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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Voxel-wise meta-analysis of structural changes in gray matter of Parkinson's disease patients with mild cognitive
1Department of Neurology, Affiliated Liuzhou People's Hospital of Guangxi University of Science and Technology/Liuzhou People's Hospital, Liuzhou, Guangxi, China.
Abstract:
Evidence from previous voxel-based morphometry (VBM) studies indicates that widespread brain regions are involved in Parkinson's disease with mild cognitive impairment (PD-MCI). However, the spatial localization reported for gray matter (GM) abnormalities is heterogeneous. The aim of the present study was to quantitatively integrate studies on GM abnormalities observed in PD-MCI in order to determine whether a pattern exists. Eligible whole-brain VBM studies were identified by a systematic search of articles in PubMed and EMBASE databases spanning from 1995 to January 1, 2019. A meta-analysis was performed to investigate regional GM abnormalities in PD-MCI. The anisotropic effect size version of seed-based d mapping (AES-SDM) meta-analysis was conducted to explore the GMV differences of PD-MCI compared with PD patients with normal cognitive function (PD-NC). A total of 12 studies comprising 243 PD-MCI patients and 326 PD-NC were included in the meta-analysis. PD-MCI patients showed a robust GM decrease in the left insula and left superior temporal gyrus. Moreover, meta-regression analysis demonstrated that age, PD duration and stage, and Unified Parkinson's Disease Rating Scale III and Mini-Mental State Examination scores might be partly correlated with the GM abnormalities observed in PD-MCI patients. The convergent findings of this quantitative meta-analysis revealed a characteristic neuroanatomical pattern in PD-MCI. The findings provide some evidence that MCI in PD may result in the breakdown of the insula and temporal gyrus, which may serve as specific regions of interest for further investigations.
Insights
Parkinson's disease with mild cognitive impairment (PD-MCI) shows distinct gray matter (GM) decreases in the left insula and superior temporal gyrus. These findings highlight specific brain regions affected in PD-MCI for further research.
Area of Science:
- Neuroscience
- Neurology
- Radiology
Background:
- Previous voxel-based morphometry (VBM) studies show varied gray matter (GM) abnormalities in Parkinson's disease with mild cognitive impairment (PD-MCI).
- A consistent spatial localization of these GM changes has been lacking.
- Understanding these patterns is crucial for diagnosing and managing PD-MCI.
Purpose of the Study:
- To quantitatively integrate existing VBM studies on GM abnormalities in PD-MCI.
- To identify a consistent neuroanatomical pattern associated with PD-MCI.
- To explore correlations between GM changes and clinical factors in PD-MCI.
Main Methods:
- Systematic literature search of PubMed and EMBASE databases (1995-2019).
- Meta-analysis using anisotropic effect size version of seed-based d mapping (AES-SDM).
- Included 12 studies with 243 PD-MCI patients and 326 PD-NC individuals.
Main Results:
- A significant decrease in gray matter volume (GMV) was observed in the left insula and left superior temporal gyrus in PD-MCI patients compared to PD-NC.
- Meta-regression indicated potential correlations between GM abnormalities and age, PD duration/stage, UPDRS III, and MMSE scores.
- A characteristic neuroanatomical pattern of GM reduction in PD-MCI was identified.
Conclusions:
- This meta-analysis reveals a specific pattern of gray matter reduction in the left insula and superior temporal gyrus in PD-MCI.
- These brain regions may be key indicators of cognitive decline in Parkinson's disease.
- Findings suggest the insula and temporal gyrus are important targets for future PD-MCI research.
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