학술논문
Charting brain growth and aging at high spatial precision
Document Type
article
Author
Rutherford, Saige; Fraza, Charlotte; Dinga, Richard; Kia, Seyed Mostafa; Wolfers, Thomas; Zabihi, Mariam; Berthet, Pierre; Worker, Amanda; Verdi, Serena; Andrews, Derek; Han, Laura KM; Bayer, Johanna MM; Dazzan, Paola; McGuire, Phillip; Mocking, Roel T; Schene, Aart; Sripada, Chandra; Tso, Ivy F; Duval, Elizabeth R; Chang, Soo-Eun; Penninx, Brenda WJH; Heitzeg, Mary M; Burt, S Alexandra; Hyde, Luke W; Amaral, David; Nordahl, Christine Wu; Andreasssen, Ole A; Westlye, Lars T; Zahn, Roland; Ruhe, Henricus G; Beckmann, Christian; Marquand, Andre F
Source
Subject
Language
Abstract
Defining reference models for population variation, and the ability to study individual deviations is essential for understanding inter-individual variability and its relation to the onset and progression of medical conditions. In this work, we assembled a reference cohort of neuroimaging data from 82 sites (N=58,836; ages 2-100) and used normative modeling to characterize lifespan trajectories of cortical thickness and subcortical volume. Models are validated against a manually quality checked subset (N=24,354) and we provide an interface for transferring to new data sources. We showcase the clinical value by applying the models to a transdiagnostic psychiatric sample (N=1985), showing they can be used to quantify variability underlying multiple disorders whilst also refining case-control inferences. These models will be augmented with additional samples and imaging modalities as they become available. This provides a common reference platform to bind results from different studies and ultimately paves the way for personalized clinical decision-making.