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Regional gray matter reductions associated with mild cognitive impairment in Parkinson's disease: A meta-analysis of
Dan Zheng1, Chuang Chen2, WenChun Song3
1School of Nursing, Jiangsu Vocational College of Medicine, Yancheng, PR China.
Abstract:
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.
Insights
Parkinson's disease patients with mild cognitive impairment (PD-MCI) show greater gray matter loss in the left anterior insula compared to those without cognitive issues. This brain region is key for cognitive function and may serve as a biomarker for PD-MCI.
Area of Science:
- Neuroscience
- Neurology
- Radiology
Background:
- Mild cognitive impairment (MCI) in Parkinson's disease (PD) is linked to inconsistent brain abnormalities.
- Quantitative evaluation of gray matter (GM) changes in PD patients with MCI (PD-MCI) is needed.
Purpose of the Study:
- To quantitatively evaluate whole-brain voxel-based morphometry (VBM) studies on GM changes in PD-MCI.
- To identify specific brain regions affected by GM atrophy in PD-MCI.
Main Methods:
- Utilized Seed-based d Mapping, a coordinate-based meta-analytic approach.
- Included 20 VBM studies with 22 datasets (504 PD-MCI patients, 554 PD-NCI patients).
Main Results:
- PD-MCI patients showed significantly greater GM atrophy in the left anterior insula compared to PD patients without MCI (PD-NCI).
- Potential moderators like age, gender, disease stage, and scanner field strength may influence GM changes.
Conclusions:
- GM atrophy in the left anterior insula is a reliable finding in PD-MCI.
- The anterior insula's role in neural network switching suggests its involvement in MCI pathophysiology in PD.
- Anterior insula GM changes could serve as a potential biomarker for PD-MCI.