel M. Loughland
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Mental Health Service, Newcastle, NSW, Australia
| | - Nicholas G. Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jean-Luc Martinot
- INSERM ERL Developmental Trajectories and Psychiatry; Université Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, Université de Paris, and CNRS 9010, Centre Borelli, Gif-sur-Yvette, France
| | - Colm McDonald
- Centre for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Katie L. McMahon
- Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
- Herston Imaging Research Facility, School of Clinical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Patricia T. Michie
- School of Psychology, University of Newcastle, Callaghan, NSW, Australia
| | - Rajendra A. Morey
- Duke UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
- Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham VA Medical Center, Durham, NC, USA
| | - Bryan Mowry
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
- Queensland Centre for Mental Health Research, University of Queensland, Brisbane, QLD, Australia
| | - Lars Nyberg
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Jaap Oosterlaan
- Emma Children’s Hospital Academic Medical Center, Amsterdam, Netherlands
- Department of Pediatrics, Vrije Universiteit Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Clinical Neuropsychology section, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Roel A. Ophoff
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
| | - Christos Pantelis
- Department of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
- NorthWestern Mental Health, Sunshine Hospital, St Albans, VIC, Australia
| | - Tomas Paus
- Bloorview Research Institute, University of Toronto, Toronto, ON, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
- Centre for Developing Brain, Child Mind Institute, New York, NY, USA
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON, Canada
| | - Brenda W. J. H. Penninx
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit and GGZ inGeest, Amsterdam, Netherlands
| | - Tinca J. C. Polderman
- Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Danielle Posthuma
- Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Clinical Genetics, Vrije Universiteit Medical Centre, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Joshua L. Roffman
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Laura M. Rowland
- Maryland Psychiatry Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, NSW, Australia
| | | | - Ulrich Schall
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Gunter Schumann
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- PONS Research Group, Department of Psychiatry and Psychotherapie, Charité Campus Mitte, Humboldt University Berlin, Berlin, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Rodney J. Scott
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Division of Molecular Medicine, John Hunter Hospital, New Lambton Heights, NSW, Australia
| | - Kang Sim
- General Psychiatry, Institute of Mental Health, Singapore, Singapore
| | - Sanjay M. Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, ChalfontSt-Peter, UK
| | - Jordan W. Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Boston, MA, USA
| | - Iris E. Sommer
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Department of Medical and Biological Psychology, University of Bergen, Bergen, Norway
| | - Beate St Pourcain
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Dan J. Stein
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- SAMRC Unit on Risk & Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Arthur W. Toga
- Laboratory of Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Julian N. Trollor
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Department of Developmental Disability Neuropsychiatry, University of New South Wales, Sydney, NSW, Australia
| | | | - Dennis van ‘t Ent
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Henrik Walter
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité Universitätsmedizin Berlin corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Bernd Weber
- Center for Economics and Neuroscience, University of Bonn, Bonn, Germany
- Institute of Experimental Epileptology and Cognition Research, University Hospital Bonn, Germany
| | - Daniel R. Weinberger
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Psychiatry, Neurology, Neuroscience, Genetics, Johns Hopkins University, Baltimore, MD, USA
| | - Margaret J. Wright
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - Juan Zhou
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jason L. Stein
- Department of Genetics and UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Sarah E. Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
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Carlisi CO, Moffitt TE, Knodt AR, Harrington H, Ireland D, Melzer TR, Poulton R, Ramrakha S, Caspi A, Hariri AR, Viding E. Associations between life-course-persistent antisocial behaviour and brain structure in a population-representative longitudinal birth cohort. Lancet Psychiatry 2020; 7:245-253. [PMID: 32078822 PMCID: PMC7033555 DOI: 10.1016/s2215-0366(20)30002-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 01/02/2020] [Accepted: 01/03/2020] [Indexed: 12/29/2022]
Abstract
BACKGROUND Studies with behavioural and neuropsychological tests have supported the developmental taxonomy theory of antisocial behaviour, which specifies abnormal brain development as a fundamental aspect of life-course-persistent antisocial behaviour, but no study has characterised features of brain structure associated with life-course-persistent versus adolescence-limited trajectories, as defined by prospective data. We aimed to determine whether life-course-persistent antisocial behaviour is associated with neurocognitive abnormalities by testing the hypothesis that it is also associated with brain structure abnormalities. METHODS We used structural MRI data collected at 45 years of age from participants in the Dunedin Study, a population-representative longitudinal birth cohort of 1037 individuals born between April 1, 1972, and March 31, 1973, in Dunedin, New Zealand, who were resident in the province and who participated in the first assessment at 3 years of age. Participants underwent MRI, and mean global cortical surface area and cortical thickness were extracted for each participant. Participants had been previously subtyped as exhibiting life-course-persistent, adolescence-limited, or no history of persistent antisocial behaviour (ie, a low trajectory group) based on informant-reported and self-reported conduct problems from the ages of 7 years to 26 years. Study personnel who processed the MRI images were masked to antisocial group membership. We used linear estimated ordinary least squares regressions to compare each antisocial trajectory group (life-course persistent and adolescence limited) with the low trajectory group to examine whether antisocial behaviour was related to abnormalities in mean global surface area and mean cortical thickness. Next, we used parcel-wise linear regressions to identify antisocial trajectory group differences in surface area and cortical thickness. All results were controlled for sex and false discovery rate corrected. FINDINGS Data from 672 participants were analysed, and 80 (12%) were classified as having life-course-persistent antisocial behaviour, 151 (23%) as having adolescence-limited antisocial behaviour, and 441 (66%) as having low antisocial behaviour. Individuals on the life-course-persistent trajectory had a smaller mean surface area (standardised β=-0·18 [95% CI -0·24 to -0·11]; p<0·0001) and lower mean cortical thickness (standardised β=-0·10 [95% CI -0·19 to -0·02]; p=0·020) than did those in the low group. Compared with the low group, the life-course-persistent group had reduced surface area in 282 of 360 anatomically defined parcels and thinner cortex in 11 of 360 parcels encompassing circumscribed frontal and temporal regions associated with executive function, affect regulation, and motivation. Widespread differences in brain surface morphometry were not observed for the adolescence-limited group compared with either non-antisocial behaviour or life-course-persistent groups. INTERPRETATION These analyses provide initial evidence that differences in brain surface morphometry are associated with life-course-persistent, but not adolescence-limited, antisocial behaviour. As such, the analyses are consistent with the developmental taxonomy theory of antisocial behaviour and highlight the importance of using prospective longitudinal data to define different patterns of antisocial behaviour development. FUNDING US National Institute on Aging, Health Research Council of New Zealand, New Zealand Ministry of Business, Innovation and Employment, UK Medical Research Council, Avielle Foundation, and Wellcome Trust.
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Affiliation(s)
- Christina O Carlisi
- Division of Psychology and Language Sciences, University College London, London, UK.
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Center for Genomic and Computational Biology, Duke University, Durham, NC, USA; Laboratory of NeuroGenetics, Duke University, Durham, NC, USA; Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Annchen R Knodt
- Laboratory of NeuroGenetics, Duke University, Durham, NC, USA
| | - Honalee Harrington
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Tracy R Melzer
- Department of Medicine, University of Otago, Dunedin, New Zealand; New Zealand Brain Research Institute, Christchurch, New Zealand; Brain Research New Zealand-Rangahau Roro Aotearo Centre of Research Excellence, Dunedin, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Center for Genomic and Computational Biology, Duke University, Durham, NC, USA; Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Ahmad R Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA; Laboratory of NeuroGenetics, Duke University, Durham, NC, USA
| | - Essi Viding
- Division of Psychology and Language Sciences, University College London, London, UK
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Melzer TR, Keenan RJ, Leeper GJ, Kingston-Smith S, Felton SA, Green SK, Henderson KJ, Palmer NJ, Shoorangiz R, Almuqbel MM, Myall DJ. Test-retest reliability and sample size estimates after MRI scanner relocation. Neuroimage 2020; 211:116608. [PMID: 32032737 DOI: 10.1016/j.neuroimage.2020.116608] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 01/30/2020] [Accepted: 02/03/2020] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE Many factors can contribute to the reliability and robustness of MRI-derived metrics. In this study, we assessed the reliability and reproducibility of three MRI modalities after an MRI scanner was relocated to a new hospital facility. METHODS Twenty healthy volunteers (12 females, mean age (standard deviation) = 41 (11) years, age range [25-66]) completed three MRI sessions. The first session (S1) was one week prior to the 3T GE HDxt scanner relocation. The second (S2) occurred nine weeks after S1 and at the new location; a third session (S3) was acquired 4 weeks after S2. At each session, we acquired structural T1-weighted, pseudo-continuous arterial spin labelled, and diffusion tensor imaging sequences. We used longitudinal processing streams to create 12 summary MRI metrics, including total gray matter (GM), cortical GM, subcortical GM, white matter (WM), and lateral ventricle volume; mean cortical thickness; total surface area; average gray matter perfusion, and average diffusion tensor metrics along principal white matter pathways. We compared mean MRI values and variance at the old scanner location to multiple sessions at the new location using Bayesian multi-level regression models. K-fold cross validation allowed identification of important predictors. Whole-brain analyses were used to investigate any regional differences. Furthermore, we calculated within-subject coefficient of variation (wsCV), intraclass correlation coefficient (ICC), and dice similarity index (SI) of cortical segmentations across scanner relocation and within-site. Additionally, we estimated sample sizes required to robustly detect a 4% difference between two groups across MRI metrics. RESULTS All global MRI metrics exhibited little mean difference and small variability (bar cortical gray matter perfusion) both across scanner relocation and within-site repeat. T1- and DTI-derived tissue metrics showed < |0.3|% mean difference and <1.2% variance across scanner location and <|0.4|% mean difference and <0.8% variance within the new location, with between-site intraclass correlation coefficient (ICC) > 0.80 and within-subject coefficient of variation (wsCV) < 1.4%. Mean cortical gray matter perfusion had the highest between-session variability (6.7% [0.3, 16.7], estimate [95% uncertainty interval]), and hence the smallest ICC (0.71 [0.44,0.92]) and largest wsCV (13.4% [5.4, 18.1]). No global metric exhibited evidence of a meaningful mean difference between scanner locations. However, surface area showed evidence of a mean difference within-site repeat (between S2 and S3). Whole-brain analyses revealed no significant areas of difference between scanner relocation or within-site. For all metrics, we found no support for a systematic difference in variance across relocation sites compared to within-site test-retest reliability. Necessary sample sizes to detect a 4% difference between two independent groups varied from a maximum of n = 362 per group (cortical gray matter perfusion), to total gray matter volume (n = 114), average fractional anisotropy (n = 23), total gray matter volume normalized by intracranial volume (n = 19), and axial diffusivity (n = 3 per group). CONCLUSION Cortical gray matter perfusion was the most variable metric investigated (necessitating large sample sizes to identify group differences), with other metrics showing substantially less variability. Scanner relocation appeared to have a negligible effect on variability of the global MRI metrics tested. This manuscript reports within-site test-retest variability to act as a tool for calculating sample size in future investigations. Our results suggest that when all other parameters are held constant (e.g., sequence parameters and MRI processing), the effect of scanner relocation is indistinguishable from within-site variability, but may need to be considered depending on the question being investigated.
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Affiliation(s)
- Tracy R Melzer
- Department of Medicine, University of Otago, Christchurch, New Zealand; New Zealand Brain Research Institute, Christchurch, New Zealand; Brain Research New Zealand - Rangahau Roro Aotearoa Centre of Research Excellence, New Zealand.
| | - Ross J Keenan
- New Zealand Brain Research Institute, Christchurch, New Zealand; Department of Radiology, Christchurch Hospital, Christchurch, New Zealand; Pacific Radiology Group, Christchurch, New Zealand.
| | | | | | | | | | | | | | - Reza Shoorangiz
- New Zealand Brain Research Institute, Christchurch, New Zealand; Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand.
| | - Mustafa M Almuqbel
- Department of Medicine, University of Otago, Christchurch, New Zealand; New Zealand Brain Research Institute, Christchurch, New Zealand; Pacific Radiology Group, Christchurch, New Zealand.
| | - Daniel J Myall
- New Zealand Brain Research Institute, Christchurch, New Zealand.
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d'Arbeloff T, Elliott ML, Knodt AR, Melzer TR, Keenan R, Ireland D, Ramrakha S, Poulton R, Anderson T, Caspi A, Moffitt TE, Hariri AR. White matter hyperintensities are common in midlife and already associated with cognitive decline. Brain Commun 2019; 1:fcz041. [PMID: 31894208 PMCID: PMC6928390 DOI: 10.1093/braincomms/fcz041] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 09/25/2019] [Accepted: 10/23/2019] [Indexed: 01/04/2023] Open
Abstract
White matter hyperintensities proliferate as the brain ages and are associated with increased risk for cognitive decline as well as Alzheimer’s disease and related dementias. As such, white matter hyperintensities have been targeted as a surrogate biomarker in intervention trials with older adults. However, it is unclear at what stage of aging white matter hyperintensities begin to relate to cognition and if they may be a viable target for early prevention. In the Dunedin Study, a population-representative cohort followed since birth, we measured white matter hyperintensities in 843 45-year-old participants using T2-weighted magnetic resonance imaging and we assessed cognitive decline from childhood to midlife. We found that white matter hyperintensities were common at age 45 and that white matter hyperintensity volume was modestly associated with both lower childhood (ß = −0.08, P = 0.013) and adult IQ (ß=−0.15, P < 0.001). Moreover, white matter hyperintensity volume was associated with greater cognitive decline from childhood to midlife (ß=−0.09, P < 0.001). Our results demonstrate that a link between white matter hyperintensities and early signs of cognitive decline is detectable decades before clinical symptoms of dementia emerge. Thus, white matter hyperintensities may be a useful surrogate biomarker for identifying individuals in midlife at risk for future accelerated cognitive decline and selecting participants for dementia prevention trials.
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Affiliation(s)
- Tracy d'Arbeloff
- Department of Psychology & Neuroscience, Duke University, Durham, NC 27708, USA
| | - Maxwell L Elliott
- Department of Psychology & Neuroscience, Duke University, Durham, NC 27708, USA
| | - Annchen R Knodt
- Department of Psychology & Neuroscience, Duke University, Durham, NC 27708, USA
| | - Tracy R Melzer
- New Zealand Brain Research Institute, 66 Stewart Street, Christchurch 8011, New Zealand.,Department of Medicine, University of Otago, 2 Riccarton Avenue, Christchurch 8011, New Zealand
| | - Ross Keenan
- New Zealand Brain Research Institute, 66 Stewart Street, Christchurch 8011, New Zealand.,Christchurch Radiology Group, 6/242 Ferry Road, Waltham, Christchurch 8011, New Zealand
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - Tim Anderson
- New Zealand Brain Research Institute, 66 Stewart Street, Christchurch 8011, New Zealand.,Department of Medicine, University of Otago, 2 Riccarton Avenue, Christchurch 8011, New Zealand
| | - Avshalom Caspi
- Department of Psychology & Neuroscience, Duke University, Durham, NC 27708, USA.,Social, Genetic, & Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London SE5 8AF, UK.,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27708, USA.,Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA
| | - Terrie E Moffitt
- Department of Psychology & Neuroscience, Duke University, Durham, NC 27708, USA.,Social, Genetic, & Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London SE5 8AF, UK.,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27708, USA.,Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA
| | - Ahmad R Hariri
- Department of Psychology & Neuroscience, Duke University, Durham, NC 27708, USA
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32
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Douglas KM, Groves S, Porter RJ, Jordan J, Wilson L, Melzer TR, Wise RG, Bisson JI, Bell CJ. Traumatic imagery following glucocorticoid administration in earthquake-related post-traumatic stress disorder: A preliminary functional magnetic resonance imaging study. Aust N Z J Psychiatry 2019; 53:1167-1178. [PMID: 31146540 DOI: 10.1177/0004867419851860] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Post-traumatic stress disorder involves excessive retrieval of traumatic memories. Glucocorticoids impair declarative memory retrieval. This preliminary study examined the effect of acute hydrocortisone administration on brain activation in individuals with earthquake-related post-traumatic stress disorder compared with earthquake-exposed healthy individuals, during retrieval of traumatic memories. METHOD Participants exposed to earthquakes with (n = 11) and without post-traumatic stress disorder (n = 11) underwent two functional magnetic resonance imaging scans, 1-week apart, in a double-blind, placebo-controlled, counter-balanced design. On one occasion, they received oral hydrocortisone (20 mg), and on the other, placebo, 1 hour before scanning. Symptom provocation involved script-driven imagery (traumatic and neutral scripts) and measures of self-reported anxiety. RESULTS Arterial spin labelling showed that both post-traumatic stress disorder and trauma-exposed controls had significantly reduced cerebral blood flow in response to retrieval of traumatic versus neutral memories in the right hippocampus, parahippocampal gyrus, calcarine sulcus, middle and superior temporal gyrus, posterior cingulate, Heschl's gyrus, inferior parietal lobule, angular gyrus, middle occipital gyrus, supramarginal gyrus, lingual gyrus and cuneus, and the left prefrontal cortex. Hydrocortisone resulted in non-significant trends of increasing subjective distress and reduced regional cerebral blood flow in the left inferior frontal gyrus, left anterior cingulate gyrus, middle temporal gyrus, cerebellum, postcentral gyrus and right frontal pole, during the trauma script. CONCLUSION Findings do not fit with some aspects of the accepted neurocircuitry model of post-traumatic stress disorder, i.e., failure of the medial prefrontal cortex to quieten hyperresponsive amygdala activity, and the potential therapeutic benefits of hydrocortisone. They do, however, provide further evidence that exposure to earthquake trauma, regardless of whether post-traumatic stress disorder eventuates, impacts brain activity and highlights the importance of inclusion of trauma-exposed comparisons in studies of post-traumatic stress disorder.
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Affiliation(s)
- Katie M Douglas
- Department of Psychological Medicine, University of Otago, Christchurch, Christchurch, New Zealand
| | - Samantha Groves
- Department of Psychological Medicine, University of Otago, Christchurch, Christchurch, New Zealand.,New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
| | - Richard J Porter
- Department of Psychological Medicine, University of Otago, Christchurch, Christchurch, New Zealand
| | - Jenny Jordan
- Department of Psychological Medicine, University of Otago, Christchurch, Christchurch, New Zealand
| | - Lynere Wilson
- Department of Psychological Medicine, University of Otago, Christchurch, Christchurch, New Zealand
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
| | - Richard G Wise
- Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff
| | | | - Caroline J Bell
- Department of Psychological Medicine, University of Otago, Christchurch, Christchurch, New Zealand
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33
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Ella A, Barrière DA, Adriaensen H, Palmer DN, Melzer TR, Mitchell NL, Keller M. The development of brain magnetic resonance approaches in large animal models for preclinical research. Anim Front 2019; 9:44-51. [PMID: 32002261 PMCID: PMC6951960 DOI: 10.1093/af/vfz024] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Affiliation(s)
- Arsène Ella
- Physiologie de la Reproduction & des Comportements, INRA/CNRS/Université de Tours, France.,MRC Cognition and Brain Science Unit, University of Cambridge, UK
| | - David A Barrière
- Physiologie de la Reproduction & des Comportements, INRA/CNRS/Université de Tours, France.,Neurospin, CEA, France
| | - Hans Adriaensen
- Physiologie de la Reproduction & des Comportements, INRA/CNRS/Université de Tours, France
| | - David N Palmer
- Faculty of Agriculture and Life Sciences, Lincoln University, New Zealand
| | - Tracy R Melzer
- Department of Medicine, University of Otago, Christchurch, and New Zealand Brain Research Institute, New Zealand
| | - Nadia L Mitchell
- Faculty of Agriculture and Life Sciences, Lincoln University, New Zealand.,Department of Radiology, University of Otago, Christchurch, New Zealand
| | - Matthieu Keller
- Physiologie de la Reproduction & des Comportements, INRA/CNRS/Université de Tours, France
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34
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Melzer TR, Stark MR, Keenan RJ, Myall DJ, MacAskill MR, Pitcher TL, Livingston L, Grenfell S, Horne KL, Young BN, Pascoe MJ, Almuqbel MM, Wang J, Marsh SH, Miller DH, Dalrymple-Alford JC, Anderson TJ. Beta Amyloid Deposition Is Not Associated With Cognitive Impairment in Parkinson's Disease. Front Neurol 2019; 10:391. [PMID: 31105633 PMCID: PMC6492461 DOI: 10.3389/fneur.2019.00391] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 04/01/2019] [Indexed: 12/20/2022] Open
Abstract
The extent to which Alzheimer neuropathology, particularly the accumulation of misfolded beta-amyloid, contributes to cognitive decline and dementia in Parkinson's disease (PD) is unresolved. Here, we used Florbetaben PET imaging to test for any association between cerebral amyloid deposition and cognitive impairment in PD, in a sample enriched for cases with mild cognitive impairment. This cross-sectional study used Movement Disorders Society level II criteria to classify 115 participants with PD as having normal cognition (PDN, n = 23), mild cognitive impairment (PD-MCI, n = 76), or dementia (PDD, n = 16). We acquired 18F-Florbetaben (FBB) amyloid PET and structural MRI. Amyloid deposition was assessed between the three cognitive groups, and also across the whole sample using continuous measures of both global cognitive status and average performance in memory domain tests. Outcomes were cortical FBB uptake, expressed in centiloids and as standardized uptake value ratios (SUVR) using the Centiloid Project whole cerebellum region as a reference, and regional SUVR measurements. FBB binding was higher in PDD, but this difference did not survive adjustment for the older age of the PDD group. We established a suitable centiloid cut-off for amyloid positivity in Parkinson's disease (31.3), but there was no association of FBB binding with global cognitive or memory scores. The failure to find an association between PET amyloid deposition and cognitive impairment in a moderately large sample, particularly given that it was enriched with PD-MCI patients at risk of dementia, suggests that amyloid pathology is not the primary driver of cognitive impairment and dementia in most patients with PD.
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Affiliation(s)
- Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence, Christchurch, New Zealand
| | - Megan R Stark
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Ross J Keenan
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Pacific Radiology Group, Christchurch, New Zealand
| | - Daniel J Myall
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Michael R MacAskill
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Toni L Pitcher
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence, Christchurch, New Zealand
| | - Leslie Livingston
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Sophie Grenfell
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Kyla-Louise Horne
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Bob N Young
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Maddie J Pascoe
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Mustafa M Almuqbel
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Pacific Radiology Group, Christchurch, New Zealand
| | - Jian Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Steven H Marsh
- Department of Physics and Astronomy, University of Canterbury, Christchurch, New Zealand
| | - David H Miller
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Institute of Neurology, University College London, London, United Kingdom
| | - John C Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence, Christchurch, New Zealand.,Department of Psychology, University of Canterbury, Christchurch, New Zealand
| | - Tim J Anderson
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence, Christchurch, New Zealand.,Department of Neurology, Christchurch Hospital, Christchurch, New Zealand
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35
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Elliott ML, Knodt AR, Cooke M, Kim MJ, Melzer TR, Keenan R, Ireland D, Ramrakha S, Poulton R, Caspi A, Moffitt TE, Hariri AR. General functional connectivity: Shared features of resting-state and task fMRI drive reliable and heritable individual differences in functional brain networks. Neuroimage 2019; 189:516-532. [PMID: 30708106 PMCID: PMC6462481 DOI: 10.1016/j.neuroimage.2019.01.068] [Citation(s) in RCA: 142] [Impact Index Per Article: 28.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 01/22/2019] [Accepted: 01/27/2019] [Indexed: 01/15/2023] Open
Abstract
Intrinsic connectivity, measured using resting-state fMRI, has emerged as a fundamental tool in the study of the human brain. However, due to practical limitations, many studies do not collect enough resting-state data to generate reliable measures of intrinsic connectivity necessary for studying individual differences. Here we present general functional connectivity (GFC) as a method for leveraging shared features across resting-state and task fMRI and demonstrate in the Human Connectome Project and the Dunedin Study that GFC offers better test-retest reliability than intrinsic connectivity estimated from the same amount of resting-state data alone. Furthermore, at equivalent scan lengths, GFC displayed higher estimates of heritability than resting-state functional connectivity. We also found that predictions of cognitive ability from GFC generalized across datasets, performing as well or better than resting-state or task data alone. Collectively, our work suggests that GFC can improve the reliability of intrinsic connectivity estimates in existing datasets and, subsequently, the opportunity to identify meaningful correlates of individual differences in behavior. Given that task and resting-state data are often collected together, many researchers can immediately derive more reliable measures of intrinsic connectivity through the adoption of GFC rather than solely using resting-state data. Moreover, by better capturing heritable variation in intrinsic connectivity, GFC represents a novel endophenotype with broad applications in clinical neuroscience and biomarker discovery.
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Affiliation(s)
- Maxwell L Elliott
- Department of Psychology & Neuroscience, Duke University, Box 104410, Durham, NC, 27708, USA.
| | - Annchen R Knodt
- Department of Psychology & Neuroscience, Duke University, Box 104410, Durham, NC, 27708, USA
| | - Megan Cooke
- Department of Psychology & Neuroscience, Duke University, Box 104410, Durham, NC, 27708, USA
| | - M Justin Kim
- Department of Psychology, University of Hawaii at Manoa, Honolulu, HI, 96822, USA
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand; Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Ross Keenan
- New Zealand Brain Research Institute, Christchurch, New Zealand; Christchurch Radiology Group, Christchurch, New Zealand
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, 163 Union St E, Dunedin, 9016, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, 163 Union St E, Dunedin, 9016, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, 163 Union St E, Dunedin, 9016, New Zealand
| | - Avshalom Caspi
- Department of Psychology & Neuroscience, Duke University, Box 104410, Durham, NC, 27708, USA; Social, Genetic, & Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK; Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC, 27708, USA; Center for Genomic and Computational Biology, Duke University, Box 90338, Durham, NC, 27708, USA
| | - Terrie E Moffitt
- Department of Psychology & Neuroscience, Duke University, Box 104410, Durham, NC, 27708, USA; Social, Genetic, & Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK; Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC, 27708, USA; Center for Genomic and Computational Biology, Duke University, Box 90338, Durham, NC, 27708, USA
| | - Ahmad R Hariri
- Department of Psychology & Neuroscience, Duke University, Box 104410, Durham, NC, 27708, USA
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36
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Pascoe MJ, Melzer TR, Horwood LJ, Woodward LJ, Darlow BA. Altered grey matter volume, perfusion and white matter integrity in very low birthweight adults. Neuroimage Clin 2019; 22:101780. [PMID: 30925384 PMCID: PMC6438988 DOI: 10.1016/j.nicl.2019.101780] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 03/11/2019] [Accepted: 03/14/2019] [Indexed: 11/26/2022]
Abstract
This study examined the long-term effects of being born very-low-birth-weight (VLBW, <1500 g) on adult cerebral structural development using a multi-method neuroimaging approach. The New Zealand VLBW study cohort comprised 413 individuals born VLBW in 1986. Of the 338 who survived to discharge, 229 were assessed at age 27–29 years. Of these, 150 had a 3 T MRI scan alongside 50 healthy term-born controls. The VLBW group included 53/57 participants born <28 weeks gestation. MRI analyses included: a) structural MRI to assess grey matter (GM) volume and cortical thickness; b) arterial spin labelling (ASL) to quantify GM perfusion; and c) diffusion tensor imaging (DTI) to measure white matter (WM) integrity. Compared to controls, VLBW adults had smaller GM volumes within frontal, temporal, parietal and occipital cortices, bilateral cingulate gyri and left caudate, as well as greater GM volumes in frontal, temporal and occipital areas. Thinner cortex was observed within frontal, temporal and parietal cortices. VLBW adults also had less GM perfusion within limited temporal areas, bilateral hippocampi and thalami. Finally, lower fractional anisotropy (FA) and axial diffusivity (AD) within principal WM tracts was observed in VLBW subjects. Within the VLBW group, birthweight was positively correlated with GM volume and perfusion in cortical and subcortical regions, as well as FA and AD across numerous principal WM tracts. Between group differences within temporal cortices were evident across all imaging modalities, suggesting that the temporal lobe may be particularly susceptible to disruption in development following preterm birth. Overall, findings reveal enduring and pervasive effects of preterm birth on brain structural development, with individuals born at lower birthweights having greater long-term neuropathology. Very-low-birth-weight adults had smaller GM volumes and thinner cortex than controls. VLBW adults also showed regions of larger grey matter volumes and thicker cortex. Several small regions showed lower cerebral perfusion in VLBW adults than in controls. Diffusion tensor MRI suggested poorer WM integrity in VLBW adults than in controls. Within VLBW adults, all MRI measures showed positive associations with birthweight.
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Affiliation(s)
- Maddie J Pascoe
- New Zealand Brain Research Institute, Christchurch 8011, New Zealand.
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch 8011, New Zealand; Department of Medicine, University of Otago, Christchurch 8011, New Zealand.
| | - L John Horwood
- Department of Psychological Medicine, University of Otago, Christchurch 8011, New Zealand.
| | - Lianne J Woodward
- School of Health Sciences, University of Canterbury, Christchurch 8041, New Zealand.
| | - Brian A Darlow
- Department of Paediatrics, University of Otago, Christchurch 8011, New Zealand.
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37
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Borlase N, Melzer TR, Eggleston MJF, Darling KA, Rucklidge JJ. Resting-state networks and neurometabolites in children with ADHD after 10 weeks of treatment with micronutrients: results of a randomised placebo-controlled trial. Nutr Neurosci 2019; 23:876-886. [PMID: 30821654 DOI: 10.1080/1028415x.2019.1574329] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Children with attention-deficit/hyperactivity disorder (ADHD) show significant abnormalities on MR imaging in network communication and connectivity. The prefrontal-striatal-cerebella circuitry, involved in attention is particularly disrupted. Neurometabolites, the biochemical structures that support neurological structural integrity, particularly in the prefrontal cortex and striatum are associated with symptoms. This study aimed to explore changes in neurometabolite levels through treatment with vitamins and minerals (micronutrients), hypothesising that treatment would impact neural circuitry and correspond to a reduction in symptoms. Twenty-seven non-medicated children (M = 10.75 years) with DSM5 diagnosed ADHD were randomised to receive daily micronutrients or placebo for 10 weeks. Main outcome measures included the Clinical Global Impression-Improvement Scale and ADHD-RS-IV Clinician Ratings of ADHD symptoms. Magnetic resonance spectroscopy of the bilateral pre-frontal cortex and bilateral striatum, resting state fMRI and structural images were acquired 1 week pre-treatment, and in the last week of intervention. Results did not show any significant differences in the measured brain metrics and the levels of neurometabolites between treatment and placebo groups after ten weeks of treatment with micronutrients. In the treatment group there was a trend for: decreased choline in the striatum; decreased glutamate in the prefrontal cortex; increased grey matter in the anterior thalamus; increased white matter in the fornix and improved network integrity of the default mode network, dorsal attention network and frontal executive network. The small sample size of the current study limits results, future studies with higher power are warranted to explore any association between micronutrient treatment and neurological changes.
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Affiliation(s)
- Nadia Borlase
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Psychology, University of Canterbury, Christchurch, New Zealand
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Matthew J F Eggleston
- Child and Family North Community and Outreach Team, Canterbury District Health Board, Christchurch, New Zealand
| | - Kathryn A Darling
- Department of Psychology, University of Canterbury, Christchurch, New Zealand
| | - Julia J Rucklidge
- Department of Psychology, University of Canterbury, Christchurch, New Zealand
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38
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Snell DL, Martin R, Surgenor LJ, Siegert RJ, Hay-Smith EJC, Melzer TR, Anderson TJ, Hooper GJ. Wrestling with uncertainty after mild traumatic brain injury: a mixed methods study. Disabil Rehabil 2019; 42:1942-1953. [PMID: 30676112 DOI: 10.1080/09638288.2018.1542461] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Purpose: Our objective was to explore the intersection between mild traumatic brain injury (MTBI) recovery experiences and injury understandings, using both quantitative and qualitative methods.Materials and Methods: The quantitative component was a descriptive case-control study comparing participants (n = 76) who had recovered or not recovered after an MTBI, across demographic and psychological variables. A subset of participants (n = 10) participated in a semi-structured interview to explore experiences of recovery in more detail. We followed threads across the datasets to integrate findings from component methods.Results: The quantitative analyses revealed differences between the two groups in terms of injury recovery understandings and expectations. The qualitative analyses suggested that achieving consistency across information sources was important. By tracing threads back and forth between the component datasets, we identified a super-ordinate meta-theme that captured participants' experiences of wrestling with uncertainty about their recovery and the impacts in terms of heightened anxiety, confusion, and feelings of invalidation.Conclusion: The effectiveness of psychoeducation and reassurance after MTBI may be optimized when content is tailored to the individual. Clinicians are urged to attend both to the subjective interpretations patients make of information gained from formal and informal, internal and external sources, and where information across these sources conflicts and creates uncertainty.Implications for rehabilitationEffectiveness of psychoeducation and reassurance after injury may be optimized when content is tailored to the individual rather than being generic.Effectiveness of such interventions may also be optimized by understanding the subjective interpretations individuals make of injury knowledge gleaned from formal and informal, internal and external sources.Conflicting information from such multiple sources may create uncertainty with associated increased distress as an individual negotiates their recovery from injury. Attending to this uncertainty may be a helpful target for treatment.
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Affiliation(s)
- Deborah L Snell
- Concussion Clinic, Burwood Hospital, Christchurch, New Zealand.,Department of Orthopaedic Surgery and Musculoskeletal Medicine, University of Otago, Christchurch, New Zealand
| | - Rachelle Martin
- Rehabilitation Teaching and Research Unit, University of Otago, Wellington, New Zealand
| | - Lois J Surgenor
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Richard J Siegert
- Faculty of Health and Environmental Studies, AUT University, Auckland, New Zealand
| | - E Jean C Hay-Smith
- Rehabilitation Teaching and Research Unit, University of Otago, Wellington, New Zealand
| | - Tracy R Melzer
- Department of Medicine, University of Otago, Christchurch, New Zealand.,New Zealand Brain Research Institute, Christchurch, New Zealand.,Brain Research New Zealand Centre of Research Excellence, New Zealand
| | - Tim J Anderson
- Department of Medicine, University of Otago, Christchurch, New Zealand.,New Zealand Brain Research Institute, Christchurch, New Zealand.,Brain Research New Zealand Centre of Research Excellence, New Zealand
| | - Gary J Hooper
- Department of Orthopaedic Surgery and Musculoskeletal Medicine, University of Otago, Christchurch, New Zealand
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Mitchell NL, Russell KN, Wellby MP, Wicky HE, Schoderboeck L, Barrell GK, Melzer TR, Gray SJ, Hughes SM, Palmer DN. Longitudinal In Vivo Monitoring of the CNS Demonstrates the Efficacy of Gene Therapy in a Sheep Model of CLN5 Batten Disease. Mol Ther 2018; 26:2366-2378. [PMID: 30078766 PMCID: PMC6171082 DOI: 10.1016/j.ymthe.2018.07.015] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Revised: 07/08/2018] [Accepted: 07/12/2018] [Indexed: 02/03/2023] Open
Abstract
Neuronal ceroid lipofuscinoses (NCLs; Batten disease) are neurodegenerative lysosomal storage diseases predominantly affecting children. Single administration of brain-directed lentiviral or recombinant single-stranded adeno-associated virus 9 (ssAAV9) vectors expressing ovine CLN5 into six pre-clinically affected sheep with a naturally occurring CLN5 NCL resulted in long-term disease attenuation. Treatment efficacy was demonstrated by non-invasive longitudinal in vivo monitoring developed to align with assessments used in human medicine. The treated sheep retained neurological and cognitive function, and one ssAAV9-treated animal has been retained and is now 57 months old, almost triple the lifespan of untreated CLN5-affected sheep. The onset of visual deficits was much delayed. Computed tomography and MRI showed that brain structures and volumes remained stable. Because gene therapy in humans is more likely to begin after clinical diagnosis, self-complementary AAV9-CLN5 was injected into the brain ventricles of four 7-month-old affected sheep already showing early clinical signs in a second trial. This also halted disease progression beyond their natural lifespan. These findings demonstrate the efficacy of CLN5 gene therapy, using three different vector platforms, in a large animal model and, thus, the prognosis for human translation.
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Affiliation(s)
- Nadia L Mitchell
- Department of Molecular Biosciences, Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, New Zealand; Department of Radiology, University of Otago, Christchurch 8140, New Zealand
| | - Katharina N Russell
- Department of Molecular Biosciences, Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, New Zealand
| | - Martin P Wellby
- Department of Molecular Biosciences, Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, New Zealand
| | - Hollie E Wicky
- Department of Biochemistry, Brain Health Research Centre, University of Otago, Dunedin 9054, New Zealand
| | - Lucia Schoderboeck
- Department of Biochemistry, Brain Health Research Centre, University of Otago, Dunedin 9054, New Zealand
| | - Graham K Barrell
- Department of Molecular Biosciences, Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, New Zealand
| | - Tracy R Melzer
- Department of Medicine, University of Otago, Christchurch 8140, New Zealand
| | - Steven J Gray
- Gene Therapy Center and Department of Ophthalmology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Stephanie M Hughes
- Department of Biochemistry, Brain Health Research Centre, University of Otago, Dunedin 9054, New Zealand
| | - David N Palmer
- Department of Molecular Biosciences, Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, New Zealand; Department of Radiology, University of Otago, Christchurch 8140, New Zealand.
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Russell KN, Mitchell NL, Anderson NG, Bunt CR, Wellby MP, Melzer TR, Barrell GK, Palmer DN. Computed tomography provides enhanced techniques for longitudinal monitoring of progressive intracranial volume loss associated with regional neurodegeneration in ovine neuronal ceroid lipofuscinoses. Brain Behav 2018; 8:e01096. [PMID: 30136763 PMCID: PMC6160654 DOI: 10.1002/brb3.1096] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 07/10/2018] [Accepted: 07/15/2018] [Indexed: 01/22/2023] Open
Abstract
INTRODUCTION The neuronal ceroid lipofuscinoses (NCLs; Batten disease) are a group of fatal neurodegenerative lysosomal storage diseases of children caused by various mutations in a range of genes. Forms associated with mutations in two of these, CLN5 and CLN6, are being investigated in well-established sheep models. Brain atrophy leading to psychomotor degeneration is among the defining features, as is regional progressive ossification of the inner cranium. Ongoing viral-mediated gene therapy trials in these sheep are yielding encouraging results. In vivo assessment of brain atrophy is integral to the longitudinal monitoring of individual animals and provides robust data for translation to treatments for humans. METHODS Computed tomography (CT)-based three-dimensional reconstruction of the intracranial volume (ICV) over time reflects the progression of cortical brain atrophy, verifying the use of ICV measurements as a surrogate measure for brain size in ovine NCL. RESULTS ICVs of NCL-affected sheep increase for the first few months, but then decline progressively between 5 and 13 months in CLN5-/- sheep and 11-15 months in CLN6-/- sheep. Cerebral ventricular volumes are also increased in affected animals. To facilitate ICV measures, the radiodensities of ovine brain tissue and cerebrospinal fluid were identified. Ovine brain tissue exhibited a Hounsfield unit (HU) range of (24; 56) and cerebrospinal fluid a HU range of (-12; 23). CONCLUSIONS Computed tomography scanning and reconstruction verify that brain atrophy ovine CLN5 NCL originates in the occipital lobes with subsequent propagation throughout the whole cortex and these regional differences are reflected in the ICV loss.
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Affiliation(s)
- Katharina N Russell
- Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln, New Zealand
| | - Nadia L Mitchell
- Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln, New Zealand.,Department of Radiology, University of Otago, Christchurch, New Zealand
| | - Nigel G Anderson
- Department of Radiology, University of Otago, Christchurch, New Zealand
| | - Craig R Bunt
- Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln, New Zealand
| | - Martin P Wellby
- Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln, New Zealand
| | - Tracy R Melzer
- Department of Medicine, University of Otago, Christchurch, New Zealand.,New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Graham K Barrell
- Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln, New Zealand
| | - David N Palmer
- Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln, New Zealand.,Department of Radiology, University of Otago, Christchurch, New Zealand
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Castellazzi G, Debernard L, Melzer TR, Dalrymple-Alford JC, D'Angelo E, Miller DH, Gandini Wheeler-Kingshott CAM, Mason DF. Functional Connectivity Alterations Reveal Complex Mechanisms Based on Clinical and Radiological Status in Mild Relapsing Remitting Multiple Sclerosis. Front Neurol 2018; 9:690. [PMID: 30177910 PMCID: PMC6109785 DOI: 10.3389/fneur.2018.00690] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 07/30/2018] [Indexed: 11/13/2022] Open
Abstract
Resting state functional MRI (rs-fMRI) has provided important insights into functional reorganization in subjects with Multiple Sclerosis (MS) at different stage of disease. In this cross-sectional study we first assessed, by means of rs-fMRI, the impact of overall T2 lesion load (T2LL) and MS severity score (MSSS) on resting state networks (RSNs) in 62 relapsing remitting MS (RRMS) patients with mild disability (MSSS < 3). Independent Component Analysis (ICA) followed by dual regression analysis confirmed functional connectivity (FC) alterations of many RSNs in RRMS subjects compared to healthy controls. The anterior default mode network (DMNa) and the superior precuneus network (PNsup) showed the largest areas of decreased FC, while the sensory motor networks area M1 (SMNm1) and the medial visual network (MVN) showed the largest areas of increased FC. In order to better understand the nature of these alterations as well as the mechanisms of functional alterations in MS we proposed a method, based on linear regression, that takes into account FC changes and their correlation with T2LL and MSSS. Depending on the sign of the correlation between FC and T2LL, and furthermore the sign of the correlation with MSSS, we suggested the following possible underlying mechanisms to interpret altered FC: (1) FC reduction driven by MS lesions, (2) "true" functional compensatory mechanism, (3a) functional compensation attempt, (3b) "false" functional compensation, (4a) neurodegeneration, (4b) pre-symptomatic condition (damage precedes MS clinical manifestation). Our data shows areas satisfying 4 of these 6 conditions (i.e., 1,2,3b,4b), supporting the suggestion that increased FC has a complex nature that may exceed the simplistic assumption of an underlying compensatory mechanism attempting to limit the brain damage caused by MS progression. Exploring differences between RRMS subjects with short disease duration (MSshort) and RRMS with similar disability but longer disease duration (MSlong), we found that MSshort and MSlong were characterized by clearly distinct pattern of FC, involving predominantly sensory and cognitive networks respectively. Overall, these results suggest that the analysis of FC alterations in multiple large-scale networks in relation to radiological (T2LL) and clinical (MSSS, disease duration) status may provide new insights into the pathophysiology of relapse onset MS evolution.
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Affiliation(s)
- Gloria Castellazzi
- NMR Research Unit, Department of Neuroinflammation, Queen Square MS Centre, UCL Institute of Neurology, London, United Kingdom.,Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Laetitia Debernard
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Brain Research New Zealand, Auckland, New Zealand
| | - John C Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Brain Research New Zealand, Auckland, New Zealand.,Department of Psychology, University of Canterbury, Christchurch, New Zealand
| | - Egidio D'Angelo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy
| | - David H Miller
- NMR Research Unit, Department of Neuroinflammation, Queen Square MS Centre, UCL Institute of Neurology, London, United Kingdom.,New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Department of Neuroinflammation, Queen Square MS Centre, UCL Institute of Neurology, London, United Kingdom.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Brain MRI 3T Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Deborah F Mason
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Department of Neurology, Christchurch Hospital, Christchurch, New Zealand
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Morgan CA, Melzer TR, Mutsaerts HJMM, Spriggs MJ, Roberts RP, Addis DR, Kirk IJ, Tippett LJ. P4‐329: NOVEL PERFUSION MRI BIOMARKER APPLIED TO MILD COGNITIVE IMPAIRMENT. Alzheimers Dement 2018. [DOI: 10.1016/j.jalz.2018.07.152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Catherine A. Morgan
- School of Psychology and Centre for Brain ResearchThe University of AucklandAucklandNew Zealand
- Brain Research New ZealandAucklandNew Zealand
| | - Tracy R. Melzer
- University of OtagoChristchurchNew Zealand
- New Zealand Brain Research InstituteChristchurchNew Zealand
- Brain Research New ZealandChristchurchNew Zealand
| | | | - Meg J. Spriggs
- School of Psychology and Centre for Brain ResearchThe University of AucklandAucklandNew Zealand
- Brain Research New ZealandAucklandNew Zealand
| | - Reece P. Roberts
- School of Psychology and Centre for Brain ResearchThe University of AucklandAucklandNew Zealand
- Brain Research New ZealandAucklandNew Zealand
| | - Donna R. Addis
- School of Psychology and Centre for Brain ResearchThe University of AucklandAucklandNew Zealand
- Brain Research New ZealandAucklandNew Zealand
| | - Ian J. Kirk
- School of Psychology and Centre for Brain ResearchThe University of AucklandAucklandNew Zealand
- Brain Research New ZealandAucklandNew Zealand
| | - Lynette J. Tippett
- School of Psychology and Centre for Brain ResearchThe University of AucklandAucklandNew Zealand
- Brain Research New ZealandAucklandNew Zealand
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Almuqbel MM, Leeper G, Palmer DN, Mitchell NL, Russell KN, Keenan RJ, Melzer TR. Practical implications of motion correction with motion insensitive radial k-space acquisitions in MRI. Br J Radiol 2018. [PMID: 29537305 DOI: 10.1259/bjr.20170593] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To highlight specific instances when radial k-space acquisitions in MRI result in image artifacts and how to ameliorate such artifacts. METHODS We acquired axial T2 weighted MR images on (1) the American College of Radiology (ACR) phantom and (2) a sedated sheep with rectilinear and multiblade radial k-space filling acquisitions. Images were acquired on four (2 × 1.5T and 2 × 3T) different MRI scanners. For the radial k-space acquisitions, we acquired images with and without motion correction. All images were visually inspected for the presence of artifact. RESULTS Images collected via the conventional rectilinear method were of diagnostic quality and free of artifact. Both ACR and sheep images acquired with radial k-space acquisitions and motion correction suffered significant artifact at different slice locations, scan sessions and across all the four scanners. Severity of the artifact was associated with echo train length. However, the artifact was eliminated when motion correction was not employed. CONCLUSION When little to no motion is present, the use of motion correction with radial k-space acquisitions can compromise image quality. However, image quality is quickly improved, and the artifact eliminated, by repeating the scan without motion correction or by using a conventional rectilinear alternative. Advances in Knowledge: By improving awareness and understanding of this artifact, MRI users will be able to adjust MRI protocols, resulting in more successful scanning sessions, better image quality, fewer call backs and increased diagnostic confidence.
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Affiliation(s)
- Mustafa M Almuqbel
- 1 New Zealand Brain Research Institute , Christchurch , New Zealand.,2 Department of Medicine, University of Otago , Christchurch , New Zealand.,3 Pacific Radiology Group , Christchurch , New Zealand
| | - Gareth Leeper
- 3 Pacific Radiology Group , Christchurch , New Zealand
| | - David N Palmer
- 4 Faculty of Agriculture and Life Sciences, Lincoln University , Lincoln , New Zealand.,5 Batten Animal Research Network (BARN) , Lincoln , New Zealand
| | - Nadia L Mitchell
- 5 Batten Animal Research Network (BARN) , Lincoln , New Zealand.,6 Department of Radiology, University of Otago , Christchurch , New Zealand
| | - Katharina N Russell
- 5 Batten Animal Research Network (BARN) , Lincoln , New Zealand.,7 Department of Wine, Food and Molecular Biosciences, Lincoln University , Lincoln , New Zealand
| | - Ross J Keenan
- 1 New Zealand Brain Research Institute , Christchurch , New Zealand.,2 Department of Medicine, University of Otago , Christchurch , New Zealand.,3 Pacific Radiology Group , Christchurch , New Zealand
| | - Tracy R Melzer
- 1 New Zealand Brain Research Institute , Christchurch , New Zealand.,2 Department of Medicine, University of Otago , Christchurch , New Zealand.,8 Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence , Christchurch , New Zealand
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Groves SJ, Pitcher TL, Melzer TR, Jordan J, Carter JD, Malhi GS, Johnston LC, Porter RJ. Brain activation during processing of genuine facial emotion in depression: Preliminary findings. J Affect Disord 2018; 225:91-96. [PMID: 28802727 DOI: 10.1016/j.jad.2017.07.049] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Revised: 07/25/2017] [Accepted: 07/26/2017] [Indexed: 01/22/2023]
Abstract
OBJECTIVE The current study aimed to examine the neural correlates of processing genuine compared with posed emotional expressions, in depressed and healthy subjects using a novel functional magnetic resonance imaging (fMRI) paradigm METHOD: During fMRI scanning, sixteen depressed patients and ten healthy controls performed an Emotion Categorisation Task, whereby participants were asked to distinguish between genuine and non-genuine (posed or neutral) facial displays of happiness and sadness. RESULTS Compared to controls, the depressed group showed greater activation whilst processing genuine versus posed facial displays of sadness, in the left medial orbitofrontal cortex, caudate and putamen. The depressed group also showed greater activation whilst processing genuine facial displays of sadness relative to neutral displays, in the bilateral medial frontal/orbitofrontal cortex, left dorsolateral prefrontal cortex, right dorsal anterior cingulate, bilateral posterior cingulate, right superior parietal lobe, left lingual gyrus and cuneus. No differences were found between the two groups for happy facial displays. LIMITATIONS Relatively small sample sizes and due to the exploratory nature of the study, no correction was made for multiple comparisons. CONCLUSION The findings of this exploratory study suggest that depressed individuals may show a different pattern of brain activation in response to genuine versus posed facial displays of sadness, compared to healthy individuals. This may have important implications for future studies that wish to examine the neural correlates of facial emotion processing in depression.
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Affiliation(s)
- Samantha J Groves
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Toni L Pitcher
- Department of Medicine, University of Otago, Christchurch, New Zealand; New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Tracy R Melzer
- Department of Medicine, University of Otago, Christchurch, New Zealand; New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Jennifer Jordan
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand; Canterbury District Health Board, New Zealand
| | - Janet D Carter
- Psychology Department, University of Canterbury, New Zealand
| | - Gin S Malhi
- Sydney Medical School, University of Sydney, Australia
| | | | - Richard J Porter
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand.
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Wood KL, Myall DJ, Livingston L, Melzer TR, Pitcher TL, MacAskill MR, Geurtsen GJ, Anderson TJ, Dalrymple-Alford JC. Different PD-MCI criteria and risk of dementia in Parkinson's disease: 4-year longitudinal study. NPJ Parkinsons Dis 2016; 2:15027. [PMID: 28725690 PMCID: PMC5516585 DOI: 10.1038/npjparkd.2015.27] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Revised: 11/12/2015] [Accepted: 11/20/2015] [Indexed: 02/08/2023] Open
Abstract
The Movement Disorder Society Task Force (MDS-TF) has proposed diagnostic criteria for mild cognitive impairment in Parkinson's disease (PD-MCI). We hypothesized that the risk of dementia (PDD) varies across the different cutoff schemes allowed. A longitudinal study followed 121 non-demented PD patients for up to 4.5 years. In Part One, unique groups of patients were identified as PD-MCI at baseline using the MDS-TF requirement of two impaired cognitive test scores, with both scores classified as impaired at either (i) 2 s.d., (ii) 1.5 s.d. or (iii) 1 s.d. below normative data; relative risk (RR) of PDD was assessed at each criterion. In Part Two, the whole sample was reassessed and (i) RR of PDD determined when two impairments at 1.5 s.d. existed within a single cognitive domain, followed by (ii) RR of PDD in the unique group whose two impairments at 1.5 s.d. did not exist within a single domain (i.e., only across two domains). Twenty-one percent of patients converted to PDD. Part One showed that the 1.5 s.d. criterion at baseline is optimal to maximize progression to PDD over 4 years. Part Two, however, showed that the 1.5 s.d. cutoff produced a high RR of PDD only when two impairments were identified within a single cognitive domain (7.2, 95% confidence interval (CI)=3.4-16.6, P<0.0001; 51% converted). The RR when the 1.5 s.d. impairments occurred only across two different domains, was nonsignificant (1.7, CI=0.5-7.4, P=0.13; 11% converted) and similar to using a 1 s.d. criterion (1.9, CI=0.3-4.3, P=0.13; 8% converted). If the intent of a PD-MCI diagnosis is to detect increased risk of PDD in the next 4 years, optimal criteria should identify at least two impairments at 1.5 s.d. within a single cognitive domain.
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Affiliation(s)
- Kyla-Louise Wood
- Department of Psychology, University of Canterbury, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Daniel J Myall
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Leslie Livingston
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Brain Research New Zealand—Rangahau Roro Aotearoa, New Zealand
| | - Toni L Pitcher
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Michael R MacAskill
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Gert J Geurtsen
- Department of Medical Psychology, Academic Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Tim J Anderson
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Brain Research New Zealand—Rangahau Roro Aotearoa, New Zealand
- Department of Neurology, Christchurch Hospital, Christchurch, New Zealand
| | - John C Dalrymple-Alford
- Department of Psychology, University of Canterbury, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Brain Research New Zealand—Rangahau Roro Aotearoa, New Zealand
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Almuqbel M, Melzer TR, Myall DJ, MacAskill MR, Pitcher TL, Livingston L, Wood KL, Keenan RJ, Dalrymple-Alford JC, Anderson TJ. Metabolite ratios in the posterior cingulate cortex do not track cognitive decline in Parkinson's disease in a clinical setting. Parkinsonism Relat Disord 2016; 22:54-61. [DOI: 10.1016/j.parkreldis.2015.11.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Revised: 09/27/2015] [Accepted: 11/02/2015] [Indexed: 10/22/2022]
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Debernard L, Melzer TR, Alla S, Eagle J, Van Stockum S, Graham C, Osborne JR, Dalrymple-Alford JC, Miller DH, Mason DF. Deep grey matter MRI abnormalities and cognitive function in relapsing-remitting multiple sclerosis. Psychiatry Res 2015; 234:352-61. [PMID: 26602610 DOI: 10.1016/j.pscychresns.2015.10.004] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Revised: 08/25/2015] [Accepted: 10/01/2015] [Indexed: 11/29/2022]
Abstract
Although deep grey matter (GM) involvement in multiple sclerosis (MS) is well documented, in-vivo multi-parameter magnetic resonance imaging (MRI) studies and association with detailed cognitive measures are limited. We investigated volumetric, diffusion and perfusion metrics in thalamus, hippocampus, putamen, caudate nucleus and globus pallidum, and neuropsychological measures, spanning 4 cognitive domains, in 60 relapsing-remitting MS patients (RRMS) (mean disease duration of 5.1 years, median EDSS of 1.5) and 30 healthy controls. There was significantly reduced volume of thalamus, hippocampus and putamen in the RRMS patients, but no diffusion or perfusion changes in these structures. Decreased volume in these deep GM volumes in RRMS patients was associated with a modest reduction in cognitive performance, particularly information processing speed, consistent with a subtle disruption of distributed networks, that subserve cognition, in these patients. Future longitudinal studies are needed to elucidate the influence of deep GM changes on the evolution of cognitive deficits in MS.
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Affiliation(s)
- Laëtitia Debernard
- New Zealand Brain Research Institute, Christchurch, New Zealand; University of Otago, Christchurch, New Zealand.
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand; University of Otago, Christchurch, New Zealand
| | - Sridhar Alla
- New Zealand Brain Research Institute, Christchurch, New Zealand; University of Otago, Christchurch, New Zealand
| | - Jane Eagle
- New Zealand Brain Research Institute, Christchurch, New Zealand; Department of Neurology, Christchurch Hospital, New Zealand
| | | | | | | | - John C Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand; University of Canterbury, Christchurch, New Zealand
| | - David H Miller
- New Zealand Brain Research Institute, Christchurch, New Zealand; University of Otago, Christchurch, New Zealand; Institute of Neurology, University College London, London, United Kingdom
| | - Deborah F Mason
- New Zealand Brain Research Institute, Christchurch, New Zealand; University of Otago, Christchurch, New Zealand; Department of Neurology, Christchurch Hospital, New Zealand
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Melzer TR, Myall DJ, MacAskill MR, Pitcher TL, Livingston L, Watts R, Keenan RJ, Dalrymple-Alford JC, Anderson TJ. Tracking Parkinson's Disease over One Year with Multimodal Magnetic Resonance Imaging in a Group of Older Patients with Moderate Disease. PLoS One 2015; 10:e0143923. [PMID: 26714266 PMCID: PMC4694717 DOI: 10.1371/journal.pone.0143923] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2015] [Accepted: 11/11/2015] [Indexed: 11/19/2022] Open
Abstract
Background & Objectives Cross-sectional magnetic resonance imaging (MRI) suggests that Parkinson’s disease (PD) is associated with changes in cerebral tissue volume, diffusion tensor imaging metrics, and perfusion values. Here, we performed a longitudinal multimodal MRI study—including structural, diffusion tensor imaging (DTI), and perfusion MRI—to investigate progressive brain changes over one year in a group of older PD patients at a moderate stage of disease. Methods Twenty-three non-demented PD (mean age (SD) = 69.5 (6.4) years, disease duration (SD) = 5.6 (4.3) years) and 23 matched control participants (mean age: 70.6 (6.8)) completed extensive neuropsychological and clinical assessment, and multimodal 3T MRI scanning at baseline and one year later. We used a voxel-based approach to assess change over time and group-by-time interactions for cerebral structural and perfusion metrics. Results Compared to controls, in PD participants there was localized grey matter atrophy over time in bilateral inferior and right middle temporal, and left orbito-frontal cortices. Using a voxel-based approach that focused on the centers of principal white matter tracts, the PD and control cohorts exhibited similar levels of change in DTI metrics. There was no significant change in perfusion, cognitive, or motor severity measures. Conclusions In a cohort of older, non-demented PD participants, macrostructural MRI detected atrophy in the PD group compared with the control group in temporal and orbito-frontal cortices. Changes in diffusion MRI along principal white matter tracts over one year were found, but this was not differentially affected by PD.
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Affiliation(s)
- Tracy R. Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- * E-mail:
| | - Daniel J. Myall
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Michael R. MacAskill
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Toni L. Pitcher
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Leslie Livingston
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Richard Watts
- College of Medicine, University of Vermont, Burlington, VT, United States of America
| | - Ross J. Keenan
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Christchurch Radiology Group, Christchurch, New Zealand
| | - John C. Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Department of Psychology, University of Canterbury, New Zealand
| | - Tim J. Anderson
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Department of Neurology, Christchurch Hospital, Christchurch, New Zealand
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Darlow BA, Horwood LJ, Woodward LJ, Elliott JM, Troughton RW, Elder MJ, Epton MJ, Stanton JD, Swanney MP, Keenan R, Melzer TR, McKelvey VA, Levin K, Meeks MG, Espiner EA, Cameron VA, Martin J. The New Zealand 1986 very low birth weight cohort as young adults: mapping the road ahead. BMC Pediatr 2015; 15:90. [PMID: 26242407 PMCID: PMC4526306 DOI: 10.1186/s12887-015-0413-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2015] [Accepted: 07/29/2015] [Indexed: 01/06/2023] Open
Abstract
Background Very low birth weight (less than 1500 g) is associated with increased morbidity and costs of health care in childhood. Emerging evidence suggests these infants face a range of health and social problems as young adults. We studied all New Zealand very low birth weight infants born in 1986 (when 58 % were exposed to antenatal corticosteroids) in infancy, with later follow-up at 7 to 8 years and 23 to 24 years. We now aim to assess the cohort at 26–28 years compared with controls. Methods/design The case sample will comprise a minimum of 250 members of the 1986 New Zealand national very low birth weight cohort (77 % of survivors). Outcomes will be compared with a control group of 100 young adults born at term in 1986. Following written informed consent, participants will travel to Christchurch for 2 days of assessments undertaken by experienced staff. Medical assessments include growth measures, vision, respiratory function, blood pressure and echocardiogram, renal function, dental examination and blood tests. Cognitive and neuropsychological functioning will be assessed with standard tests, and mental health and social functioning by participant interview. A telephone interview will be conducted with a parent or significant other person nominated by the respondent to gain a further perspective on the young person’s health and functioning. All those born at less than 28 weeks’ gestation, plus a random subset of the cohort to a total of 150 cases and 50 controls, will be offered cranial magnetic-resonance imaging. Statistical analysis will examine comparison with controls and long-term trajectories for the very low birth weight cohort. Discussion The research will provide crucial New Zealand data on the young adult outcomes for very low birth weight infants and address gaps in the international literature, particularly regarding cardiovascular, respiratory, visual and neurocognitive outcomes. These data will inform future neonatal care, provide evidence-based guidelines for care of preterm graduates transitioning to adult care, and help shape health education and social policies for this high risk group. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12612000995875. Registered 1 October 2012 Electronic supplementary material The online version of this article (doi:10.1186/s12887-015-0413-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Brian A Darlow
- Cure Kids Professor of Paediatric Research, Department of Paediatrics, University of Otago at Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
| | - L John Horwood
- Christchurch Health and Development Study, Department of Psychological Medicine, University of Otago at Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
| | - Lianne J Woodward
- Director of Infant and Child Development Research, Department of Pediatric Newborn Medicine. Brigham & Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
| | - John M Elliott
- Christchurch Heart Institute, University of Otago at Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
| | - Richard W Troughton
- Christchurch Heart Institute, University of Otago at Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
| | - Mark J Elder
- Department of Surgery, University of Otago at Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
| | - Michael J Epton
- Canterbury Respiratory Research Group, 40 Stewart Street, Christchurch, New Zealand.
| | - Josh D Stanton
- Respiratory Services, Christchurch Hospital, Private Bag 4710, Christchurch, New Zealand.
| | - Maureen P Swanney
- Respiratory Services, Christchurch Hospital, Private Bag 4710, Christchurch, New Zealand.
| | - Ross Keenan
- New Zealand Brain Research Institute, University of Otago at Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
| | - Tracy R Melzer
- New Zealand Brain Research Institute, University of Otago at Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
| | - Victoria A McKelvey
- Oral Health Services, Christchurch Hospital, Private Bag 4710, Christchurch, New Zealand.
| | - Karelia Levin
- Cure Kids Professor of Paediatric Research, Department of Paediatrics, University of Otago at Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
| | - Margaret G Meeks
- Cure Kids Professor of Paediatric Research, Department of Paediatrics, University of Otago at Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
| | - Eric A Espiner
- Department of Medicine, University of Otago at Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
| | - Vicky A Cameron
- Christchurch Heart Institute, University of Otago at Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
| | - Julia Martin
- Cure Kids Professor of Paediatric Research, Department of Paediatrics, University of Otago at Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
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Innes CRH, Kelly PT, Hlavac M, Melzer TR, Jones RD. Decreased Regional Cerebral Perfusion in Moderate-Severe Obstructive Sleep Apnoea during Wakefulness. Sleep 2015; 38:699-706. [PMID: 25669185 DOI: 10.5665/sleep.4658] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2014] [Accepted: 03/14/2015] [Indexed: 12/21/2022] Open
Abstract
STUDY OBJECTIVES To investigate gray matter volume and concentration and cerebral perfusion in people with untreated obstructive sleep apnea (OSA) while awake. DESIGN Voxel-based morphometry to quantify gray matter concentration and volume. Arterial spin labeling perfusion imaging to quantify cerebral perfusion. SETTING Lying supine in a 3-T magnetic resonance imaging scanner in the early afternoon. PARTICIPANTS 19 people with OSA (6 females, 13 males; mean age 56.7 y, range 41-70; mean AHI 18.5, range 5.2-52.8) and 19 controls (13 females, 6 males; mean age: 50.0 y, range 41-81). INTERVENTIONS N/A. MEASUREMENTS AND RESULTS There were no differences in regional gray matter concentration or volume between participants with OSA and controls. Neither was there any difference in regional perfusion between controls and people with mild OSA (n = 11). However, compared to controls, participants with moderate-severe OSA (n = 8) had decreased perfusion (while awake) in three clusters. The largest cluster incorporated, bilaterally, the paracingulate gyrus, anterior cingulate gyrus, and subcallosal cortex, and the left putamen and left frontal orbital cortex. The second cluster was right-lateralized, incorporating the posterior temporal fusiform cortex, parahippocampal gyrus, and hippocampus. The third cluster was located in the right thalamus. CONCLUSIONS There is decreased regional perfusion during wakefulness in participants with moderate-severe obstructive sleep apnea, and these are in brain regions which have shown decreased regional gray matter volume in previous studies in people with severe OSA. Thus, we hypothesize that cerebral perfusion changes are evident before (and possibly underlie) future structural changes.
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Affiliation(s)
- Carrie R H Innes
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Medical Physics & Bioengineering, Christchurch Hospital, Christchurch, New Zealand.,Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand
| | - Paul T Kelly
- Sleep Unit, Christchurch Hospital, Christchurch, New Zealand
| | - Michael Hlavac
- Sleep Unit, Christchurch Hospital, Christchurch, New Zealand
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Richard D Jones
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Medical Physics & Bioengineering, Christchurch Hospital, Christchurch, New Zealand.,Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Department of Psychology, University of Canterbury, Christchurch, New Zealand
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