Machine learning combined with resting-state functional MRI to characterize functional brain differences in post-stroke depression

BackgroundPost-stroke depression (PSD) is a common neuropsychiatric condition after stroke, but its resting-state functional imaging correlates remain incompletely characterized. This study examined multi-level resting-state functional differences between patients with PSD and healthy controls and evaluated whether interpretable machine learning could identify candidate imaging features associated with PSD.MethodsFifty patients with PSD and 50 age- and sex-matched healthy controls underwent rest