Asynchronous neural maturation predicts transition to psychosis
Anton Iftimovici,
Julie Bourgin,
Josselin Houenou
et al.
Abstract:AimNeuroimaging‐based machine‐learning predictions of psychosis onset rely on the hypothesis that structural brain anomalies may reflect the underlying pathophysiology. Yet, current predictors remain difficult to interpret in light of brain structure. Here, we combined an advanced interpretable supervised algorithm and a model of neuroanatomical age to identify the level of brain maturation of the regions most predictive of psychosis.MethodsWe used the voxel‐based morphometry of a healthy control dataset (N = … Show more
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