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

26.1 GRAY AND WHITE MATTER VOLUME ALTERATIONS IN YOUTH OFFSPRING OF PARENTS WITH BIPOLAR DISORDER

2016 ◽  
Vol 55 (10) ◽  
pp. S298
Author(s):  
Melissa P. DelBello ◽  
Fabiano Nery ◽  
Wade Weber ◽  
Thomas J. Blom ◽  
Jeffrey A. Welge ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
White Matter ◽  
White Matter Volume ◽  
Matter Volume

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.

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 White matter volume in alcohol use disorders: a meta-analysis

2012 ◽  
Vol 18 (3) ◽  
pp. 581-592 ◽  
Author(s):  
Mollie A. Monnig ◽  
J. Scott Tonigan ◽  
Ronald A. Yeo ◽  
Robert J. Thoma ◽  
Barbara S. McCrady
Keyword(s):  
White Matter ◽  
Alcohol Use ◽  
Meta Analysis ◽  
Alcohol Use Disorders ◽  
White Matter Volume ◽  
Matter Volume

scholarly journals White matter volume is decreased in bipolar disorder at early and late stages

2018 ◽  
Vol 40 (4) ◽  
pp. 277-284 ◽  
Author(s):  
Juliana A. Duarte ◽  
Raffael Massuda ◽  
Pedro D. Goi ◽  
Mireia Vianna-Sulzbach ◽  
Rafael Colombo ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
White Matter ◽  
Late Stage ◽  
Early Stage ◽  
Type I ◽  
White Matter Volume ◽  
Matter Volume ◽  
Early Biomarkers ◽  
Late Stages ◽  
Mood Condition

Abstract Introduction: Bipolar disorder (BD) is a debilitating mood condition that affects approximately 1.3% of people worldwide, although some studies report up to 3.9% lifetime prevalence and 4-6% in adults when broad diagnostic criteria are applied. Objective: To compare differences in total white matter (WM), corpus callosum (CC) and total gray matter (GM) volumes in patients with type I BD at early and late stages compared with controls. Methods: Fifty-five subjects were enrolled in this study protocol. The double case-control design included 14 patients with BD at early stage; 15 patients at late stage; and their respective matched controls (14 and 12 subjects). Results: CC and total WM volumes were significantly smaller in patients with BD at early and late stages vs. controls. There was no difference for total GM volume in the early stage group, but in patients at late stage total GM volume was significantly smaller than in controls. The total GM volume reduction in patients at late stage is in agreement with the neuroprogression theory of BD. The reduction of WM volumes in total WM and in the CC at early and late stages supports the possibility that an early demyelination process could occur underlying the clinical manifestation of BD. Conclusion: Our findings may direct to the investigation of WM abnormalities in populations at high risk to develop BD, perhaps as early biomarkers before the overt syndrome.

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