Gray matter abnormalities in Tourette Syndrome: a meta-analysis of voxel-based morphometry studies

被引:10
|
作者
Wan X. [1 ,4 ]
Zhang S. [1 ,4 ]
Wang W. [2 ]
Su X. [1 ,4 ]
Li J. [3 ]
Yang X. [4 ]
Tan Q. [1 ,4 ]
Yue Q. [4 ]
Gong Q. [1 ,4 ,5 ,6 ]
机构
[1] Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu
[2] Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou
[3] The Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu
[4] Department of Radiology, West China Hospital of Sichuan University, Chengdu
[5] Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu
[6] Functional and Molecular Imaging Key Laboratory of Sichuan Province, Chengdu
基金
中国国家自然科学基金;
关键词
D O I
10.1038/s41398-021-01394-8
中图分类号
学科分类号
摘要
Tourette syndrome (TS) is a neurobehavioral disorder for which the neurological mechanism has not been elucidated. Voxel-based morphometry (VBM) studies have revealed abnormalities in gray matter volume (GMV) in patients with TS; however, consistent results have not been obtained. The current study attempted to provide a voxel wise meta-analysis of gray matter changes using seed-based d mapping (SDM). We identified ten relevant studies that investigated gray matter alterations in TS patients and performed a meta-analysis using the SDM method to quantitatively estimate regional gray matter abnormalities. Next, we examined the relationships between GMV abnormalities and demographic and clinical characteristics. Our results demonstrated that TS patients had smaller GMV in the bilateral inferior frontal gyri and greater GMV in the cerebellum, right striatum (putamen), and bilateral thalami (pulvinar nucleus) than healthy controls. A meta-regression analysis did not identify correlations between GMV changes and demographic or clinical variables. This meta-analysis confirmed significant and consistent GMV changes in several brain regions of TS patients, primarily in the cortico-striato-thalamo-cortical network. © 2021, The Author(s).
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