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İş Ö, Wang X, Reddy JS, Min Y, Yilmaz E, Bhattarai P, Patel T, Bergman J, Quicksall Z, Heckman MG, Tutor-New FQ, Can Demirdogen B, White L, Koga S, Krause V, Inoue Y, Kanekiyo T, Cosacak MI, Nelson N, Lee AJ, Vardarajan B, Mayeux R, Kouri N, Deniz K, Carnwath T, Oatman SR, Lewis-Tuffin LJ, Nguyen T, Carrasquillo MM, Graff-Radford J, Petersen RC, Jr Jack CR, Kantarci K, Murray ME, Nho K, Saykin AJ, Dickson DW, Kizil C, Allen M, Ertekin-Taner N. Gliovascular transcriptional perturbations in Alzheimer's disease reveal molecular mechanisms of blood brain barrier dysfunction. Nat Commun 2024; 15:4758. [PMID: 38902234 PMCID: PMC11190273 DOI: 10.1038/s41467-024-48926-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 05/17/2024] [Indexed: 06/22/2024] Open
Abstract
To uncover molecular changes underlying blood-brain-barrier dysfunction in Alzheimer's disease, we performed single nucleus RNA sequencing in 24 Alzheimer's disease and control brains and focused on vascular and astrocyte clusters as main cell types of blood-brain-barrier gliovascular-unit. The majority of the vascular transcriptional changes were in pericytes. Of the vascular molecular targets predicted to interact with astrocytic ligands, SMAD3, upregulated in Alzheimer's disease pericytes, has the highest number of ligands including VEGFA, downregulated in Alzheimer's disease astrocytes. We validated these findings with external datasets comprising 4,730 pericyte and 150,664 astrocyte nuclei. Blood SMAD3 levels are associated with Alzheimer's disease-related neuroimaging outcomes. We determined inverse relationships between pericytic SMAD3 and astrocytic VEGFA in human iPSC and zebrafish models. Here, we detect vast transcriptome changes in Alzheimer's disease at the gliovascular-unit, prioritize perturbed pericytic SMAD3-astrocytic VEGFA interactions, and validate these in cross-species models to provide a molecular mechanism of blood-brain-barrier disintegrity in Alzheimer's disease.
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Affiliation(s)
- Özkan İş
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Xue Wang
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Joseph S Reddy
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Yuhao Min
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Elanur Yilmaz
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Prabesh Bhattarai
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Tulsi Patel
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Zachary Quicksall
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Michael G Heckman
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | | | - Birsen Can Demirdogen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Department of Biomedical Engineering, TOBB University of Economics and Technology, Ankara, Turkey
| | - Launia White
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Shunsuke Koga
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Vincent Krause
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Yasuteru Inoue
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Mehmet Ilyas Cosacak
- German Center for Neurodegenerative Diseases (DZNE) within Helmholtz Association, Dresden, Germany
| | - Nastasia Nelson
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Annie J Lee
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Badri Vardarajan
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Richard Mayeux
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Naomi Kouri
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Kaancan Deniz
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Troy Carnwath
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Laura J Lewis-Tuffin
- Mayo Clinic Florida Cytometry and Cell Imaging Laboratory, Mayo Clinic, Jacksonville, FL, USA
| | - Thuy Nguyen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | | | - Ronald C Petersen
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Mayo Clinic Alzheimer's Disease Research Center, Rochester, MN, USA
| | | | - Kejal Kantarci
- Mayo Clinic Alzheimer's Disease Research Center, Rochester, MN, USA
| | | | - Kwangsik Nho
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Caghan Kizil
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Mariet Allen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Nilüfer Ertekin-Taner
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA.
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA.
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Yoo S, Jang Y, Hong SJ, Park H, Valk SL, Bernhardt BC, Park BY. Whole-brain structural connectome asymmetry in autism. Neuroimage 2024; 288:120534. [PMID: 38340881 DOI: 10.1016/j.neuroimage.2024.120534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 01/28/2024] [Accepted: 02/07/2024] [Indexed: 02/12/2024] Open
Abstract
Autism spectrum disorder is a common neurodevelopmental condition that manifests as a disruption in sensory and social skills. Although it has been shown that the brain morphology of individuals with autism is asymmetric, how this differentially affects the structural connectome organization of each hemisphere remains under-investigated. We studied whole-brain structural connectivity-based brain asymmetry in individuals with autism using diffusion magnetic resonance imaging obtained from the Autism Brain Imaging Data Exchange initiative. By leveraging dimensionality reduction techniques, we constructed low-dimensional representations of structural connectivity and calculated their asymmetry index. Comparing the asymmetry index between individuals with autism and neurotypical controls, we found atypical structural connectome asymmetry in the sensory and default-mode regions, particularly showing weaker asymmetry towards the right hemisphere in autism. Network communication provided topological underpinnings by demonstrating that the inferior temporal cortex and limbic and frontoparietal regions showed reduced global network communication efficiency and decreased send-receive network navigation in the inferior temporal and lateral visual cortices in individuals with autism. Finally, supervised machine learning revealed that structural connectome asymmetry could be used as a measure for predicting communication-related autistic symptoms and nonverbal intelligence. Our findings provide insights into macroscale structural connectome alterations in autism and their topological underpinnings.
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Affiliation(s)
- Seulki Yoo
- Convergence Research Institute, Sungkyunkwan University, Suwon, Republic of Korea
| | - Yurim Jang
- Artificial Intelligence Convergence Research Center, Inha University, Incheon, Republic of Korea
| | - Seok-Jun Hong
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - Hyunjin Park
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea; School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Sofie L Valk
- Forschungszentrum Julich, Germany; Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany; Systems Neuroscience, Heinrich Heine University, Duesseldorf, Germany
| | - Boris C Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Bo-Yong Park
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea; Department of Data Science, Inha University, Incheon, Republic of Korea; Department of Statistics and Data Science, Inha University, Incheon, Republic of Korea.
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3
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Kim JP, Nho K, Wang T, Huynh K, Arnold M, Risacher SL, Bice PJ, Han X, Kristal BS, Blach C, Baillie R, Kastenmüller G, Meikle PJ, Saykin AJ, Kaddurah-Daouk R. Circulating lipid profiles are associated with cross-sectional and longitudinal changes of central biomarkers for Alzheimer's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.12.23291054. [PMID: 37398438 PMCID: PMC10312871 DOI: 10.1101/2023.06.12.23291054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Investigating the association of lipidome profiles with central Alzheimer's disease (AD) biomarkers, including amyloid/tau/neurodegeneration (A/T/N), can provide a holistic view between the lipidome and AD. We performed cross-sectional and longitudinal association analysis of serum lipidome profiles with AD biomarkers in the Alzheimer's Disease Neuroimaging Initiative cohort (N=1,395). We identified lipid species, classes, and network modules that were significantly associated with cross-sectional and longitudinal changes of A/T/N biomarkers for AD. Notably, we identified the lysoalkylphosphatidylcholine (LPC(O)) as associated with "A/N" biomarkers at baseline at lipid species, class, and module levels. Also, GM3 ganglioside showed significant association with baseline levels and longitudinal changes of the "N" biomarkers at species and class levels. Our study of circulating lipids and central AD biomarkers enabled identification of lipids that play potential roles in the cascade of AD pathogenesis. Our results suggest dysregulation of lipid metabolic pathways as precursors to AD development and progression.
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Affiliation(s)
- Jun Pyo Kim
- Center for Neuroimaging, Radiology and Imaging Sciences, and the Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Neurology, Samsung Medical Center, Seoul, Korea
| | - Kwangsik Nho
- Center for Neuroimaging, Radiology and Imaging Sciences, and the Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Tingting Wang
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Victoria, Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Victoria, Australia
- Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, Australia
| | - Matthias Arnold
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Shannon L Risacher
- Center for Neuroimaging, Radiology and Imaging Sciences, and the Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Paula J Bice
- Center for Neuroimaging, Radiology and Imaging Sciences, and the Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Xianlin Han
- University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Bruce S Kristal
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Colette Blach
- Duke Molecular Physiology Institute, Duke University, Durham, NC, USA
| | | | - Gabi Kastenmüller
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Victoria, Australia
- Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, Australia
| | - Andrew J Saykin
- Center for Neuroimaging, Radiology and Imaging Sciences, and the Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Duke Institute of Brain Sciences, Duke University, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
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Lee CH, Park H, Lee MJ, Park BY. Whole-brain functional gradients reveal cortical and subcortical alterations in patients with episodic migraine. Hum Brain Mapp 2023; 44:2224-2233. [PMID: 36649309 PMCID: PMC10028679 DOI: 10.1002/hbm.26204] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 12/25/2022] [Accepted: 01/02/2023] [Indexed: 01/18/2023] Open
Abstract
Migraine is a type of headache with multiple neurological symptoms. Prior neuroimaging studies in patients with migraine based on functional magnetic resonance imaging have found regional as well as network-level alterations in brain function. Here, we expand on prior studies by establishing whole-brain functional connectivity patterns in patients with migraine using dimensionality reduction techniques. We studied functional brain connectivity in 50 patients with episodic migraine and sex- and age-matched healthy controls. Using dimensionality reduction techniques that project high-dimensional functional connectivity onto low-dimensional representations (i.e., eigenvectors), we found significant between-group differences in the eigenvectors between patients with migraine and healthy controls, particularly in the sensory/motor and limbic cortices. Furthermore, we assessed between-group differences in subcortical connectivity with subcortical weighted manifolds defined by subcortico-cortical connectivity multiplied by cortical eigenvectors and revealed significant alterations in the amygdala. Finally, leveraging supervised machine learning, we moderately predicted headache frequency using cortical and subcortical functional connectivity features, again indicating that sensory and limbic regions play a particularly important role in predicting migraine frequency. Our study confirmed that migraine is a hierarchical disease of the brain that shows alterations along the sensory-limbic axis, and therefore, the functional connectivity in these areas could be a useful marker to investigate migraine symptomatology.
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Affiliation(s)
- Chae Hyeon Lee
- Department of Statistics, Inha University, Incheon, Republic of Korea
| | - Hyunjin Park
- School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - Mi Ji Lee
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Bo-Yong Park
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
- Department of Data Science, Inha University, Incheon, Republic of Korea
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Chung MK, Hanson JL, Davidson RJ, Pollak SD. Discussion of "LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures". J Am Stat Assoc 2023; 118:20-21. [PMID: 37781353 PMCID: PMC10538555 DOI: 10.1080/01621459.2022.2115916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/11/2022] [Accepted: 08/16/2022] [Indexed: 10/03/2023]
Affiliation(s)
- Moo K Chung
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison
| | | | - Richard J Davidson
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison
- Department of Psychology, University of Wisconsin-Madison
- Center for Healthy Minds, University of Wisconsin - Madison
| | - Seth D Pollak
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison
- Department of Psychology, University of Wisconsin-Madison
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Bharthur Sanjay A, Patania A, Yan X, Svaldi D, Duran T, Shah N, Nemes S, Chen E, Apostolova LG. Characterization of gene expression patterns in mild cognitive impairment using a transcriptomics approach and neuroimaging endophenotypes. Alzheimers Dement 2022; 18:2493-2508. [PMID: 35142026 PMCID: PMC10078657 DOI: 10.1002/alz.12587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 12/10/2021] [Accepted: 12/15/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Identification of novel therapeutics and risk assessment in early stages of Alzheimer's disease (AD) is a crucial aspect of addressing this complex disease. We characterized gene-expression patterns at the mild cognitive impairment (MCI) stage to identify critical mRNA measures and gene clusters associated with AD pathogenesis. METHODS We used a transcriptomics approach, integrating magnetic resonance imaging (MRI) and peripheral blood-based gene expression data using persistent homology (PH) followed by kernel-based clustering. RESULTS We identified three clusters of genes significantly associated with diagnosis of amnestic MCI. The biological processes associated with each cluster were mitochondrial function, NF-kB signaling, and apoptosis. Cluster-level associations with cortical thickness displayed canonical AD-like patterns. Driver genes from clusters were also validated in an external dataset for prediction of amyloidosis and clinical diagnosis. DISCUSSION We found a disease-relevant transcriptomic signature sensitive to prodromal AD and identified a subset of potential therapeutic targets associated with AD pathogenesis.
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Affiliation(s)
| | - Alice Patania
- Indiana University Network Sciences InstituteIndiana UniversityBloomingtonIndianaUSA
| | - Xiaoran Yan
- Indiana University Network Sciences InstituteIndiana UniversityBloomingtonIndianaUSA
| | - Diana Svaldi
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Tugce Duran
- Department of Internal Medicine, Section of Gerontology & Geriatric MedicineWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Niraj Shah
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Sara Nemes
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Eric Chen
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Liana G. Apostolova
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
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Roeske MJ, Lyu I, McHugo M, Blackford JU, Woodward ND, Heckers S. Incomplete Hippocampal Inversion: A Neurodevelopmental Mechanism for Hippocampal Shape Deformation in Schizophrenia. Biol Psychiatry 2022; 92:314-322. [PMID: 35487783 PMCID: PMC9339515 DOI: 10.1016/j.biopsych.2022.02.954] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 02/09/2022] [Accepted: 02/16/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Shape analyses of patients with schizophrenia have revealed bilateral deformations of the anterolateral hippocampus, primarily localized to the CA1 subfield. Incomplete hippocampal inversion (IHI), an anatomical variant of the human hippocampus resulting from an arrest during neurodevelopment, is more prevalent and severe in patients with schizophrenia. We hypothesized that IHI would affect the shape of the hippocampus and contribute to hippocampal shape differences in schizophrenia. METHODS We studied 199 patients with schizophrenia and 161 healthy control participants with structural magnetic resonance imaging to measure the prevalence and severity of IHI. High-fidelity hippocampal surface reconstructions were generated with the SPHARM-PDM toolkit. We used general linear models in SurfStat to test for group shape differences, the impact of IHI on hippocampal shape variation, and whether IHI contributes to hippocampal shape abnormalities in schizophrenia. RESULTS Not including IHI as a main effect in our between-group comparison replicated well-established hippocampal shape differences in patients with schizophrenia localized to the CA1 subfield in the anterolateral hippocampus. Shape differences were also observed near the uncus and hippocampal tail. IHI was associated with outward displacements of the dorsal and ventral surfaces of the hippocampus and inward displacements of the medial and lateral surfaces. Including IHI as a main effect in our between-group comparison eliminated the bilateral shape differences in the CA1 subfield. Shape differences in the uncus persisted after including IHI. CONCLUSIONS IHI impacts hippocampal shape. Our results suggest IHI as a neurodevelopmental mechanism for the well-known shape differences, particularly in the CA1 subfield, in schizophrenia.
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Affiliation(s)
- Maxwell J Roeske
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
| | - Ilwoo Lyu
- Department of Computer Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
| | - Maureen McHugo
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jennifer Urbano Blackford
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee; Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha, Nebraska
| | - Neil D Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
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Heywood A, Stocks J, Schneider JA, Arfanakis K, Bennett DA, Beg MF, Wang L. The unique effect of TDP-43 on hippocampal subfield morphometry and cognition. Neuroimage Clin 2022; 35:103125. [PMID: 36002965 PMCID: PMC9421500 DOI: 10.1016/j.nicl.2022.103125] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/20/2022] [Accepted: 07/22/2022] [Indexed: 01/18/2023]
Abstract
•We explored postmortem TDP-43 burden and antemortem hippocampal surface deformation. •TDP-43 was uniquely associated with inward deformation in the hippocampus. •Deformation patterns account for co-existing disease showing TDP-43′s unique effect. •Deformation was significantly correlated with cognition scores.
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Affiliation(s)
- Ashley Heywood
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Jane Stocks
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | | | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Pyun J, Park YH, Hodges A, Jang J, Bice PJ, Kim S, Saykin AJ, Nho K. Immunity gene IFITM3 variant: Relation to cognition and Alzheimer's disease pathology. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12317. [PMID: 35769874 PMCID: PMC9212215 DOI: 10.1002/dad2.12317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/31/2022] [Accepted: 04/02/2022] [Indexed: 01/29/2023]
Abstract
Introduction We investigated single-nucleotide polymorphisms (SNPs) in IFITM3, an innate immunity gene and modulator of amyloid beta in Alzheimer's disease (AD), for association with cognition and AD biomarkers. Methods We used data from the Alzheimer's Disease Neuroimaging Initiative (ADNI; N = 1565) and AddNeuroMed (N = 633) as discovery and replication samples, respectively. We performed gene-based association analysis of SNPs in IFITM3 with cognitive performance and SNP-based association analysis with cognitive decline and amyloid, tau, and neurodegeneration biomarkers for AD. Results Gene-based association analysis showed that IFITM3 was significantly associated with cognitive performance. Particularly, rs10751647 in IFITM3 was associated with less cognitive decline, less amyloid and tau burden, and less brain atrophy in ADNI. The association of rs10751647 with cognitive decline and brain atrophy was replicated in AddNeuroMed. Discussion This suggests that rs10751647 in IFITM3 is associated with less vulnerability for cognitive decline and AD biomarkers, providing mechanistic insight regarding involvement of immunity and infection in AD. Highlights IFITM3 is significantly associated with cognitive performance.rs10751647 in IFITM3 is associated with cognitive decline rates with replication.rs10751647 is associated with amyloid beta load, cerebrospinal fluid phosphorylated tau levels, and brain atrophy.rs10751647 is associated with IFITM3 expression levels in blood and brain.rs10751647 in IFITM3 is related to less vulnerability to Alzheimer's disease pathogenesis.
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Affiliation(s)
- Jung‐Min Pyun
- Department of NeurologySeoul National University Bundang Hospital and Seoul National University College of MedicineSeongnamRepublic of Korea
- Department of NeurologySoonchunhyang University Seoul HospitalSoonchunhyang University College of MedicineSeoulRepublic of Korea
| | - Young Ho Park
- Department of NeurologySeoul National University Bundang Hospital and Seoul National University College of MedicineSeongnamRepublic of Korea
| | - Angela Hodges
- Institute of PsychiatryPsychology & NeuroscienceKing's College LondonLondonUK
| | - Jae‐Won Jang
- Department of NeurologyKangwon National University HospitalChuncheonRepublic of Korea
| | - Paula J. Bice
- Department of Radiology and Imaging Sciences, and the Indiana Alzheimer Disease CenterIndiana University School of MedicineIndianapolisIndianaUSA
| | - SangYun Kim
- Department of NeurologySeoul National University Bundang Hospital and Seoul National University College of MedicineSeongnamRepublic of Korea
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences, and the Indiana Alzheimer Disease CenterIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences, and the Indiana Alzheimer Disease CenterIndiana University School of MedicineIndianapolisIndianaUSA
- Center for Computational Biology and BioinformaticsIndiana University School of MedicineIndianapolisIndianaUSA
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Weng Y, Yi C, Liang H, Lin K, Zheng X, Xiao J, Han H. The Brain Structural-Functional Vulnerability in Drug-Naive Children With Juvenile Idiopathic Arthritis: Insights From the Hippocampus. Front Hum Neurosci 2022; 16:833602. [PMID: 35370580 PMCID: PMC8973270 DOI: 10.3389/fnhum.2022.833602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 02/28/2022] [Indexed: 11/26/2022] Open
Abstract
Objective Leveraging an integrative multimodal MRI paradigm to elaborate on the hippocampus-derived structural and functional changes in children and adolescents with juvenile idiopathic arthritis (JIA) and to explore potential correlations within the “joint-inflammation-brain” axis during the period of central neural system (CNS) development. Methods Twenty-one patients with JIA all completed the multimodal MRI scanning, laboratory tests, and neuropsychological assessments; meanwhile, 23 matched controls were recruited. We then harnessed the spherical harmonics with a point distribution model (SPHARM-PDM) and the ROI-to-voxel functional connectivity (FC) to measure the hippocampal shape and hippocampo-cortical FC patterns. Correlation analysis was performed to explore the potential links in neuroimaging features with disease-related indices. Results Compared to controls, JIA patients only presented an atrophic tendency in the posterior part of the bilateral hippocampus. The hippocampo-cortical FC revealed the between-group divergences mainly located at the pain matrix, striatum, and temporal lobe. Remarkably, the enhanced FC between the right hippocampus and postcentral cortex is positively correlated with the disability index, while the weakened FC of right anterior hippocampus with right insula and that of left posterior hippocampus with left superior temporal gyrus was inversely related to the erythrocyte sedimentation rate and anxiety status, separately. Conclusion As with macroscopic damages, the altered functional-connectome patterns of the hippocampus in JIA patients might be more sensitive to detect the early neuropathological changes. Moreover, the functional disturbances were demonstrated associated with the physical disability, inflammation, and emotional status. These findings may enlighten us on the underlying neuropathological mechanism of CNS comorbidities in JIA.
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Affiliation(s)
- Yifei Weng
- Department of Radiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Cuili Yi
- Department of Pediatrics, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Hongyan Liang
- Department of Radiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Kezhao Lin
- Department of Pediatrics, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Xiaohuang Zheng
- Department of Pediatrics, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Jihong Xiao
- Department of Pediatrics, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- *Correspondence: Jihong Xiao,
| | - Haiwei Han
- Department of Radiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Haiwei Han, ; orcid.org/0000-0003-3608-4931
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11
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Yan L, Park HR, Kezirian EJ, Yook S, Kim JH, Joo EY, Kim H. Altered regional cerebral blood flow in obstructive sleep apnea is associated with sleep fragmentation and oxygen desaturation. J Cereb Blood Flow Metab 2021; 41:2712-2724. [PMID: 33906511 PMCID: PMC8504950 DOI: 10.1177/0271678x211012109] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Altered cerebral perfusion has been reported in obstructive sleep apnea (OSA). Using dynamic susceptibility contrast MRI, we compared cerebral perfusion between male OSA patients and male healthy reference subjects and assessed correlations of perfusion abnormalities of OSA patients with sleep parameters and neuropsychological deficits at 3 T MRI, polysomnography and neuropsychological tests in 68 patients with OSA and 21 reference subjects. We found lower global and regional cerebral blood flow and cerebral blood volume, localized mainly in bilateral parietal and prefrontal cortices, as well as multiple focal cortical and deep structures related to the default mode network and attention network. In the correlation analysis between regional hypoperfusion and parameters of polysomnography, different patterns of regional hypoperfusion were distinctively associated with parameters of intermittent hypoxia and sleep fragmentation, which involved mainly parietal and orbitofrontal cortices, respectively. There was no association between brain perfusion and cognition in OSA patients in areas where significant association was observed in reference subjects, largely overlapping with nodes of the default mode network and attention network. Our results suggest that impaired cerebral perfusion in important areas of functional networks could be an important pathomechanism of neurocognitive deficits in OSA.
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Affiliation(s)
- Lirong Yan
- Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Hea Ree Park
- Department of Neurology, Inje University College of Medicine, Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Eric J Kezirian
- USC Caruso, Department of Otolaryngology - Head and Neck Surgery, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Soonhyun Yook
- Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Jae-Hun Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Eun Yeon Joo
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hosung Kim
- Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
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12
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Structural volume and cortical thickness differences between males and females in cognitively normal, cognitively impaired and Alzheimer's dementia population. Neurobiol Aging 2021; 106:1-11. [PMID: 34216846 DOI: 10.1016/j.neurobiolaging.2021.05.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 05/24/2021] [Accepted: 05/25/2021] [Indexed: 11/23/2022]
Abstract
We investigated differences due to sex in brain structural volume and cortical thickness in older cognitively normal (N=742), cognitively impaired (MCI; N=540) and Alzheimer's Dementia (AD; N=402) individuals from the ADNI and AIBL datasets (861 Males and 823 Females). General linear models were used to control the effect of relevant covariates including age, intracranial volume, magnetic resonance imaging (MRI) scanner field strength and scanner types. Significant volumetric differences due to sex were observed within different cortical and subcortical regions of the cognitively normal group. The number of significantly different regions was reduced in the MCI group, and no region remained different in the AD group. Cortical thickness was overall thinner in males than females in the cognitively normal group, and likewise, the differences due to sex were reduced in the MCI and AD groups. These findings were sustained after including cerebrospinal fluid (CSF) Tau and phosphorylated tau (pTau) as additional covariates.
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13
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Khan AF, Zhang F, Yuan H, Ding L. Brain-wide functional diffuse optical tomography of resting state networks. J Neural Eng 2021; 18. [PMID: 33946052 DOI: 10.1088/1741-2552/abfdf9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 05/04/2021] [Indexed: 02/07/2023]
Abstract
Objective.Diffuse optical tomography (DOT) has the potential in reconstructing resting state networks (RSNs) in human brains with high spatio-temporal resolutions and multiple contrasts. While several RSNs have been reported and successfully reconstructed using DOT, its full potential in recovering a collective set of distributed brain-wide networks with the number of RSNs close to those reported using functional magnetic resonance imaging (fMRI) has not been demonstrated.Approach.The present study developed a novel brain-wide DOT (BW-DOT) framework that integrates a cap-based whole-head optode placement system with multiple computational approaches, i.e. finite-element modeling, inverse source reconstruction, data-driven pattern recognition, and statistical correlation tomography, to reconstruct RSNs in dual contrasts of oxygenated (HbO) and deoxygenated hemoglobins (HbR).Main results.Our results from the proposed framework revealed a comprehensive set of RSNs and their subnetworks, which collectively cover almost the entire neocortical surface of the human brain, both at the group level and individual participants. The spatial patterns of these DOT RSNs suggest statistically significant similarities to fMRI RSN templates. Our results also reported the networks involving the medial prefrontal cortex and precuneus that had been missed in previous DOT studies. Furthermore, RSNs obtained from HbO and HbR suggest similarity in terms of both the number of RSN types reconstructed and their corresponding spatial patterns, while HbR RSNs show statistically more similarity to fMRI RSN templates and HbO RSNs indicate more bilateral patterns over two hemispheres. In addition, the BW-DOT framework allowed consistent reconstructions of RSNs across individuals and across recording sessions, indicating its high robustness and reproducibility, respectively.Significance.Our present results suggest the feasibility of using the BW-DOT, as a neuroimaging tool, in simultaneously mapping multiple RSNs and its potential values in studying RSNs, particularly in patient populations under diverse conditions and needs, due to its advantages in accessibility over fMRI.
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Affiliation(s)
- Ali F Khan
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States of America
| | - Fan Zhang
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States of America
| | - Han Yuan
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States of America.,Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, Norman, OK, United States of America
| | - Lei Ding
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States of America.,Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, Norman, OK, United States of America
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14
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Pataky TC, Yagi M, Ichihashi N, Cox PG. Landmark-free, parametric hypothesis tests regarding two-dimensional contour shapes using coherent point drift registration and statistical parametric mapping. PeerJ Comput Sci 2021; 7:e542. [PMID: 34084938 PMCID: PMC8157043 DOI: 10.7717/peerj-cs.542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 04/22/2021] [Indexed: 06/12/2023]
Abstract
This paper proposes a computational framework for automated, landmark-free hypothesis testing of 2D contour shapes (i.e., shape outlines), and implements one realization of that framework. The proposed framework consists of point set registration, point correspondence determination, and parametric full-shape hypothesis testing. The results are calculated quickly (<2 s), yield morphologically rich detail in an easy-to-understand visualization, and are complimented by parametrically (or nonparametrically) calculated probability values. These probability values represent the likelihood that, in the absence of a true shape effect, smooth, random Gaussian shape changes would yield an effect as large as the observed one. This proposed framework nevertheless possesses a number of limitations, including sensitivity to algorithm parameters. As a number of algorithms and algorithm parameters could be substituted at each stage in the proposed data processing chain, sensitivity analysis would be necessary for robust statistical conclusions. In this paper, the proposed technique is applied to nine public datasets using a two-sample design, and an ANCOVA design is then applied to a synthetic dataset to demonstrate how the proposed method generalizes to the family of classical hypothesis tests. Extension to the analysis of 3D shapes is discussed.
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Affiliation(s)
- Todd C. Pataky
- Department of Human Health Sciences, Kyoto University, Kyoto, Japan
| | - Masahide Yagi
- Department of Human Health Sciences, Kyoto University, Kyoto, Japan
| | | | - Philip G. Cox
- Department of Archaeology, University of York, York, United Kingdom
- Hull York Medical School, University of York, York, United Kingdom
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15
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Roh H, Kim W, Kim J, Kim JH, Kim JH. Duration-dependent extensive volume and shape changes of mesolimbic structures in surgically treated unilateral patients with temporal lobe epilepsy. Epilepsy Behav 2021; 114:107517. [PMID: 33257292 DOI: 10.1016/j.yebeh.2020.107517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 09/15/2020] [Accepted: 09/20/2020] [Indexed: 11/16/2022]
Abstract
PURPOSE Although surgical treatment of drug-resistant mesial temporal lobe epilepsy (MTLE) has proven efficacy, surgical referrals are often delayed. Knowledge of the abnormalities of mesolimbic structures beyond the hippocampus may be important for patients with MTLE because of its usefulness in the understanding of progressive disabilities in affected structures. This study aimed to identify volume and shape changes of mesolimbic structures in surgically treated patients with unilateral MTLE and their correlation with various clinical parameters. METHODS Twenty-four patients with unilateral MTLE (12 with left MTLE [LMTLE] and 12 with right MTLE [RMTLE]) who were surgically treated with standard temporal lobectomy, including amygdalohippocampectomy, and 24 age- and sex-matched healthy individuals were enrolled. Preoperatively, volumetric analysis using magnetic resonance imaging (MRI) of 27 mesolimbic substructures (11 from each hemisphere and 5 from the midline) was performed. We also investigated the three-dimensional morphometric differences of the mesolimbic structures between the unilateral MTLE and control groups using shape analyses. RESULTS Patients with LMTLE showed significant volume reductions in various ipsilateral mesolimbic (72.7%, 8/11) and contralateral structures (27.3%, 3/11). Patients with RMTLE had also significant reduced volumes in ipsilateral (63.6%, 7/11) and contralateral structures (73.3%, 3/11). Among the clinical parameters, only the duration of epilepsy had a statistically significant inverse correlation with the volumes of the hippocampus, parahippocampus, entorhinal cortex, cingulate, and corpus callosum. In the shape analysis of the bilateral hippocampus, amygdala, parahippocampus, and entorhinal cortex, after accounting for the effects of age and total intracranial volume, significant shape changes in the anterolateral area of the ipsilateral hippocampus were noted, which corresponds to the cornu ammonis (CA)1 and subiculum of the hippocampus. CONCLUSIONS The extensive volume reductions in the multiple mesolimbic structures and the substantial inverse correlation between the duration of epilepsy and the volumes of the various mesolimbic structures in our study supports that MTLE is not restricted to the hippocampus, but it progressively involves extensive mesolimbic structures. The duration-dependent atrophic changes in multiple subcortical structures seen in this study also suggest a positive role of early surgical intervention for patients with drug-resistant TLE.
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Affiliation(s)
- Haewon Roh
- The Department of Neurosurgery, Guro Hospital, Korea University Medicine, Republic of Korea
| | - Won Kim
- The Department of Neurosurgery, Guro Hospital, Korea University Medicine, Republic of Korea
| | - Junwon Kim
- The Department of Neurosurgery, Guro Hospital, Korea University Medicine, Republic of Korea
| | - Ji Hyun Kim
- The Department of Neurology, Guro Hospital, Korea University Medicine, Republic of Korea
| | - Jong Hyun Kim
- The Department of Neurosurgery, Guro Hospital, Korea University Medicine, Republic of Korea.
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16
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Ferrando L, Ventura-Campos N, Epifanio I. Detecting and visualizing differences in brain structures with SPHARM and functional data analysis. Neuroimage 2020; 222:117209. [PMID: 32777356 DOI: 10.1016/j.neuroimage.2020.117209] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 07/24/2020] [Indexed: 01/18/2023] Open
Abstract
A new procedure for classifying brain structures described by SPHARM is presented. We combine a dimension reduction technique (functional principal component analysis or functional independent component analysis) with stepwise variable selection for linear discriminant classification. This procedure is compared with many well-known methods in a novel classification problem in neuroeducation, where the reversal error (a common error in mathematical problem solving) is analyzed by using the left and right putamens of 33 participants. The comparison shows that our proposal not only provides outstanding performance in terms of predictive power, but it is also valuable in terms of interpretation, since it yields a linear discriminant function for 3D structures.
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Affiliation(s)
- L Ferrando
- Grup Neuropsicologia i Neuroimatge Funcional, Universitat Jaume I, Spain
| | - N Ventura-Campos
- Grup Neuropsicologia i Neuroimatge Funcional, Universitat Jaume I, Spain; Dept. Educació i Didàctiques Específiques. Universitat Jaume I, Spain.
| | - I Epifanio
- Dept. Matemàtiques-IF. Universitat Jaume I, Spain
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17
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Martí-Juan G, Sanroma-Guell G, Cacciaglia R, Falcon C, Operto G, Molinuevo JL, González Ballester MÁ, Gispert JD, Piella G. Nonlinear interaction between APOE ε4 allele load and age in the hippocampal surface of cognitively intact individuals. Hum Brain Mapp 2020; 42:47-64. [PMID: 33017488 PMCID: PMC7721244 DOI: 10.1002/hbm.25202] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/16/2020] [Accepted: 08/11/2020] [Indexed: 01/27/2023] Open
Abstract
The ε4 allele of the gene Apolipoprotein E is the major genetic risk factor for Alzheimer's Disease. APOE ε4 has been associated with changes in brain structure in cognitively impaired and unimpaired subjects, including atrophy of the hippocampus, which is one of the brain structures that is early affected by AD. In this work we analyzed the impact of APOE ε4 gene dose and its association with age, on hippocampal shape assessed with multivariate surface analysis, in a ε4‐enriched cohort of n = 479 cognitively healthy individuals. Furthermore, we sought to replicate our findings on an independent dataset of n = 969 individuals covering the entire AD spectrum. We segmented the hippocampus of the subjects with a multi‐atlas‐based approach, obtaining high‐dimensional meshes that can be analyzed in a multivariate way. We analyzed the effects of different factors including APOE, sex, and age (in both cohorts) as well as clinical diagnosis on the local 3D hippocampal surface changes. We found specific regions on the hippocampal surface where the effect is modulated by significant APOE ε4 linear and quadratic interactions with age. We compared between APOE and diagnosis effects from both cohorts, finding similarities between APOE ε4 and AD effects on specific regions, and suggesting that age may modulate the effect of APOE ε4 and AD in a similar way.
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Affiliation(s)
- Gerard Martí-Juan
- BCN MedTech, Departament de Tecnologies de la Informació i les Comunicacions, Universitat Pompeu Fabra, Barcelona, Spain
| | | | - Raffaele Cacciaglia
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Carles Falcon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBERBBN), Madrid, Spain
| | - Grégory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.,Universitat Pompeu Fabra, Barcelona, Spain
| | - Miguel Ángel González Ballester
- BCN MedTech, Departament de Tecnologies de la Informació i les Comunicacions, Universitat Pompeu Fabra, Barcelona, Spain.,ICREA, Barcelona, Spain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBERBBN), Madrid, Spain.,Universitat Pompeu Fabra, Barcelona, Spain
| | - Gemma Piella
- BCN MedTech, Departament de Tecnologies de la Informació i les Comunicacions, Universitat Pompeu Fabra, Barcelona, Spain
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18
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Mostapha M, Kim SH, Evans AC, Dager SR, Estes AM, McKinstry RC, Botteron KN, Gerig G, Pizer SM, Schultz RT, Hazlett HC, Piven J, Girault JB, Shen MD, Styner MA. A Novel Method for High-Dimensional Anatomical Mapping of Extra-Axial Cerebrospinal Fluid: Application to the Infant Brain. Front Neurosci 2020; 14:561556. [PMID: 33132824 PMCID: PMC7561674 DOI: 10.3389/fnins.2020.561556] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 08/21/2020] [Indexed: 12/21/2022] Open
Abstract
Cerebrospinal fluid (CSF) plays an essential role in early postnatal brain development. Extra-axial CSF (EA-CSF) volume, which is characterized by CSF in the subarachnoid space surrounding the brain, is a promising marker in the early detection of young children at risk for neurodevelopmental disorders. Previous studies have focused on global EA-CSF volume across the entire dorsal extent of the brain, and not regionally-specific EA-CSF measurements, because no tools were previously available for extracting local EA-CSF measures suitable for localized cortical surface analysis. In this paper, we propose a novel framework for the localized, cortical surface-based analysis of EA-CSF. The proposed processing framework combines probabilistic brain tissue segmentation, cortical surface reconstruction, and streamline-based local EA-CSF quantification. The quantitative analysis of local EA-CSF was applied to a dataset of typically developing infants with longitudinal MRI scans from 6 to 24 months of age. There was a high degree of consistency in the spatial patterns of local EA-CSF across age using the proposed methods. Statistical analysis of local EA-CSF revealed several novel findings: several regions of the cerebral cortex showed reductions in EA-CSF from 6 to 24 months of age, and specific regions showed higher local EA-CSF in males compared to females. These age-, sex-, and anatomically-specific patterns of local EA-CSF would not have been observed if only a global EA-CSF measure were utilized. The proposed methods are integrated into a freely available, open-source, cross-platform, user-friendly software tool, allowing neuroimaging labs to quantify local extra-axial CSF in their neuroimaging studies to investigate its role in typical and atypical brain development.
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Affiliation(s)
- Mahmoud Mostapha
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States
| | - Sun Hyung Kim
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
| | - Alan C Evans
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, United States
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States
| | - Kelly N Botteron
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States.,Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Guido Gerig
- Department of Computer Science and Engineering, New York University, New York, NY, United States
| | - Stephen M Pizer
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States
| | - Robert T Schultz
- Department of Pediatrics, Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States
| | - Heather C Hazlett
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Carolina Institute for Developmental Disabilities, UNC School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Joseph Piven
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Carolina Institute for Developmental Disabilities, UNC School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Jessica B Girault
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Carolina Institute for Developmental Disabilities, UNC School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Mark D Shen
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Carolina Institute for Developmental Disabilities, UNC School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States.,UNC Neuroscience Center, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Martin A Styner
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States.,Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
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19
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Ma D, Cardoso MJ, Zuluaga MA, Modat M, Powell NM, Wiseman FK, Cleary JO, Sinclair B, Harrison IF, Siow B, Popuri K, Lee S, Matsubara JA, Sarunic MV, Beg MF, Tybulewicz VLJ, Fisher EMC, Lythgoe MF, Ourselin S. Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI. Neuroimage 2020; 223:117271. [PMID: 32835824 PMCID: PMC8417772 DOI: 10.1016/j.neuroimage.2020.117271] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 08/03/2020] [Accepted: 08/10/2020] [Indexed: 12/18/2022] Open
Abstract
Down Syndrome is a chromosomal disorder that affects the development of cerebellar cortical lobules. Impaired neurogenesis in the cerebellum varies among different types of neuronal cells and neuronal layers. In this study, we developed an imaging analysis framework that utilizes gadolinium-enhanced ex vivo mouse brain MRI. We extracted the middle Purkinje layer of the mouse cerebellar cortex, enabling the estimation of the volume, thickness, and surface area of the entire cerebellar cortex, the internal granular layer, and the molecular layer in the Tc1 mouse model of Down Syndrome. The morphometric analysis of our method revealed that a larger proportion of the cerebellar thinning in this model of Down Syndrome resided in the inner granule cell layer, while a larger proportion of the surface area shrinkage was in the molecular layer.
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Affiliation(s)
- Da Ma
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Centre for Advanced Biomedical Imaging, University College London, United Kingdom; School of Engineering Science, Simon Fraser University, Burnaby, Canada.
| | - Manuel J Cardoso
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Maria A Zuluaga
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Data Science Department, EURECOM, France
| | - Marc Modat
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Nick M Powell
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Centre for Advanced Biomedical Imaging, University College London, United Kingdom
| | - Frances K Wiseman
- UK Dementia Research Institute at University College London, UK London; Down Syndrome Consortium (LonDownS), London, United Kingdom
| | - Jon O Cleary
- Centre for Advanced Biomedical Imaging, University College London, United Kingdom; Department of Radiology, Guy´s and St Thomas' NHS Foundation Trust, United Kingdom; Melbourne Brain Centre Imaging Unit, Department of Medicine and Radiology, University of Melbourne, Melbourne, Australia
| | - Benjamin Sinclair
- Centre for Advanced Biomedical Imaging, University College London, United Kingdom
| | - Ian F Harrison
- Centre for Advanced Biomedical Imaging, University College London, United Kingdom
| | - Bernard Siow
- Centre for Advanced Biomedical Imaging, University College London, United Kingdom; The Francis Crick Institute, London, United Kingdom
| | - Karteek Popuri
- School of Engineering Science, Simon Fraser University, Burnaby, Canada
| | - Sieun Lee
- School of Engineering Science, Simon Fraser University, Burnaby, Canada
| | - Joanne A Matsubara
- Department of Ophthalmology & Visual Science, University of British Columbia, Vancouver, Canada
| | - Marinko V Sarunic
- School of Engineering Science, Simon Fraser University, Burnaby, Canada
| | - Mirza Faisal Beg
- School of Engineering Science, Simon Fraser University, Burnaby, Canada
| | - Victor L J Tybulewicz
- The Francis Crick Institute, London, United Kingdom; Department of Immunology and Inflammation, Imperial College, London, United Kingdom
| | | | - Mark F Lythgoe
- Centre for Advanced Biomedical Imaging, University College London, United Kingdom
| | - Sebastien Ourselin
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
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20
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Nho K, Nudelman K, Allen M, Hodges A, Kim S, Risacher SL, Apostolova LG, Lin K, Lunnon K, Wang X, Burgess JD, Ertekin-Taner N, Petersen RC, Wang L, Qi Z, He A, Neuhaus I, Patel V, Foroud T, Faber KM, Lovestone S, Simmons A, Weiner MW, Saykin AJ. Genome-wide transcriptome analysis identifies novel dysregulated genes implicated in Alzheimer's pathology. Alzheimers Dement 2020; 16:1213-1223. [PMID: 32755048 DOI: 10.1002/alz.12092] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 01/23/2020] [Accepted: 02/21/2020] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Abnormal gene expression patterns may contribute to the onset and progression of late-onset Alzheimer's disease (LOAD). METHODS We performed transcriptome-wide meta-analysis (N = 1440) of blood-based microarray gene expression profiles as well as neuroimaging and cerebrospinal fluid (CSF) endophenotype analysis. RESULTS We identified and replicated five genes (CREB5, CD46, TMBIM6, IRAK3, and RPAIN) as significantly dysregulated in LOAD. The most significantly altered gene, CREB5, was also associated with brain atrophy and increased amyloid beta (Aβ) accumulation, especially in the entorhinal cortex region. cis-expression quantitative trait loci mapping analysis of CREB5 detected five significant associations (P < 5 × 10-8 ), where rs56388170 (most significant) was also significantly associated with global cortical Aβ deposition measured by [18 F]Florbetapir positron emission tomography and CSF Aβ1-42 . DISCUSSION RNA from peripheral blood indicated a differential gene expression pattern in LOAD. Genes identified have been implicated in biological processes relevant to Alzheimer's disease. CREB, in particular, plays a key role in nervous system development, cell survival, plasticity, and learning and memory.
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Affiliation(s)
- Kwangsik Nho
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana.,Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana.,Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana
| | - Kelly Nudelman
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana.,Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana.,Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.,National Centralized Repository for Alzheimer's Disease and Related Dementias, Indiana University, Indiana
| | - Mariet Allen
- Department of Neuroscience, Mayo Clinic Florida, Jacksonville, Florida
| | - Angela Hodges
- Psychology & Neuroscience, Institute of Psychiatry, King's college London, London, UK
| | - Sungeun Kim
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana.,Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana.,Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana.,Department of Electrical and Computer Engineering, State University of New York, Oswego, New York
| | - Shannon L Risacher
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana.,Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana
| | - Liana G Apostolova
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana.,Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana
| | - Kuang Lin
- Psychology & Neuroscience, Institute of Psychiatry, King's college London, London, UK
| | | | - Xue Wang
- Department of Health Sciences Research, Mayo Clinic Florida, Jacksonville, Florida
| | - Jeremy D Burgess
- Department of Neuroscience, Mayo Clinic Florida, Jacksonville, Florida
| | - Nilüfer Ertekin-Taner
- Department of Neuroscience, Mayo Clinic Florida, Jacksonville, Florida.,Department of Neurology, Mayo Clinic Florida, Jacksonville, Florida
| | - Ronald C Petersen
- Department of Neurology, Mayo Clinic Minnesota, Rochester, Minnesota
| | - Lisu Wang
- Bristol-Meyers Squibb, Wallingford, Connecticut
| | - Zhenhao Qi
- Bristol-Meyers Squibb, Wallingford, Connecticut
| | - Aiqing He
- Bristol-Meyers Squibb, Wallingford, Connecticut
| | | | | | - Tatiana Foroud
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana.,Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana.,Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.,National Centralized Repository for Alzheimer's Disease and Related Dementias, Indiana University, Indiana
| | - Kelley M Faber
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.,National Centralized Repository for Alzheimer's Disease and Related Dementias, Indiana University, Indiana
| | | | - Andrew Simmons
- Psychology & Neuroscience, Institute of Psychiatry, King's college London, London, UK
| | - Michael W Weiner
- Departments of Radiology, Medicine, and Psychiatry, University of California-San Francisco, San Francisco, California.,Department of Veterans Affairs Medical Center, San Francisco, California
| | - Andrew J Saykin
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana.,Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana.,Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
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21
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Weng Y, Larivière S, Caciagli L, Vos de Wael R, Rodríguez-Cruces R, Royer J, Xu Q, Bernasconi N, Bernasconi A, Thomas Yeo BT, Lu G, Zhang Z, Bernhardt BC. Macroscale and microcircuit dissociation of focal and generalized human epilepsies. Commun Biol 2020; 3:244. [PMID: 32424317 PMCID: PMC7234993 DOI: 10.1038/s42003-020-0958-5] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 04/15/2020] [Indexed: 01/01/2023] Open
Abstract
Thalamo-cortical pathology plays key roles in both generalized and focal epilepsies, but there is little work directly comparing these syndromes at the level of whole-brain mechanisms. Using multimodal imaging, connectomics, and computational simulations, we examined thalamo-cortical and cortico-cortical signatures and underlying microcircuits in 96 genetic generalized (GE) and 107 temporal lobe epilepsy (TLE) patients, along with 65 healthy controls. Structural and functional network profiling highlighted extensive atrophy, microstructural disruptions and decreased thalamo-cortical connectivity in TLE, while GE showed only subtle structural anomalies paralleled by enhanced thalamo-cortical connectivity. Connectome-informed biophysical simulations indicated modest increases in subcortical drive contributing to cortical dynamics in GE, while TLE presented with reduced subcortical drive and imbalanced excitation-inhibition within limbic and somatomotor microcircuits. Multiple sensitivity analyses supported robustness. Our multiscale analyses differentiate human focal and generalized epilepsy at the systems-level, showing paradoxically more severe microcircuit and macroscale imbalances in the former.
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Affiliation(s)
- Yifei Weng
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, QC, H3A2B4, Canada
| | - Sara Larivière
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, QC, H3A2B4, Canada
| | - Lorenzo Caciagli
- University College London Queen Square Institute of Neurology, London, United Kingdom
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Reinder Vos de Wael
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, QC, H3A2B4, Canada
| | - Raúl Rodríguez-Cruces
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, QC, H3A2B4, Canada
| | - Jessica Royer
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, QC, H3A2B4, Canada
| | - Qiang Xu
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Neda Bernasconi
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, QC, H3A2B4, Canada
| | - Andrea Bernasconi
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, QC, H3A2B4, Canada
| | - B T Thomas Yeo
- Department of Electrical and Computer Engineering, Centre for Sleep and Cognition, Clinical Imaging Research Centre and N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - Guangming Lu
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Zhiqiang Zhang
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
| | - Boris C Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, QC, H3A2B4, Canada.
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22
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Jenkins LM, Garner CR, Kurian S, Higgins JP, Parrish TB, Sedaghat S, Nemeth AJ, Lloyd-Jones DM, Launer LJ, Hausdorff JM, Wang L, Sorond FA. Cumulative Blood Pressure Exposure, Basal Ganglia, and Thalamic Morphology in Midlife. Hypertension 2020; 75:1289-1295. [PMID: 32223376 DOI: 10.1161/hypertensionaha.120.14678] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
High blood pressure (BP) negatively affects brain structure and function. Hypertension is associated with white matter hyperintensities, cognitive and mobility impairment in late-life. However, the impact of BP exposure from young adulthood on brain structure and function in mid-life is unclear. Identifying early brain structural changes associated with BP exposure, before clinical onset of cognitive dysfunction and mobility impairment, is essential for understanding mechanisms and developing interventions. We examined the effect of cumulative BP exposure from young adulthood on brain structure in a substudy of 144 (61 female) individuals from the CARDIA (Coronary Artery Risk Development in Young Adults) study. At year 30 (Y30, ninth visit), participants (56±4 years old) completed brain magnetic resonance imaging and gait measures (pace, rhythm, and postural control). Cumulative systolic and diastolic BP (cumulative systolic blood pressure, cDBP) over 9 visits were calculated, multiplying mean values between 2 consecutive visits by years between visits. Surface-based analysis of basal ganglia and thalamus was achieved using FreeSurfer-initiated Large Deformation Diffeomorphic Metric Mapping. Morphometric changes were regressed onto cumulative BP to localize regions of shape variation. Y30 white matter hyperintensity volumes were small and positively correlated with cumulative BP but not gait. Negative morphometric associations with cumulative systolic blood pressure were seen in the caudate, putamen, nucleus accumbens, pallidum, and thalamus. A concave right medial putamen shape mediated the relationship between cumulative systolic blood pressure and stride width. Basal ganglia and thalamic morphometric changes, rather than volumes, may be earlier manifestation of gray matter structural signatures of BP exposure that impact midlife gait.
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Affiliation(s)
- Lisanne M Jenkins
- From the Department of Psychiatry and Behavioral Sciences (L.M.J., L.W.), Northwestern University, Chicago, IL
| | - Chaney R Garner
- Department of Neurology (C.R.G., S.K., S.S., A.J.N., F.A.S.), Northwestern University, Chicago, IL
| | - Shawn Kurian
- Department of Neurology (C.R.G., S.K., S.S., A.J.N., F.A.S.), Northwestern University, Chicago, IL
| | - James P Higgins
- Department of Radiology (J.P.H., T.B.P., A.J.N., L.W.), Northwestern University, Chicago, IL
| | - Todd B Parrish
- Department of Radiology (J.P.H., T.B.P., A.J.N., L.W.), Northwestern University, Chicago, IL
| | - Sanaz Sedaghat
- Department of Neurology (C.R.G., S.K., S.S., A.J.N., F.A.S.), Northwestern University, Chicago, IL.,Department of Preventive Medicine (S.S., D.M.L.-J.), Northwestern University, Chicago, IL
| | - Alexander J Nemeth
- Department of Neurology (C.R.G., S.K., S.S., A.J.N., F.A.S.), Northwestern University, Chicago, IL.,Department of Radiology (J.P.H., T.B.P., A.J.N., L.W.), Northwestern University, Chicago, IL
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine (S.S., D.M.L.-J.), Northwestern University, Chicago, IL
| | | | - Jeffrey M Hausdorff
- Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center (J.M.H.)
| | - Lei Wang
- From the Department of Psychiatry and Behavioral Sciences (L.M.J., L.W.), Northwestern University, Chicago, IL.,Department of Radiology (J.P.H., T.B.P., A.J.N., L.W.), Northwestern University, Chicago, IL
| | - Farzaneh A Sorond
- Department of Neurology (C.R.G., S.K., S.S., A.J.N., F.A.S.), Northwestern University, Chicago, IL
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23
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Lewis-de Los Angeles CP, Williams PL, Jenkins LM, Huo Y, Malee K, Alpert KI, Uban KA, Herting MM, Csernansky JG, Nichols SL, Van Dyke RB, Sowell ER, Wang L. Brain morphometric differences in youth with and without perinatally-acquired HIV: A cross-sectional study. NEUROIMAGE-CLINICAL 2020; 26:102246. [PMID: 32251906 PMCID: PMC7132093 DOI: 10.1016/j.nicl.2020.102246] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 03/13/2020] [Accepted: 03/14/2020] [Indexed: 12/20/2022]
Abstract
We performed vertex-wise analyses comparing grey matter in youth with and without perinatally-acquired HIV (PHIV). PHIV youth had reduced cortical thickness, surface area, and gyrification compared to control youth. PHIV youth did not exhibit the same pattern of inverse grey matter-age relationships that were observed in control youth.
Youth with perinatally-acquired HIV (PHIV) experience specific and global cognitive deficits at increased rates compared to typically-developing HIV-uninfected youth. In youth with PHIV, HIV infects the brain early in development. Neuroimaging studies have demonstrated altered grey matter morphometry in youth with PHIV compared to typically-developing youth. This study examined cortical thickness, surface area, and gyrification of grey matter in youth (age 11–20 years old) with PHIV (n = 40) from the Pediatric HIV/AIDS Cohort Study (PHACS) compared to typically-developing presumed HIV uninfected and unexposed youth (n = 80) from the Pediatric Imaging, Neurocognition and Genetics Study (PING) using structural magnetic resonance imaging. This study also examined the relationship between grey matter morphometry and age. Youth with PHIV had reduced cortical thickness, surface area, and gyrification compared to typically-developing youth. In addition, an inverse relationship between age and grey matter volume was found in typically-developing youth, but was not observed in youth with PHIV. Longitudinal studies are necessary to understand the neurodevelopmental trajectory of youth with PHIV.
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Affiliation(s)
| | - Paige L Williams
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston MA, USA; Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lisanne M Jenkins
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA
| | - Yanling Huo
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kathleen Malee
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA
| | - Kathryn I Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA
| | - Kristina A Uban
- Department of Public Health, University of California Irvine, Irvine, CA, USA
| | - Megan M Herting
- Department of Preventative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - John G Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA
| | - Sharon L Nichols
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Russell B Van Dyke
- Department of Pediatrics, Tulane University School of Medicine, New Orleans, LA, USA
| | - Elizabeth R Sowell
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA; Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA; Department of Radiology, Northwestern University, Chicago, IL, USA.
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24
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Bringas Vega ML, Guo Y, Tang Q, Razzaq FA, Calzada Reyes A, Ren P, Paz Linares D, Galan Garcia L, Rabinowitz AG, Galler JR, Bosch-Bayard J, Valdes Sosa PA. An Age-Adjusted EEG Source Classifier Accurately Detects School-Aged Barbadian Children That Had Protein Energy Malnutrition in the First Year of Life. Front Neurosci 2019; 13:1222. [PMID: 31866804 PMCID: PMC6905178 DOI: 10.3389/fnins.2019.01222] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 10/29/2019] [Indexed: 01/22/2023] Open
Abstract
We have identified an electroencephalographic (EEG) based statistical classifier that correctly distinguishes children with histories of Protein Energy Malnutrition (PEM) in the first year of life from healthy controls with 0.82% accuracy (area under the ROC curve). Our previous study achieved similar accuracy but was based on scalp quantitative EEG features that precluded anatomical interpretation. We have now employed BC-VARETA, a novel high-resolution EEG source imaging method with minimal leakage and maximal sparseness, which allowed us to identify a classifier in the source space. The EEGs were recorded in 1978 in a sample of 108 children who were 5-11 years old and were participants in the 45+ year longitudinal Barbados Nutrition Study. The PEM cohort experienced moderate-severe PEM limited to the first year of life and were age, handedness and gender-matched with healthy classmates who served as controls. In the current study, we utilized a machine learning approach based on the elastic net to create a stable sparse classifier. Interestingly, the classifier was driven predominantly by nutrition group differences in alpha activity in the lingual gyrus. This structure is part of the pathway associated with generating alpha rhythms that increase with normal maturation. Our findings indicate that the PEM group showed a significant decrease in alpha activity, suggestive of a delay in brain development. Childhood malnutrition is still a serious worldwide public health problem and its consequences are particularly severe when present during early life. Deficits during this critical period are permanent and predict impaired cognitive and behavioral functioning later in life. Our EEG source classifier may provide a functionally interpretable diagnostic technology to study the effects of early childhood malnutrition on the brain, and may have far-reaching applicability in low resource settings.
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Affiliation(s)
- Maria L. Bringas Vega
- The Clinical Hospital of Chengdu Brain Sciences, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, Havana, Cuba
| | - Yanbo Guo
- The Clinical Hospital of Chengdu Brain Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Qin Tang
- The Clinical Hospital of Chengdu Brain Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Fuleah A. Razzaq
- The Clinical Hospital of Chengdu Brain Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | | | - Peng Ren
- The Clinical Hospital of Chengdu Brain Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Deirel Paz Linares
- The Clinical Hospital of Chengdu Brain Sciences, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, Havana, Cuba
| | | | | | - Janina R. Galler
- Division of Pediatric Gastroenterology and Nutrition, Massachusetts General Hospital for Children, Boston, MA, United States
| | - Jorge Bosch-Bayard
- The Clinical Hospital of Chengdu Brain Sciences, University of Electronic Science and Technology of China, Chengdu, China
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Pedro A. Valdes Sosa
- The Clinical Hospital of Chengdu Brain Sciences, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, Havana, Cuba
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25
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Jenkins LM, Chiang JJ, Vause K, Hoffer L, Alpert K, Parrish TB, Wang L, Miller GE. Subcortical structural variations associated with low socioeconomic status in adolescents. Hum Brain Mapp 2019; 41:162-171. [PMID: 31571360 PMCID: PMC7268024 DOI: 10.1002/hbm.24796] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 08/30/2019] [Accepted: 09/03/2019] [Indexed: 12/15/2022] Open
Abstract
Low socioeconomic status (SES) is associated with a higher probability of multiple exposures (e.g., neighborhood violence, poor nutrition, housing instability, air pollution, and insensitive caregiving) known to affect structural development of subcortical brain regions that subserve threat and reward processing, however, few studies have examined the relationship between SES and such subcortical structures in adolescents. We examined SES variations in volume and surface morphometry of subcortical regions. The sample comprised 256 youth in eighth grade (mean age = 13.9 years), in whom high dimensional deformation mapping of structural 3T magnetic resonance imaging scans was performed. Vertex‐wise linear regression analyses examined associations between income to poverty ratio and surfaces of the hippocampus, amygdala, thalamus, caudate, putamen, nucleus accumbens and pallidum, with the covariates age, pubertal status, and intracranial volume. Given sex differences in pubertal development and subcortical maturation at this age, the analyses were stratified by sex. Among males, who at this age average an earlier pubertal stage than females, the relationship between SES and local shape variation in subcortical regions was almost entirely positive. For females, the relationship between SES and local shape variation was negative. Racial identity was associated with SES in our sample, however supplementary analyses indicated that most of the associations between SES and subcortical structure were independent of it. Although these cross‐sectional results are not definitive, they are consistent with a scenario where low SES delays structural maturation of subcortical regions involved with threat and reward processing. Future longitudinal studies are needed to test this hypothesis.
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Affiliation(s)
- Lisanne M Jenkins
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, Illinois
| | - Jessica J Chiang
- Department of, Psychology and Institute for Policy Research, Northwestern University, Chicago, Illinois
| | - Katherine Vause
- Department of, Psychology and Institute for Policy Research, Northwestern University, Chicago, Illinois
| | - Lauren Hoffer
- Department of, Psychology and Institute for Policy Research, Northwestern University, Chicago, Illinois
| | - Kathryn Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, Illinois
| | - Todd B Parrish
- Department of Radiology, Northwestern University, Chicago, Illinois.,Department Biomedical Engineering, Northwestern University, Chicago, Illinois
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, Illinois.,Department of Radiology, Northwestern University, Chicago, Illinois
| | - Gregory E Miller
- Department of, Psychology and Institute for Policy Research, Northwestern University, Chicago, Illinois
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26
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Xia J, Wang F, Wu Z, Wang L, Zhang C, Shen D, Li G. Mapping hemispheric asymmetries of the macaque cerebral cortex during early brain development. Hum Brain Mapp 2019; 41:95-106. [PMID: 31532054 PMCID: PMC7267900 DOI: 10.1002/hbm.24789] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 05/29/2019] [Accepted: 06/05/2019] [Indexed: 11/10/2022] Open
Abstract
Studying cortical hemispheric asymmetries during the dynamic early postnatal stages in macaque monkeys (with close phylogenetic relationship to humans) would increase our limited understanding on the possible origins, developmental trajectories, and evolutional mechanisms of brain asymmetries in nonhuman primates, but remains a blind spot to the community. Via cortical surface-based morphometry, we comprehensively analyze hemispheric structural asymmetries in 134 longitudinal MRI scans from birth to 20 months of age from 32 healthy macaque monkeys. We reveal that most clusters of hemispheric asymmetries of cortical properties, such as surface area, cortical thickness, sulcal depth, and vertex positions, expand in the first 4 months of life, and evolve only moderately thereafter. Prominent hemispheric asymmetries are found at the inferior frontal gyrus, precentral gyrus, posterior temporal cortex, superior temporal gyrus (STG), superior temporal sulcus (STS), and cingulate cortex. Specifically, the left planum temporale and left STG consistently have larger area and thicker cortices than those on the right hemisphere, while the right STS, right cingulate cortex, and right anterior insula are consistently deeper than the left ones, partially consistent with the findings in human infants and adults. Our results thus provide a valuable reference in studying early brain development and evolution.
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Affiliation(s)
- Jing Xia
- Department of Computer Science and Technology, Shandong University, Jinan, Shandong, China.,Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Fan Wang
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Zhengwang Wu
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Li Wang
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Caiming Zhang
- Department of Computer Science and Technology, Shandong University, Jinan, Shandong, China
| | - Dinggang Shen
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.,Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - Gang Li
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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27
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Nho K, Kueider-Paisley A, Ahmad S, MahmoudianDehkordi S, Arnold M, Risacher SL, Louie G, Blach C, Baillie R, Han X, Kastenmüller G, Trojanowski JQ, Shaw LM, Weiner MW, Doraiswamy PM, van Duijn C, Saykin AJ, Kaddurah-Daouk R. Association of Altered Liver Enzymes With Alzheimer Disease Diagnosis, Cognition, Neuroimaging Measures, and Cerebrospinal Fluid Biomarkers. JAMA Netw Open 2019; 2:e197978. [PMID: 31365104 PMCID: PMC6669786 DOI: 10.1001/jamanetworkopen.2019.7978] [Citation(s) in RCA: 125] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
IMPORTANCE Increasing evidence suggests an important role of liver function in the pathophysiology of Alzheimer disease (AD). The liver is a major metabolic hub; therefore, investigating the association of liver function with AD, cognition, neuroimaging, and CSF biomarkers would improve the understanding of the role of metabolic dysfunction in AD. OBJECTIVE To examine whether liver function markers are associated with cognitive dysfunction and the "A/T/N" (amyloid, tau, and neurodegeneration) biomarkers for AD. DESIGN, SETTING, AND PARTICIPANTS In this cohort study, serum-based liver function markers were measured from September 1, 2005, to August 31, 2013, in 1581 AD Neuroimaging Initiative participants along with cognitive measures, cerebrospinal fluid (CSF) biomarkers, brain atrophy, brain glucose metabolism, and amyloid-β accumulation. Associations of liver function markers with AD-associated clinical and A/T/N biomarkers were assessed using generalized linear models adjusted for confounding variables and multiple comparisons. Statistical analysis was performed from November 1, 2017, to February 28, 2019. EXPOSURES Five serum-based liver function markers (total bilirubin, albumin, alkaline phosphatase, alanine aminotransferase, and aspartate aminotransferase) from AD Neuroimaging Initiative participants were used as exposure variables. MAIN OUTCOMES AND MEASURES Primary outcomes included diagnosis of AD, composite scores for executive functioning and memory, CSF biomarkers, atrophy measured by magnetic resonance imaging, brain glucose metabolism measured by fludeoxyglucose F 18 (18F) positron emission tomography, and amyloid-β accumulation measured by [18F]florbetapir positron emission tomography. RESULTS Participants in the AD Neuroimaging Initiative (n = 1581; 697 women and 884 men; mean [SD] age, 73.4 [7.2] years) included 407 cognitively normal older adults, 20 with significant memory concern, 298 with early mild cognitive impairment, 544 with late mild cognitive impairment, and 312 with AD. An elevated aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio and lower levels of ALT were associated with AD diagnosis (AST to ALT ratio: odds ratio, 7.932 [95% CI, 1.673-37.617]; P = .03; ALT: odds ratio, 0.133 [95% CI, 0.042-0.422]; P = .004) and poor cognitive performance (AST to ALT ratio: β [SE], -0.465 [0.180]; P = .02 for memory composite score; β [SE], -0.679 [0.215]; P = .006 for executive function composite score; ALT: β [SE], 0.397 [0.128]; P = .006 for memory composite score; β [SE], 0.637 [0.152]; P < .001 for executive function composite score). Increased AST to ALT ratio values were associated with lower CSF amyloid-β 1-42 levels (β [SE], -0.170 [0.061]; P = .04) and increased amyloid-β deposition (amyloid biomarkers), higher CSF phosphorylated tau181 (β [SE], 0.175 [0.055]; P = .02) (tau biomarkers) and higher CSF total tau levels (β [SE], 0.160 [0.049]; P = .02) and reduced brain glucose metabolism (β [SE], -0.123 [0.042]; P = .03) (neurodegeneration biomarkers). Lower levels of ALT were associated with increased amyloid-β deposition (amyloid biomarkers), and reduced brain glucose metabolism (β [SE], 0.096 [0.030]; P = .02) and greater atrophy (neurodegeneration biomarkers). CONCLUSIONS AND RELEVANCE Consistent associations of serum-based liver function markers with cognitive performance and A/T/N biomarkers for AD highlight the involvement of metabolic disturbances in the pathophysiology of AD. Further studies are needed to determine if these associations represent a causative or secondary role. Liver enzyme involvement in AD opens avenues for novel diagnostics and therapeutics.
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Affiliation(s)
- Kwangsik Nho
- Center for Computational Biology and Bioinformatics, Indiana Alzheimer Disease Center, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis
| | | | - Shahzad Ahmad
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | | | - Matthias Arnold
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Shannon L. Risacher
- Center for Computational Biology and Bioinformatics, Indiana Alzheimer Disease Center, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis
| | - Gregory Louie
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina
| | - Colette Blach
- Duke Molecular Physiology Institute, Duke University, Durham, North Carolina
| | | | - Xianlin Han
- University of Texas Health Science Center at San Antonio, San Antonio
| | - Gabi Kastenmüller
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - John Q. Trojanowski
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia
| | - Michael W. Weiner
- Center for Imaging of Neurodegenerative Diseases, Department of Radiology, San Francisco Veterans Affairs Medical Center and University of California, San Francisco
| | - P. Murali Doraiswamy
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina
- Duke Institute of Brain Sciences, Duke University, Durham, North Carolina
- Department of Medicine, Duke University, Durham, North Carolina
| | - Cornelia van Duijn
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands
- Nuffield Department of Population Health, Oxford University, Oxford, United Kingdom
| | - Andrew J. Saykin
- Center for Computational Biology and Bioinformatics, Indiana Alzheimer Disease Center, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina
- Duke Institute of Brain Sciences, Duke University, Durham, North Carolina
- Department of Medicine, Duke University, Durham, North Carolina
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Abstract
OBJECTIVES With an increasing aging population, it is important to understand biological markers of aging. Subcortical volume is known to differ with age; additionally considering shape-related characteristics may provide a better index of age-related differences. Fractal dimensionality is more sensitive to age-related differences, but is borne out of mathematical principles, rather than neurobiological relevance. We considered four distinct measures of shape and how they relate to aging and fractal dimensionality: surface-to-volume ratio, sphericity, long-axis curvature, and surface texture. METHODS Structural MRIs from a combined sample of over 600 healthy adults were used to measure age-related differences in the structure of the thalamus, putamen, caudate, and hippocampus. For each, volume and fractal dimensionality were calculated, as well as four distinct shape measures. These measures were examined for their utility in explaining age-related variability in brain structure. RESULTS The four shape measures were able to account for 80%-90% of the variance in fractal dimensionality. Of the distinct shape measures, surface-to-volume ratio was the most sensitive biomarker. CONCLUSION Though volume is often used to characterize inter-individual differences in subcortical structures, our results demonstrate that additional measures can be useful complements. Our results indicate that shape characteristics are useful biological markers of aging.
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Affiliation(s)
- Christopher R Madan
- a School of Psychology , University of Nottingham , Nottingham , UK.,b Department of Psychology , Boston College , Chestnut Hill , MA , USA
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Hanko V, Apple AC, Alpert KI, Warren KN, Schneider JA, Arfanakis K, Bennett DA, Wang L. In vivo hippocampal subfield shape related to TDP-43, amyloid beta, and tau pathologies. Neurobiol Aging 2019; 74:171-181. [PMID: 30453234 PMCID: PMC6331233 DOI: 10.1016/j.neurobiolaging.2018.10.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 09/14/2018] [Accepted: 10/10/2018] [Indexed: 12/31/2022]
Abstract
Despite advances in the development of biomarkers for Alzheimer's disease (AD), accurate ante-mortem diagnosis remains challenging because a variety of neuropathologic disease states can coexist and contribute to the AD dementia syndrome. Here, we report a neuroimaging study correlating hippocampal deformity with regional AD and transactive response DNA-binding protein of 43 kDA pathology burden. We used hippocampal shape analysis of ante-mortem T1-weighted structural magnetic resonance imaging images of 42 participants from two longitudinal cohort studies conducted by the Rush Alzheimer's Disease Center. Surfaces were generated for the whole hippocampus and zones approximating the underlying subfields using a previously developed automated image-segmentation pipeline. Multiple linear regression models were constructed to correlate the shape with pathology measures while accounting for covariates, with relationships mapped out onto hippocampal surface locations. A significant relationship existed between higher paired helical filaments-tau burden and inward hippocampal shape deformity in zones approximating CA1 and subiculum which persisted after accounting for coexisting pathologies. No significant patterns of inward surface deformity were associated with amyloid-beta or transactive response DNA-binding protein of 43 kDA after including covariates. Our findings indicate that hippocampal shape deformity measures in surface zones approximating CA1 may represent a biomarker for postmortem AD pathology.
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Affiliation(s)
- Veronika Hanko
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alexandra C Apple
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kathryn I Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kristen N Warren
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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30
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Nho K, Kueider-Paisley A, MahmoudianDehkordi S, Arnold M, Risacher SL, Louie G, Blach C, Baillie R, Han X, Kastenmüller G, Jia W, Xie G, Ahmad S, Hankemeier T, van Duijn CM, Trojanowski JQ, Shaw LM, Weiner MW, Doraiswamy PM, Saykin AJ, Kaddurah-Daouk R. Altered bile acid profile in mild cognitive impairment and Alzheimer's disease: Relationship to neuroimaging and CSF biomarkers. Alzheimers Dement 2019; 15:232-244. [PMID: 30337152 PMCID: PMC6454538 DOI: 10.1016/j.jalz.2018.08.012] [Citation(s) in RCA: 175] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 08/03/2018] [Accepted: 08/21/2018] [Indexed: 12/20/2022]
Abstract
INTRODUCTION Bile acids (BAs) are the end products of cholesterol metabolism produced by human and gut microbiome co-metabolism. Recent evidence suggests gut microbiota influence pathological features of Alzheimer's disease (AD) including neuroinflammation and amyloid-β deposition. METHOD Serum levels of 20 primary and secondary BA metabolites from the AD Neuroimaging Initiative (n = 1562) were measured using targeted metabolomic profiling. We assessed the association of BAs with the "A/T/N" (amyloid, tau, and neurodegeneration) biomarkers for AD: cerebrospinal fluid (CSF) biomarkers, atrophy (magnetic resonance imaging), and brain glucose metabolism ([18F]FDG PET). RESULTS Of 23 BAs and relevant calculated ratios after quality control procedures, three BA signatures were associated with CSF Aβ1-42 ("A") and three with CSF p-tau181 ("T") (corrected P < .05). Furthermore, three, twelve, and fourteen BA signatures were associated with CSF t-tau, glucose metabolism, and atrophy ("N"), respectively (corrected P < .05). DISCUSSION This is the first study to show serum-based BA metabolites are associated with "A/T/N" AD biomarkers, providing further support for a role of BA pathways in AD pathophysiology. Prospective clinical observations and validation in model systems are needed to assess causality and specific mechanisms underlying this association.
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Affiliation(s)
- Kwangsik Nho
- Department of Radiology and Imaging Sciences, Center for Computational Biology and Bioinformatics, and the Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | | | - Matthias Arnold
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Shannon L Risacher
- Department of Radiology and Imaging Sciences, Center for Computational Biology and Bioinformatics, and the Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Gregory Louie
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Colette Blach
- Duke Molecular Physiology Institute, Duke University, Durham, NC, USA
| | | | - Xianlin Han
- University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Gabi Kastenmüller
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Wei Jia
- University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Guoxiang Xie
- University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Thomas Hankemeier
- Division of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, RA Leiden, the Netherlands
| | | | - John Q Trojanowski
- Department of Pathology & Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie M Shaw
- Department of Pathology & Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael W Weiner
- Center for Imaging of Neurodegenerative Diseases, Department of Radiology, San Francisco VA Medical Center/University of California San Francisco, San Francisco, CA, USA
| | - P Murali Doraiswamy
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Duke Institute of Brain Sciences, Duke University, Durham, NC, USA; Department of Medicine, Duke University, Durham, NC, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Center for Computational Biology and Bioinformatics, and the Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Duke Institute of Brain Sciences, Duke University, Durham, NC, USA; Department of Medicine, Duke University, Durham, NC, USA.
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31
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Li C, Yuan H, Shou G, Cha YH, Sunderam S, Besio W, Ding L. Cortical Statistical Correlation Tomography of EEG Resting State Networks. Front Neurosci 2018; 12:365. [PMID: 29899686 PMCID: PMC5988892 DOI: 10.3389/fnins.2018.00365] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2018] [Accepted: 05/11/2018] [Indexed: 01/07/2023] Open
Abstract
Resting state networks (RSNs) have been found in human brains during awake resting states. RSNs are composed of spatially distributed regions in which spontaneous activity fluctuations are temporally and dynamically correlated. A new computational framework for reconstructing RSNs with human EEG data has been developed in the present study. The proposed framework utilizes independent component analysis (ICA) on short-time Fourier transformed inverse source maps imaged from EEG data and statistical correlation analysis to generate cortical tomography of electrophysiological RSNs. The proposed framework was evaluated on three sets of resting-state EEG data obtained in the comparison of two conditions: (1) healthy controls with eyes closed and eyes open; (2) healthy controls and individuals with a balance disorder; (3) individuals with a balance disorder before and after receiving repetitive transcranial magnetic stimulation (rTMS) treatment. In these analyses, the same group of five RSNs with similar spatial and spectral patterns were successfully reconstructed by the proposed framework from each individual EEG dataset. These EEG RSN tomographic maps showed significant similarity with RSN templates derived from functional magnetic resonance imaging (fMRI). Furthermore, significant spatial and spectral differences of RSNs among compared conditions were observed in tomographic maps as well as their spectra, which were consistent with findings reported in the literature. Beyond the success of reconstructing EEG RSNs spatially on the cortical surface as in fMRI studies, this novel approach defines RSNs further with spectra, providing a new dimension in understanding and probing basic neural mechanisms of RSNs. The findings in patients' data further demonstrate its potential in identifying biomarkers for the diagnosis and treatment evaluation of neuropsychiatric disorders.
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Affiliation(s)
- Chuang Li
- School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, United States
| | - Han Yuan
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States.,Institute for Biomedical Engineering, Science and Technology, University of Oklahoma, Norman, OK, United States
| | - Guofa Shou
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States
| | - Yoon-Hee Cha
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - Sridhar Sunderam
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, United States
| | - Walter Besio
- Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, United States
| | - Lei Ding
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States.,Institute for Biomedical Engineering, Science and Technology, University of Oklahoma, Norman, OK, United States
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32
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Greve DN, Fischl B. False positive rates in surface-based anatomical analysis. Neuroimage 2018; 171:6-14. [PMID: 29288131 PMCID: PMC5857431 DOI: 10.1016/j.neuroimage.2017.12.072] [Citation(s) in RCA: 150] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Revised: 12/06/2017] [Accepted: 12/21/2017] [Indexed: 10/18/2022] Open
Abstract
The false positive rates (FPR) for surface-based group analysis of cortical thickness, surface area, and volume were evaluated for parametric and non-parametric clusterwise correction for multiple comparisons for a range of smoothing levels and cluster-forming thresholds (CFT) using real data under group assignments that should not yield significant results. For whole cortical surface analysis, thickness showed modest inflation in parametric FPRs above the nominal level (10% versus 5%). Surface area and volume FPRs were much higher (20-30%). In the analysis of interhemispheric thickness asymmetries, FPRs were well controlled by parametric correction, but FPRs for surface area and volume asymmetries were still inflated. In all cases, non-parametric permutation adequately controlled the FPRs. It was found that inflated parametric FPRs were caused by violations in the parametric assumptions, namely a heavier-than-Gaussian spatial correlation. The non-Gaussian spatial correlation originates from anatomical features unique to individuals (e.g., a patch of cortex slightly thicker or thinner than average) and is not a by-product of scanning or processing. Thickness performed better than surface area and volume because thickness does not require a Jacobian correction.
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Affiliation(s)
- Douglas N Greve
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Radiology Department, Boston, MA, USA.
| | - Bruce Fischl
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Radiology Department, Boston, MA, USA
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33
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Evaluating accuracy of striatal, pallidal, and thalamic segmentation methods: Comparing automated approaches to manual delineation. Neuroimage 2018; 170:182-198. [DOI: 10.1016/j.neuroimage.2017.02.069] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Revised: 02/03/2017] [Accepted: 02/24/2017] [Indexed: 12/16/2022] Open
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34
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Qiu A, Shen M, Buss C, Chong YS, Kwek K, Saw SM, Gluckman PD, Wadhwa PD, Entringer S, Styner M, Karnani N, Heim CM, O'Donnell KJ, Holbrook JD, Fortier MV, Meaney MJ. Effects of Antenatal Maternal Depressive Symptoms and Socio-Economic Status on Neonatal Brain Development are Modulated by Genetic Risk. Cereb Cortex 2018; 27:3080-3092. [PMID: 28334351 PMCID: PMC6057508 DOI: 10.1093/cercor/bhx065] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Accepted: 02/28/2017] [Indexed: 12/11/2022] Open
Abstract
This study included 168 and 85 mother–infant dyads from Asian and United States of America cohorts to examine whether a genomic profile risk score for major depressive disorder (GPRSMDD) moderates the association between antenatal maternal depressive symptoms (or socio-economic status, SES) and fetal neurodevelopment, and to identify candidate biological processes underlying such association. Both cohorts showed a significant interaction between antenatal maternal depressive symptoms and infant GPRSMDD on the right amygdala volume. The Asian cohort also showed such interaction on the right hippocampal volume and shape, thickness of the orbitofrontal and ventromedial prefrontal cortex. Likewise, a significant interaction between SES and infant GPRSMDD was on the right amygdala and hippocampal volumes and shapes. After controlling for each other, the interaction effect of antenatal maternal depressive symptoms and GPRSMDD was mainly shown on the right amygdala, while the interaction effect of SES and GPRSMDD was mainly shown on the right hippocampus. Bioinformatic analyses suggested neurotransmitter/neurotrophic signaling, SNAp REceptor complex, and glutamate receptor activity as common biological processes underlying the influence of antenatal maternal depressive symptoms on fetal cortico-limbic development. These findings suggest gene–environment interdependence in the fetal development of brain regions implicated in cognitive–emotional function. Candidate biological mechanisms involve a range of brain region-specific signaling pathways that converge on common processes of synaptic development.
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Affiliation(s)
- Anqi Qiu
- Department of Biomedical Engineering and Clinical Imaging Research Center, National University of Singapore, Singapore 117576, Singapore.,Singapore Institute for Clinical Sciences, Singapore 117609, Singapore
| | - Mojun Shen
- Singapore Institute for Clinical Sciences, Singapore 117609, Singapore
| | - Claudia Buss
- Departent of Medical Psychology, Charité University Medicine Berlin, Berlin 10117, Germany.,Development, Health and Disease Research Program, Department of Pediatrics, University of California, Irvine, CA 92697, USA
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Singapore 117609, Singapore.,Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University Health System, Singapore 119228, Singapore
| | - Kenneth Kwek
- Department of Biobehavioral Health, Pennsylvania State University, University Park, PA 16802, USA
| | - Seang-Mei Saw
- Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital (KKH), Singapore 229899, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Singapore 117609, Singapore
| | - Pathik D Wadhwa
- Development, Health and Disease Research Program, Department of Pediatrics, University of California, Irvine, CA 92697, USA
| | - Sonja Entringer
- Departent of Medical Psychology, Charité University Medicine Berlin, Berlin 10117, Germany.,Development, Health and Disease Research Program, Department of Pediatrics, University of California, Irvine, CA 92697, USA
| | - Martin Styner
- Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA.,Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences, Singapore 117609, Singapore
| | - Christine M Heim
- Departent of Medical Psychology, Charité University Medicine Berlin, Berlin 10117, Germany.,Department of Biobehavioral Health, Pennsylvania State University, University Park, PA 16802, USA
| | - Kieran J O'Donnell
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montréal H4H 1R3, Canada.,Sackler Program for Epigenetics & Psychobiology at McGill University, Montréal H4H 1R3, Canada
| | - Joanna D Holbrook
- Singapore Institute for Clinical Sciences, Singapore 117609, Singapore
| | - Marielle V Fortier
- Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital (KKH), Singapore 229899, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, Singapore 117609, Singapore.,Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montréal H4H 1R3, Canada.,Sackler Program for Epigenetics & Psychobiology at McGill University, Montréal H4H 1R3, Canada
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35
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Popuri K, Dowds E, Beg MF, Balachandar R, Bhalla M, Jacova C, Buller A, Slack P, Sengdy P, Rademakers R, Wittenberg D, Feldman HH, Mackenzie IR, Hsiung GYR. Gray matter changes in asymptomatic C9orf72 and GRN mutation carriers. Neuroimage Clin 2018; 18:591-598. [PMID: 29845007 PMCID: PMC5964622 DOI: 10.1016/j.nicl.2018.02.017] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 01/25/2018] [Accepted: 02/16/2018] [Indexed: 01/10/2023]
Abstract
Frontotemporal dementia (FTD) is a neurodegenerative disease with a strong genetic basis. Understanding the structural brain changes during pre-symptomatic stages may allow for earlier diagnosis of patients suffering from FTD; therefore, we investigated asymptomatic members of FTD families with mutations in C9orf72 and granulin (GRN) genes. Clinically asymptomatic subjects from families with C9orf72 mutation (15 mutation carriers, C9orf72+; and 23 non-carriers, C9orf72-) and GRN mutations (9 mutation carriers, GRN+; and 15 non-carriers, GRN-) underwent structural neuroimaging (MRI). Cortical thickness and subcortical gray matter volumes were calculated using FreeSurfer. Group differences were evaluated, correcting for age, sex and years to mean age of disease onset within the subject's family. Mean age of C9orf72+ and C9orf72- were 42.6 ± 11.3 and 49.7 ± 15.5 years, respectively; while GRN+ and GRN- groups were 50.1 ± 8.7 and 53.2 ± 11.2 years respectively. The C9orf72+ group exhibited cortical thinning in the temporal, parietal and frontal regions, as well as reduced volumes of bilateral thalamus and left caudate compared to the entire group of mutation non-carriers (NC: C9orf72- and GRN- combined). In contrast, the GRN+ group did not show any significant differences compared to NC. C9orf72 mutation carriers demonstrate a pattern of reduced gray matter on MRI prior to symptom onset compared to GRN mutation carriers. These findings suggest that the preclinical course of FTD differs depending on the genetic basis and that the choice of neuroimaging biomarkers for FTD may need to take into account the specific genes involved in causing the disease.
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Affiliation(s)
- Karteek Popuri
- School of Engineering Science, Simon Fraser University, Canada
| | - Emma Dowds
- Division of Neurology, Department of Medicine, University of British Columbia, Canada
| | | | | | - Mahadev Bhalla
- School of Engineering Science, Simon Fraser University, Canada
| | - Claudia Jacova
- School of Professional Psychology, Pacific University, Hillsboro, OR, USA
| | - Adrienne Buller
- School of Engineering Science, Simon Fraser University, Canada
| | - Penny Slack
- Division of Neurology, Department of Medicine, University of British Columbia, Canada
| | - Pheth Sengdy
- Division of Neurology, Department of Medicine, University of British Columbia, Canada
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic Jacksonville, FL, USA
| | - Dana Wittenberg
- Division of Neurology, Department of Medicine, University of British Columbia, Canada
| | - Howard H Feldman
- Department of Neurosciences, University of California San Diego, CA, USA
| | - Ian R Mackenzie
- Department of Pathology and Laboratory Medicine, University of British Columbia, Canada
| | - Ging-Yuek R Hsiung
- Division of Neurology, Department of Medicine, University of British Columbia, Canada.
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36
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Lee A, Shen M, Qiu A. Psychiatric polygenic risk associates with cortical morphology and functional organization in aging. Transl Psychiatry 2017; 7:1276. [PMID: 29225336 PMCID: PMC5802582 DOI: 10.1038/s41398-017-0036-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 08/04/2017] [Accepted: 09/07/2017] [Indexed: 01/23/2023] Open
Abstract
Common brain abnormalities in cortical morphology and functional organization are observed in psychiatric disorders and aging, reflecting shared genetic influences. This preliminary study aimed to examine the contribution of a polygenetic risk for psychiatric disorders (PRScross) to aging brain and to identify molecular mechanisms through the use of multimodal brain images, genotypes, and transcriptome data. We showed age-related cortical thinning in bilateral inferior frontal cortex (IFC) and superior temporal gyrus and alterations in the functional connectivity between bilateral IFC and between right IFC and right inferior parietal lobe as a function of PRScross. Interestingly, the genes in PRScross, that contributed most to aging neurodegeneration, were expressed in the functioanlly connected cortical regions. Especially, genes identified through the genotype-functional connectivity association analysis were commonly expressed in both cortical regions and formed strong gene networks with biological processes related to neural plasticity and synaptogenesis, regulated by glutamatergic and GABAergic transmission, neurotrophin signaling, and metabolism. This study suggested integrating genotype and transcriptome with neuroimage data sheds new light on the mechanisms of aging brain.
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Affiliation(s)
- Annie Lee
- 0000 0001 2180 6431grid.4280.eDepartment of Biomedical Engineering, National University of Singapore, Singapore, 117576 Singapore
| | - Mojun Shen
- 0000 0004 0637 0221grid.185448.4Singapore Institute for Clinical Sciences, The Agency for Science, Technology and Research, Singapore, 117609 Singapore
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore, 117576, Singapore. .,Singapore Institute for Clinical Sciences, The Agency for Science, Technology and Research, Singapore, 117609, Singapore. .,Clinical Imaging Research Center, National University of Singapore, Singapore, 117456, Singapore.
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Ibáñez-Juliá MJ, Pappa E, Gaymard B, Leclercq D, Hautefort C, Tilikete C, Delattre JY, Hoang-Xuan K, Psimaras D, Alentorn A. Brain volumetric analysis and cortical thickness in adults with saccadic intrusions (ocular flutter or opsoclonus-myoclonus syndrome). Clin Neurol Neurosurg 2017; 163:167-172. [PMID: 29121544 DOI: 10.1016/j.clineuro.2017.10.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Revised: 09/24/2017] [Accepted: 10/28/2017] [Indexed: 11/17/2022]
Abstract
OBJECTIVES Ocular flutter (OF) and opsoclonus are considered a continuum with a similar pathogenesis. Due to the rarity of this disease in the adult population, little is known about the brain morphological changes in the chronic phase of the disease. PATIENTS AND METHODS Six magnetic resonance imaging from adults with previous history of OF/Opsoclonus and 12 healthy patients (paired by age and sex) were analyzed in order to identify the long term cortical thickness pattern in this rare disease by using Freesurfer. RESULTS Patients with OF/Opsoclonus showed reduced cerebellum cortical volume with a subsequent diminution in total cerebellar volume. White mater cerebellum volume was not modified. In addition, we have also identified a significant supratentorial gray matter volume decrease in OF/Opsoclonus patients, involving both the cortical and the subcortical gray matter. CONCLUSIONS OF/Opsoclonus in adults may be associated with cortical and subcortical gray matter atrophy, as well as decreased cerebellar cortical volume. Further larger prospective studies are necessary to confirm these results.
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Affiliation(s)
- María-José Ibáñez-Juliá
- Department of Neurology 2, Mazarin, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique Hôpitaux de Paris (AP-HP), 75013, Paris, France; Sorbonne Universités, Université Pierre et Marie Curie, Université Paris VI, 75013, Paris, France; Institut du Cerveau et de la Moelle Epinière, INSERM U1127 and Centre National de la Recherche Scientifique, Unité de Recherche Mixte, 7225, Paris, France
| | - Evangelia Pappa
- Department of Neurology 2, Mazarin, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique Hôpitaux de Paris (AP-HP), 75013, Paris, France; Sorbonne Universités, Université Pierre et Marie Curie, Université Paris VI, 75013, Paris, France; Institut du Cerveau et de la Moelle Epinière, INSERM U1127 and Centre National de la Recherche Scientifique, Unité de Recherche Mixte, 7225, Paris, France
| | - Bertrand Gaymard
- Deparment of Clinical Neurophysiology, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique Hôpitaux de Paris (AP-HP), 75013, Paris, France
| | - Delphine Leclercq
- Department of Neuro-radiology, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique Hôpitaux de Paris (AP-HP), 75013, Paris, France
| | - Charlotte Hautefort
- Otolaryngology - Head and Neck Surgery Department, Hôpital Lariboisière, Assistance Publique Hôpitaux de Paris (AP-HP), 75475, Paris, France
| | - Caroline Tilikete
- Neuro-Ophthalmology Unit, Lyon Civil Hospitals, Neurological Hospital, Lyon 1 University, Bron Cedex, France
| | - Jean-Yves Delattre
- Department of Neurology 2, Mazarin, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique Hôpitaux de Paris (AP-HP), 75013, Paris, France; Sorbonne Universités, Université Pierre et Marie Curie, Université Paris VI, 75013, Paris, France; Institut du Cerveau et de la Moelle Epinière, INSERM U1127 and Centre National de la Recherche Scientifique, Unité de Recherche Mixte, 7225, Paris, France
| | - Khê Hoang-Xuan
- Department of Neurology 2, Mazarin, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique Hôpitaux de Paris (AP-HP), 75013, Paris, France; Sorbonne Universités, Université Pierre et Marie Curie, Université Paris VI, 75013, Paris, France; Institut du Cerveau et de la Moelle Epinière, INSERM U1127 and Centre National de la Recherche Scientifique, Unité de Recherche Mixte, 7225, Paris, France
| | - Dimitri Psimaras
- Department of Neurology 2, Mazarin, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique Hôpitaux de Paris (AP-HP), 75013, Paris, France; Sorbonne Universités, Université Pierre et Marie Curie, Université Paris VI, 75013, Paris, France; Institut du Cerveau et de la Moelle Epinière, INSERM U1127 and Centre National de la Recherche Scientifique, Unité de Recherche Mixte, 7225, Paris, France
| | - Agusti Alentorn
- Department of Neurology 2, Mazarin, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique Hôpitaux de Paris (AP-HP), 75013, Paris, France; Sorbonne Universités, Université Pierre et Marie Curie, Université Paris VI, 75013, Paris, France; Institut du Cerveau et de la Moelle Epinière, INSERM U1127 and Centre National de la Recherche Scientifique, Unité de Recherche Mixte, 7225, Paris, France.
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Shapiro KA, Kim H, Mandelli ML, Rogers EE, Gano D, Ferriero DM, Barkovich AJ, Gorno-Tempini ML, Glass HC, Xu D. Early changes in brain structure correlate with language outcomes in children with neonatal encephalopathy. NEUROIMAGE-CLINICAL 2017; 15:572-580. [PMID: 28924555 PMCID: PMC5593272 DOI: 10.1016/j.nicl.2017.06.015] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 05/29/2017] [Accepted: 06/09/2017] [Indexed: 01/18/2023]
Abstract
Global patterns of brain injury correlate with motor, cognitive, and language outcomes in survivors of neonatal encephalopathy (NE). However, it is still unclear whether local changes in brain structure predict specific deficits. We therefore examined whether differences in brain structure at 6 months of age are associated with neurodevelopmental outcomes in this population. We enrolled 32 children with NE, performed structural brain MR imaging at 6 months, and assessed neurodevelopmental outcomes at 30 months. All subjects underwent T1-weighted imaging at 3 T using a 3D IR-SPGR sequence. Images were normalized in intensity and nonlinearly registered to a template constructed specifically for this population, creating a deformation field map. We then used deformation based morphometry (DBM) to correlate variation in the local volume of gray and white matter with composite scores on the Bayley Scales of Infant and Toddler Development (Bayley-III) at 30 months. Our general linear model included gestational age, sex, birth weight, and treatment with hypothermia as covariates. Regional brain volume was significantly associated with language scores, particularly in perisylvian cortical regions including the left supramarginal gyrus, posterior superior and middle temporal gyri, and right insula, as well as inferior frontoparietal subcortical white matter. We did not find significant correlations between regional brain volume and motor or cognitive scale scores. We conclude that, in children with a history of NE, local changes in the volume of perisylvian gray and white matter at 6 months are correlated with language outcome at 30 months. Quantitative measures of brain volume on early MRI may help identify infants at risk for poor language outcomes. Global volume loss after neonatal brain injury results in poorer language outcome. Variability in language correlates specifically with left perisylvian brain volume. Changes in regional brain volume are not correlated with motor or cognitive outcome.
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Affiliation(s)
- Kevin A Shapiro
- Department of Neurology, University of California, San Francisco, USA.
| | - Hosung Kim
- Department of Radiology, University of California, San Francisco, USA
| | | | | | - Dawn Gano
- Department of Neurology, University of California, San Francisco, USA; Department of Pediatrics, University of California, San Francisco, USA
| | - Donna M Ferriero
- Department of Neurology, University of California, San Francisco, USA; Department of Pediatrics, University of California, San Francisco, USA
| | - A James Barkovich
- Department of Neurology, University of California, San Francisco, USA; Department of Radiology, University of California, San Francisco, USA; Department of Pediatrics, University of California, San Francisco, USA
| | | | - Hannah C Glass
- Department of Neurology, University of California, San Francisco, USA; Department of Pediatrics, University of California, San Francisco, USA; Department of Epidemiology & Biostatistics, University of California, San Francisco, USA
| | - Duan Xu
- Department of Radiology, University of California, San Francisco, USA
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39
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Madan CR, Kensinger EA. Test-retest reliability of brain morphology estimates. Brain Inform 2017; 4:107-121. [PMID: 28054317 PMCID: PMC5413592 DOI: 10.1007/s40708-016-0060-4] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Accepted: 12/26/2016] [Indexed: 12/17/2022] Open
Abstract
Metrics of brain morphology are increasingly being used to examine inter-individual differences, making it important to evaluate the reliability of these structural measures. Here we used two open-access datasets to assess the intersession reliability of three cortical measures (thickness, gyrification, and fractal dimensionality) and two subcortical measures (volume and fractal dimensionality). Reliability was generally good, particularly with the gyrification and fractal dimensionality measures. One dataset used a sequence previously optimized for brain morphology analyses and had particularly high reliability. Examining the reliability of morphological measures is critical before the measures can be validly used to investigate inter-individual differences.
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Affiliation(s)
- Christopher R Madan
- Department of Psychology, Boston College, McGuinn 300, 140 Commonwealth Ave., Chestnut Hill, MA, 02467, USA.
| | - Elizabeth A Kensinger
- Department of Psychology, Boston College, McGuinn 300, 140 Commonwealth Ave., Chestnut Hill, MA, 02467, USA
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40
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Frühholz S, Schlegel K, Grandjean D. Amygdala structure and core dimensions of the affective personality. Brain Struct Funct 2017; 222:3915-3925. [PMID: 28512686 DOI: 10.1007/s00429-017-1444-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Accepted: 05/11/2017] [Indexed: 11/26/2022]
Abstract
While biological models of human personality propose that socio-affective traits and skills are rooted in the structure of the amygdala, empirical evidence remains sparse and inconsistent. Here, we used a comprehensive assessment of the affective personality and tested its association with global, local, and laterality measures of the amygdala structure. Results revealed three broad dimensions of the affective personality that were differentially related to bilateral amygdala structures. Dysfunctional and maladaptive affective traits were associated with a global size and local volume reduction of the amygdala, whereas adaptive emotional skills were linked to an increased size of the left amygdala. Furthermore, reduced asymmetry in the bilateral global amygdala volume was linked to higher affective instability and might be a potential precursor of psychiatric disorders. This study demonstrates that structural amygdala measures provide a neural basis for all major dimensions of the human personality related to adaptive and maladaptive socio-affective functioning.
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Affiliation(s)
- Sascha Frühholz
- Department of Psychology, University of Zurich, Binzmühlestrasse 14/18, 8050, Zurich, Switzerland.
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland.
- Center for Integrative Human Physiology (ZIHP), University of Zurich, 8057, Zurich, Switzerland.
- Swiss Center for Affective Sciences, University of Geneva, 1202, Geneva, Switzerland.
| | - Katja Schlegel
- Swiss Center for Affective Sciences, University of Geneva, 1202, Geneva, Switzerland
- Institute for Psychology, University of Bern, 3012, Bern, Switzerland
| | - Didier Grandjean
- Swiss Center for Affective Sciences, University of Geneva, 1202, Geneva, Switzerland
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41
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Sharda M, Foster NEV, Tryfon A, Doyle-Thomas KAR, Ouimet T, Anagnostou E, Evans AC, Zwaigenbaum L, Lerch JP, Lewis JD, Hyde KL. Language Ability Predicts Cortical Structure and Covariance in Boys with Autism Spectrum Disorder. Cereb Cortex 2017; 27:1849-1862. [PMID: 26891985 DOI: 10.1093/cercor/bhw024] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
There is significant clinical heterogeneity in language and communication abilities of individuals with Autism Spectrum Disorders (ASD). However, no consistent pathology regarding the relationship of these abilities to brain structure has emerged. Recent developments in anatomical correlation-based approaches to map structural covariance networks (SCNs), combined with detailed behavioral characterization, offer an alternative for studying these relationships. In this study, such an approach was used to study the integrity of SCNs of cortical thickness and surface area associated with language and communication, in 46 high-functioning, school-age children with ASD compared with 50 matched, typically developing controls (all males) with IQ > 75. Findings showed that there was alteration of cortical structure and disruption of fronto-temporal cortical covariance in ASD compared with controls. Furthermore, in an analysis of a subset of ASD participants, alterations in both cortical structure and covariance were modulated by structural language ability of the participants, but not communicative function. These findings indicate that structural language abilities are related to altered fronto-temporal cortical covariance in ASD, much more than symptom severity or cognitive ability. They also support the importance of better characterizing ASD samples while studying brain structure and for better understanding individual differences in language and communication abilities in ASD.
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Affiliation(s)
- Megha Sharda
- International Laboratory for Brain Music and Sound Research (BRAMS), Université de Montréal, Montréal, Quebec, CanadaH2V 2J2
| | - Nicholas E V Foster
- International Laboratory for Brain Music and Sound Research (BRAMS), Université de Montréal, Montréal, Quebec, CanadaH2V 2J2
| | - Ana Tryfon
- International Laboratory for Brain Music and Sound Research (BRAMS), Université de Montréal, Montréal, Quebec, Canada H2V 2J2.,Montreal Neurological Institute, Faculty of Medicine, McGill University, Montreal, Quebec, Canada H3A 2B4
| | | | - Tia Ouimet
- International Laboratory for Brain Music and Sound Research (BRAMS), Université de Montréal, Montréal, Quebec, CanadaH2V 2J2
| | | | - Alan C Evans
- Montreal Neurological Institute, Faculty of Medicine, McGill University, Montreal, Quebec, CanadaH3A 2B4
| | | | - Jason P Lerch
- The Hospital for Sick Children, University of Toronto, Toronto, Ontario, CanadaM5T 3H7
| | - John D Lewis
- Montreal Neurological Institute, Faculty of Medicine, McGill University, Montreal, Quebec, CanadaH3A 2B4
| | - Krista L Hyde
- International Laboratory for Brain Music and Sound Research (BRAMS), Université de Montréal, Montréal, Quebec, Canada H2V 2J2.,Montreal Neurological Institute, Faculty of Medicine, McGill University, Montreal, Quebec, Canada H3A 2B4
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42
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Geng X, Li G, Lu Z, Gao W, Wang L, Shen D, Zhu H, Gilmore JH. Structural and Maturational Covariance in Early Childhood Brain Development. Cereb Cortex 2017; 27:1795-1807. [PMID: 26874184 DOI: 10.1093/cercor/bhw022] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Brain structural covariance networks (SCNs) composed of regions with correlated variation are altered in neuropsychiatric disease and change with age. Little is known about the development of SCNs in early childhood, a period of rapid cortical growth. We investigated the development of structural and maturational covariance networks, including default, dorsal attention, primary visual and sensorimotor networks in a longitudinal population of 118 children after birth to 2 years old and compared them with intrinsic functional connectivity networks. We found that structural covariance of all networks exhibit strong correlations mostly limited to their seed regions. By Age 2, default and dorsal attention structural networks are much less distributed compared with their functional maps. The maturational covariance maps, however, revealed significant couplings in rates of change between distributed regions, which partially recapitulate their functional networks. The structural and maturational covariance of the primary visual and sensorimotor networks shows similar patterns to the corresponding functional networks. Results indicate that functional networks are in place prior to structural networks, that correlated structural patterns in adult may arise in part from coordinated cortical maturation, and that regional co-activation in functional networks may guide and refine the maturation of SCNs over childhood development.
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Affiliation(s)
- Xiujuan Geng
- Department of Psychiatry.,State Key Lab of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, Hong Kong.,Laboratory of Neuropsychology and Laboratory of Social Cognitive and Affective Neuroscience, University of Hong Kong
| | - Gang Li
- IDEA Lab, Department of Radiology and BRIC
| | - Zhaohua Lu
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Wei Gao
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, NC 27514, USA
| | - Li Wang
- IDEA Lab, Department of Radiology and BRIC
| | - Dinggang Shen
- IDEA Lab, Department of Radiology and BRIC.,Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
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43
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Cacciaglia R, Nees F, Grimm O, Ridder S, Pohlack ST, Diener SJ, Liebscher C, Flor H. Trauma exposure relates to heightened stress, altered amygdala morphology and deficient extinction learning: Implications for psychopathology. Psychoneuroendocrinology 2017; 76:19-28. [PMID: 27871027 DOI: 10.1016/j.psyneuen.2016.11.012] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2016] [Revised: 11/06/2016] [Accepted: 11/10/2016] [Indexed: 12/13/2022]
Abstract
Stress exposure causes a structural reorganization in neurons of the amygdala. In particular, animal models have repeatedly shown that both acute and chronic stress induce neuronal hypertrophy and volumetric increase in the lateral and basolateral nuclei of amygdala. These effects are visible on the behavioral level, where stress enhances anxiety behaviors and provokes greater fear learning. We assessed stress and anxiety levels in a group of 18 healthy human trauma-exposed individuals (TR group) compared to 18 non-exposed matched controls (HC group), and related these measurements to amygdala volume. Traumas included unexpected adverse experiences such as vehicle accidents or sudden loss of a loved one. As a measure of aversive learning, we implemented a cued fear conditioning paradigm. Additionally, to provide a biological marker of chronic stress, we measured the sensitivity of the hypothalamus-pituitary-adrenal (HPA) axis using a dexamethasone suppression test. Compared to the HC, the TR group showed significantly higher levels of chronic stress, current stress and trait anxiety, as well as increased volume of the left amygdala. Specifically, we observed a focal enlargement in its lateral portion, in line with previous animal data. Compared to HC, the TR group also showed enhanced late acquisition of conditioned fear and deficient extinction learning, as well as salivary cortisol hypo-suppression to dexamethasone. Left amygdala volumes positively correlated with suppressed morning salivary cortisol. Our results indicate differences in trauma-exposed individuals which resemble those previously reported in animals exposed to stress and in patients with post-traumatic stress disorder and depression. These data provide new insights into the mechanisms through which traumatic stress might prompt vulnerability for psychopathology.
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Affiliation(s)
- Raffaele Cacciaglia
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany; Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Passeig de la vall d'Hebron 171, Barcelona, Catalonia, Spain.
| | - Frauke Nees
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Oliver Grimm
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital of Frankfurt, Frankfurt, Germany
| | - Stephanie Ridder
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Sebastian T Pohlack
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Slawomira J Diener
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Claudia Liebscher
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany.
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44
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Lewis-de los Angeles CP, Alpert KI, Williams PL, Malee K, Huo Y, Csernansky JG, Yogev R, Van Dyke RB, Sowell ER, Wang L. Deformed Subcortical Structures Are Related to Past HIV Disease Severity in Youth With Perinatally Acquired HIV Infection. J Pediatric Infect Dis Soc 2016; 5:S6-S14. [PMID: 27856671 PMCID: PMC5181545 DOI: 10.1093/jpids/piw051] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2016] [Accepted: 07/25/2016] [Indexed: 02/05/2023]
Abstract
BACKGROUND Combination antiretroviral therapy has led to increased survival among youth with perinatally acquired HIV (PHIV). However, cognitive deficits continue to be common. Histopathological studies in adults have found HIV concentrated in subcortical structures, which are involved in sensory processing, movement, and higher-order cognition that emerges with development. METHODS We conducted magnetic resonance imaging and cognitive testing in 40 youth with PHIV at one site of the Adolescent Master Protocol of the Pediatric HIV/AIDS Cohort Study. We collected HIV disease-severity measures and substance-use reports. Subcortical volume and shape deformation were generated with FreeSurfer-Initiated Large Deformation Diffeomorphic Metric Mapping. Inward shape deformation was defined as negative displacement. We evaluated associations of subcortical shape deformation with past HIV severity after adjustment for sex, age at neuroimaging, age at HIV severity marker, and substance use. We examined associations between subcortical deformation and cognitive function. RESULTS Negative correlations between shape deformation and peak HIV viral load (VL) were found in clusters in the caudate tail, globus pallidus, lateral putamen, and anterior and medial thalamus. Positive correlations between shape deformation and nadir CD4-positive T-lymphocyte percentage (CD4%) were found in clusters in the medial and posterior thalamus. Inward deformation in caudate and thalamic clusters correlated with worse cognition. CONCLUSIONS Youth with PHIV have demonstrable subcortical shape deformation related to past HIV severity and cognition; inward deformation was associated with higher peak VL, lower nadir CD4%, and worse cognition. Identifying subcortical deformation may inform clinical practice for early intervention to help improve cognitive outcomes and assess the neuroefficacy of combination antiretroviral therapy in youth with PHIV.
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Affiliation(s)
| | | | - Paige L. Williams
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | | | - Yanling Huo
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | | | - Ram Yogev
- Department of Pediatrics, Ann and Robert H. Lurie Children's Hospital of Chicago, Illinois
| | - Russell B. Van Dyke
- Department of Pediatrics, Tulane University School of Medicine, New Orleans, Louisiana
| | - Elizabeth R. Sowell
- Department of Pediatrics, Children's Hospital Los Angeles
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, and
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45
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Age-related differences in the structural complexity of subcortical and ventricular structures. Neurobiol Aging 2016; 50:87-95. [PMID: 27939959 DOI: 10.1016/j.neurobiolaging.2016.10.023] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 10/19/2016] [Accepted: 10/20/2016] [Indexed: 02/05/2023]
Abstract
It has been well established that the volume of several subcortical structures decreases in relation to age. Different metrics of cortical structure (e.g., volume, thickness, surface area, and gyrification) have been shown to index distinct characteristics of interindividual differences; thus, it is important to consider the relation of age to multiple structural measures. Here, we compare age-related differences in subcortical and ventricular volume to those differences revealed with a measure of structural complexity, quantified as fractal dimensionality. Across 3 large data sets, totaling nearly 900 individuals across the adult lifespan (aged 18-94 years), we found greater age-related differences in complexity than volume for the subcortical structures, particularly in the caudate and thalamus. The structural complexity of ventricular structures was not more strongly related to age than volume. These results demonstrate that considering shape-related characteristics improves sensitivity to detect age-related differences in subcortical structures.
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46
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47
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Shakeri M, Lombaert H, Datta AN, Oser N, Létourneau-Guillon L, Lapointe LV, Martin F, Malfait D, Tucholka A, Lippé S, Kadoury S. Statistical shape analysis of subcortical structures using spectral matching. Comput Med Imaging Graph 2016; 52:58-71. [DOI: 10.1016/j.compmedimag.2016.03.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Revised: 02/02/2016] [Accepted: 03/04/2016] [Indexed: 11/26/2022]
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48
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Bhagat SL, Qiu S, Caffall ZF, Wan Y, Pan Y, Rodriguiz RM, Wetsel WC, Badea A, Hochgeschwender U, Calakos N. Mouse model of rare TOR1A variant found in sporadic focal dystonia impairs domains affected in DYT1 dystonia patients and animal models. Neurobiol Dis 2016; 93:137-45. [PMID: 27168150 DOI: 10.1016/j.nbd.2016.05.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Revised: 04/25/2016] [Accepted: 05/05/2016] [Indexed: 12/13/2022] Open
Abstract
Rare de novo mutations in genes associated with inherited Mendelian disorders are potential contributors to sporadic disease. DYT1 dystonia is an autosomal dominant, early-onset, generalized dystonia associated with an in-frame, trinucleotide deletion (n. delGAG, p. ΔE 302/303) in the Tor1a gene. Here we examine the significance of a rare missense variant in the Tor1a gene (c. 613T>A, p. F205I), previously identified in a patient with sporadic late-onset focal dystonia, by modeling it in mice. Homozygous F205I mice have motor impairment, reduced steady-state levels of TorsinA, altered corticostriatal synaptic plasticity, and prominent brain imaging abnormalities in areas associated with motor function. Thus, the F205I variant causes abnormalities in domains affected in people and/or mouse models with the DYT1 Tor1a mutation (ΔE). Our findings establish the pathological significance of the F205I Tor1a variant and provide a model with both etiological and phenotypic relevance to further investigate dystonia mechanisms.
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Affiliation(s)
- Srishti L Bhagat
- Department of Neurology, Duke University Medical Center, Durham, NC 27710, United States; Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, United States
| | - Sunny Qiu
- Department of Neurology, Duke University Medical Center, Durham, NC 27710, United States
| | - Zachary F Caffall
- Department of Neurology, Duke University Medical Center, Durham, NC 27710, United States
| | - Yehong Wan
- Department of Neurology, Duke University Medical Center, Durham, NC 27710, United States
| | - Yuanji Pan
- Department of Neurology, Duke University Medical Center, Durham, NC 27710, United States
| | - Ramona M Rodriguiz
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710, United States
| | - William C Wetsel
- Duke Institute of Brain Sciences, United States; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710, United States
| | - Alexandra Badea
- Department of Radiology, Duke University Medical Center, Durham, NC 27710, United States
| | - Ute Hochgeschwender
- Department of Neurology, Duke University Medical Center, Durham, NC 27710, United States
| | - Nicole Calakos
- Department of Neurology, Duke University Medical Center, Durham, NC 27710, United States; Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, United States; Duke Institute of Brain Sciences, United States.
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49
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Kim SH, Lyu I, Fonov VS, Vachet C, Hazlett HC, Smith RG, Piven J, Dager SR, Mckinstry RC, Pruett JR, Evans AC, Collins DL, Botteron KN, Schultz RT, Gerig G, Styner MA. Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity. Neuroimage 2016; 135:163-76. [PMID: 27150231 DOI: 10.1016/j.neuroimage.2016.04.053] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Revised: 04/01/2016] [Accepted: 04/24/2016] [Indexed: 10/21/2022] Open
Abstract
The quantification of local surface morphology in the human cortex is important for examining population differences as well as developmental changes in neurodegenerative or neurodevelopmental disorders. We propose a novel cortical shape measure, referred to as the 'shape complexity index' (SCI), that represents localized shape complexity as the difference between the observed distributions of local surface topology, as quantified by the shape index (SI) measure, to its best fitting simple topological model within a given neighborhood. We apply a relatively small, adaptive geodesic kernel to calculate the SCI. Due to the small size of the kernel, the proposed SCI measure captures fine differences of cortical shape. With this novel cortical feature, we aim to capture comparatively small local surface changes that capture a) the widening versus deepening of sulcal and gyral regions, as well as b) the emergence and development of secondary and tertiary sulci. Current cortical shape measures, such as the gyrification index (GI) or intrinsic curvature measures, investigate the cortical surface at a different scale and are less well suited to capture these particular cortical surface changes. In our experiments, the proposed SCI demonstrates higher complexity in the gyral/sulcal wall regions, lower complexity in wider gyral ridges and lowest complexity in wider sulcal fundus regions. In early postnatal brain development, our experiments show that SCI reveals a pattern of increased cortical shape complexity with age, as well as sexual dimorphisms in the insula, middle cingulate, parieto-occipital sulcal and Broca's regions. Overall, sex differences were greatest at 6months of age and were reduced at 24months, with the difference pattern switching from higher complexity in males at 6months to higher complexity in females at 24months. This is the first study of longitudinal, cortical complexity maturation and sex differences, in the early postnatal period from 6 to 24months of age with fine scale, cortical shape measures. These results provide information that complement previous studies of gyrification index in early brain development.
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Affiliation(s)
- Sun Hyung Kim
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA; Department of Psychiatry, University of North Carolina at Chapel Hill, NC, USA.
| | - Ilwoo Lyu
- Department of Computer Science, University of North Carolina at Chapel Hill, NC, USA
| | - Vladimir S Fonov
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
| | - Clement Vachet
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA
| | - Rachel G Smith
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, USA
| | | | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine, St. Louis, USA
| | - Alan C Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
| | - D Louis Collins
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, USA
| | - Robert T Schultz
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Guido Gerig
- Tandon School of Engineering, Department of Computer Science and Engineering, NYU, New York, USA
| | - Martin A Styner
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA; Department of Psychiatry, University of North Carolina at Chapel Hill, NC, USA; Department of Computer Science, University of North Carolina at Chapel Hill, NC, USA
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50
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Lee A, Qiu A. Modulative effects of COMT haplotype on age-related associations with brain morphology. Hum Brain Mapp 2016; 37:2068-82. [PMID: 26920810 DOI: 10.1002/hbm.23161] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2015] [Revised: 02/09/2016] [Accepted: 02/16/2016] [Indexed: 12/25/2022] Open
Abstract
Catechol-O-methyltransferase (COMT), located on chromosome 22q11.2, encodes an enzyme critical for dopamine flux in the prefrontal cortex. Genetic variants of COMT have been suggested to functionally manipulate prefrontal morphology and function in healthy adults. This study aims to investigate modulative roles of individuals COMT SNPs (rs737865, val158met, rs165599) and its haplotypes in age-related brain morphology using an Asian sample with 174 adults aged from 21 to 80 years. We showed an age-related decline in cortical thickness of the dorsal visual pathway, including the left dorsolateral prefrontal cortex, bilateral angular gyrus, right superior frontal cortex, and age-related shape compression in the basal ganglia as a function of the genotypes of the individual COMT SNPs, especially COMT val158met. Using haplotype trend regression analysis, COMT haplotype probabilities were estimated and further revealed an age-related decline in cortical thickness in the default mode network (DMN), including the posterior cingulate, precuneus, supramarginal and paracentral cortex, and the ventral visual system, including the occipital cortex and left inferior temporal cortex, as a function of the COMT haplotype. Our results provided new evidence on an antagonistic pleiotropic effect in COMT, suggesting that genetically programmed neural benefits in early life may have a potential bearing towards neural susceptibility in later life. Hum Brain Mapp 37:2068-2082, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Annie Lee
- Department of Biomedical Engineering, National University of Singapore, Singapore, 117576, Singapore
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore, 117576, Singapore.,Clinical Imaging Research Center, National University of Singapore, Singapore, 117456, Singapore.,Singapore Institute for Clinical Sciences, the Agency for Science, Technology and Research, Singapore, 117609, Singapore
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