Voxel-wise meta-analysis of structural changes in gray matter of Parkinson’s disease patients with mild cognitive impairment
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 stu...
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doaj-e0e7c08ac4d24d7a8362be7d482a6ef82020-11-25T03:22:08ZengAssociação Brasileira de Divulgação CientíficaBrazilian Journal of Medical and Biological Research0100-879X1414-431X53610.1590/1414-431x20209275S0100-879X2020000600609Voxel-wise meta-analysis of structural changes in gray matter of Parkinson’s disease patients with mild cognitive impairmentB. QinM.X. YangW. GaoJ.D. ZhangL.B. ZhaoH.X. QinH. ChenEvidence 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2020000600609&lng=en&tlng=envoxel-based morphometrygray mattermeta-analysisparkinson’s diseasemild cognitive impairment |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
B. Qin M.X. Yang W. Gao J.D. Zhang L.B. Zhao H.X. Qin H. Chen |
spellingShingle |
B. Qin M.X. Yang W. Gao J.D. Zhang L.B. Zhao H.X. Qin H. Chen Voxel-wise meta-analysis of structural changes in gray matter of Parkinson’s disease patients with mild cognitive impairment Brazilian Journal of Medical and Biological Research voxel-based morphometry gray matter meta-analysis parkinson’s disease mild cognitive impairment |
author_facet |
B. Qin M.X. Yang W. Gao J.D. Zhang L.B. Zhao H.X. Qin H. Chen |
author_sort |
B. Qin |
title |
Voxel-wise meta-analysis of structural changes in gray matter of Parkinson’s disease patients with mild cognitive impairment |
title_short |
Voxel-wise meta-analysis of structural changes in gray matter of Parkinson’s disease patients with mild cognitive impairment |
title_full |
Voxel-wise meta-analysis of structural changes in gray matter of Parkinson’s disease patients with mild cognitive impairment |
title_fullStr |
Voxel-wise meta-analysis of structural changes in gray matter of Parkinson’s disease patients with mild cognitive impairment |
title_full_unstemmed |
Voxel-wise meta-analysis of structural changes in gray matter of Parkinson’s disease patients with mild cognitive impairment |
title_sort |
voxel-wise meta-analysis of structural changes in gray matter of parkinson’s disease patients with mild cognitive impairment |
publisher |
Associação Brasileira de Divulgação Científica |
series |
Brazilian Journal of Medical and Biological Research |
issn |
0100-879X 1414-431X |
description |
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. |
topic |
voxel-based morphometry gray matter meta-analysis parkinson’s disease mild cognitive impairment |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2020000600609&lng=en&tlng=en |
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