Charting Brain Growth and Aging at High Spatial Precision
Seyed Mostafa Kia,
Roel T. Mocking,
Ivy F. Tso,
Elizabeth R. Duval,
Brenda W. Pennix,
Mary M. Heitzeg,
S Alexandra Burt,
Christine Wu Nordahl,
Ole A. Andreasssen,
Lars T. Westlye,
Henricus G Ruhe,
Posted 08 Aug 2021
bioRxiv DOI: 10.1101/2021.08.08.455487
Posted 08 Aug 2021
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 use 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=1,985), 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.
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