| Zugriffsnummer | 52591 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | Investigating grey matter volumetric trajectories through the lifespan at the individual level |
| Autor(in); Institution |
Shi, Runye; School of Data Science, Fudan University, Shanghai, CHINA
Xiang, Shitong; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, CHINA
Jia, Tianye; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, CHINA
Robbins, Trevor W; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, CHINA
Kang, Jujiao; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, CHINA
Banaschewski, Tobias; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, GERMANY
Barker, Gareth J; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
Bokde, Arun L W; Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, IRELAND
Desrivières, Sylvane; Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Flor, Herta; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, GERMANY
Grigis, Antoine; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FRANCE
Brühl, Rüdiger; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
et al.,
|
| Quelle/Jahr | Nature Communications: 15 (2024), 1 - 14 |
| Artikelnummer | 5954 |
| Availability | [online only] |
| ISSN | 2041-1723 (online) |
| DOI | |
| Verlag | [London]: Springer Nature |
| Zusammenfassung | 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. |
| Kostenfreier Zugang | Open Access Gold |
| Rechteinformation | CC BY 4.0 ; Creative Commons Attribution 4.0 License |
Zitierung
Shi, R., Xiang, S., Jia, T., Robbins, T. W., Kang, J., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Desrivières, S., Flor, H., Grigis, A., Brühl, R., & et al. (2024). Investigating grey matter volumetric trajectories through the lifespan at the individual level. Nature Communications, 15, 1–14. https://doi.org/10.1038/s41467-024-50305-0