Disrupted Resting-state Functional Connectivity of the Nucleus Basalis of Meynert in Parkinson's Disease with Mild Cognitive Impairment

被引:12
|
作者
Zhang, Chao [1 ]
Wu, Chen [1 ]
Zhang, Haiyan [2 ]
Dou, Weiqiang [3 ]
Li, Weidong [1 ]
Sami, Muhammad Umair [1 ]
Xu, Kai [1 ]
机构
[1] Xuzhou Med Univ, Affiliated Hosp, Dept Radiol, Xuzhou, Jiangsu, Peoples R China
[2] Xuzhou Med Univ, Affiliated Hosp 2, Dept Radiol, Xuzhou, Jiangsu, Peoples R China
[3] GE Healthcare, MR Res China, Beijing, Peoples R China
关键词
functional connectivity; resting-state; Meynert; Parkinson's disease; cognition; SUPERIOR PARIETAL CORTEX; WORKING-MEMORY; NETWORK CONNECTIVITY; ALZHEIMERS-DISEASE; ATTENTION; EPILEPSY; DECLINE; MRI; CLASSIFICATION; DYSFUNCTION;
D O I
10.1016/j.neuroscience.2020.07.008
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The basal nucleus of Meynert (BNM) shows structural abnormalities in Parkinson's disease with mild cognitive impairment (PD-MCI). However, it is yet unknown whether functional connectivity (FC) in the BNM (BNM-FC) is altered in patients with PD-MCI. Therefore, in this study, we compared the BNM-FC of patients with PD-MCI and PD patients with normal cognition (PD-NC), to evaluate the relationship between the observed differences of BNM-FC and neuropsychological test scores. Three patient groups, namely PD-MCI, PD-NC, and healthy controls (HCs) (n = 22 each) including were recruited for functional magnetic resonance imaging (fMRI) scanning and neuropsychological assessment. Analysis of covariance was used to assess the inter-group differences. The relationships between BNM-FC and results of cognitive tests were evaluated by partial correlation analysis. Multivariate pattern analysis was used to test whether PD-MCI can be distinguished from PD-NC based on the BNM-FC. Classifier performance was assessed through permutation testing. Compared to PD-NC and HCs, PD-MCI showed reduced BNM-FC in the right superior parietal lobe (SPL) and the right postcentral gyrus. Furthermore, a positive correlation was observed between BNM-FC and the clock copying test (CLOX)/auditory verbal learning test (AVLT) immediate recall scores. We found that 86.36% subjects were correctly classified based on the BNM-FC using the leave-one-out cross-validation (LOOCV) method, with a sensitivity of 90.91% and specificity of 81.82%. Our study provides new insights into the neural basis of cognitive dysfunction in PD patients. We also found that BNM-FC can be an effective feature to distinguish PD-MCI from PD-NC. (c) 2020 IBRO. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:228 / 236
页数:9
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