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Brain charts for the human lifespan.
Bethlehem, R A I; Seidlitz, J; White, S R; Vogel, J W; Anderson, K M; Adamson, C; Adler, S; Alexopoulos, G S; Anagnostou, E; Areces-Gonzalez, A; Astle, D E; Auyeung, B; Ayub, M; Bae, J; Ball, G; Baron-Cohen, S; Beare, R; Bedford, S A; Benegal, V; Beyer, F; Blangero, J; Blesa Cábez, M; Boardman, J P; Borzage, M; Bosch-Bayard, J F; Bourke, N; Calhoun, V D; Chakravarty, M M; Chen, C; Chertavian, C; Chetelat, G; Chong, Y S; Cole, J H; Corvin, A; Costantino, M; Courchesne, E; Crivello, F; Cropley, V L; Crosbie, J; Crossley, N; Delarue, M; Delorme, R; Desrivieres, S; Devenyi, G A; Di Biase, M A; Dolan, R; Donald, K A; Donohoe, G; Dunlop, K; Edwards, A D.
Afiliação
  • Bethlehem RAI; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK. rb643@medschl.cam.ac.uk.
  • Seidlitz J; Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK. rb643@medschl.cam.ac.uk.
  • White SR; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA. jakob.seidlitz@pennmedicine.upenn.edu.
  • Vogel JW; Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA. jakob.seidlitz@pennmedicine.upenn.edu.
  • Anderson KM; Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA. jakob.seidlitz@pennmedicine.upenn.edu.
  • Adamson C; Department of Psychiatry, University of Cambridge, Cambridge, UK.
  • Adler S; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
  • Alexopoulos GS; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
  • Anagnostou E; Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.
  • Areces-Gonzalez A; Department of Psychology, Yale University, New Haven, CT, USA.
  • Astle DE; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
  • Auyeung B; Department of Medicine, Monash University, Melbourne, Victoria, Australia.
  • Ayub M; UCL Great Ormond Street Institute for Child Health, London, UK.
  • Bae J; Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, USA.
  • Ball G; Department of Pediatrics University of Toronto, Toronto, Canada.
  • Baron-Cohen S; Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada.
  • Beare R; The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China.
  • Bedford SA; University of Pinar del Río "Hermanos Saiz Montes de Oca", Pinar del Río, Cuba.
  • Benegal V; MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
  • Beyer F; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
  • Blangero J; Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK.
  • Blesa Cábez M; Queen's University, Department of Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada.
  • Boardman JP; University College London, Mental Health Neuroscience Research Department, Division of Psychiatry, London, UK.
  • Borzage M; Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Bosch-Bayard JF; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
  • Bourke N; Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia.
  • Calhoun VD; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
  • Chakravarty MM; Cambridge Lifetime Asperger Syndrome Service (CLASS), Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK.
  • Chen C; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
  • Chertavian C; Department of Medicine, Monash University, Melbourne, Victoria, Australia.
  • Chetelat G; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
  • Chong YS; Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
  • Cole JH; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
  • Corvin A; Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX, USA.
  • Costantino M; MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK.
  • Courchesne E; MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK.
  • Crivello F; Fetal and Neonatal Institute, Division of Neonatology, Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Cropley VL; McGill Centre for Integrative Neuroscience, Ludmer Centre for Neuroinformatics and Mental Health, Montreal Neurological Institute, Montreal, Quebec, Canada.
  • Crosbie J; McGill University, Montreal, Quebec, Canada.
  • Crossley N; Department of Brain Sciences, Imperial College London, London, UK.
  • Delarue M; Care Research and Technology Centre, Dementia Research Institute, London, UK.
  • Delorme R; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA.
  • Desrivieres S; McGill University, Montreal, Quebec, Canada.
  • Devenyi GA; Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada.
  • Di Biase MA; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Dolan R; Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA.
  • Donald KA; Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France.
  • Donohoe G; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
  • Dunlop K; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Edwards AD; Centre for Medical Image Computing (CMIC), University College London, London, UK.
Nature ; 604(7906): 525-533, 2022 04.
Article em En | MEDLINE | ID: mdl-35388223
ABSTRACT
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http//www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Longevidade Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Nature Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Longevidade Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Nature Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido