To better understand the underlying mechanisms for a wide range of emotional disturbances in post-stroke depression (PSD) patients, we used structural brain connectivity analysis to investigate the differences in global and local network organization of stroke patients with PSD and no PSD. Our results demonstrated that the efficiency of both local and regional network of patients with PSD were higher compared to those without, and that higher depression severity was significantly associated with increased network efficiency. These results indicated that the disrupted network architecture might be the cause of depressive symptoms in PSD patients, and brain network analysis is a useful tool to link psychological disorders with their underlying anatomical substrate.
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