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 () and Jianfeng Feng ()
Additional contact information
Runye Shi: Fudan University
Shitong Xiang: Fudan University
Tianye Jia: Fudan University
Trevor W. Robbins: Fudan University
Jujiao Kang: Fudan University
Tobias Banaschewski: Heidelberg University
Gareth J. Barker: King’s College London
Arun L. W. Bokde: Trinity College Dublin
Sylvane Desrivières: King’s College London
Herta Flor: Heidelberg University
Antoine Grigis: Université Paris-Saclay
Hugh Garavan: University of Vermont
Penny Gowland: University Park
Andreas Heinz: Humboldt-Universität zu Berlin, and Berlin Institute of Health
Rüdiger Brühl: Physikalisch-Technische Bundesanstalt (PTB)
Jean-Luc Martinot: Université Paris-Saclay
Marie-Laure Paillère Martinot: Université Paris-Saclay
Eric Artiges: Université Paris-Saclay
Frauke Nees: Heidelberg University
Dimitri Papadopoulos Orfanos: Université Paris-Saclay
Tomáš Paus: University of Montreal
Luise Poustka: University Medical Centre Göttingen
Sarah Hohmann: Heidelberg University
Sabina Millenet: Heidelberg University
Juliane H. Fröhner: Technische Universität Dresden
Michael N. Smolka: Technische Universität Dresden
Nilakshi Vaidya: Charité Universitätsmedizin Berlin
Henrik Walter: Humboldt-Universität zu Berlin, and Berlin Institute of Health
Robert Whelan: Trinity College Dublin
Gunter Schumann: Fudan University
Xiaolei Lin: Fudan University
Barbara J. Sahakian: Fudan University
Jianfeng Feng: Fudan University

Nature Communications, 2024, vol. 15, issue 1, 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.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50305-0

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DOI: 10.1038/s41467-024-50305-0

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