Literature DB >> 32458190

Altered white matter microarchitecture in Parkinson's disease: a voxel-based meta-analysis of diffusion tensor imaging studies.

Xueling Suo1, Du Lei2,3, Wenbin Li1,4, Lei Li1, Jing Dai5, Song Wang1, Nannan Li6, Lan Cheng6, Rong Peng6, Graham J Kemp7, Qiyong Gong1,8.   

Abstract

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.

Entities:  

Keywords:  Parkinson’s disease; anisotropic effect size–signed differential mapping; diffusion tensor imaging; fractional anisotropy; meta-analysis

Mesh:

Year:  2020        PMID: 32458190     DOI: 10.1007/s11684-019-0725-5

Source DB:  PubMed          Journal:  Front Med        ISSN: 2095-0217            Impact factor:   4.592


  84 in total

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Authors:  Warren D Taylor; Edward Hsu; K Ranga Rama Krishnan; James R MacFall
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Review 4.  Epidemiology of Parkinson's disease.

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5.  Altered diffusion in the frontal lobe in Parkinson disease.

Authors:  A T Karagulle Kendi; S Lehericy; M Luciana; K Ugurbil; P Tuite
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Authors:  Heinz Reichmann; Moritz D Brandt; Lisa Klingelhoefer
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  9 in total

Review 1.  Global Alterations of Whole Brain Structural Connectome in Parkinson's Disease: A Meta-analysis.

Authors:  Chao Zuo; Xueling Suo; Huan Lan; Nanfang Pan; Song Wang; Graham J Kemp; Qiyong Gong
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2.  Abnormalities of intrinsic brain activity in essential tremor: A meta-analysis of resting-state functional imaging.

Authors:  Huan Lan; Xueling Suo; Wenbin Li; Nannan Li; Junying Li; Jiaxin Peng; Du Lei; John A Sweeney; Graham J Kemp; Rong Peng; Qiyong Gong
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3.  Altered White Matter Microstructures in Type 2 Diabetes Mellitus: A Coordinate-Based Meta-Analysis of Diffusion Tensor Imaging Studies.

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4.  Psychoradiological abnormalities in treatment-naive noncomorbid patients with posttraumatic stress disorder.

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5.  White Matter Abnormalities in Patients With Parkinson's Disease: A Meta-Analysis of Diffusion Tensor Imaging Using Tract-Based Spatial Statistics.

Authors:  Xia Wei; Chunyan Luo; Qian Li; Na Hu; Yuan Xiao; Nian Liu; Su Lui; Qiyong Gong
Journal:  Front Aging Neurosci       Date:  2021-01-28       Impact factor: 5.750

6.  Disrupted morphological grey matter networks in early-stage Parkinson's disease.

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7.  Utility of manual fractional anisotropy measurements in the management of patients with Parkinson disease: a feasibility study with a 1.5-T magnetic resonance imaging system.

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8.  Longitudinal corpus callosum microstructural decline in early-stage Parkinson's disease in association with akinetic-rigid symptom severity.

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9.  Topologically convergent and divergent morphological gray matter networks in early-stage Parkinson's disease with and without mild cognitive impairment.

Authors:  Xueling Suo; Du Lei; Nannan Li; Junying Li; Jiaxin Peng; Wenbin Li; Jing Yang; Kun Qin; Graham J Kemp; Rong Peng; Qiyong Gong
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