Altered white matter microarchitecture in Parkinson's disease: a voxel-based meta-analysis of diffusion tensor imaging studies.
Parkinson’s disease
anisotropic effect size–signed differential mapping
diffusion tensor imaging
fractional anisotropy
meta-analysis
Journal
Frontiers of medicine
ISSN: 2095-0225
Titre abrégé: Front Med
Pays: China
ID NLM: 101549428
Informations de publication
Date de publication:
Feb 2021
Feb 2021
Historique:
received:
08
06
2019
accepted:
12
10
2019
pubmed:
28
5
2020
medline:
28
4
2021
entrez:
28
5
2020
Statut:
ppublish
Résumé
This study aimed to define the most consistent white matter microarchitecture pattern in Parkinson's disease (PD) reflected by fractional anisotropy (FA), addressing clinical profiles and methodology-related heterogeneity. Web-based publication databases were searched to conduct a meta-analysis of whole-brain diffusion tensor imaging studies comparing PD with healthy controls (HC) using the anisotropic effect size-signed differential mapping. A total of 808 patients with PD and 760 HC coming from 27 databases were finally included. Subgroup analyses were conducted considering heterogeneity with respect to medication status, disease stage, analysis methods, and the number of diffusion directions in acquisition. Compared with HC, patients with PD had decreased FA in the left middle cerebellar peduncle, corpus callosum (CC), left inferior fronto-occipital fasciculus, and right inferior longitudinal fasciculus. Most of the main results remained unchanged in subgroup meta-analyses of medicated patients, early stage patients, voxel-based analysis, and acquisition with 30 diffusion directions. The subgroup meta-analysis of medication-free patients showed FA decrease in the right olfactory cortex. The cerebellum and CC, associated with typical motor impairment, showed the most consistent FA decreases in PD. Medication status, analysis approaches, and the number of diffusion directions have an important impact on the findings, needing careful evaluation in future meta-analyses.
Identifiants
pubmed: 32458190
doi: 10.1007/s11684-019-0725-5
pii: 10.1007/s11684-019-0725-5
doi:
Types de publication
Journal Article
Meta-Analysis
Langues
eng
Sous-ensembles de citation
IM
Pagination
125-138Références
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