Liu Qinru, Mao Zhenni, Tan Changlian, Cai Sainan, Shen Qin, Wang Min, Li Junli, Zhang Lin, Zhou Fan, Song Chendie, Yuan Jiaying, Liu Yujing, Liu Jun, Liao Haiyan
Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China.
Department of Radiology, The Third Hospital of Changsha, Changsha, China.
Front Neurosci. 2022 Sep 21;16:931365. doi: 10.3389/fnins.2022.931365. eCollection 2022.
The aim of this study is to explore the neural network mechanism of Parkinson's disease (PD) with different degrees of depression using independent component analysis (ICA) of the functional connectivity changes in the forehead, limbic system, and basal ganglia regions.
A total of 106 patients with PD were divided into three groups: PD with moderate-severe depression (PDMSD, = 42), PD with mild depression (PDMD, = 29), and PD without depression (PDND, = 35). Fifty gender- and age-matched healthy subjects were recruited as a control group (HC). Three-dimensional T1-weighted image and resting-state functional magnetic resonance imaging (RS-fMRI) data were collected.
Different functional connectivity was observed in the left precentral gyrus, right precuneus, right inferior frontal gyrus, right medial and paracingulate gyrus, left supplementary motor area, right brain insula, and the inferior frontal gyrus of the left orbit among the four groups (ANOVA, < 0.05, Voxel size > 5). Both PDMD and PDMSD exhibited increased functional connectivity in the superior-posterior default-mode network (spDMN) and left frontoparietal network (LFPN); they also exhibited a decreased functional connectivity in the interior Salience Network (inSN) when compared with the PDND group. The functional connectivity within the inSN network was decreased in the PDMSD group when compared with the PDMD group (Alphasim correction, < 0.05, voxel size > 5).
PD with different degrees of depression has abnormal functional connectivity in multiple networks, which is an important neurobiological basis for the occurrence and development of depression in PD. The degree of decreased functional connectivity in the inSN network is related to the degree of depression in patients with PD-D, which can be an imaging marker for PD to judge the severity of depression.
本研究旨在通过对前额叶、边缘系统和基底神经节区域功能连接变化进行独立成分分析（ICA），探索不同程度抑郁症帕金森病（PD）的神经网络机制。
将106例帕金森病患者分为三组：中重度抑郁症帕金森病（PDMSD，n = 42）、轻度抑郁症帕金森病（PDMD，n = 29）和无抑郁症帕金森病（PDND，n = 35）。招募50名年龄和性别匹配的健康受试者作为对照组（HC）。收集三维T1加权图像和静息态功能磁共振成像（RS-fMRI）数据。
四组之间在左侧中央前回、右侧楔前叶、右侧额下回、右侧内侧和扣带旁回、左侧辅助运动区、右脑岛以及左侧眶额下回观察到不同的功能连接（方差分析，P < 0.05，体素大小>5）。与PDND组相比，PDMD和PDMSD在默认模式网络的上后部（spDMN）和左侧额顶叶网络（LFPN）中均表现出功能连接增加；它们在内侧突显网络（inSN）中的功能连接也降低。与PDMD组相比，PDMSD组inSN网络内的功能连接降低（Alphasim校正后，P < 0.05，体素大小>5）。
不同程度抑郁症帕金森病在多个网络中存在功能连接异常，这是帕金森病中抑郁症发生和发展的重要神经生物学基础。inSN网络中功能连接降低的程度与帕金森病伴抑郁症患者的抑郁程度相关，可作为判断帕金森病抑郁严重程度的影像学标志物。
