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 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 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.

scholarly journals Age-specific adult rat brain MRI templates and tissue probability maps

2021 ◽  
Author(s):  
Eilidh MacNicol ◽  
Paul Wright ◽  
Eugene Kim ◽  
Irene Brusini ◽  
Oscar Esteban ◽  
...  
Keyword(s):  
White Matter ◽  
Rat Brain ◽  
Grey Matter ◽  
Brain Volume ◽  
Grey Matter Volume ◽  
Total Brain Volume ◽  
Adult Rat ◽  
Matter Volume ◽  
Probability Maps ◽  
Total Brain

Age-specific resources mitigate biases in human MRI processing arising from structural changes across the lifespan. There are fewer age-specific resources for preclinical imaging, and they only represent developmental periods rather than adulthood. Since rats recapitulate many facets of human aging, it was hypothesized that brain volume and each tissue’s relative contribution to total brain volume would change with age in the adult rat. However, the currently available tissue probability maps, which provide a priori information for tissue volume estimation, provide inaccurate grey matter probabilities in subcortical structures, particularly the thalamus. Consequently, age-specific templates and tissue probability maps were generated from a longitudinal study that scanned a cohort of rats at 3, 5, 11, and 17 months old. Mixed-effects models assessed the effect of age on brain, grey matter, white matter, and CSF volumes, and the relative tissue proportions. Grey and white matter volume increased with age, and the tissue proportions relative to total brain volume varied throughout adulthood. Furthermore, we present evidence of a systematic underestimation of thalamic grey matter volume with existing resources, which is mitigated with the use of age-specific tissue probability maps since the derived estimates better matched histological evidence. To reduce age-related biases in image pre-processing, a set of rat brain resources from across the adult lifespan is consequently released to expand the preclinical MRI community’s fundamental resources.

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 Relationship between Prolactin Plasma Levels and White Matter Volume in Women with Multiple Sclerosis

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
L. De Giglio ◽  
F. Marinelli ◽  
L. Prosperini ◽  
G. M. Contessa ◽  
F. Gurreri ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Plasma Levels ◽  
Tissue Injury ◽  
Positive Association ◽  
Grey Matter Volume ◽  
White Matter Volume ◽  
Gadolinium Enhancement ◽  
Matter Volume

Background. The role of prolactin (PRL) on tissue injury and repair mechanisms in multiple sclerosis (MS) remains unclear. The aim of this work was to investigate the relationship between PRL plasma levels and brain damage as measured by magnetic resonance imaging (MRI).Methods. We employed a chemiluminescence immunoassay for measuring plasma levels of PRL. We used a 1.5 T scanner to acquire images and Jim 4.0 and SIENAX software to analyse them.Results. We included 106 women with relapsing remitting (RR) MS and stable disease in the last two months. There was no difference in PRL plasma levels between patients with and without gadolinium enhancement on MRI. PRL plasma levels correlated with white matter volume (WMV) (rho = 0.284,p=0.014) but not with grey matter volume (GMV). Moreover, PRL levels predicted changes in WMV (Beta: 984,p=0.034).Conclusions. Our data of a positive association between PRL serum levels and WMV support the role of PRL in promoting myelin repair as documented in animal models of demyelination. The lack of an increase of PRL in the presence of gadolinium enhancement, contrasts with the view considering this hormone as an immune-stimulating and detrimental factor in the inflammatory process associated with MS.

Alterations in white matter volume and its correlation with neuropsychological scales in patients with Alzheimer’s disease: a DARTEL-based voxel-based morphometry study

2016 ◽  
Vol 58 (2) ◽  
pp. 204-210 ◽  
Author(s):  
Chung-Man Moon ◽  
Il-Seon Shin ◽  
Gwang-Woo Jeong
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
Parahippocampal Gyrus ◽  
Cerebral Peduncle ◽  
Healthy Controls ◽  
Voxel Based Morphometry ◽  
White Matter Volume ◽  
Posterior Limb ◽  
Matter Volume

Background Non-invasive imaging markers can be used to diagnose Alzheimer’s disease (AD) in its early stages, but an optimized quantification analysis to measure the brain integrity has been less studied. Purpose To evaluate white matter volume change and its correlation with neuropsychological scales in patients with AD using a diffeomorphic anatomical registration through exponentiated lie algebra (DARTEL)-based voxel-based morphometry (VBM). Material and Methods The 21 participants comprised 11 patients with AD and 10 age-matched healthy controls. High-resolution magnetic resonance imaging (MRI) data were processed by VBM analysis based on DARTEL algorithm. Results The patients showed significant white matter volume reductions in the posterior limb of the internal capsule, cerebral peduncle of the midbrain, and parahippocampal gyrus compared to healthy controls. In correlation analysis, the parahippocampal volume was positively correlated with the Korean-mini mental state examination score in AD. Conclusion This study provides an evidence for localized white matter volume deficits in conjunction with cognitive dysfunction in AD. These findings would be helpful to understand the neuroanatomical mechanisms in AD and to robust the diagnostic accuracy for AD.

scholarly journals Late chronotype is linked to greater cortical thickness in the left fusiform and entorhinal gyri

2021 ◽  
Author(s):  
Michal Rafal Zareba ◽  
Magdalena Fafrowicz ◽  
Tadeusz Marek ◽  
Ewa Beldzik ◽  
Halszka Oginska ◽  
...  
Keyword(s):  
White Matter ◽  
Cortical Thickness ◽  
Grey Matter ◽  
Brain Regions ◽  
Affective Processing ◽  
Grey Matter Volume ◽  
Imaging Data ◽  
White Matter Volume ◽  
Matter Volume ◽  
Anatomical Basis

Abstract Humans can be classified as early, intermediate and late chronotypes based on the preferred sleep and wakefulness patterns. The anatomical basis of these distinctions remains largely unexplored. Using magnetic resonance imaging data from 113 healthy young adults (71 females), we aimed to replicate cortical thickness and grey matter volume chronotype differences reported earlier in the literature using a greater sample size, as well as to explore the volumetric white matter variation linked to contrasting circadian phenotypes. Instead of comparing the chronotypes, we correlated the individual chronotype scores with their morphometric brain measures. The results revealed one cluster in the left fusiform and entorhinal gyri showing increased cortical thickness with increasing preference for eveningness, potentially providing an anatomical substrate for chronotype-sensitive affective processing. No significant results were found for grey and white matter volume. We failed to replicate cortical thickness and volumetric grey matter distinctions in the brain regions reported in the literature. Furthermore, we found no association between white matter volume and chronotype. Thus, while this study confirms that circadian preference is associated with specific structural substrates, it adds to the growing concerns that reliable and replicable neuroimaging research requires datasets much larger than those commonly used.

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