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Mapping human brain charts cross-sectionally and longitudinally.
Di Biase, Maria A; Tian, Ye Ella; Bethlehem, Richard A I; Seidlitz, Jakob; Alexander-Bloch, Aaron F; Yeo, B T Thomas; Zalesky, Andrew.
Afiliação
  • Di Biase MA; Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC 3000, Australia.
  • Tian YE; Department of Anatomy and Physiology, School of Biomedical Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia.
  • Bethlehem RAI; Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02145.
  • Seidlitz J; Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC 3000, Australia.
  • Alexander-Bloch AF; Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom.
  • Yeo BTT; Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of, Philadelphia, PA 19104.
  • Zalesky A; Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104.
Proc Natl Acad Sci U S A ; 120(20): e2216798120, 2023 05 16.
Article em En | MEDLINE | ID: mdl-37155868
ABSTRACT
Brain scans acquired across large, age-diverse cohorts have facilitated recent progress in establishing normative brain aging charts. Here, we ask the critical question of whether cross-sectional estimates of age-related brain trajectories resemble those directly measured from longitudinal data. We show that age-related brain changes inferred from cross-sectionally mapped brain charts can substantially underestimate actual changes measured longitudinally. We further find that brain aging trajectories vary markedly between individuals and are difficult to predict with population-level age trends estimated cross-sectionally. Prediction errors relate modestly to neuroimaging confounds and lifestyle factors. Our findings provide explicit evidence for the importance of longitudinal measurements in ascertaining brain development and aging trajectories.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália