Grey matter alterations in restless legs syndrome: A coordinate‐based meta‐analysis

• Published in: Journal of sleep research 2021-10, Vol.30 (5), p.e13298-n/a
• Main Authors: Sheng, LiQin, Zhao, PanWen, Ma, HaiRong, Qi, Liang, Yi, ZhongQuan, Shi, YuanYuan, Zhong, JianGuo, Shi, HaiCun, Dai, ZhenYu, Pan, PingLei
• Format: Article
• Language: English
• Subjects: coordinate‐based meta‐analysis; grey matter; restless legs syndrome; seed‐based d mapping; voxel‐based morphometry
• ISSN: 0962-1105; 1365-2869
• DOI: 10.1111/jsr.13298

Summary Brain structural abnormalities in idiopathic restless legs syndrome have long been debated. Voxel‐based morphometry is an objective structural magnetic resonance imaging technique to investigate regional grey matter volume or density differences between groups. In the last decade, voxel‐based morphometry studies have exhibited inconsistent and conflicting findings regarding the presence and localization of brain grey matter alterations in restless legs syndrome. We therefore conducted a coordinate‐based meta‐analysis to quantitatively examine whether there were consistent grey matter findings in restless legs syndrome using the latest algorithms, seed‐based d mapping with permutation of subject images. We included 12 voxel‐based morphometry studies (13 datasets, 375 patients and 385 healthy controls). Our coordinate‐based meta‐analysis did not identify evidence of consistent grey matter alterations in restless legs syndrome. Grey matter alterations via voxel‐based morphometry analysis are not therefore recommended to be used as a reliable surrogate neuroimaging marker for restless legs syndrome. This lack of consistency may be attributed to differences in sample size, genetics, gender distribution and age at onset, clinical heterogeneity (clinical course, anatomical distribution of symptoms, disease severity, disease duration, abnormal sensory profiles and comorbidity), and variations in imaging acquisition, data processing and statistical strategies. Longitudinal studies with multimodal neuroimaging techniques are needed to determine whether structural changes are dynamic and secondary to functional abnormalities.