White matter volume loss in amyotrophic lateral sclerosis: A meta-analysis of voxel-based morphometry studies

2018 ◽  
Vol 83 ◽  
pp. 110-117 ◽  
Author(s):  
Guangxiang Chen ◽  
Baiwan Zhou ◽  
Hongyan Zhu ◽  
Weihong Kuang ◽  
Feng Bi ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
White Matter ◽  
Meta Analysis ◽  
Volume Loss ◽  
Voxel Based Morphometry ◽  
White Matter Volume ◽  
Matter Volume ◽  
Lateral Sclerosis

scholarly journals Neuroanatomy of Patients with Deficit Schizophrenia: An Exploratory Quantitative Meta-Analysis of Structural Neuroimaging Studies

2020 ◽  
Vol 17 (17) ◽  
pp. 6227 ◽  
Author(s):  
Tji Tjian Chee ◽  
Louis Chua ◽  
Hamilton Morrin ◽  
Mao Fong Lim ◽  
Johnson Fam ◽  
...  
Keyword(s):  
White Matter ◽  
Negative Symptoms ◽  
Meta Analysis ◽  
Regions Of Interest ◽  
Grey Matter Volume ◽  
Healthy Controls ◽  
White Matter Volume ◽  
Total Brain Volume ◽  
Matter Volume ◽  
Deficit Schizophrenia

Little is known regarding the neuroanatomical correlates of patients with deficit schizophrenia or persistent negative symptoms. In this meta-analysis, we aimed to determine whether patients with deficit schizophrenia have characteristic brain abnormalities. We searched PubMed, CINAHL and Ovid to identify studies that examined the various regions of interest amongst patients with deficit schizophrenia, patients with non-deficit schizophrenia and healthy controls. A total of 24 studies met our inclusion criteria. A random-effects model was used to calculate a combination of outcome measures, and heterogeneity was assessed by the I2 statistic and Cochran’s Q statistic. Our findings suggested that there was statistically significant reduction in grey matter volume (−0.433, 95% confidence interval (CI): −0.853 to −0.014, p = 0.043) and white matter volume (−0.319, 95% CI: −0.619 to −0.018, p = 0.038) in patients with deficit schizophrenia compared to healthy controls. There is also statistically significant reduction in total brain volume (−0.212, 95% CI: −0.384 to −0.041, p = 0.015) and white matter volume (−0.283, 95% CI: −0.546 to −0.021, p = 0.034) in patients with non-deficit schizophrenia compared to healthy controls. Between patients with deficit and non-deficit schizophrenia, there were no statistically significant differences in volumetric findings across the various regions of interest.

Gray matter and white matter volume loss in anorexia nervosa

1996 ◽  
Vol 39 (7) ◽  
pp. 603
Author(s):  
R.B. Zipursky ◽  
E.K. Lambe ◽  
D. Goldbloom ◽  
J. Ridgley ◽  
D.J. Mikulis ◽  
...  
Keyword(s):  
Anorexia Nervosa ◽  
White Matter ◽  
Gray Matter ◽  
Volume Loss ◽  
White Matter Volume ◽  
Matter Volume

Voxel-based meta-analysis of regional white-matter volume differences in autism spectrum disorder versus healthy controls

2010 ◽  
Vol 41 (7) ◽  
pp. 1539-1550 ◽  
Author(s):  
J. Radua ◽  
E. Via ◽  
M. Catani ◽  
D. Mataix-Cols
Keyword(s):  
Autism Spectrum Disorder ◽  
White Matter ◽  
Diffusion Tensor ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Sensitivity Analyses ◽  
Healthy Controls ◽  
White Matter Volume ◽  
Matter Volume

BackgroundWe conducted a meta-analysis of voxel-based morphometry (VBM) studies in autism spectrum disorder (ASD) to clarify the changes in regional white-matter volume underpinning this condition, and generated an online database to facilitate replication and further analyses by other researchers.MethodPubMed, ScienceDirect, Web of Knowledge and Scopus databases were searched between 2002 (the date of the first white-matter VBM study in ASD) and 2010. Manual searches were also conducted. Authors were contacted to obtain additional data. Coordinates were extracted from clusters of significant white-matter difference between patients and controls. A new template for white matter was created for the signed differential mapping (SDM) meta-analytic method. A diffusion tensor imaging (DTI)-derived atlas was used to optimally localize the changes in white-matter volume.ResultsThirteen datasets comprising 246 patients with ASD and 237 healthy controls met inclusion criteria. No between-group differences were found in global white-matter volumes. ASD patients showed increases of white-matter volume in the right arcuate fasciculus and also in the left inferior fronto-occipital and uncinate fasciculi. These findings remained unchanged in quartile and jackknife sensitivity analyses and also in subgroup analyses (pediatric versus adult samples).ConclusionsPatients with ASD display increases of white-matter volume in tracts known to be important for language and social cognition. Whether the results apply to individuals with lower IQ or younger age and whether there are meaningful neurobiological differences between the subtypes of ASD remain to be investigated.

scholarly journals Meta-analysis of regional white matter volume in bipolar disorder with replication in an independent sample using coordinates, T-maps, and individual MRI data

2018 ◽  
Vol 84 ◽  
pp. 162-170 ◽  
Author(s):  
Stefania Pezzoli ◽  
Louise Emsell ◽  
Sarah W. Yip ◽  
Danai Dima ◽  
Panteleimon Giannakopoulos ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
White Matter ◽  
Meta Analysis ◽  
White Matter Volume ◽  
Matter Volume

scholarly journals Reduced Frontal White Matter Volume in Long-Term Childhood Leukemia Survivors: A Voxel-Based Morphometry Study

2008 ◽  
Vol 29 (4) ◽  
pp. 792-797 ◽  
Author(s):  
M.E. Carey ◽  
M.W. Haut ◽  
S.L. Reminger ◽  
J.J. Hutter ◽  
R. Theilmann ◽  
...  
Keyword(s):  
White Matter ◽  
Childhood Leukemia ◽  
Voxel Based Morphometry ◽  
White Matter Volume ◽  
Matter Volume ◽  
Frontal White Matter

scholarly journals Causal effect of atrial fibrillation on brain white or grey matter volume: A Mendelian randomization study

2020 ◽  
Author(s):  
Sehoon Park ◽  
Soojin Lee ◽  
Yaerim Kim ◽  
Semin Cho ◽  
Kwangsoo Kim ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
White Matter ◽  
Grey Matter ◽  
Mendelian Randomization ◽  
Brain Volume ◽  
Causal Effect ◽  
Grey Matter Volume ◽  
Volume Loss ◽  
White Matter Volume ◽  
Matter Volume

AbstractBackgroundAtrial fibrillation (AF) and brain volume loss are prevalent in older individuals. Further study investigating the causal effect of AF on brain volume is warranted.MethodsThis study was a Mendelian randomization (MR) analysis. The genetic instrument for AF was constructed from a previous genome-wide association study (GWAS) meta-analysis and included 537,409 individuals of European ancestry. The outcome summary statistics for quantile-normalized white or grey matter volume measured by magnetic resonance imaging were provided by the previous GWAS of 8426 white British UK Biobank participants. The main MR method was the inverse variance weighted method, supported by sensitivity MR analysis including MR-Egger regression and the weighted median method. The causal estimates from AF to white or grey matter volume were further adjusted for effects of any stroke or ischemic stroke by multivariable MR analysis.ResultsA higher genetic predisposition for AF (one standard deviation increase) was significantly associated with lower white matter volume [beta −0.128 (−0.208, −0.048)] but not grey matter volume [beta −0.041 (−0.101, 0.018)], supported by all utilized sensitivity MR analyses. The multivariable MR analysis indicated that AF is causally linked to lower white matter volume independent of the stroke effect.ConclusionsAF is a causative factor for white matter volume loss. The effect of AF on grey matter volume was inapparent in this study. A future trial is necessary to confirm whether appropriate AF management can be helpful in preventing cerebral white matter volume loss or related brain disorders in AF patients.

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