Centre for Youth Mental Health - Research Publications

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    Charting brain growth and aging at high spatial precision
    Rutherford, S ; Fraza, C ; Dinga, R ; Kia, SM ; Wolfers, T ; Zabihi, M ; Berthet, P ; Worker, A ; Verdi, S ; Andrews, D ; Han, LK ; Bayer, JM ; Dazzan, P ; McGuire, P ; Mocking, RT ; Schene, A ; Sripada, C ; Tso, IF ; Duval, ER ; Chang, S-E ; Penninx, BW ; Heitzeg, MM ; Burt, SA ; Hyde, LW ; Amaral, D ; Nordahl, CW ; Andreasssen, OA ; Westlye, LT ; Zahn, R ; Ruhe, HG ; Beckmann, C ; Marquand, AF (eLIFE SCIENCES PUBL LTD, 2022-02-01)
    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.