Nature Communications (Jul 2024)
Investigating grey matter volumetric trajectories through the lifespan at the individual level
- Runye Shi,
- Shitong Xiang,
- Tianye Jia,
- Trevor W. Robbins,
- Jujiao Kang,
- Tobias Banaschewski,
- Gareth J. Barker,
- Arun L. W. Bokde,
- Sylvane Desrivières,
- Herta Flor,
- Antoine Grigis,
- Hugh Garavan,
- Penny Gowland,
- Andreas Heinz,
- Rüdiger Brühl,
- Jean-Luc Martinot,
- Marie-Laure Paillère Martinot,
- Eric Artiges,
- Frauke Nees,
- Dimitri Papadopoulos Orfanos,
- Tomáš Paus,
- Luise Poustka,
- Sarah Hohmann,
- Sabina Millenet,
- Juliane H. Fröhner,
- Michael N. Smolka,
- Nilakshi Vaidya,
- Henrik Walter,
- Robert Whelan,
- Gunter Schumann,
- Xiaolei Lin,
- Barbara J. Sahakian,
- Jianfeng Feng,
- IMAGEN Consortium
Affiliations
- Runye Shi
- School of Data Science, Fudan University
- Shitong Xiang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
- Tianye Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
- Trevor W. Robbins
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
- Jujiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
- Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University
- Gareth J. Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London
- Arun L. W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin
- Sylvane Desrivières
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London
- Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University
- Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay
- Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont
- Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park
- Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health
- Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB)
- Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 “Trajectoires développementales en psychiatrie”, Université Paris-Saclay
- Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 “Trajectoires développementales en psychiatrie”, Université Paris-Saclay
- Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 “Trajectoires développementales en psychiatrie”, Université Paris-Saclay
- Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University
- Dimitri Papadopoulos Orfanos
- NeuroSpin, CEA, Université Paris-Saclay
- Tomáš Paus
- Department of Psychiatry, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal
- Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen
- Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University
- Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University
- Juliane H. Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden
- Michael N. Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden
- Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin
- Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health
- Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin
- Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University
- Xiaolei Lin
- School of Data Science, Fudan University
- Barbara J. Sahakian
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
- Jianfeng Feng
- School of Data Science, Fudan University
- IMAGEN Consortium
- DOI
- https://doi.org/10.1038/s41467-024-50305-0
- Journal volume & issue
-
Vol. 15,
no. 1
pp. 1 – 14
Abstract
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.
