Author:
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 Tomáš,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,
Abstract
AbstractAdolescents exhibit remarkable heterogeneity in the structural architecture of brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, existing research has largely focused on population averages and the neurobiological basis underlying individual heterogeneity remains poorly understood. Using structural magnetic resonance imaging from the IMAGEN cohort (n=1,543), we show that adolescents can be clustered into three groups defined by distinct developmental patterns of whole-brain gray matter volume (GMV). Genetic and epigenetic determinants of group clustering and long-term impacts of neurodevelopment in mid-to-late adulthood were investigated using data from the ABCD, IMAGEN and UK Biobank cohorts. Group 1, characterized by continuously decreasing GMV, showed generally the best neurocognitive performances during adolescence. Compared to Group 1, Group 2 exhibited a slower rate of GMV decrease and worsened neurocognitive development, which was associated with epigenetic changes and greater environmental burden. Further, Group 3 showed increasing GMV and delayed neurocognitive development during adolescence due to a genetic variation, while these disadvantages were attenuated in mid-to-late adulthood. In summary, our study revealed novel clusters of adolescent structural neurodevelopment and suggested that genetically-predicted delayed neurodevelopment has limited long-term effects on mental well-being and socio-economic outcomes later in life. Our results could inform future research on policy interventions aimed at reducing the financial and emotional burden of mental illness.
Publisher
Cold Spring Harbor Laboratory
Cited by
1 articles.
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