602-Whole-Brain Connectivity Predicts Psychosis Risk

This study investigates how brain connectivity patterns can identify individuals at ultra-high risk (UHR) for psychosis and predict their everyday social and occupational functioning. Researchers utilized resting-state fMRI and machine learning to demonstrate that both increased and decreased connectivity—particularly involving the thalamus as a central hub—accurately distinguish UHR individuals f...去小宇宙查看完整单集简介
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