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Investigating grey matter volumetric trajectories through the lifespan at the individual level.
Shi, Runye; Xiang, Shitong; Jia, Tianye; Robbins, Trevor W; Kang, Jujiao; Banaschewski, Tobias; Barker, Gareth J; Bokde, Arun L W; Desrivières, Sylvane; Flor, Herta; Grigis, Antoine; Garavan, Hugh; Gowland, Penny; Heinz, Andreas; Brühl, Rüdiger; Martinot, Jean-Luc; Martinot, Marie-Laure Paillère; Artiges, Eric; Nees, Frauke; Orfanos, Dimitri Papadopoulos; Paus, Tomás; Poustka, Luise; Hohmann, Sarah; Millenet, Sabina; Fröhner, Juliane H; Smolka, Michael N; Vaidya, Nilakshi; Walter, Henrik; Whelan, Robert; Schumann, Gunter; Lin, Xiaolei; Sahakian, Barbara J; Feng, Jianfeng.
Afiliação
  • Shi R; School of Data Science, Fudan University, Shanghai, China.
  • Xiang S; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
  • Jia T; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
  • Robbins TW; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
  • Kang J; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
  • Banaschewski T; Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Barker GJ; Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, China.
  • Bokde ALW; School of Psychology, University of Southampton, Southampton, UK.
  • Desrivières S; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
  • Flor H; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
  • Grigis A; Department of Psychology and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK.
  • Garavan H; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
  • Gowland P; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
  • Heinz A; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany.
  • Brühl R; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Martinot JL; Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
  • Martinot MP; Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Artiges E; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany.
  • Nees F; Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany.
  • Orfanos DP; NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France.
  • Paus T; Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA.
  • Poustka L; Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK.
  • Hohmann S; Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
  • Millenet S; Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.
  • Fröhner JH; Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France.
  • Smolka MN; Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France.
  • Vaidya N; Department of Child and Adolescent Psychiatry, AP-HP, Sorbonne Université, Pitié-Salpêtrière Hospital, Paris, France.
  • Walter H; Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France.
  • Whelan R; Psychiatry Department, EPS Barthélémy Durand, Etampes, France.
  • Schumann G; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany.
  • Lin X; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany.
  • Sahakian BJ; Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein Kiel University, Kiel, Germany.
  • Feng J; NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France.
Nat Commun ; 15(1): 5954, 2024 Jul 15.
Article em En | MEDLINE | ID: mdl-39009591
ABSTRACT
Adolescents exhibit remarkable heterogeneity in the structural architecture of brain development. However, due to limited large-scale longitudinal neuroimaging studies, existing research has largely focused on population averages, and the neurobiological basis underlying individual heterogeneity remains poorly understood. Here we identify, using the IMAGEN adolescent cohort followed up over 9 years (14-23 y), three groups of adolescents characterized by distinct developmental patterns of whole-brain gray matter volume (GMV). Group 1 show continuously decreasing GMV associated with higher neurocognitive performances than the other two groups during adolescence. Group 2 exhibit a slower rate of GMV decrease and lower neurocognitive performances compared with Group 1, which was associated with epigenetic differences and greater environmental burden. Group 3 show increasing GMV and lower baseline neurocognitive performances due to a genetic variation. Using the UK Biobank, we show these differences may be attenuated in mid-to-late adulthood. Our study reveals clusters of adolescent neurodevelopment based on GMV and the potential long-term impact.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Substância Cinzenta Limite: Adolescent / Adult / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Substância Cinzenta Limite: Adolescent / Adult / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China