Regional gray matter reductions associated with mild cognitive impairment in Parkinson's disease: A meta-analysis of voxel-based morphometry studies

被引:20
|
作者
Zheng, Dan [1 ]
Chen, Chuang [2 ]
Song, WenChun [3 ]
Yi, ZhongQuan [4 ]
Zhao, PanWen [4 ]
Zhong, JianGuo [5 ]
Dai, ZhenYu [6 ]
Shi, HaiCun [5 ]
Pan, PingLei [4 ,5 ]
机构
[1] Jiangsu Vocat Coll Med, Sch Nursing, Yancheng, Peoples R China
[2] Xuzhou Med Univ, Peoples Hosp Huaian City 2, Huaian Hosp, Huaian, Peoples R China
[3] Southeast Univ, Sch Med, Affiliated Yancheng Hosp, Dept Geriatr, Yancheng, Peoples R China
[4] Southeast Univ, Sch Med, Affiliated Yancheng Hosp, Dept Neurol, West Xindu Rd 2, Yancheng 224001, Jiangsu, Peoples R China
[5] Southeast Univ, Sch Med, Affiliated Yancheng Hosp, Dept Cent Lab, West Xindu Rd 2, Yancheng 224001, Jiangsu, Peoples R China
[6] Southeast Univ, Sch Med, Affiliated Yancheng Hosp, Dept Radiol, Yancheng, Peoples R China
基金
中国国家自然科学基金;
关键词
Gray matter; Meta-analysis; Mild cognitive impairment; Parkinson's disease; Seed-based d mapping; Voxel-based morphometry; DOPAMINE DYSFUNCTION; WISE METAANALYSIS; DEMENTIA; INCIDENT; DEFICITS; NETWORK; ATROPHY; INSULA; ABNORMALITIES; CONNECTIVITY;
D O I
10.1016/j.bbr.2019.111973
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Mild cognitive impairment (MCI) is inconclusively associated with regional gray matter (GM) abnormalities in Parkinson's disease (PD). We aimed to quantitatively evaluate whole-brain voxel-based morphometry (VBM) studies that have investigated brain GM changes in PD patients with MCI (PD-MCI). Seed-based d Mapping, a well-validated coordinate-based meta-analytic approach, was utilized. We included 20 VBM studies that reported 22 datasets containing 504 patients with PD-MCI and 554 PD patients without MCI (PD-NCI). The most reliable finding identified in this meta-analysis was that patients with PD-MCI exhibited greater GM atrophy in the left anterior insula than those with PD-NCI. Our findings further suggest that several moderators (age, gender, educational level, disease stage, severity of motor disability, and the severity of cognitive impairments) in PD-MCI individuals, as well as scanner field-strength, may drive heterogeneous GM changes across studies. GM abnormalities in the anterior insula, an important cognitive hub involved in switching between neural networks, contribute to understanding the neural substrates of MCI in PD, which may serve as a biomarker of PD-MCI.
引用
收藏
页数:10
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