Networks Are Associated With Depression in Patients With Parkinson's Disease: A Resting-State Imaging Study.

Networks Are Associated With Depression in Patients With Parkinson's Disease: A Resting-State Imaging Study.
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网络与帕金森氏病患者的抑郁有关:一项静息状态成像研究。

DOI:
10.3389/fnins.2020.573538
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发表时间:
2020
影响因子:
4.3
通讯作者:
Tan C
Tan C
中科院分区:
医学2区
文献类型:
--
作者:
Liao H;Cai S;Shen Q;Fan J;Wang T;Zi Y;Mao Z;Situ W;Liu J;Zou T;Yi J;Zhu X;Tan C

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Disturbance of networks was recently proposed to be associated with the occurrence of depression in Parkinson’s disease (PD). However, the neurobiological mechanism of depression underlying PD remains unclear. This study was conducted to investigate whether intra-network and inter-network brain connectivity is differently changed in PD patients with and without depression (PDD and PDND patients, respectively). Forty-one PDD patients, 64 PDND patients, and 55 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (fMRI). The default mode network (DMN), executive control network (ECN), salience network (SN), precuneus network (PCUN), and sensorimotor network (SMN) were extracted using independent component analysis (ICA), and then the functional connectivity (FC) values within and between these networks were measured. PDD patients exhibited abnormal FC values within the DMN, ECN, SN, PCUN, and SMN. In addition, PDD patients demonstrated decreased connectivity between anterior SN (aSN) and bilateral ECN, between posterior SN (pSN) and dorsal DMN (dDMN), and between PCUN and dDMN/SMN/bilateral ECN. Connectivity within the left hippocampus of dDMN and the right medial superior frontal gyrus of aSN was a significant predictor of depression level in PD patients. Aberrant intra- and inter-network FC is involved in several important hubs in the large-scale networks, which can be a biomarker for distinguishing PDD from PDND.
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