Diffusion imaging studies of Huntington's disease: A meta-analysis. (November 2016)
- Record Type:
- Journal Article
- Title:
- Diffusion imaging studies of Huntington's disease: A meta-analysis. (November 2016)
- Main Title:
- Diffusion imaging studies of Huntington's disease: A meta-analysis
- Authors:
- Liu, Wanglin
Yang, Jing
Burgunder, JeanMarc
Cheng, Bochao
Shang, Huifang - Abstract:
- Abstract: Background: Diffusion tensor imaging (DTI) could detect abnormal brain microstructural alterations. DTI studies of Huntington's Disease(HD) have yielded inconsistent results. Objective: To integrate the existing DTI studies of HD and explore the validity of DTI to detect microstructural damages in HD brain via meta-analysis. Methods: Systematic and comprehensive searches of the databases were performed for DTI studies of HD. The data from the studies that met our inclusion criteria were extracted and analyzed using the CMA2 software. Random effect models were utilized to minimize the potential between-study heterogeneity. One-way sensitivity analysis was conducted to test the robustness of the results. Results: The meta-analysis included 140 pre-symptomatic HD (PreHD), 235 symptomatic HD (SymHD) patients and 302 controls, revealing significantly increased fractional anisotropy (FA) in the caudate, putamen, and globus pallidus, while decreased FA in the corpus callosum of both PreHD and SymHD patients compared with controls. In addition, significantly increased mean diffusivity (MD) was identified in the putamen and thalamus of both PreHD and SymHD patients, and in the caudate of SymHD patients, while no significant difference in MD in the caudate of PreHD patients. In the corpus callosum, there was a significant increase of radial diffusivity and axial diffusivity in SymHD patients compared with controls. Meta-regression showed gender-based difference in MD valuesAbstract: Background: Diffusion tensor imaging (DTI) could detect abnormal brain microstructural alterations. DTI studies of Huntington's Disease(HD) have yielded inconsistent results. Objective: To integrate the existing DTI studies of HD and explore the validity of DTI to detect microstructural damages in HD brain via meta-analysis. Methods: Systematic and comprehensive searches of the databases were performed for DTI studies of HD. The data from the studies that met our inclusion criteria were extracted and analyzed using the CMA2 software. Random effect models were utilized to minimize the potential between-study heterogeneity. One-way sensitivity analysis was conducted to test the robustness of the results. Results: The meta-analysis included 140 pre-symptomatic HD (PreHD), 235 symptomatic HD (SymHD) patients and 302 controls, revealing significantly increased fractional anisotropy (FA) in the caudate, putamen, and globus pallidus, while decreased FA in the corpus callosum of both PreHD and SymHD patients compared with controls. In addition, significantly increased mean diffusivity (MD) was identified in the putamen and thalamus of both PreHD and SymHD patients, and in the caudate of SymHD patients, while no significant difference in MD in the caudate of PreHD patients. In the corpus callosum, there was a significant increase of radial diffusivity and axial diffusivity in SymHD patients compared with controls. Meta-regression showed gender-based difference in MD values of the caudate. Conclusions: Our meta-analysis provides further evidence that DTI detects microstructural damage of both white matter and gray matter even in PreHD gene carriers. MD is less sensitive than FA in detecting structural changes in PreHD. Highlights: . Diffusion tensor imaging could detect abnormal brain microstructural alterations. Meta-analysis integrates existing DTI studies of HD and expands sample size. DTI detects microstructural damage of both WM and GM even in HD gene carriers. MD is less sensitive than FA in detecting pre-symptomatic changes in the striatum. … (more)
- Is Part Of:
- Parkinsonism & related disorders. Volume 32(2016)
- Journal:
- Parkinsonism & related disorders
- Issue:
- Volume 32(2016)
- Issue Display:
- Volume 32, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 32
- Issue:
- 2016
- Issue Sort Value:
- 2016-0032-2016-0000
- Page Start:
- 94
- Page End:
- 101
- Publication Date:
- 2016-11
- Subjects:
- Huntington's disease -- Diffusion tensor imaging (DTI) -- Microstructural -- Fractional anisotropy (FA) -- Mean diffusivity (MD)
Parkinson's disease -- Periodicals
Movement disorders -- Periodicals
Movement Disorders -- Periodicals
Nerve Degeneration -- Periodicals
Nervous System Diseases -- Periodicals
Parkinson Disease -- Periodicals
Tremor -- Periodicals
Parkinson, Maladie de -- Périodiques
Parkinson's disease
616.833 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13538020 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/13538020 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/13538020 ↗
http://www.prd-journal.com/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.parkreldis.2016.09.005 ↗
- Languages:
- English
- ISSNs:
- 1353-8020
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6406.787000
British Library DSC - BLDSS-3PM
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