Bilateral thalamic gray matter changes in patients with restless legs syndrome

Etgen, Thorleif; Draganski, Bogdan; Ilg, Carolin; Schröder, M.; Geisler, Peter; Hajak, Göran; Eisensehr, Ilonka; Sander, Dirk; May, Arne

doi:10.1016/j.neuroimage.2004.10.021

Cited by 117 publications

(81 citation statements)

References 50 publications

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“…[7][8][9]20,21 An increase in the volume of the thalamus was reported in 1 study performed on 2 independent RLS series, 8 and a decrease in the volume of the primary somatosensory and primary motor cortex was reported in a second study. 7 GM volume changes have been demonstrated in patients treated with medications affecting the dopamine system; thus, brain volume changes in patients with RLS under medication may represent a secondary pharmacologic effect on brain plasticity.…”

Section: Discussionmentioning

confidence: 93%

“…Small sample size, use of different techniques, inclusion of patients under medication, and lack of distinction between eRLS and late-onset RLS were probably responsible for the inconsistency in observations. [7][8][9] fMRI studies have been conducted in patients with RLS with undefined disease onset 10 and late onset. 6 fMRI during episodes of combined sensory and motor symptoms has revealed activity in the cerebellum, red nucleus, and thalamus.…”

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confidence: 99%

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Investigation of Unmedicated Early Onset Restless Legs Syndrome by Voxel-Based Morphometry, T2 Relaxometry, and Functional MR Imaging during the Night-Time Hours

Margariti

Astrakas²,

Tsouli³

et al. 2011

AJNR Am J Neuroradiol

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Section: Discussionmentioning

confidence: 93%

mentioning

confidence: 99%

Investigation of Unmedicated Early Onset Restless Legs Syndrome by Voxel-Based Morphometry, T2 Relaxometry, and Functional MR Imaging during the Night-Time Hours

Margariti

Astrakas²,

Tsouli³

et al. 2011

AJNR Am J Neuroradiol

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“…Data preprocessing and analysis were performed with SPM2 (Welcome Department of Cognitive Neurology, London, UK) running under Matlab (The MathWorks) and described in detail previously (Draganski et al, 2004;Etgen et al, 2005). In summary, preprocessing involved spatial normalization, gray-matter segmentation and 10 mm spatial smoothing with a Gaussian kernel.…”

Section: Methodsmentioning

confidence: 99%

Training-Induced Brain Structure Changes in the Elderly

Boyke¹,

Driemeyer²,

Gaser³

et al. 2008

J. Neurosci.

592

421

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It has been suggested that learning is associated with a transient and highly selective increase in brain gray matter in healthy young volunteers. It is not clear whether and to what extent the aging brain is still able to exhibit such structural plasticity. We built on our original study, now focusing on healthy senior citizens. We observed that elderly persons were able to learn three-ball cascade juggling, but with less proficiency compared with 20-year-old adolescents. Similar to the young group, gray-matter changes in the older brain related to skill acquisition were observed in area hMT/V5 (middle temporal area of the visual cortex). In addition, elderly volunteers who learned to juggle showed transient increases in gray matter in the hippocampus on the left side and in the nucleus accumbens bilaterally.

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“…Table 2 also illustrates an approximate quantitative estimate of percentage overlap in suprathreshold voxels in these areas. Additionally, the evaluation of GMC differences across sites using a conjunction analysis (Etgen et al, 2005) revealed no significant voxels at the p<0.05 FWE corrected threshold. Multiple brain imaging studies indicate widespread gray matter volume abnormalities in schizophrenia.…”

Section: Main Effect Of Sitementioning

confidence: 97%

A large scale (N=400) investigation of gray matter differences in schizophrenia using optimized voxel-based morphometry

Meda

Giuliani

Calhoun

et al. 2008

Schizophrenia Research

111

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Background-Many studies have employed voxel-based morphometry (VBM) of MRI images as an automated method of investigating cortical gray matter differences in schizophrenia. However, results from these studies vary widely, likely due to different methodological or statistical approaches.Objective-To use VBM to investigate gray matter differences in schizophrenia in a sample significantly larger than any published to date, and to increase statistical power sufficiently to reveal differences missed in smaller analyses.Methods-Magnetic resonance whole brain images were acquired from four geographic sites, all using the same model 1.5T scanner and software version, and combined to form a sample of 200 patients with both first episode and chronic schizophrenia and 200 healthy controls, matched for age, gender and scanner location. Gray matter concentration was assessed and compared using optimized VBM.Results-Compared to the healthy controls, schizophrenia patients showed significantly less gray matter concentration in multiple cortical and subcortical regions, some previously unreported. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Overall, we found lower concentrations of gray matter in regions identified in prior studies, most of which reported only subsets of the affected areas. NIH Public AccessConclusions-Gray matter differences in schizophrenia are most comprehensively elucidated using a large, diverse and representative sample.

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Bilateral thalamic gray matter changes in patients with restless legs syndrome

Cited by 117 publications

References 50 publications

Investigation of Unmedicated Early Onset Restless Legs Syndrome by Voxel-Based Morphometry, T2 Relaxometry, and Functional MR Imaging during the Night-Time Hours

Investigation of Unmedicated Early Onset Restless Legs Syndrome by Voxel-Based Morphometry, T2 Relaxometry, and Functional MR Imaging during the Night-Time Hours

Training-Induced Brain Structure Changes in the Elderly

A large scale (N=400) investigation of gray matter differences in schizophrenia using optimized voxel-based morphometry

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