Yuting Lou1, Peiyu Huang2, Dan Li1,3, Zhidong Cen1,4, Bo Wang1, Jixiang Gao1, Min Xuan2, Hualiang Yu5, Minming Zhang2, Wei Luo1. 1. Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China. 2. Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China. 3. Department of Neurology, People's Hospital of Nantong, Nantong, China. 4. Department of Pediatrics, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China. 5. Department of Psychiatry, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Abstract
BACKGROUND: Depression is a relatively common and serious nonmotor symptom of Parkinson's disease (PD), which reduces the quality of patients' life. Although disturbances in some related brain networks have been reported, the pathophysiology of depression in PD is still unclear. Here, we aim to investigate whole-brain functional connectivity patterns in depressed PD patients. METHODS: We recruited 17 PD patients diagnosed with major depressive disorder, 17 PD patients without depression, and 17 healthy control subjects. Resting-state functional MRI and eigenvector centrality mapping were used to identify functional connectivity alterations among these groups. RESULTS: Results showed that depressed PD patients had decreased functional connectivity in the left dorsolateral prefrontal cortex and right superior temporal gyrus and increased functional connectivity in the right posterior cingulate cortex, compared to nondepressed patients. In addition, there was a significant negative correlation between functional connectivity and depression scores in the posterior cingulate cortex. CONCLUSIONS: This study suggests that functional connectivity changes in certain nodes of brain networks might contribute to depression in patients with PD.
BACKGROUND:Depression is a relatively common and serious nonmotor symptom of Parkinson's disease (PD), which reduces the quality of patients' life. Although disturbances in some related brain networks have been reported, the pathophysiology of depression in PD is still unclear. Here, we aim to investigate whole-brain functional connectivity patterns in depressed PDpatients. METHODS: We recruited 17 PDpatients diagnosed with major depressive disorder, 17 PDpatients without depression, and 17 healthy control subjects. Resting-state functional MRI and eigenvector centrality mapping were used to identify functional connectivity alterations among these groups. RESULTS: Results showed that depressed PDpatients had decreased functional connectivity in the left dorsolateral prefrontal cortex and right superior temporal gyrus and increased functional connectivity in the right posterior cingulate cortex, compared to nondepressed patients. In addition, there was a significant negative correlation between functional connectivity and depression scores in the posterior cingulate cortex. CONCLUSIONS: This study suggests that functional connectivity changes in certain nodes of brain networks might contribute to depression in patients with PD.