Significance Charting how the brain develops is key to understanding abnormal brain changes in common psychiatric and neurological disorders. Pooling brain scans from large cohorts of individuals at a specific… Click to show full abstract
Significance Charting how the brain develops is key to understanding abnormal brain changes in common psychiatric and neurological disorders. Pooling brain scans from large cohorts of individuals at a specific point in time—i.e., cross-sectionally—has allowed researchers to indirectly infer dynamic brain changes across the human lifespan. However, it is unknown whether this inference is accurate—do brain growth charts estimated from cross-sectional snapshots accurately mirror true brain changes observed in the same individuals scanned at multiple timepoints? Here, we demonstrate that brain charts inferred from cross-sectional data underestimate brain changes directly observed in longitudinal data. As we endeavor to accurately map human brain development, we must also incorporate longitudinal measurements of the brain.
               
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