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Vriend C, de Joode NT, Pouwels PJW, Liu F, Otaduy MCG, Pastorello B, Robertson FC, Ipser J, Lee S, Hezel DM, van Meter PE, Batistuzzo MC, Hoexter MQ, Sheshachala K, Narayanaswamy JC, Venkatasubramanian G, Lochner C, Miguel EC, Reddy YCJ, Shavitt RG, Stein DJ, Wall M, Simpson HB, van den Heuvel OA. Age of onset of obsessive-compulsive disorder differentially affects white matter microstructure. Mol Psychiatry 2024:10.1038/s41380-023-02390-8. [PMID: 38228890 DOI: 10.1038/s41380-023-02390-8] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 12/04/2023] [Accepted: 12/15/2023] [Indexed: 01/18/2024]
Abstract
Previous diffusion MRI studies have reported mixed findings on white matter microstructure alterations in obsessive-compulsive disorder (OCD), likely due to variation in demographic and clinical characteristics, scanning methods, and underpowered samples. The OCD global study was created across five international sites to overcome these challenges by harmonizing data collection to identify consistent brain signatures of OCD that are reproducible and generalizable. Single-shell diffusion measures (e.g., fractional anisotropy), multi-shell Neurite Orientation Dispersion and Density Imaging (NODDI) and fixel-based measures, were extracted from skeletonized white matter tracts in 260 medication-free adults with OCD and 252 healthy controls. We additionally performed structural connectome analysis. We compared cases with controls and cases with early (<18) versus late (18+) OCD onset using mixed-model and Bayesian multilevel analysis. Compared with healthy controls, adult OCD individuals showed higher fiber density in the sagittal stratum (B[SE] = 0.10[0.05], P = 0.04) and credible evidence for higher fiber density in several other tracts. When comparing early (n = 145) and late-onset (n = 114) cases, converging evidence showed lower integrity of the posterior thalamic radiation -particularly radial diffusivity (B[SE] = 0.28[0.12], P = 0.03)-and lower global efficiency of the structural connectome (B[SE] = 15.3[6.6], P = 0.03) in late-onset cases. Post-hoc analyses indicated divergent direction of effects of the two OCD groups compared to healthy controls. Age of OCD onset differentially affects the integrity of thalamo-parietal/occipital tracts and the efficiency of the structural brain network. These results lend further support for the role of the thalamus and its afferent fibers and visual attentional processes in the pathophysiology of OCD.
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Affiliation(s)
- Chris Vriend
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, and Department of Anatomy and Neuroscience, de Boelelaan 1117, Amsterdam, the Netherlands.
- Compulsivity, Impulsivity and Attention, Amsterdam Neuroscience, de Boelelaan 1117, Amsterdam, the Netherlands.
| | - Niels T de Joode
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, and Department of Anatomy and Neuroscience, de Boelelaan 1117, Amsterdam, the Netherlands
- Compulsivity, Impulsivity and Attention, Amsterdam Neuroscience, de Boelelaan 1117, Amsterdam, the Netherlands
| | - Petra J W Pouwels
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, de Boelelaan 1117, Amsterdam, the Netherlands
- Brain Imaging, Amsterdam Neuroscience, de Boelelaan 1117, Amsterdam, the Netherlands
| | - Feng Liu
- Columbia University Irving Medical Center, Columbia University, New York, NY, 10032, USA
- The New York State Psychiatric Institute, New York, NY, 10032, USA
| | - Maria C G Otaduy
- LIM44, Hospital das Clinicas HCFMUSP, Instituto e Departamento de Radiologia da Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Bruno Pastorello
- LIM44, Hospital das Clinicas HCFMUSP, Instituto e Departamento de Radiologia da Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Frances C Robertson
- Cape Universities Body Imaging Centre, University of Cape Town, Cape Town, South Africa
| | - Jonathan Ipser
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Seonjoo Lee
- Columbia University Irving Medical Center, Columbia University, New York, NY, 10032, USA
- The New York State Psychiatric Institute, New York, NY, 10032, USA
| | - Dianne M Hezel
- Columbia University Irving Medical Center, Columbia University, New York, NY, 10032, USA
- The New York State Psychiatric Institute, New York, NY, 10032, USA
| | - Page E van Meter
- Columbia University Irving Medical Center, Columbia University, New York, NY, 10032, USA
- The New York State Psychiatric Institute, New York, NY, 10032, USA
| | - Marcelo C Batistuzzo
- Obsessive-Compulsive Spectrum Disorders Program, LIM23, Hospital das Clinicas HCFMUSP, Instituto & Departamento de Psiquiatria da Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
- Department of Methods and Techniques in Psychology, Pontifical Catholic University, Sao Paulo, SP, Brazil
| | - Marcelo Q Hoexter
- LIM44, Hospital das Clinicas HCFMUSP, Instituto e Departamento de Radiologia da Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Karthik Sheshachala
- National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | | | | | - Christine Lochner
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Euripedes C Miguel
- Obsessive-Compulsive Spectrum Disorders Program, LIM23, Hospital das Clinicas HCFMUSP, Instituto & Departamento de Psiquiatria da Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Y C Janardhan Reddy
- National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Roseli G Shavitt
- Obsessive-Compulsive Spectrum Disorders Program, LIM23, Hospital das Clinicas HCFMUSP, Instituto & Departamento de Psiquiatria da Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Dan J Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Melanie Wall
- Columbia University Irving Medical Center, Columbia University, New York, NY, 10032, USA
- The New York State Psychiatric Institute, New York, NY, 10032, USA
| | - Helen Blair Simpson
- Columbia University Irving Medical Center, Columbia University, New York, NY, 10032, USA
- The New York State Psychiatric Institute, New York, NY, 10032, USA
| | - Odile A van den Heuvel
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, and Department of Anatomy and Neuroscience, de Boelelaan 1117, Amsterdam, the Netherlands
- Compulsivity, Impulsivity and Attention, Amsterdam Neuroscience, de Boelelaan 1117, Amsterdam, the Netherlands
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Pouwels PJW, Vriend C, Liu F, de Joode NT, Otaduy MCG, Pastorello B, Robertson FC, Venkatasubramanian G, Ipser J, Lee S, Batistuzzo MC, Hoexter MQ, Lochner C, Miguel EC, Narayanaswamy JC, Rao R, Janardhan Reddy YC, Shavitt RG, Sheshachala K, Stein DJ, van Balkom AJLM, Wall M, Simpson HB, van den Heuvel OA. Global multi-center and multi-modal magnetic resonance imaging study of obsessive-compulsive disorder: Harmonization and monitoring of protocols in healthy volunteers and phantoms. Int J Methods Psychiatr Res 2023; 32:e1931. [PMID: 35971639 PMCID: PMC9976605 DOI: 10.1002/mpr.1931] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 12/23/2021] [Revised: 06/13/2022] [Accepted: 06/22/2022] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVES We describe the harmonized MRI acquisition and quality assessment of an ongoing global OCD study, with the aim to translate representative, well-powered neuroimaging findings in neuropsychiatric research to worldwide populations. METHODS We report on T1-weighted structural MRI, resting-state functional MRI, and multi-shell diffusion-weighted imaging of 140 healthy participants (28 per site), two traveling controls, and regular phantom scans. RESULTS Human image quality measures (IQMs) and outcome measures showed smaller within-site variation than between-site variation. Outcome measures were less variable than IQMs, especially for the traveling controls. Phantom IQMs were stable regarding geometry, SNR, and mean diffusivity, while fMRI fluctuation was more variable between sites. CONCLUSIONS Variation in IQMs persists, even for an a priori harmonized data acquisition protocol, but after pre-processing they have less of an impact on the outcome measures. Continuous monitoring IQMs per site is valuable to detect potential artifacts and outliers. The inclusion of both cases and healthy participants at each site remains mandatory.
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Affiliation(s)
- Petra J. W. Pouwels
- Department of Radiology and Nuclear MedicineAmsterdam UMCVrije Universiteit AmsterdamAmsterdam NeuroscienceAmsterdamThe Netherlands
| | - Chris Vriend
- Department of PsychiatryDepartment of Anatomy and NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdam NeuroscienceAmsterdamThe Netherlands
| | - Feng Liu
- Columbia University Irving Medical CenterColumbia UniversityNew York State Psychiatric InstituteNew YorkNYUSA
| | - Niels T. de Joode
- Department of PsychiatryDepartment of Anatomy and NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdam NeuroscienceAmsterdamThe Netherlands
| | - Maria C. G. Otaduy
- Department of RadiologyLIM44, InstituteHospital Das Clinicas‐HCFMUSPUniversity of Sao Paulo Medical SchoolSao PauloBrazil
| | - Bruno Pastorello
- Department of RadiologyLIM44, InstituteHospital Das Clinicas‐HCFMUSPUniversity of Sao Paulo Medical SchoolSao PauloBrazil
| | - Frances C. Robertson
- Cape Universities Body Imaging CentreUniversity of Cape TownCape TownSouth Africa
| | | | - Jonathan Ipser
- Department of PsychiatrySAMRC Unit on Risk & Resilience in Mental DisordersNeuroscience InstituteUniversity of Cape TownCape TownSouth Africa
| | - Seonjoo Lee
- Columbia University Irving Medical CenterColumbia UniversityNew York State Psychiatric InstituteNew YorkNYUSA
| | - Marcelo C. Batistuzzo
- Obsessive‐Compulsive Spectrum Disorders ProgramDepartmento de Psiquiatria da Faculdade de MedicinaLIM23Hospital Das Clinicas HCFMUSPUniversidade de São PauloSao PauloSPBrazil
- Department of Methods and Techniques in PsychologyPontifical Catholic UniversitySao PauloSPBrazil
| | - Marcelo Q. Hoexter
- Obsessive‐Compulsive Spectrum Disorders ProgramDepartmento de Psiquiatria da Faculdade de MedicinaLIM23Hospital Das Clinicas HCFMUSPUniversidade de São PauloSao PauloSPBrazil
| | - Christine Lochner
- Department of PsychiatrySAMRC Unit on Risk & Resilience in Mental DisordersStellenbosch UniversityCape TownSouth Africa
| | - Euripedes C. Miguel
- Obsessive‐Compulsive Spectrum Disorders ProgramDepartmento de Psiquiatria da Faculdade de MedicinaLIM23Hospital Das Clinicas HCFMUSPUniversidade de São PauloSao PauloSPBrazil
| | | | - Rashmi Rao
- National Institute of Mental Health & Neurosciences (NIMHANS)BangaloreIndia
| | | | - Roseli G. Shavitt
- Obsessive‐Compulsive Spectrum Disorders ProgramDepartmento de Psiquiatria da Faculdade de MedicinaLIM23Hospital Das Clinicas HCFMUSPUniversidade de São PauloSao PauloSPBrazil
| | | | - Dan J. Stein
- Department of PsychiatrySAMRC Unit on Risk & Resilience in Mental DisordersNeuroscience InstituteUniversity of Cape TownCape TownSouth Africa
| | - Anton J. L. M. van Balkom
- Department of PsychiatryAmsterdam UMCVrije UniversiteitAmsterdam Public Health Research InstituteSpecialised Mental Health CareAmsterdamThe Netherlands
| | - Melanie Wall
- Columbia University Irving Medical CenterColumbia UniversityNew York State Psychiatric InstituteNew YorkNYUSA
| | - Helen Blair Simpson
- Columbia University Irving Medical CenterColumbia UniversityNew York State Psychiatric InstituteNew YorkNYUSA
| | - Odile A. van den Heuvel
- Department of PsychiatryDepartment of Anatomy and NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdam NeuroscienceAmsterdamThe Netherlands
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3
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Hui SCN, Mikkelsen M, Zöllner HJ, Ahluwalia V, Alcauter S, Baltusis L, Barany DA, Barlow LR, Becker R, Berman JI, Berrington A, Bhattacharyya PK, Blicher JU, Bogner W, Brown MS, Calhoun VD, Castillo R, Cecil KM, Choi YB, Chu WCW, Clarke WT, Craven AR, Cuypers K, Dacko M, de la Fuente-Sandoval C, Desmond P, Domagalik A, Dumont J, Duncan NW, Dydak U, Dyke K, Edmondson DA, Ende G, Ersland L, Evans CJ, Fermin ASR, Ferretti A, Fillmer A, Gong T, Greenhouse I, Grist JT, Gu M, Harris AD, Hat K, Heba S, Heckova E, Hegarty JP, Heise KF, Honda S, Jacobson A, Jansen JFA, Jenkins CW, Johnston SJ, Juchem C, Kangarlu A, Kerr AB, Landheer K, Lange T, Lee P, Levendovszky SR, Limperopoulos C, Liu F, Lloyd W, Lythgoe DJ, Machizawa MG, MacMillan EL, Maddock RJ, Manzhurtsev AV, Martinez-Gudino ML, Miller JJ, Mirzakhanian H, Moreno-Ortega M, Mullins PG, Nakajima S, Near J, Noeske R, Nordhøy W, Oeltzschner G, Osorio-Duran R, Otaduy MCG, Pasaye EH, Peeters R, Peltier SJ, Pilatus U, Polomac N, Porges EC, Pradhan S, Prisciandaro JJ, Puts NA, Rae CD, Reyes-Madrigal F, Roberts TPL, Robertson CE, Rosenberg JT, Rotaru DG, O'Gorman Tuura RL, Saleh MG, Sandberg K, Sangill R, Schembri K, Schrantee A, Semenova NA, Singel D, Sitnikov R, Smith J, Song Y, Stark C, Stoffers D, Swinnen SP, Tain R, Tanase C, Tapper S, Tegenthoff M, Thiel T, Thioux M, Truong P, van Dijk P, Vella N, Vidyasagar R, Vovk A, Wang G, Westlye LT, Wilbur TK, Willoughby WR, Wilson M, Wittsack HJ, Woods AJ, Wu YC, Xu J, Lopez MY, Yeung DKW, Zhao Q, Zhou X, Zupan G, Edden RAE. Frequency drift in MR spectroscopy at 3T. Neuroimage 2021; 241:118430. [PMID: 34314848 PMCID: PMC8456751 DOI: 10.1016/j.neuroimage.2021.118430] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 06/18/2021] [Accepted: 07/22/2021] [Indexed: 11/17/2022] Open
Abstract
PURPOSE Heating of gradient coils and passive shim components is a common cause of instability in the B0 field, especially when gradient intensive sequences are used. The aim of the study was to set a benchmark for typical drift encountered during MR spectroscopy (MRS) to assess the need for real-time field-frequency locking on MRI scanners by comparing field drift data from a large number of sites. METHOD A standardized protocol was developed for 80 participating sites using 99 3T MR scanners from 3 major vendors. Phantom water signals were acquired before and after an EPI sequence. The protocol consisted of: minimal preparatory imaging; a short pre-fMRI PRESS; a ten-minute fMRI acquisition; and a long post-fMRI PRESS acquisition. Both pre- and post-fMRI PRESS were non-water suppressed. Real-time frequency stabilization/adjustment was switched off when appropriate. Sixty scanners repeated the protocol for a second dataset. In addition, a three-hour post-fMRI MRS acquisition was performed at one site to observe change of gradient temperature and drift rate. Spectral analysis was performed using MATLAB. Frequency drift in pre-fMRI PRESS data were compared with the first 5:20 minutes and the full 30:00 minutes of data after fMRI. Median (interquartile range) drifts were measured and showed in violin plot. Paired t-tests were performed to compare frequency drift pre- and post-fMRI. A simulated in vivo spectrum was generated using FID-A to visualize the effect of the observed frequency drifts. The simulated spectrum was convolved with the frequency trace for the most extreme cases. Impacts of frequency drifts on NAA and GABA were also simulated as a function of linear drift. Data from the repeated protocol were compared with the corresponding first dataset using Pearson's and intraclass correlation coefficients (ICC). RESULTS Of the data collected from 99 scanners, 4 were excluded due to various reasons. Thus, data from 95 scanners were ultimately analyzed. For the first 5:20 min (64 transients), median (interquartile range) drift was 0.44 (1.29) Hz before fMRI and 0.83 (1.29) Hz after. This increased to 3.15 (4.02) Hz for the full 30 min (360 transients) run. Average drift rates were 0.29 Hz/min before fMRI and 0.43 Hz/min after. Paired t-tests indicated that drift increased after fMRI, as expected (p < 0.05). Simulated spectra convolved with the frequency drift showed that the intensity of the NAA singlet was reduced by up to 26%, 44 % and 18% for GE, Philips and Siemens scanners after fMRI, respectively. ICCs indicated good agreement between datasets acquired on separate days. The single site long acquisition showed drift rate was reduced to 0.03 Hz/min approximately three hours after fMRI. DISCUSSION This study analyzed frequency drift data from 95 3T MRI scanners. Median levels of drift were relatively low (5-min average under 1 Hz), but the most extreme cases suffered from higher levels of drift. The extent of drift varied across scanners which both linear and nonlinear drifts were observed.
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Affiliation(s)
- Steve C N Hui
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Mark Mikkelsen
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Helge J Zöllner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Vishwadeep Ahluwalia
- GSU/GT Center for Advanced Brain Imaging, Georgia Institute of Technology, Atlanta, GA USA
| | - Sarael Alcauter
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Queretaro, Mexico
| | - Laima Baltusis
- Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA USA
| | - Deborah A Barany
- Department of Kinesiology, University of Georgia, and Augusta University/University of Georgia Medical Partnership, Athens, GA USA
| | - Laura R Barlow
- Department of Radiology, Faculty of Medicine, The University of British Columbia, Vancouver, Canada
| | - Robert Becker
- Center for Innovative Psychiatry and Psychotherapy Research, Department Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jeffrey I Berman
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA USA
| | - Adam Berrington
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | | | - Jakob Udby Blicher
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
| | - Wolfgang Bogner
- Department of Biomedical Imaging and Image-guided Therapy, High-Field MR Center, Medical University of Vienna, Vienna, Austria
| | - Mark S Brown
- Department of Radiology, Medical Physics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - 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, Atlanta, GA USA
| | - Ryan Castillo
- NeuRA Imaging, Neuroscience Research Australia, Randwick, Australia
| | - Kim M Cecil
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH USA
| | - Yeo Bi Choi
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH USA
| | - Winnie C W Chu
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
| | - William T Clarke
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Alexander R Craven
- Department of Biological and Medical Psychology, University of Bergen, Haukeland University Hospital, Bergen, Norway
| | - Koen Cuypers
- REVAL Rehabilitation Research Institute (REVAL), Hasselt University, Diepenbeek, Belgium; Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Michael Dacko
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Camilo de la Fuente-Sandoval
- Laboratory of Experimental Psychiatry & Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Patricia Desmond
- Department of Radiology, University of Melbourne/ Royal Melbourne Hospital, Melbourne, Australia
| | - Aleksandra Domagalik
- Brain Imaging Core Facility, Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland
| | - Julien Dumont
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, F-59000 Lille, France
| | - Niall W Duncan
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
| | - Ulrike Dydak
- School of Health Sciences, Purdue University, West Lafayette, IN USA
| | - Katherine Dyke
- School of Psychology, University of Nottingham, Nottingham, UK
| | - David A Edmondson
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH USA
| | - Gabriele Ende
- Center for Innovative Psychiatry and Psychotherapy Research, Department Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lars Ersland
- Department of Clinical Engineering, University of Bergen, Haukeland University Hospital, Bergen, Norway
| | | | - Alan S R Fermin
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Antonio Ferretti
- Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy
| | - Ariane Fillmer
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany
| | - Tao Gong
- Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China
| | - Ian Greenhouse
- Department of Human Physiology, University of Oregon, Eugene, OR USA
| | - James T Grist
- Department of Physiology, Anatomy, and Genetics, Oxford Centre for Magnetic Resonance / Department of Radiology, The Churchill Hospital, The University of Oxford, Oxford, UK
| | - Meng Gu
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Ashley D Harris
- Department of Radiology, University of Calgary, Calgary, Canada
| | - Katarzyna Hat
- Consciousness Lab, Institute of Psychology, Jagiellonian University, Kraków, Poland
| | - Stefanie Heba
- Department of Neurology, BG University Hospital Bergmannsheil, Bochum, Germany
| | - Eva Heckova
- Department of Biomedical Imaging and Image-guided Therapy, High-Field MR Center, Medical University of Vienna, Vienna, Austria
| | - John P Hegarty
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
| | | | - Shiori Honda
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Aaron Jacobson
- Department of Radiology / Psychiatry, University of California San Diego, San Diego, CA USA
| | - Jacobus F A Jansen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Stephen J Johnston
- Psychology Department / Clinical Imaging Facility, Swansea University, Swansea, UK
| | - Christoph Juchem
- Departments of Biomedical Engineering and Radiology, Columbia University, New York, NY USA
| | - Alayar Kangarlu
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, NY USA
| | - Adam B Kerr
- Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA USA
| | - Karl Landheer
- Departments of Biomedical Engineering and Radiology, Columbia University, New York, NY USA
| | - Thomas Lange
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Phil Lee
- Department of Radiology / Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS USA
| | | | - Catherine Limperopoulos
- Developing Brain Institute, Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC USA
| | - Feng Liu
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, NY USA
| | - William Lloyd
- Division of Informatics, Imaging & Data Sciences, University of Manchester, Manchester, UK
| | - David J Lythgoe
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Maro G Machizawa
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Erin L MacMillan
- Department of Radiology, Faculty of Medicine, The University of British Columbia, Vancouver, Canada; Philips Canada, Markham, ON, Canada
| | - Richard J Maddock
- Department of Psychiatry and Behavioral Sciences, University of California Davis, Imaging Research Center, Davis, CA USA
| | - Andrei V Manzhurtsev
- Department of Radiology, Clinical and Research Institute of Emergency Pediatric Surgery and Trauma, Moscow, Russia; Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow, Russia
| | - María L Martinez-Gudino
- Departamento de Imágenes Cerebrales, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Jack J Miller
- Department of Physics, University of Oxford, Oxford, UK; The MR Research Centre & The PET Research Centre, Aarhus University, Aarhus, DK
| | - Heline Mirzakhanian
- Department of Radiology / Psychiatry, University of California San Diego, San Diego, CA USA
| | - Marta Moreno-Ortega
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, NY USA
| | - Paul G Mullins
- Bangor Imaging Unit, Department of Psychology, Bangor University, Bangor, Wales, UK
| | - Shinichiro Nakajima
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Jamie Near
- Douglas Mental Health University Institute and Department of Psychiatry, McGill University, Montreal, Canada
| | | | - Wibeke Nordhøy
- NORMENT, Division of Mental Health and Addiction and Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital / Department of Psychology, University of Oslo, Oslo, Norway
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Raul Osorio-Duran
- Departamento de Imágenes Cerebrales, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Maria C G Otaduy
- LIM44, Instituto e Departamento de Radiologia, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Erick H Pasaye
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Queretaro, Mexico
| | - Ronald Peeters
- Department of Imaging & Pathology, Department of Radiology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Scott J Peltier
- Functional MRI Laboratory, University of Michigan, Ann Arbor, MI USA
| | - Ulrich Pilatus
- Institute of Neuroradiology, Goethe-University Frankfurt, Frankfurt, Germany
| | - Nenad Polomac
- Institute of Neuroradiology, Goethe-University Frankfurt, Frankfurt, Germany
| | - Eric C Porges
- Center for Cognitive Aging and Memory, McKnight Brain Institute, Department of Clinical and Health Psychology, College of Public Health and Health Professions. Department of Neuroscience, College of Medicine, University of Florida, Gainesville, USA
| | - Subechhya Pradhan
- Developing Brain Institute, Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC USA
| | - James Joseph Prisciandaro
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC USA
| | - Nicolaas A Puts
- Department of Forensic & Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, King's College London, London, UK
| | - Caroline D Rae
- NeuRA Imaging, Neuroscience Research Australia, Randwick, Australia
| | - Francisco Reyes-Madrigal
- Laboratory of Experimental Psychiatry & Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Timothy P L Roberts
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA USA
| | - Caroline E Robertson
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH USA
| | - Jens T Rosenberg
- McKnight Brain Institute, AMRIS, University of Florida, Gainesville, FL USA
| | - Diana-Georgiana Rotaru
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ruth L O'Gorman Tuura
- Center for MR Research, University Children's Hospital, Zurich, University of Zurich, Switzerland
| | - Muhammad G Saleh
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA
| | - Kristian Sandberg
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
| | - Ryan Sangill
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
| | | | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Natalia A Semenova
- Department of Radiology, Clinical and Research Institute of Emergency Pediatric Surgery and Trauma, Moscow, Russia; Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow, Russia
| | - Debra Singel
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Rouslan Sitnikov
- Clinical Neuroscience, MRI Centre, Karolinska Institute, Stockholm, Sweden
| | - Jolinda Smith
- Lewis Center for Neuroimaging, University of Oregon, Eugene, OR USA
| | - Yulu Song
- Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China
| | - Craig Stark
- Department of Neurobiology and Behavior, Facility for Imaging and Brain Research (FIBRE) & Campus Center for Neuroimaging (CCNI), School of Biological Sciences, University of California, Irvine, Irvine, CA USA
| | - Diederick Stoffers
- Spinoza Centre for Neuroimaging, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | | | - Rongwen Tain
- Department of Neurobiology and Behavior, Facility for Imaging and Brain Research (FIBRE) & Campus Center for Neuroimaging (CCNI), School of Biological Sciences, University of California, Irvine, Irvine, CA USA
| | - Costin Tanase
- Department of Psychiatry and Behavioral Sciences, University of California Davis, Imaging Research Center, Davis, CA USA
| | - Sofie Tapper
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Martin Tegenthoff
- Department of Neurology, BG University Hospital Bergmannsheil, Bochum, Germany
| | - Thomas Thiel
- Institute of Clinical Neuroscience and Medical Psychology, University Dusseldorf, Medical Faculty, Düsseldorf, Germany
| | - Marc Thioux
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Peter Truong
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Canada
| | - Pim van Dijk
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Nolan Vella
- Medical Physics, Mater Dei Hospital, Imsida, Malta
| | - Rishma Vidyasagar
- Melbourne Dementia Research Centre, Florey Institute of Neurosciences and Mental Health, Melbourne, Australia
| | - Andrej Vovk
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Guangbin Wang
- Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction and Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital / Department of Psychology, University of Oslo, Oslo, Norway
| | - Timothy K Wilbur
- Department of Radiology, University of Washington, Seattle, WA USA
| | - William R Willoughby
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Martin Wilson
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK
| | - Hans-Jörg Wittsack
- Department of Diagnostic and Interventional Radiology, University Düsseldorf, Medical Faculty, Düsseldorf, Germany
| | - Adam J Woods
- Center for Cognitive Aging and Memory, McKnight Brain Institute, Department of Clinical and Health Psychology, College of Public Health and Health Professions. Department of Neuroscience, College of Medicine, University of Florida, Gainesville, USA
| | - Yen-Chien Wu
- Department of Radiology, TMU-Shuang Ho Hospital, New Taipei City, Taiwan
| | - Junqian Xu
- Department of Radiology and Psychiatry, Baylor College of Medicine, Houston, USA
| | | | - David K W Yeung
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
| | - Qun Zhao
- Bioimaging Research Center, Department of Physics and Astronomy, University of Georgia, Athens, GA USA
| | - Xiaopeng Zhou
- School of Health Sciences, Purdue University, West Lafayette, IN USA
| | - Gasper Zupan
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
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4
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Maziero MP, Seitz-Holland J, Cho KIK, Goldenberg JE, Tanamatis TW, Diniz JB, Cappi C, Alice de Mathis M, Otaduy MCG, da Graça Morais Martin M, de Melo Felipe da Silva R, Shavitt RG, Batistuzzo MC, Lopes AC, Miguel EC, Pasternak O, Hoexter MQ. Cellular and Extracellular White Matter Abnormalities in Obsessive-Compulsive Disorder: A Diffusion Magnetic Resonance Imaging Study. Biol Psychiatry Cogn Neurosci Neuroimaging 2021; 6:983-991. [PMID: 33862255 DOI: 10.1016/j.bpsc.2021.04.001] [Citation(s) in RCA: 3] [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] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 03/17/2021] [Accepted: 04/02/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND While previous studies have implicated white matter (WM) as a core pathology of obsessive-compulsive disorder (OCD), the underlying neurobiological processes remain elusive. This study used free-water (FW) imaging derived from diffusion magnetic resonance imaging to identify cellular and extracellular WM abnormalities in patients with OCD compared with control subjects. Next, we investigated the association between diffusion measures and clinical variables in patients. METHODS We collected diffusion-weighted magnetic resonance imaging and clinical data from 83 patients with OCD (56 women/27 men, age 37.7 ± 10.6 years) and 52 control subjects (27 women/25 men, age 32.8 ± 11.5 years). Fractional anisotropy (FA), FA of cellular tissue, and extracellular FW maps were extracted and compared between patients and control subjects using tract-based spatial statistics and voxelwise comparison in FSL Randomise. Next, we correlated these WM measures with clinical variables (age of onset and symptom severity) and compared them between patients with and without comorbidities and patients with and without psychiatric medication. RESULTS Patients with OCD demonstrated lower FA (43.4% of the WM skeleton), lower FA of cellular tissue (31% of the WM skeleton), and higher FW (22.5% of the WM skeleton) compared with control subjects. We did not observe significant correlations between diffusion measures and clinical variables. Comorbidities and medication status did not influence diffusion measures. CONCLUSIONS Our findings of widespread FA, FA of cellular tissue, and FW abnormalities suggest that OCD is associated with microstructural cellular and extracellular abnormalities beyond the corticostriatothalamocortical circuits. Future multimodal longitudinal studies are needed to understand better the influence of essential clinical variables across the illness trajectory.
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Affiliation(s)
- Maria Paula Maziero
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil; Faculty of Medicine, City University of São Paulo, São Paulo, Brazil.
| | - Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Kang Ik K Cho
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Joshua E Goldenberg
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Taís W Tanamatis
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Juliana B Diniz
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Carolina Cappi
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Maria Alice de Mathis
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Maria C G Otaduy
- Laboratório de Investigações Médicas 44, Instituto de Radiologia, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Maria da Graça Morais Martin
- Laboratório de Investigações Médicas 44, Instituto de Radiologia, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Renata de Melo Felipe da Silva
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Roseli G Shavitt
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Marcelo C Batistuzzo
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil; Department of Methods and Techniques in Psychology, Humanities and Health Sciences School, Pontifical Catholic University of São Paulo, São Paulo, Brazil
| | - Antonio C Lopes
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Eurípedes C Miguel
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Marcelo Q Hoexter
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
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5
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Haukvik UK, Gurholt TP, Nerland S, Elvsåshagen T, Akudjedu TN, Alda M, Alnæs D, Alonso‐Lana S, Bauer J, Baune BT, Benedetti F, Berk M, Bettella F, Bøen E, Bonnín CM, Brambilla P, Canales‐Rodríguez EJ, Cannon DM, Caseras X, Dandash O, Dannlowski U, Delvecchio G, Díaz‐Zuluaga AM, Erp TGM, Fatjó‐Vilas M, Foley SF, Förster K, Fullerton JM, Goikolea JM, Grotegerd D, Gruber O, Haarman BCM, Haatveit B, Hajek T, Hallahan B, Harris M, Hawkins EL, Howells FM, Hülsmann C, Jahanshad N, Jørgensen KN, Kircher T, Krämer B, Krug A, Kuplicki R, Lagerberg TV, Lancaster TM, Lenroot RK, Lonning V, López‐Jaramillo C, Malt UF, McDonald C, McIntosh AM, McPhilemy G, Meer D, Melle I, Melloni EMT, Mitchell PB, Nabulsi L, Nenadić I, Oertel V, Oldani L, Opel N, Otaduy MCG, Overs BJ, Pineda‐Zapata JA, Pomarol‐Clotet E, Radua J, Rauer L, Redlich R, Repple J, Rive MM, Roberts G, Ruhe HG, Salminen LE, Salvador R, Sarró S, Savitz J, Schene AH, Sim K, Soeiro‐de‐Souza MG, Stäblein M, Stein DJ, Stein F, Tamnes CK, Temmingh HS, Thomopoulos SI, Veltman DJ, Vieta E, Waltemate L, Westlye LT, Whalley HC, Sämann PG, Thompson PM, Ching CRK, Andreassen OA, Agartz I. In vivo hippocampal subfield volumes in bipolar disorder—A mega‐analysis from The Enhancing Neuro Imaging Genetics through
Meta‐Analysis
Bipolar Disorder Working Group. Hum Brain Mapp 2020; 43:385-398. [PMID: 33073925 PMCID: PMC8675404 DOI: 10.1002/hbm.25249] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [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: 05/13/2020] [Revised: 09/18/2020] [Accepted: 10/06/2020] [Indexed: 01/02/2023] Open
Abstract
The hippocampus consists of anatomically and functionally distinct subfields that may be differentially involved in the pathophysiology of bipolar disorder (BD). Here we, the Enhancing NeuroImaging Genetics through Meta‐Analysis Bipolar Disorder workinggroup, study hippocampal subfield volumetry in BD. T1‐weighted magnetic resonance imaging scans from 4,698 individuals (BD = 1,472, healthy controls [HC] = 3,226) from 23 sites worldwide were processed with FreeSurfer. We used linear mixed‐effects models and mega‐analysis to investigate differences in hippocampal subfield volumes between BD and HC, followed by analyses of clinical characteristics and medication use. BD showed significantly smaller volumes of the whole hippocampus (Cohen's d = −0.20), cornu ammonis (CA)1 (d = −0.18), CA2/3 (d = −0.11), CA4 (d = −0.19), molecular layer (d = −0.21), granule cell layer of dentate gyrus (d = −0.21), hippocampal tail (d = −0.10), subiculum (d = −0.15), presubiculum (d = −0.18), and hippocampal amygdala transition area (d = −0.17) compared to HC. Lithium users did not show volume differences compared to HC, while non‐users did. Antipsychotics or antiepileptic use was associated with smaller volumes. In this largest study of hippocampal subfields in BD to date, we show widespread reductions in nine of 12 subfields studied. The associations were modulated by medication use and specifically the lack of differences between lithium users and HC supports a possible protective role of lithium in BD.
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Affiliation(s)
- Unn K. Haukvik
- Department of Adult Mental Health Institute of Clinical Medicine, University of Oslo Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
| | - Tiril P. Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
| | - Stener Nerland
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Department of Neurology Oslo University Hospital Oslo Norway
- Institute of Clinical Medicine University of Oslo Oslo Norway
| | - Theophilus N. Akudjedu
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
- Institute of Medical Imaging & Visualisation Faculty of Health & Social Sciences, Bournemouth University Bournemouth UK
| | - Martin Alda
- Department of Psychiatry Dalhousie University Halifax Nova Scotia Canada
- National Institute of Mental Health Klecany Czech Republic
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
| | - Silvia Alonso‐Lana
- FIDMAG Germanes Hospitalàries Research Foundation CIBERSAM Barcelona Spain
| | - Jochen Bauer
- Institute of Clinical Radiology University of Münster Münster Germany
| | - Bernhard T. Baune
- Department of Psychiatry University of Münster Münster Germany
- Department of Psychiatry Melbourne Medical School, The University of Melbourne Melbourne Australia
- The Florey Institute of Neuroscience and Mental Health The University of Melbourne Parkville Australia
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology Scientific Institute Ospedale San Raffaele Milan Italy
- University Vita‐Salute San Raffaele Milan Italy
| | - Michael Berk
- Deakin University IMPACT, the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health Geelong Victoria Australia
- Orygen, The National Centre of Excellence in Youth Mental Health and Centre for Youth Mental Health, the Department of Psychiatry and the Florey Institute for Neuroscience and Mental Health The University of Melbourne Melbourne Victoria Australia
| | - Francesco Bettella
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
| | - Erlend Bøen
- Psychosomatic and CL Psychiatry Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
| | - Caterina M. Bonnín
- Barcelona Bipolar Disorders and Depressive Unit Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM Barcelona Spain
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milan Italy
- Department of Pathophysiology and Transplantation University of Milan Milan Italy
| | | | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Department of Psychological Medicine and Clinical Neurosciences Cardiff University Cardiff UK
| | - Orwa Dandash
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences Monash University Clayton Victoria Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry University of Melbourne and Melbourne Health Melbourne Victoria Australia
| | - Udo Dannlowski
- Department of Psychiatry University of Münster Münster Germany
| | - Giuseppe Delvecchio
- Department of Pathophysiology and Transplantation University of Milan Milan Italy
| | - Ana M. Díaz‐Zuluaga
- Research Group in Psychiatry, Department of Psychiatry Faculty of Medicine, Universidad de Antioquia Medellín Antioquia Colombia
| | - Theo G. M. Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior University of California Irvine Irvine California USA
- Center for the Neurobiology of Learning University of California Irvine and Memory Irvine California USA
| | - Mar Fatjó‐Vilas
- FIDMAG Germanes Hospitalàries Research Foundation CIBERSAM Barcelona Spain
| | - Sonya F. Foley
- Cardiff University Brain Research Imaging Centre (CUBRIC) Cardiff University Cardiff UK
| | | | - Janice M. Fullerton
- Neuroscience Research Australia Randwick New South Wales Australia
- School of Medical Sciences The University of New South Wales Sydney New South Wales Australia
| | - José M. Goikolea
- Barcelona Bipolar Disorders and Depressive Unit Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM Barcelona Spain
| | | | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry Heidelberg University Hospital Heidelberg Germany
| | - Bartholomeus C. M. Haarman
- Department of Psychiatry University Medical Center Groningen, University of Groningen Groningen The Netherlands
| | - Beathe Haatveit
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
| | - Tomas Hajek
- Department of Psychiatry Dalhousie University Halifax Nova Scotia Canada
- National Institute of Mental Health Klecany Czech Republic
| | - Brian Hallahan
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | - Mathew Harris
- Division of Psychiatry University of Edinburgh Edinburgh UK
| | | | - Fleur M. Howells
- Department of Psychiatry and Mental Health University of Cape Town Cape Town Western Cape South Africa
- Neuroscience Institute University of Cape Town Cape Town Western Cape South Africa
| | - Carina Hülsmann
- Department of Psychiatry University of Münster Münster Germany
| | - Neda Jahanshad
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Kjetil N. Jørgensen
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy Philipps‐University Marburg Marburg Germany
- Center for Mind Brain and Behavior (CMBB) Marburg Germany
| | - Bernd Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry Heidelberg University Hospital Heidelberg Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy Philipps‐University Marburg Marburg Germany
- Center for Mind Brain and Behavior (CMBB) Marburg Germany
- Department of Psychiatry and Psychotherapy University of Bonn Bonn Germany
| | - Rayus Kuplicki
- Laureate Institute for Brain Research Tulsa Oklahoma USA
| | - Trine V. Lagerberg
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
| | - Thomas M. Lancaster
- Cardiff University Brain Research Imaging Centre (CUBRIC) Cardiff University Cardiff UK
- School of Psychology Bath University Bath UK
| | - Rhoshel K. Lenroot
- Neuroscience Research Australia Randwick New South Wales Australia
- School of Psychiatry University of New South Wales Sydney New South Wales Australia
- University of New Mexico Albuquerque New Mexico USA
| | - Vera Lonning
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
| | - Carlos López‐Jaramillo
- Research Group in Psychiatry, Department of Psychiatry Faculty of Medicine, Universidad de Antioquia Medellín Antioquia Colombia
- Mood Disorders Program Hospital Universitario San Vicente Fundación Medellín Antioquia Colombia
| | - Ulrik F. Malt
- Institute of Clinical Medicine University of Oslo Oslo Norway
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | | | - Genevieve McPhilemy
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | - Dennis Meer
- Norwegian Centre for Mental Disorders Research (NORMENT) 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 The Netherlands
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
| | - Elisa M. T. Melloni
- Psychiatry and Clinical Psychobiology Scientific Institute Ospedale San Raffaele Milan Italy
- University Vita‐Salute San Raffaele Milan Italy
| | - Philip B. Mitchell
- School of Psychiatry University of New South Wales Sydney New South Wales Australia
- Black Dog Institute Sydney New South Wales Australia
| | - Leila Nabulsi
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy Philipps‐University Marburg Marburg Germany
- Center for Mind Brain and Behavior (CMBB) Marburg Germany
| | - Viola Oertel
- Department of Psychiatry Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt Frankfurt am Main Germany
| | - Lucio Oldani
- Department of Neurosciences and Mental Health Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milan Italy
| | - Nils Opel
- Department of Psychiatry University of Münster Münster Germany
| | - Maria C. G. Otaduy
- LIM44, Department of Radiology and Oncology University of São Paulo São Paulo Brazil
| | - Bronwyn J. Overs
- Neuroscience Research Australia Randwick New South Wales Australia
| | - Julian A. Pineda‐Zapata
- Research Group in Psychiatry, Department of Psychiatry Faculty of Medicine, Universidad de Antioquia Medellín Antioquia Colombia
- Research Group Instituto de Alta Tecnología Médica Medellín Antioquia Colombia
| | | | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM Barcelona Spain
- Department of Psychosis Studies Institute of Psychiatry, Psychology and Neuroscience, King's College London London UK
- Department of Clinical Neuroscience Centre for Psychiatry Research, Karolinska Institutet Stockholm Sweden
| | - Lisa Rauer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry Heidelberg University Hospital Heidelberg Germany
| | - Ronny Redlich
- Department of Psychiatry University of Münster Münster Germany
| | - Jonathan Repple
- Department of Psychiatry University of Münster Münster Germany
| | - Maria M. Rive
- Psychiatry Amsterdam UMC, Location AMC Amsterdam The Netherlands
| | - Gloria Roberts
- School of Psychiatry University of New South Wales Sydney New South Wales Australia
- Black Dog Institute Sydney New South Wales Australia
| | - Henricus G. Ruhe
- Psychiatry Amsterdam UMC, Location AMC Amsterdam The Netherlands
- Donders Institute for Brain, Cognition and Behavior Radboud University Nijmegen The Netherlands
- Department of Psychiatry Radboudumc Nijmegen The Netherlands
| | - Lauren E. Salminen
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation CIBERSAM Barcelona Spain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation CIBERSAM Barcelona Spain
| | - Jonathan Savitz
- Laureate Institute for Brain Research Tulsa Oklahoma USA
- Oxley College of Health Sciences The University of Tulsa Tulsa Oklahoma USA
| | - Aart H. Schene
- Donders Institute for Brain, Cognition and Behavior Radboud University Nijmegen The Netherlands
- Department of Psychiatry Radboudumc Nijmegen The Netherlands
| | - Kang Sim
- West Region/Institute of Mental Health Singapore Singapore
- Yong Loo Lin School of Medicine/National University of Singapore Singapore Singapore
- Lee Kong Chian School of Medicine/Nanyang Technological University Singapore Singapore
| | | | - Michael Stäblein
- Department of Psychiatry Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt Frankfurt am Main Germany
| | - Dan J. Stein
- Department of Psychiatry and Mental Health University of Cape Town Cape Town Western Cape South Africa
- Neuroscience Institute University of Cape Town Cape Town Western Cape South Africa
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute University of Cape Town Cape Town Western Cape South Africa
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy Philipps‐University Marburg Marburg Germany
- Center for Mind Brain and Behavior (CMBB) Marburg Germany
| | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
- PROMENTA Research Center, Department of Psychology University of Oslo Oslo Norway
| | - Henk S. Temmingh
- Department of Psychiatry and Mental Health University of Cape Town Cape Town Western Cape South Africa
- General Adult Psychiatry Division Valkenberg Hospital Cape Town Western Cape South Africa
| | - Sophia I. Thomopoulos
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Dick J. Veltman
- Department of Psychiatry Amsterdam UMC, Location VUMC Amsterdam The Netherlands
- Amsterdam Neuroscience Amsterdam UMC Amsterdam The Netherlands
| | - Eduard Vieta
- Hospital Clinic University of Barcelona, IDIBAPS, CIBERSAM Barcelona Catalonia Spain
| | - Lena Waltemate
- Department of Psychiatry University of Münster Münster Germany
| | - Lars T. Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Department of Psychology University of Oslo Oslo Norway
| | | | | | - Paul M. Thompson
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Christopher R. K. Ching
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
- Department of Clinical Neuroscience Centre for Psychiatric Research, Karolinska Institutet Stockholm Sweden
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Garcia MM, Chaim KT, Otaduy MCG, Rennings A, Erni D, Vatanchi M, Zylka W. Investigating the influence of dielectric pads in 7T magnetic resonance imaging – simulated and experimental assessment. Current Directions in Biomedical Engineering 2020. [DOI: 10.1515/cdbme-2020-3007] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Dipole radiofrequency (RF) elements have been successfully used to compose multi-channel RF coils for ultrahigh fields (UHF) magnetic resonance imaging (MRI). As magnetic components of RF fields (B1) can be very inhomogeneous at UHF (B0≥7T), dielectric pads with high dielectric constants were proposed to improve the B1 efficiency and homogeneity [1]. Dielectric pads can be used as a passive B1 shimmimg technique thanks to inducing a strong secondary magnetic field in their vicinity. The use of such dielectric pads affect not only the B1 field but also the electric field. This in turn affects the specific absorption rate (SAR) and consequently the temperature distribution inside the patient’s body. To study these effects, a 29 cm-long transmission dipole RF coil element terminated by two meander was used for 7T MRI [2]. Using a cylindrical agarose-gel phantom, numerical and experimental results were analyzed with respect to homogeneity and amplitude of the magnetic and electric fields generated by the RF element in various configurations with and without dielectric pads. Calculated and measured B1 results were cross-checked and found to be in good agreement. When using dielectric pads B1 homogeneity and magnitude increase in regions where it was previously weak or insufficient. Calculations suggest that SAR distribution will change when using the pads.
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Affiliation(s)
- Maíra M. Garcia
- General and Theoretical Electrical Engineering (ATE), University of Duisburg-Essen, Duisburg , Germany
- CENIDE – Center of Nanointegration Duisburg-Essen, D-47048 Duisburg , Germany
- Faculty of Electrical Engineering and Applied Natural Sciences, Westphalian University, Campus Gelsenkirchen , Germany
| | - Khallil T. Chaim
- Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo , SP, Brazil
| | - Maria C. G. Otaduy
- LIM44, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo , SP, Brazil
| | - Andreas Rennings
- General and Theoretical Electrical Engineering (ATE), University of Duisburg-Essen, and CENIDE – Center of Nanointegration Duisburg-Essen, D-47048 Duisburg , Germany
| | - Daniel Erni
- General and Theoretical Electrical Engineering (ATE), University of Duisburg-Essen, and CENIDE – Center of Nanointegration Duisburg-Essen, D-47048 Duisburg , Germany
| | - Maryam Vatanchi
- Faculty of Electrical Engineering and Applied Natural Sciences, Westphalian University, Campus Gelsenkirchen , Germany
| | - Waldemar Zylka
- Faculty of Electrical Engineering and Applied Natural Sciences, Westphalian University, Campus Gelsenkirchen , Germany
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7
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Garcia MM, Oliveira TR, Papoti D, Chaim KT, Otaduy MCG, Erni D, Zylka W. Experimental and numerical investigations of a small animal coil for ultra-high field magnetic resonance imaging (7T). Current Directions in Biomedical Engineering 2019. [DOI: 10.1515/cdbme-2019-0132] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
The purpose of this work was to develop and investigate a radiofrequency (RF) coil to perform image studies on small animals using the 7T magnetic resonance imaging (MRI) system, installed in the imaging platform in the autopsy room (Portuguese acronym PISA), at the University of Sao Paulo, Brazil, which is the unique 7T MRI scanner installed in South America. Due to a high demand to create new specific coils for this 7T system, it is necessary to carefully assess the distribution of electromagnetic (EM) fields generated by the coils and evaluate the patient/object safety during MRI procedures. To achieve this goal 3D numerical methods were used to design and analyse a 8-rungs transmit/receive linearly driven birdcage coil for small animals. Calculated magnetic field (B1) distributions generated by the coil were crosschecked with measured results, indicating good confidence in the simulated results. Electric field results were post-processed and predictions of local specific absorption rate (SAR) values were achieved for a spherical phantom filled with muscle-like tissue, indicating that the sample would not suffer any unsafe deposition of energy. Post mortem abdomen images obtained from a rat presented good image quality and no artifacts related to field non-homogeneity were observed.
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Affiliation(s)
- Maíra M. Garcia
- Faculty of Electrical Engineering and Applied Natural Sciences, Westphalian University, Neidenburger Straße 43, Campus Gelsenkirchen , Germany
- General and Theoretical Electrical Engineering (ATE), Faculty of Engineering, University of Duisburg-Essen, Bismarck Straße 81, Campus Duisburg , Germany
| | - Tiago R. Oliveira
- Department of Biomedical Engineering, Federal University of ABC, Campus Sao Bernardo do Campo , Brazil
| | - Daniel Papoti
- Department of Biomedical Engineering, Federal University of ABC, Campus Sao Bernardo do Campo , Brazil
| | - Khallil T. Chaim
- Department and Institute of Radiology, University of Sao Paulo, Campus Sao Paulo , Brazil
| | - Maria C. G. Otaduy
- Department and Institute of Radiology, University of Sao Paulo, Campus Sao Paulo , Brazil
| | - Daniel Erni
- General and Theoretical Electrical Engineering (ATE), Faculty of Engineering, University of Duisburg-Essen, and CENIDE – Center for Nanointegration Duisburg-Essen, Duisburg , Germany
| | - Waldemar Zylka
- Faculty of Electrical Engineering and Applied Natural Sciences, Westphalian University, Campus Gelsenkirchen , Germany
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8
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Betts MJ, Kirilina E, Otaduy MCG, Ivanov D, Acosta-Cabronero J, Callaghan MF, Lambert C, Cardenas-Blanco A, Pine K, Passamonti L, Loane C, Keuken MC, Trujillo P, Lüsebrink F, Mattern H, Liu KY, Priovoulos N, Fliessbach K, Dahl MJ, Maaß A, Madelung CF, Meder D, Ehrenberg AJ, Speck O, Weiskopf N, Dolan R, Inglis B, Tosun D, Morawski M, Zucca FA, Siebner HR, Mather M, Uludag K, Heinsen H, Poser BA, Howard R, Zecca L, Rowe JB, Grinberg LT, Jacobs HIL, Düzel E, Hämmerer D. Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases. Brain 2019; 142:2558-2571. [PMID: 31327002 PMCID: PMC6736046 DOI: 10.1093/brain/awz193] [Citation(s) in RCA: 179] [Impact Index Per Article: 35.8] [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: 02/22/2019] [Revised: 04/12/2019] [Accepted: 05/01/2019] [Indexed: 12/20/2022] Open
Abstract
Pathological alterations to the locus coeruleus, the major source of noradrenaline in the brain, are histologically evident in early stages of neurodegenerative diseases. Novel MRI approaches now provide an opportunity to quantify structural features of the locus coeruleus in vivo during disease progression. In combination with neuropathological biomarkers, in vivo locus coeruleus imaging could help to understand the contribution of locus coeruleus neurodegeneration to clinical and pathological manifestations in Alzheimer's disease, atypical neurodegenerative dementias and Parkinson's disease. Moreover, as the functional sensitivity of the noradrenergic system is likely to change with disease progression, in vivo measures of locus coeruleus integrity could provide new pathophysiological insights into cognitive and behavioural symptoms. Locus coeruleus imaging also holds the promise to stratify patients into clinical trials according to noradrenergic dysfunction. In this article, we present a consensus on how non-invasive in vivo assessment of locus coeruleus integrity can be used for clinical research in neurodegenerative diseases. We outline the next steps for in vivo, post-mortem and clinical studies that can lay the groundwork to evaluate the potential of locus coeruleus imaging as a biomarker for neurodegenerative diseases.
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Affiliation(s)
- Matthew J Betts
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Evgeniya Kirilina
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Center for Cognitive Neuroscience, Free University Berlin, Berlin, Germany
| | - Maria C G Otaduy
- Laboratory of Magnetic Resonance LIM44, Department and Institute of Radiology, Medical School of the University of São Paulo, Brazil
| | - Dimo Ivanov
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, MD, Maastricht, The Netherlands
| | | | - Martina F Callaghan
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, UK
| | - Christian Lambert
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, UK
| | - Arturo Cardenas-Blanco
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Kerrin Pine
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, UK
| | - Luca Passamonti
- Department of Clinical Neurosciences, University of Cambridge, UK
- Consiglio Nazionale delle Ricerche, Istituto di Bioimmagini e Fisiologia Molecolare (IBFM), Milan, Italy
| | - Clare Loane
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Max C Keuken
- University of Amsterdam, Integrative Model-based Cognitive Neuroscience research unit, Amsterdam, The Netherlands
- University of Leiden, Cognitive Psychology, Leiden, The Netherlands
| | - Paula Trujillo
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Falk Lüsebrink
- Department of Biomedical Magnetic Resonance, Institute for Physics, Otto-von-Guericke-University, Magdeburg, Germany
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Hendrik Mattern
- Department of Biomedical Magnetic Resonance, Institute for Physics, Otto-von-Guericke-University, Magdeburg, Germany
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London, UK
| | - Nikos Priovoulos
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Klaus Fliessbach
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Martin J Dahl
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Anne Maaß
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Christopher F Madelung
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark
| | - David Meder
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark
| | - Alexander J Ehrenberg
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Oliver Speck
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Department of Biomedical Magnetic Resonance, Institute for Physics, Otto-von-Guericke-University, Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Nikolaus Weiskopf
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, UK
| | - Raymond Dolan
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, UK
- Max Planck Centre for Computational Psychiatry and Ageing, University College London, UK
| | - Ben Inglis
- Henry H. Wheeler, Jr. Brain Imaging Center, University of California, Berkeley, CA, USA
| | - Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
| | - Markus Morawski
- Paul Flechsig Institute of Brain Research, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Fabio A Zucca
- Institute of Biomedical Technologies, National Research Council of Italy, Segrate, Milan, Italy
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark
| | - Mara Mather
- Leonard Davis School of Gerontology and Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Kamil Uludag
- Centre for Neuroscience Imaging Research, Institute for Basic Science and Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
- Techna Institute and Koerner Scientist in MR Imaging, University Health Network, Toronto, Canada
| | - Helmut Heinsen
- University of São Paulo Medical School, São Paulo, Brazil
- Clinic of Psychiatry, University of Würzburg, Wurzburg, Germany
| | - Benedikt A Poser
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, MD, Maastricht, The Netherlands
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK
| | - Luigi Zecca
- Institute of Biomedical Technologies, National Research Council of Italy, Segrate, Milan, Italy
- Department of Psychiatry, Columbia University Medical Center, New York State Psychiatric Institute, New York, USA
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, UK
| | - Lea T Grinberg
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- University of São Paulo Medical School, São Paulo, Brazil
- Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Heidi I L Jacobs
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, MD, Maastricht, The Netherlands
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Dorothea Hämmerer
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
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Moura LM, Luccas R, de Paiva JPQ, Amaro E, Leemans A, Leite CDC, Otaduy MCG, Conforto AB. Diffusion Tensor Imaging Biomarkers to Predict Motor Outcomes in Stroke: A Narrative Review. Front Neurol 2019; 10:445. [PMID: 31156529 PMCID: PMC6530391 DOI: 10.3389/fneur.2019.00445] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [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: 12/21/2018] [Accepted: 04/12/2019] [Indexed: 12/14/2022] Open
Abstract
Stroke is a leading cause of disability worldwide. Motor impairments occur in most of the patients with stroke in the acute phase and contribute substantially to disability. Diffusion tensor imaging (DTI) biomarkers such as fractional anisotropy (FA) measured at an early phase after stroke have emerged as potential predictors of motor recovery. In this narrative review, we: (1) review key concepts of diffusion MRI (dMRI); (2) present an overview of state-of-art methodological aspects of data collection, analysis and reporting; and (3) critically review challenges of DTI in stroke as well as results of studies that investigated the correlation between DTI metrics within the corticospinal tract and motor outcomes at different stages after stroke. We reviewed studies published between January, 2008 and December, 2018, that reported correlations between DTI metrics collected within the first 24 h (hyperacute), 2-7 days (acute), and >7-90 days (early subacute) after stroke. Nineteen studies were included. Our review shows that there is no consensus about gold standards for DTI data collection or processing. We found great methodological differences across studies that evaluated DTI metrics within the corticospinal tract. Despite heterogeneity in stroke lesions and analysis approaches, the majority of studies reported significant correlations between DTI biomarkers and motor impairments. It remains to be determined whether DTI results could enhance the predictive value of motor disability models based on clinical and neurophysiological variables.
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Affiliation(s)
- Luciana M. Moura
- Neurostimulation Laboratory, Neurology Department, Hospital das Clínicas/São Paulo University, São Paulo, Brazil
| | - Rafael Luccas
- Neurostimulation Laboratory, Neurology Department, Hospital das Clínicas/São Paulo University, São Paulo, Brazil
| | | | - Edson Amaro
- Hospital Israelita Albert Einstein, São Paulo, Brazil
- Lim 44, Department of Radiology and Oncology, Faculdade de Medicina, Hospital das Clínicas/São Paulo University, São Paulo, Brazil
| | - Alexander Leemans
- PROVIDI Lab, Image Sciences Institute, UMC Utrecht, Utrecht, Netherlands
| | - Claudia da C. Leite
- Lim 44, Department of Radiology and Oncology, Faculdade de Medicina, Hospital das Clínicas/São Paulo University, São Paulo, Brazil
| | - Maria C. G. Otaduy
- Lim 44, Department of Radiology and Oncology, Faculdade de Medicina, Hospital das Clínicas/São Paulo University, São Paulo, Brazil
| | - Adriana B. Conforto
- Neurostimulation Laboratory, Neurology Department, Hospital das Clínicas/São Paulo University, São Paulo, Brazil
- Hospital Israelita Albert Einstein, São Paulo, Brazil
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10
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Stewan Feltrin F, Zaninotto AL, Guirado VMP, Macruz F, Sakuno D, Dalaqua M, Magalhães LGA, Paiva WS, Andrade AFD, Otaduy MCG, Leite CC. Longitudinal changes in brain volumetry and cognitive functions after moderate and severe diffuse axonal injury. Brain Inj 2018; 32:1208-1217. [PMID: 30024781 DOI: 10.1080/02699052.2018.1494852] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
BACKGROUND AND OBJECTIVE Diffuse axonal injury (DAI) induces a long-term process of brain atrophy and cognitive deficits. The goal of this study was to determine whether there are correlations between brain volume loss, microhaemorrhage load (MHL) and neuropsychological performance during the first year after DAI. METHODS Twenty-four patients with moderate or severe DAI were evaluated at 2, 6 and 12 months post-injury. MHL was evaluated at 3 months, and brain volumetry was evaluated at 3, 6 and 12 months. The trail making test (TMT) was used to evaluate executive function (EF), and the Hopkins verbal learning test (HVLT) was used to evaluate episodic verbal memory (EVM) at 6 and 12 months. RESULTS There were significant white matter volume (WMV), subcortical grey matter volume and total brain volume (TBV) reductions during the study period (p < 0.05). MHL was correlated only with WMV reduction. EF and EVM were not correlated with MHL but were, in part, correlated with WMV and TBV reductions. CONCLUSIONS Our findings suggest that MHL may be a predictor of WMV reduction but cannot predict EF or EVM in DAI. Brain atrophy progresses over time, but patients showed better EF and EVM in some of the tests, which could be due to neuroplasticity.
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Affiliation(s)
- Fabrício Stewan Feltrin
- a Laboratory of Magnetic Resonance, LIM44, Department of Radiology , Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo , Sao Paulo , SP , Brazil
| | - Ana Luiza Zaninotto
- b Division of Psychology , Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo , Sao Paulo , SP , Brazil
| | - Vinícius M P Guirado
- c Division of Neurosurgery , Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo , Sao Paulo , SP , Brazil
| | - Fabiola Macruz
- a Laboratory of Magnetic Resonance, LIM44, Department of Radiology , Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo , Sao Paulo , SP , Brazil
| | - Daniel Sakuno
- d Department of Radiology , Hospital Universitário HU-UEPG, Universidade Estadual de Ponta Grossa , Ponta Grossa , Brazil
| | - Mariana Dalaqua
- e Department of Radiology , Hospital Israelita Albert Einstein , São Paulo , Brazil
| | | | - Wellingson Silva Paiva
- c Division of Neurosurgery , Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo , Sao Paulo , SP , Brazil
| | - Almir Ferreira de Andrade
- c Division of Neurosurgery , Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo , Sao Paulo , SP , Brazil
| | - Maria C G Otaduy
- a Laboratory of Magnetic Resonance, LIM44, Department of Radiology , Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo , Sao Paulo , SP , Brazil
| | - Claudia C Leite
- a Laboratory of Magnetic Resonance, LIM44, Department of Radiology , Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo , Sao Paulo , SP , Brazil
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11
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Hibar DP, Westlye LT, Doan NT, Jahanshad N, Cheung JW, Ching CRK, Versace A, Bilderbeck AC, Uhlmann A, Mwangi B, Krämer B, Overs B, Hartberg CB, Abé C, Dima D, Grotegerd D, Sprooten E, Bøen E, Jimenez E, Howells FM, Delvecchio G, Temmingh H, Starke J, Almeida JRC, Goikolea JM, Houenou J, Beard LM, Rauer L, Abramovic L, Bonnin M, Ponteduro MF, Keil M, Rive MM, Yao N, Yalin N, Najt P, Rosa PG, Redlich R, Trost S, Hagenaars S, Fears SC, Alonso-Lana S, van Erp TGM, Nickson T, Chaim-Avancini TM, Meier TB, Elvsåshagen T, Haukvik UK, Lee WH, Schene AH, Lloyd AJ, Young AH, Nugent A, Dale AM, Pfennig A, McIntosh AM, Lafer B, Baune BT, Ekman CJ, Zarate CA, Bearden CE, Henry C, Simhandl C, McDonald C, Bourne C, Stein DJ, Wolf DH, Cannon DM, Glahn DC, Veltman DJ, Pomarol-Clotet E, Vieta E, Canales-Rodriguez EJ, Nery FG, Duran FLS, Busatto GF, Roberts G, Pearlson GD, Goodwin GM, Kugel H, Whalley HC, Ruhe HG, Soares JC, Fullerton JM, Rybakowski JK, Savitz J, Chaim KT, Fatjó-Vilas M, Soeiro-de-Souza MG, Boks MP, Zanetti MV, Otaduy MCG, Schaufelberger MS, Alda M, Ingvar M, Phillips ML, Kempton MJ, Bauer M, Landén M, Lawrence NS, van Haren NEM, Horn NR, Freimer NB, Gruber O, Schofield PR, Mitchell PB, Kahn RS, Lenroot R, Machado-Vieira R, Ophoff RA, Sarró S, Frangou S, Satterthwaite TD, Hajek T, Dannlowski U, Malt UF, Arolt V, Gattaz WF, Drevets WC, Caseras X, Agartz I, Thompson PM, Andreassen OA. Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group. Mol Psychiatry 2018; 23:932-942. [PMID: 28461699 PMCID: PMC5668195 DOI: 10.1038/mp.2017.73] [Citation(s) in RCA: 422] [Impact Index Per Article: 70.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 02/04/2017] [Accepted: 02/10/2017] [Indexed: 12/13/2022]
Abstract
Despite decades of research, the pathophysiology of bipolar disorder (BD) is still not well understood. Structural brain differences have been associated with BD, but results from neuroimaging studies have been inconsistent. To address this, we performed the largest study to date of cortical gray matter thickness and surface area measures from brain magnetic resonance imaging scans of 6503 individuals including 1837 unrelated adults with BD and 2582 unrelated healthy controls for group differences while also examining the effects of commonly prescribed medications, age of illness onset, history of psychosis, mood state, age and sex differences on cortical regions. In BD, cortical gray matter was thinner in frontal, temporal and parietal regions of both brain hemispheres. BD had the strongest effects on left pars opercularis (Cohen's d=-0.293; P=1.71 × 10-21), left fusiform gyrus (d=-0.288; P=8.25 × 10-21) and left rostral middle frontal cortex (d=-0.276; P=2.99 × 10-19). Longer duration of illness (after accounting for age at the time of scanning) was associated with reduced cortical thickness in frontal, medial parietal and occipital regions. We found that several commonly prescribed medications, including lithium, antiepileptic and antipsychotic treatment showed significant associations with cortical thickness and surface area, even after accounting for patients who received multiple medications. We found evidence of reduced cortical surface area associated with a history of psychosis but no associations with mood state at the time of scanning. Our analysis revealed previously undetected associations and provides an extensive analysis of potential confounding variables in neuroimaging studies of BD.
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Affiliation(s)
- D P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA,Janssen Research & Development, San Diego, CA, USA
| | - L T Westlye
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - N T Doan
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - N Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - J W Cheung
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - C R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA,Neuroscience Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - A Versace
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - A C Bilderbeck
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK
| | - A Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa,MRC Unit on Anxiety and Stress Disorders, Groote Schuur Hospital (J-2), University of Cape Town, Cape Town, South Africa
| | - B Mwangi
- UT Center of Excellence on Mood Disorders, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - B Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - B Overs
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - C B Hartberg
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - C Abé
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden
| | - D Dima
- Department of Psychology, City University London, London, UK,Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - D Grotegerd
- Department of Psychiatry, University of Münster, Münster, Germany
| | - E Sprooten
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - E Bøen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - E Jimenez
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - F M Howells
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - G Delvecchio
- IRCCS "E. Medea" Scientific Institute, San Vito al Tagliamento, Italy
| | - H Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - J Starke
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - J R C Almeida
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - J M Goikolea
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - J Houenou
- INSERM U955 Team 15 ‘Translational Psychiatry’, University Paris East, APHP, CHU Mondor, Fondation FondaMental, Créteil, France,NeuroSpin, UNIACT Lab, Psychiatry Team, CEA Saclay, Gif Sur Yvette, France
| | - L M Beard
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - L Rauer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - L Abramovic
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M Bonnin
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - M F Ponteduro
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - M Keil
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - M M Rive
- Program for Mood Disorders, Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - N Yao
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - N Yalin
- Centre for Affective Disorders, King’s College London, London, UK
| | - P Najt
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - P G Rosa
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - R Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - S Trost
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - S Hagenaars
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - S C Fears
- Department of Psychiatry, University of California, Los Angeles, Los Angeles, CA, USA,West Los Angeles Veterans Administration, Los Angeles, CA, USA
| | - S Alonso-Lana
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - T M Chaim-Avancini
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - T B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA,Laureate Institute for Brain Research, Tulsa, OK, USA
| | - T Elvsåshagen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - U K Haukvik
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Adult Psychiatry, University of Oslo, Oslo, Norway
| | - W H Lee
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - A H Schene
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands,Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - A J Lloyd
- Academic Psychiatry and Northern Centre for Mood Disorders, Newcastle University/Northumberland Tyne & Wear NHS Foundation Trust, Newcastle, UK
| | - A H Young
- Centre for Affective Disorders, King’s College London, London, UK
| | - A Nugent
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - A M Dale
- MMIL, Department of Radiology, University of California San Diego, San Diego, CA, USA,Department of Cognitive Science, Neurosciences and Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - A Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - B Lafer
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - B T Baune
- Department of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - C J Ekman
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden
| | - C A Zarate
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - C E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA,Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - C Henry
- INSERM U955 Team 15 ‘Translational Psychiatry’, University Paris East, APHP, CHU Mondor, Fondation FondaMental, Créteil, France,Institut Pasteur, Unité Perception et Mémoire, Paris, France
| | - C Simhandl
- Bipolar Center Wiener Neustadt, Wiener Neustadt, Austria
| | - C McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - C Bourne
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK,Department of Psychology & Counselling, Newman University, Birmingham, UK
| | - D J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa,MRC Unit on Anxiety and Stress Disorders, Groote Schuur Hospital (J-2), University of Cape Town, Cape Town, South Africa
| | - D H Wolf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - D M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - D C Glahn
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - D J Veltman
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - E Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - E Vieta
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - E J Canales-Rodriguez
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - F G Nery
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - F L S Duran
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - G F Busatto
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - G Roberts
- School of Psychiatry and Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - G D Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - G M Goodwin
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK
| | - H Kugel
- Department of Clinical Radiology, University of Münster, Münster, Germany
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - H G Ruhe
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK,Program for Mood Disorders, Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands,Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - J C Soares
- UT Center of Excellence on Mood Disorders, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - J M Fullerton
- Neuroscience Research Australia, Sydney, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - J K Rybakowski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - J Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA,Faculty of Community Medicine, The University of Tulsa, Tulsa, OK, USA
| | - K T Chaim
- Department of Radiology, University of São Paulo, São Paulo, Brazil,LIM44-Laboratory of Magnetic Resonance in Neuroradiology, University of São Paulo, São Paulo, Brazil
| | - M Fatjó-Vilas
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - M G Soeiro-de-Souza
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - M P Boks
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M V Zanetti
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - M C G Otaduy
- Department of Radiology, University of São Paulo, São Paulo, Brazil,LIM44-Laboratory of Magnetic Resonance in Neuroradiology, University of São Paulo, São Paulo, Brazil
| | - M S Schaufelberger
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - M Ingvar
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden,Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - M L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - M J Kempton
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - M Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - M Landén
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden,Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the Gothenburg University, Goteborg, Sweden
| | - N S Lawrence
- Department of Psychology, University of Exeter, Exeter, UK
| | - N E M van Haren
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - N R Horn
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - N B Freimer
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - O Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - P R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - P B Mitchell
- School of Psychiatry and Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - R S Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - R Lenroot
- Neuroscience Research Australia, Sydney, NSW, Australia,School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - R Machado-Vieira
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - R A Ophoff
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands,Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - S Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - S Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - T Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada,National Institute of Mental Health, Klecany, Czech Republic
| | - U Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - U F Malt
- Division of Clinical Neuroscience, Department of Research and Education, Oslo University Hospital, Oslo, Norway,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - V Arolt
- Department of Psychiatry, University of Münster, Münster, Germany
| | - W F Gattaz
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - W C Drevets
- Janssen Research & Development, Titusville, NJ, USA
| | - X Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - I Agartz
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - P M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - O A Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway,NORMENT, KG Jebsen Centre for Psychosis Research—TOP Study, Oslo University Hospital, Ullevål, Building 49, Kirkeveien 166, PO Box 4956, Nydalen, 0424, Oslo, Norway. E-mail:
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12
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Lyra KP, Chaim KT, Leite CC, Park EJ, Andrade CS, Passarelli V, Valério RMF, Jorge CL, Castro LHM, Otaduy MCG. Corpus callosum diffusion abnormalities in refractory epilepsy associated with hippocampal sclerosis. Epilepsy Res 2017; 137:112-118. [PMID: 28988018 DOI: 10.1016/j.eplepsyres.2017.09.008] [Citation(s) in RCA: 2] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 08/05/2017] [Accepted: 09/16/2017] [Indexed: 10/18/2022]
Abstract
OBJECTIVES To detect by diffusion tensor imaging (DTI) the extent of microstructural integrity changes of the corpus callosum (CC) in patients with hippocampal sclerosis (HS) and to evaluate possible association with clinical characteristics. METHODS Fourty-two patients with temporal lobe epilepsy (TLE) and HS and 30 control subjects were studied with DTI. We grouped patients according to lesion side (left or right) HS. Mean diffusivity (MD), fractional anisotropy (FA), radial (RD) and axial diffusivity (AD) were extracted from five segments in CC midsagittal section obtained by automatic segmentation. CC DTI findings were compared between groups. We also evaluated association of DTI changes and clinical characteristics. RESULTS HS patients displayed decreased FA and increased MD and RD in the anterior, mid-posterior and posterior CC segments, compared to controls. No differences were observed in AD. Patients reporting febrile seizure as the initial precipitating event presented more intense diffusion changes. No differences were seen comparing left and right HS. Age at epilepsy onset, disease duration and seizure frequency were not associated with DTI findings. CONCLUSIONS This is one of the largest series of TLE-HS patients evaluating CC white matter fiber integrity by DTI, which allowed us to study how some clinical characteristics, such as seizure frequency, disease duration and lesion side, are related to CC integrity. Occurrence of febrile seizure was the only factor that had significant impact on tract integrity. Diffusion changes were not restricted to the posterior part of the CC; we observed the same changes for the anterior part of the CC. Diffusion changes were characterized by an increase in RD, while the AD remained intact for all regions of the CC.
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Affiliation(s)
- Katarina P Lyra
- Department of Radiology and Oncology, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil; LIM44-Laboratory of Magnetic Resonance in Neuroimaging, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil.
| | - Khallil T Chaim
- Department of Radiology and Oncology, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil; LIM44-Laboratory of Magnetic Resonance in Neuroimaging, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil.
| | - Claudia C Leite
- Department of Radiology and Oncology, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil; LIM44-Laboratory of Magnetic Resonance in Neuroimaging, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil.
| | - Eun J Park
- Department of Radiology and Oncology, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil; LIM44-Laboratory of Magnetic Resonance in Neuroimaging, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil.
| | - Celi S Andrade
- Department of Radiology and Oncology, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil; LIM44-Laboratory of Magnetic Resonance in Neuroimaging, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil.
| | - Valmir Passarelli
- Department of Neurology, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil.
| | - Rosa M F Valério
- Department of Neurology, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil.
| | - Carmen L Jorge
- Department of Neurology, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil.
| | - Luiz H M Castro
- Department of Neurology, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil.
| | - Maria C G Otaduy
- Department of Radiology and Oncology, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil; LIM44-Laboratory of Magnetic Resonance in Neuroimaging, Clinics Hospital, School of Medicine, University of São Paulo, São Paulo, Brazil.
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13
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Hirata FCC, Sato JR, Vieira G, Lucato LT, Leite CC, Bor-Seng-Shu E, Pastorello BF, Otaduy MCG, Chaim KT, Campanholo KR, Novaes NP, Melo LM, Gonçalves MR, do Nascimento FBP, Teixeira MJ, Barbosa ER, Amaro E, Cardoso EF. Substantia nigra fractional anisotropy is not a diagnostic biomarker of Parkinson's disease: A diagnostic performance study and meta-analysis. Eur Radiol 2016; 27:2640-2648. [PMID: 27709279 DOI: 10.1007/s00330-016-4611-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [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: 06/13/2016] [Revised: 08/31/2016] [Accepted: 09/15/2016] [Indexed: 11/27/2022]
Abstract
OBJECTIVES Our goal was to estimate the diagnostic accuracy of substantia nigra fractional anisotropy (SN-FA) for Parkinson's disease (PD) diagnosis in a sample similar to the clinical setting, including patients with essential tremor (ET) and healthy controls (HC). We also performed a systematic review and meta-analysis to estimate mean change in SN-FA induced by PD and its diagnostic accuracy. METHODS Our sample consisted of 135 subjects: 72 PD, 21 ET and 42 HC. To address inter-scanner variability, two 3.0-T MRI scans were performed. MRI results of this sample were pooled into a meta-analysis that included 1,432 subjects (806 PD and 626 HC). A bivariate model was used to evaluate diagnostic accuracy measures. RESULTS In our sample, we did not observe a significant effect of disease on SN-FA and it was uninformative for diagnosis. The results of the meta-analysis estimated a 0.03 decrease in mean SN-FA in PD relative to HC (CI: 0.01-0.05). However, the discriminatory capability of SN-FA to diagnose PD was low: pooled sensitivity and specificity were 72 % (CI: 68-75) and 63 % (CI: 58-70), respectively. There was high heterogeneity between studies (I2 = 91.9 %). CONCLUSIONS SN-FA cannot be used as an isolated measure to diagnose PD. KEY POINTS • SN-FA appears insufficiently sensitive and specific to diagnose PD. • Radiologists must be careful when translating mean group results to clinical practice. • Imaging protocol and analysis standardization is necessary for developing reproducible quantitative biomarkers.
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Affiliation(s)
- Fabiana C C Hirata
- LIM-44, Department of Radiology, University of São Paulo, Rua Oscar Freire, 1967, Apto. 43A, Cerqueira César, São Paulo, SP, Brazil
| | - João R Sato
- LIM-44, Department of Radiology, University of São Paulo, Rua Oscar Freire, 1967, Apto. 43A, Cerqueira César, São Paulo, SP, Brazil
- Center of Mathematics, Computation and Cognition, Universidade Federal do ABC, Santo André, Brazil
| | - Gilson Vieira
- LIM-44, Department of Radiology, University of São Paulo, Rua Oscar Freire, 1967, Apto. 43A, Cerqueira César, São Paulo, SP, Brazil
| | - Leandro T Lucato
- LIM-44, Department of Radiology, University of São Paulo, Rua Oscar Freire, 1967, Apto. 43A, Cerqueira César, São Paulo, SP, Brazil
| | - Claudia C Leite
- LIM-44, Department of Radiology, University of São Paulo, Rua Oscar Freire, 1967, Apto. 43A, Cerqueira César, São Paulo, SP, Brazil
| | - Edson Bor-Seng-Shu
- Hospital Israelita Albert Einstein, São Paulo, Brazil
- Department of Neurology, University of São Paulo, São Paulo, Brazil
| | - Bruno F Pastorello
- LIM-44, Department of Radiology, University of São Paulo, Rua Oscar Freire, 1967, Apto. 43A, Cerqueira César, São Paulo, SP, Brazil
| | - Maria C G Otaduy
- LIM-44, Department of Radiology, University of São Paulo, Rua Oscar Freire, 1967, Apto. 43A, Cerqueira César, São Paulo, SP, Brazil
| | - Khallil T Chaim
- LIM-44, Department of Radiology, University of São Paulo, Rua Oscar Freire, 1967, Apto. 43A, Cerqueira César, São Paulo, SP, Brazil
| | - Kenia R Campanholo
- LIM-44, Department of Radiology, University of São Paulo, Rua Oscar Freire, 1967, Apto. 43A, Cerqueira César, São Paulo, SP, Brazil
| | - Natalia P Novaes
- Hospital Israelita Albert Einstein, São Paulo, Brazil
- Department of Neurology, University of São Paulo, São Paulo, Brazil
| | | | | | - Felipe Barjud Pereira do Nascimento
- LIM-44, Department of Radiology, University of São Paulo, Rua Oscar Freire, 1967, Apto. 43A, Cerqueira César, São Paulo, SP, Brazil
- Hospital Israelita Albert Einstein, São Paulo, Brazil
| | | | | | - Edson Amaro
- LIM-44, Department of Radiology, University of São Paulo, Rua Oscar Freire, 1967, Apto. 43A, Cerqueira César, São Paulo, SP, Brazil
- Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Ellison Fernando Cardoso
- LIM-44, Department of Radiology, University of São Paulo, Rua Oscar Freire, 1967, Apto. 43A, Cerqueira César, São Paulo, SP, Brazil.
- Hospital Israelita Albert Einstein, São Paulo, Brazil.
- Institute of Mathematics and Statistics University of São Paulo (IME-USP), São Paulo, Brazil.
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14
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Andrade CS, Figueiredo KG, Valeriano C, Mendoza M, Valente KDR, Otaduy MCG, Leite CC. DTI-based tractography of the arcuate fasciculus in patients with polymicrogyria and language disorders. Eur J Radiol 2015. [PMID: 26216794 DOI: 10.1016/j.ejrad.2015.07.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [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: 10/23/2022]
Abstract
OBJECTIVES To assess the integrity of the arcuate fasciculus (AF) with diffusion tensor imaging (DTI) and tractography in patients with congenital polymicrogyria (PMG) and language disorders. METHODS Twelve patients with PMG and 12 matched controls were prospectively evaluated with DTI (32 gradient encoding directions, b-value=1000 s/mm(2)) at 3.0T. The AF was virtually dissected with a deterministic streamline approach. DTI metrics included FA (fractional anisotropy), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD). A subset of patients (n=4) was evaluated to assess cognitive performance and language skills. RESULTS Qualitative evaluation revealed several abnormalities in tracts size and architecture in nearly all PMG patients. Remarkably, in 3 patients with bilateral PMG, the AF was not delineated on both hemispheres. In comparison to controls, patients exhibited significant decrease of FA (p=0.003) in addition to increase of RD (p=0.03) in the right AF, whereas there was significant increase of MD in the left AF (p=0.04). All 4 patients with language evaluation had suboptimal performance on lexical fluency and prosodic linguistic. CONCLUSIONS DTI and tractography suggest that the AF is severely disrupted in patients with PMG, providing an anatomical in vivo substrate for the language disorders commonly associated with these cortical malformations.
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Affiliation(s)
- Celi S Andrade
- Department of Radiology and Oncology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
| | - Kenya G Figueiredo
- Department of Radiology and Oncology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Cassia Valeriano
- Department of Psychiatry, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Melanie Mendoza
- Department of Psychiatry, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Kette D R Valente
- Department of Psychiatry, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Maria C G Otaduy
- Department of Radiology and Oncology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Claudia C Leite
- Department of Radiology and Oncology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
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Hayashi AP, Solis MY, Sapienza MT, Otaduy MCG, de Sá Pinto AL, Silva CA, Sallum AME, Pereira RMR, Gualano B. Efficacy and safety of creatine supplementation in childhood-onset systemic lupus erythematosus: a randomized, double-blind, placebo-controlled, crossover trial. Lupus 2014; 23:1500-1511. [DOI: 10.1177/0961203314546017] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Abstract
Introduction Creatine supplementation has emerged as a promising non-pharmacological therapeutic strategy to counteract muscle dysfunction and low lean mass in a variety of conditions, including in pediatric and rheumatic diseases. The objective of this study was to examine the efficacy and safety of creatine supplementation in childhood systemic lupus erythematosus (C-SLE). Methods C-SLE patients with mild disease activity ( n = 15) received placebo or creatine supplementation in a randomized fashion using a crossover, double-blind, repeated-measures design. The participants were assessed at baseline and after 12 weeks in each arm, interspersed by an eight-week washout period. The primary outcomes were muscle function, as assessed by a battery of tests including one-maximum repetition (1-RM) tests, the timed-up-and-go test, the timed-stands test, and the handgrip test. Secondary outcomes included body composition, biochemical markers of bone remodeling, aerobic conditioning, quality of life, and physical capacity. Possible differences in dietary intake were assessed by three 24-hour dietary recalls. Muscle phosphorylcreatine content was measured through phosphorus magnetic resonance spectroscopy (31 P-MRS). The safety of the intervention was assessed by laboratory parameters, and kidney function was measured by 51Cr-EDTA clearance. Additionally, self-reported adverse events were recorded throughout the trial. Results Intramuscular phosphorylcreatine content was not significantly different between creatine and placebo before or after the intervention (creatine-Pre: 20.5 ± 2.6, Post: 20.4 ± 4.1, placebo-Pre: 19.8 ± 2.0; Post: 20.2 ± 3.2 mmol/kg wet muscle; p = 0.70 for interaction between conditions). In addition, probably as a consequence of the lack of change in intramuscular phosphorylcreatine content, there were no significant changes between placebo and creatine for any muscle function and aerobic conditioning parameters, lean mass, fat mass, bone mass, and quality of life scores ( p > 0.05). The 51Cr-EDTA clearance was not altered by creatine supplementation and no side effects were noticed. Conclusion A 12-week creatine supplementation protocol at 0.1 g/kg/d is well tolerated and free of adverse effects but did not affect intramuscular phosphorylcreatine, muscle function, free-fat mass or quality of life in non-active C-SLE patients. Trial registration Clinicaltrials.gov number: NCT01217320.
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Affiliation(s)
| | | | | | | | | | | | | | | | - B Gualano
- School of Medicine
- School of Physical Education and Sport, University of São Paulo, Brazil
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16
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Andrade CS, Leite CC, Otaduy MCG, Lyra KP, Valente KDR, Yasuda CL, Beltramini GC, Beaulieu C, Gross DW. Diffusion abnormalities of the corpus callosum in patients with malformations of cortical development and epilepsy. Epilepsy Res 2014; 108:1533-42. [PMID: 25260933 DOI: 10.1016/j.eplepsyres.2014.08.023] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [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: 05/08/2014] [Revised: 07/25/2014] [Accepted: 08/31/2014] [Indexed: 11/19/2022]
Abstract
PURPOSE Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique that can characterize white matter (WM) architecture and microstructure. DTI has demonstrated extensive WM changes in patients with several epileptic syndromes, but few studies have focused on patients with malformations of cortical development (MCD). Our aim was to investigate the quantitative diffusion properties of the corpus callosum (CC), a major commissural bundle critical in inter-hemispheric connectivity, in a large group of patients with MCD. METHODS Thirty-two MCD patients and 32 age and sex-matched control subjects were evaluated with DTI at 3.0 T. We analyzed the three major subdivisions of the CC (genu, body, and splenium) with deterministic tractography to yield fractional anisotropy (FA), mean diffusivity (MD), parallel diffusivity (λ||) and perpendicular diffusivity (λ⊥). We further assessed the CC with region of interest (ROI)-based analyses and evaluated different subgroups of MCD (polymicrogyria/schizencephaly, heterotopia, and cortical dysplasia). Partial correlations between diffusion changes and clinical parameters (epilepsy duration and age at disease onset) were also queried. RESULTS There were significant reductions of FA, accompanied by increases in MD and λ⊥ in all segments of the CC in the patients group with both analytical methods. The absolute differences in FA were greater on ROI-analyses. There were no significant differences between the MCD subgroups, and no correlations between clinical parameters of epilepsy and FA. CONCLUSIONS Our study indicates DTI abnormalities consistent with microstructural changes in the corpus callosum of MCD patients. The findings support the idea that patients with epilepsy secondary to cortical malformations present widespread WM changes that extend beyond the macroscopic MRI-visible lesions.
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Affiliation(s)
- Celi S Andrade
- Department of Radiology, Universidade de São Paulo, São Paulo, Brazil; Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Claudia C Leite
- Department of Radiology, Universidade de São Paulo, São Paulo, Brazil
| | - Maria C G Otaduy
- Department of Radiology, Universidade de São Paulo, São Paulo, Brazil
| | - Katarina P Lyra
- Department of Radiology, Universidade de São Paulo, São Paulo, Brazil
| | - Kette D R Valente
- Department of Psychiatry, Universidade de São Paulo, São Paulo, Brazil
| | - Clarissa L Yasuda
- Department of Neurology, Universidade de Campinas, São Paulo, Brazil; Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | | | - Christian Beaulieu
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
| | - Donald W Gross
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB, Canada.
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17
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Alves CRR, Santiago BM, Lima FR, Otaduy MCG, Calich AL, Tritto ACC, de Sá Pinto AL, Roschel H, Leite CC, Benatti FB, Bonfá E, Gualano B. Creatine supplementation in fibromyalgia: a randomized, double-blind, placebo-controlled trial. Arthritis Care Res (Hoboken) 2013; 65:1449-59. [PMID: 23554283 DOI: 10.1002/acr.22020] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2012] [Accepted: 03/20/2013] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To investigate the efficacy and safety of creatine supplementation in fibromyalgia patients. METHODS A 16-week, randomized, double-blind, placebo-controlled, parallel-group trial was conducted. Fibromyalgia patients were randomly assigned to receive either creatine monohydrate or placebo in a double-blind manner. The patients were evaluated at baseline and after 16 weeks. Muscle function, aerobic conditioning, cognitive function, quality of sleep, quality of life, kidney function, and adverse events were assessed. Muscle phosphorylcreatine content was measured through (31) P magnetic resonance spectroscopy. RESULTS After the intervention, the creatine group presented higher muscle phosphorylcreatine content when compared with the placebo group (+80.3% versus -2.7%; P = 0.04). Furthermore, the creatine group presented greater muscle strength than the placebo group in the leg press and chest press exercises (+9.8% and +1.2% for creatine versus -0.5% and -7.2% for placebo, respectively; P = 0.02 and P = 0.002, respectively). Isometric strength was greater in the creatine group than in the placebo group (+6.4% versus -3.2%; P = 0.007). However, no general changes were observed in aerobic conditioning, pain, cognitive function, quality of sleep, and quality of life. Food intake remained unaltered and no side effects were reported. CONCLUSION Creatine supplementation increased intramuscular phosphorylcreatine content and improved lower- and upper-body muscle function, with minor changes in other fibromyalgia features. These findings introduce creatine supplementation as a useful dietary intervention to improve muscle function in fibromyalgia patients.
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18
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Lima EC, Otaduy MCG, Tsunemi M, Pincerato R, Cardoso EF, Rosemberg S, Aguiar PH, Cerri GG, Leite CC. The effect of paramagnetic contrast in choline peak in patients with glioblastoma multiforme might not be significant. AJNR Am J Neuroradiol 2013; 34:80-4. [PMID: 22766678 DOI: 10.3174/ajnr.a3181] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE (1)H-MR spectroscopy is a useful tool in brain tumor evaluation. A critical point in obtaining representative spectra is the correct voxel positioning, which can be more accurate after Gd administration. Some experimental data suggested that Gd could cause Cho signal loss. Our aim was to evaluate the effect of Gd in the Cho peak area and width in patients with GBM. MATERIALS AND METHODS We performed multivoxel (1)H-MR spectroscopy before and after Gd administration in 18 patients with GBM. Quantification of Cho peak area and width in each voxel was completed, and the Cho mean and maximum values before and after Gd injection were calculated in the tumor and contralateral hemisphere. Choline peak area and width values obtained before and after contrast were compared, considering as separate entities enhancing and nonenhancing tumoral voxels and the contralateral hemisphere. RESULTS No statistically significant differences were found for the Cho peak area mean values in the tumoral voxels or contralaterally (P > .05). A tendency for an increase in the Cho peak width mean value was found in the tumoral enhancing voxels (P = .055). A statistically significant decrease was found for the mean value of the maximum Cho peak area in enhancing tumoral voxels (P = .020). No significant differences were found in the nonenhancing tumoral voxels or contralaterally (P > .05). CONCLUSIONS The injection of Gd before performing (1)H-MR spectroscopy might not significantly affect the Cho peak area in patients with GBM. The paramagnetic contrast seems to cause a different effect, depending on Gd enhancement.
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Affiliation(s)
- E C Lima
- Department of Radiology, University of Sao Paulo, Sao Paulo, Brazil.
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19
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Andrade CS, Otaduy MCG, Valente KDR, Maia DF, Park EJ, Valério RMF, Tsunemi MH, Leite CC. Phosphorus magnetic resonance spectroscopy in malformations of cortical development. Epilepsia 2011; 52:2276-84. [PMID: 21973076 DOI: 10.1111/j.1528-1167.2011.03281.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
PURPOSE The aim of this study was to evaluate phospholipid metabolism in patients with malformations of cortical development (MCDs). METHODS Thirty-seven patients with MCDs and 31 control subjects were studied using three-dimensional phosphorus magnetic resonance spectroscopy ((31)P-MRS) at 3.0 T. The voxels in the lesions and in the frontoparietal cortex of the control subjects were compared (the effective volumes were 12.5 cm(3)). Robust quantification methods were applied to fit the time-domain data to the following resonances: phosphoethanolamine (PE); phosphocholine (PC); inorganic phosphate (Pi); glycerophosphoethanolamine (GPE); glycerophosphocholine (GPC); phosphocreatine (PCr); and α-, β-, and γ-adenosine triphosphate (ATP). We also estimated the total ATP (ATP(t) = α-+β-+γ-ATP), phosphodiesters (PDE = GPC+GPE), phosphomonoesters (PME = PE+PC), and the PME/PDE, PCr/ATP(t) and PCr/Pi ratios. The magnesium (Mg(2+)) levels and pH values were calculated based on PCr, Pi, and β-ATP chemical shifts. KEY FINDINGS Compared to controls and assuming that a p-value < 0.05 indicates statistical significance, the patients with MCDs exhibited significantly lower pH values and higher Mg(2+) levels. In addition, the patients with MCDs had lower GPC and PDE and an increased PME/PDE ratio. SIGNIFICANCE Mg(2+) and pH are important in the regulation of bioenergetics and are involved in many electrical activity pathways in the brain. Our data support the idea that neurometabolic impairments occur during seizure onset and propagation. The GPC, PDE, and PME/PDE abnormalities also demonstrate that there are membrane turnover disturbances in patients with MCDs.
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Affiliation(s)
- Celi S Andrade
- Department of Radiology, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
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20
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Park EJ, Lyra KP, Lee HW, Caramelli P, Otaduy MCG, Leite CC. Correlation between hippocampal volumes and proton magnetic resonance spectroscopy of the posterior cingulate gyrus and hippocampi in Alzheimer's disease. Dement Neuropsychol 2010; 4:109-113. [PMID: 29213672 PMCID: PMC5619168 DOI: 10.1590/s1980-57642010dn40200006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Prior studies have reported hippocampal volume loss, decrease in
N-Acetylaspartate (NAA) concentration and increased myo-inositol (mI)
concentration in patients with Alzheimer’s disease (AD). The purpose of this
study was to evaluate hippocampal volumes of AD patients and their correlation
with metabolic changes detected by proton spectroscopy (1H MRS) of hippocampal
formations and the posterior cingulate region.
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Affiliation(s)
- Eun Joo Park
- Department of Radiology, School of Medicine of the University of São Paulo, São Paulo SP, Brazil
| | - Katarina P Lyra
- Department of Radiology, School of Medicine of the University of São Paulo, São Paulo SP, Brazil
| | - Hae Won Lee
- Department of Radiology, School of Medicine of the University of São Paulo, São Paulo SP, Brazil
| | - Paulo Caramelli
- Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte MG, Brazil
| | - Maria C G Otaduy
- Department of Radiology, School of Medicine of the University of São Paulo, São Paulo SP, Brazil
| | - Claudia Costa Leite
- Department of Radiology, School of Medicine of the University of São Paulo, São Paulo SP, Brazil
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Embiruçu EK, Otaduy MCG, Taneja AK, Leite CC, Kok F, Lucato LT. MR spectroscopy detects lipid peaks in cerebrotendinous xanthomatosis. AJNR Am J Neuroradiol 2010; 31:1347-9. [PMID: 20150306 DOI: 10.3174/ajnr.a1885] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
CTX is a rare lipid-storage disease. Novel MRS findings from 3 patients, using a short TE, were the presence of lipid peaks at 0.9 and 1.3 ppm in the depth of the cerebellar hemisphere; this might represent an additional marker of disease that is CNS-specific and noninvasive. A decrease in NAA concentration was also detected and attributed to neuroaxonal damage. One patient presented an increase in mIns concentration, pointing to gliosis and astrocytic proliferation.
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Affiliation(s)
- E K Embiruçu
- Department of Neurology, Clinics Hospital of the University of Sao Paulo, School of Medicine, Sao Paulo, Brazil
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22
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Leite CC, Lucato LT, Sato JR, Valente KD, Otaduy MCG. Multivoxel proton MR spectroscopy in malformations of cortical development. AJNR Am J Neuroradiol 2007; 28:1071-5; discussion 1076-7. [PMID: 17569960 PMCID: PMC8134160 DOI: 10.3174/ajnr.a0511] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2006] [Accepted: 11/02/2006] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Malformations of cortical development (MCD) are traditionally considered as a cause of epilepsy. Our aim was to study patients with focal MCD, by using multivoxel proton MR spectroscopy; we focused not only on the lesion but also on the normal-appearing contralateral side (NACS). Our hypothesis was that the metabolic abnormality extends to the NACS; therefore, it would be inadequate to consider NACS as an internal control. MATERIALS AND METHODS We studied 16 patients with focal MCD. MR spectroscopy was performed by using a point-resolved spectroscopy sequence technique, including the MCD area and the NACS. In each volume of interest, a smaller volume of interest of 2.25 cm(3) centered on the MCD was selected to study the N-acetylaspartate/creatine (NAA/Cr) ratio. In NACS, this ratio was studied by placing a symmetric voxel in comparison with the smaller MCD volume of interest. A control group (n=30) was also studied to evaluate both white and gray matter by using the same MR spectroscopy protocol. RESULTS From 16 analyzed volumes of interest with MCD, 9 were composed of gray matter heterotopia and 7 of cortical dysplasia. MR spectroscopy of both MCD lesions and NACS (n=10) showed decreased NAA/Cr compared with that of the control group. NACS in these patients did not present significant differences regarding NAA/Cr in comparison with the affected side. CONCLUSIONS MR spectroscopy demonstrated abnormal NAA/Cr in both MCD lesions and NACS in patients harboring focal MCD, giving support to the hypothesis that in MCD metabolic abnormalities extend far away from the limits of the lesion, reaching the contralateral side.
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Affiliation(s)
- C C Leite
- Department of Radiology, University of São Paulo School of Medicine, São Paulo, Brazil.
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23
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Otaduy MCG, Callegaro D, Bacheschi LA, Leite CC. Correlation of magnetization transfer and diffusion magnetic resonance imaging in multiple sclerosis. Mult Scler 2007; 12:754-9. [PMID: 17263003 DOI: 10.1177/1352458506070824] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The aim of this study was to correlate diffusion to magnetization transfer (MT) magnetic resonance imaging (MRI) results in multiple sclerosis (MS), in order to establish if the former technique provides complementary information. Magnetization transfer ratio (MTR) and apparent diffusion coefficient (ADC) were measured in 156 different regions of interest (ROIs) of 14 MS patients, where 84 corresponded to T1 hypointense lesions, 60 to T1 isointense lesions and 12 to regions of normal appearing white matter (NAWM). MTR mean value was higher for T1 isointense than for T1 hypointense lesions, and lower when compared to NAWM. ADC mean value for T1 isointense lesions was higher than for NAWM, but lower than for T1 hypointense lesions. A significant negative correlation was found between ADC and MTR for hypointense lesions (Pearson's r = -0.758, P < 0.001), whereas this correlation was much weaker for T1 isointense lesions (Pearson's r= -0.256, P = 0.049). There was no correlation between ADC and MTR for NAWM. The fact that ADC and MTR show a strong correlation only for T1 hypointense lesions indicates that, when tissue integrity is not severely compromised, as in the case of T1 isointense lesions or NAWM, ADC and MTR might be sensitive to different pathological processes.
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Affiliation(s)
- M C G Otaduy
- Department of Radiology, Medical School of the University of São Paulo, São Paulo 05403-900, Brazil.
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24
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Otaduy MCG, Leite CC, Lacerda MTC, Costa MOR, Arita F, Prado E, Rosemberg S. Proton MR spectroscopy and imaging of a galactosemic patient before and after dietary treatment. AJNR Am J Neuroradiol 2006; 27:204-7. [PMID: 16418384 PMCID: PMC7976095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
We describe how proton MR spectroscopy ((1)H-MR spectroscopy) was useful in elucidating the diagnosis of galactosemia in an undiagnosed 6-month-old infant. In vivo (1)H-MR spectroscopy of the brain showed a doublet at 3.7 parts per million, which was identified as galactitol (Gal-ol) by in vitro (1)H-MR spectroscopy of the urine. Galactosemia was subsequently confirmed by laboratory tests and treatment was initiated. A follow-up brain MR imaging and (1)H-MR spectroscopy study revealed resolution of white matter lesions and disappearance of Gal-ol peaks.
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Affiliation(s)
- M C G Otaduy
- Department of Radiology, School of Medicine of the University of São Paulo, São Paulo, Brazil
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25
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Forlenza OV, Wacker P, Nunes PV, Yacubian J, Castro CC, Otaduy MCG, Gattaz WF. Reduced phospholipid breakdown in Alzheimer's brains: a 31P spectroscopy study. Psychopharmacology (Berl) 2005; 180:359-65. [PMID: 15700180 DOI: 10.1007/s00213-005-2168-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2004] [Accepted: 12/20/2004] [Indexed: 12/13/2022]
Abstract
BACKGROUND Abnormalities of membrane phospholipid metabolism have been described in Alzheimer's disease (AD). We investigated, with the aid of (31)P magnetic resonance spectroscopy, the in vivo intracerebral availability of phosphomonoesters (PME) and phosphodiesters (PDE) in patients with AD. METHODS Eighteen outpatients with mild or moderate probable AD and 16 nondemented elderly volunteers were assessed with the Cambridge Examination for Mental Disorders of the Elderly (CAMDEX) and its cognitive subscale of the CAMDEX schedule (CAMCOG). Scans were performed on a 1.5 T magnetic resonance imager addressing a 40-cm(3) voxel in the left prefrontal cortex. Main outcome measures were mean relative peak areas of PME and PDE, which provide an estimate of membrane phospholipid metabolism. RESULTS PME resonance and the PME/PDE ratio were increased in AD patients as compared to controls (p<0.05). PME was negatively correlated with global cognitive performance as shown by the Mini-Mental State Examination (r(s)=-0.36, p=0.05) and CAMCOG scores (r(s)=-0.49, p=0.007), as well as with discrete neuropsychological functions, namely, memory (r(s)=-0.53, p=0.004), visual perception (r(s)=-0.54, p=0.003), orientation (r(s)=-0.36, p=0.05), and abstract thinking (r(s)=-0.48, p=0.01). CONCLUSIONS We provide evidence of reduced membrane phospholipid breakdown in the prefrontal cortex of mild and moderately demented AD patients. These abnormalities correlate with neuropsychological deficits that are characteristic of AD.
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Affiliation(s)
- Orestes V Forlenza
- Laboratory of Neuroscience (LIM-27) Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, Rua Doutor Ovídio Pires de Campos 785, 05403-010, São Paulo, SP, Brazil
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26
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Leite CC, Reed UC, Otaduy MCG, Lacerda MTC, Costa MOR, Ferreira LG, Carvalho MS, Resende MBD, Marie SKN, Cerri GG. Congenital Muscular Dystrophy with Merosin Deficiency:1H MR Spectroscopy and Diffusion-weighted MR Imaging. Radiology 2005; 235:190-6. [PMID: 15703311 DOI: 10.1148/radiol.2351031963] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To prospectively use hydrogen 1 ((1)H) magnetic resonance (MR) spectroscopy and apparent diffusion coefficient (ADC) maps to try to explain the discrepancy between the extensive white matter (WM) abnormalities observed at MR imaging and the relatively mild neurocognitive decline in patients with merosin-deficient congenital muscular dystrophy (CMD). MATERIALS AND METHODS The hospital ethics committee approved this study, and informed consent was obtained. Nine patients (five boys, four girls; age range, 3-9 years; mean, 6 years +/- 2 [standard deviation]) with merosin-deficient CMD underwent T1-weighted, T2-weighted, fluid-attenuated inversion recovery, and diffusion-weighted MR imaging and (1)H MR spectroscopy, which was performed in the parieto-occipital WM (POWM) and frontal WM (FWM) by using stimulated-echo acquisition mode. Metabolite (N-acetylaspartate [NAA], choline-containing compounds [Cho], and myo-inositol [mI]) ratios were calculated in relation to creatine/phosphocreatine (Cr) and water (H(2)O). NAA/Cho was also calculated. ADCs were calculated in approximately the same locations that were studied with spectroscopy. For comparison, (1)H MR spectroscopy (n = 10) and ADC mapping (n = 7) were also performed in 10 healthy age- and sex-matched control subjects (three boys, seven girls; age range, 4-9 years; mean, 6 years +/- 1). Statistical analysis involved the t test for comparison between different groups; correlation between ADC and spectroscopy results was studied with the Pearson test. RESULTS MR imaging revealed evidence of bilateral WM involvement in all patients. Whereas their NAA/Cr and Cho/Cr were normal, their mI/Cr was slightly increased compared with that in control subjects (P = .03 in FWM and P = .07 in POWM), and their NAA/Cho was decreased in POWM (P = .03). NAA/H(2)O, Cr/H(2)O, Cho/H(2)O, and mI/H(2)O were considerably decreased (P < .05 for all) and ADC values were increased (P < .001) in WM in all patients versus these values in WM in control subjects. There was significant correlation between ADC values and metabolite/water ratios (r = -0.777 to -0.967, P < .05). CONCLUSION ADC mapping and (1)H MR spectroscopy reveal abnormally high free-water concentrations in the WM of patients with merosin-deficient CMD.
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Affiliation(s)
- Claudia C Leite
- Clinics Hospital of the University of São Paulo, Rua Mário Amaral 81, São Paulo, SP 040020-020, Brazil.
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