Journal article
Gray matter volume drives the brain age gap in schizophrenia: a SHAP study
Abstract
Neuroimaging-based brain age is a biomarker that is generated by machine learning (ML) predictions. The brain age gap (BAG) is typically defined as the difference between the predicted brain age and chronological age. Studies have consistently reported a positive BAG in individuals with schizophrenia (SCZ). However, there is little understanding of which specific factors drive the ML-based brain age predictions, leading to limited biological …
Authors
Ballester PL; Suh JS; Ho NCW; Liang L; Hassel S; Strother SC; Arnott SR; Minuzzi L; Sassi RB; Lam RW
Journal
Schizophrenia, Vol. 9, No. 1,
Publisher
Springer Nature
DOI
10.1038/s41537-022-00330-z
ISSN
2334-265X