Detection of advanced brain aging in schizophrenia and its structural underpinning by using normative brain age metrics.

ABSTRACT: Conceptualizing mental disorders as deviations from normative functioning provides a statistical perspective for understanding the individual heterogeneity underlying psychiatric disorders. To broaden the understanding of the idiosyncrasy of brain aging in schizophrenia, we introduced an imaging-derived brain age paradigm combined with normative modeling as novel brain age metrics. We constructed brain age models based on GM, WM, and their combination (multimodality) features of 482 normal participants. The normalized predicted age difference (nPAD) was estimated in 147 individuals with schizophrenia and their 130 demographically matched controls through normative models of brain age metrics and compared between the groups. Regression analyses were also performed to investigate the associa

SUBMITTER: Chen CL 

PROVIDER: S-EPMC9018160 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature