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Purpose: To study the relationship of size of corpus callosum with white matter changes in the elderly population.
Materials And Methods: This was a retrospective analytical cross-sectional study. The relationship between the corpus callosum and white matter changes was studied using the magnetic resonance imaging technique, where white matter changes were graded based on Fazekas grading. The Spearman rank order correlation was used to assess the relationship between the size of corpus callosum and white matter changes.
Results: The whole corpus callosum (ρ = 0.165, p = 0.044) and rostrum (ρ = -0.232, p = 0.004) was significantly correlated with white matter changes based on Fazekas severity grading. Similarly, in bivariate regression analysis, white matter changes were strongly correlated with rostrum (standardized β-coefficient = -0.186, p = 0.023). While taking gender in sub-group analysis, white matter changes were significantly correlated with rostrum (ρ = -0.252, p = 0.021) and splenium (ρ = -0.229, p = 0.036) in male and with rostrum (ρ = -0.245, p = 0.048) only in female groups.
Conclusions: Corpus callosum size is associated with white matter changes in the elderly population. This association can give insight into the neuropathology of diseases involving the central nervous system.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758332 | PMC |
http://dx.doi.org/10.1016/j.amsu.2022.104953 | DOI Listing |
Brain Res
December 2024
Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China. Electronic address:
The corpus callosum (CC) is the largest white matter fiber bundle connecting the two hemispheres, facilitating interhemispheric integration and hemispheric specialization. Neuroimaging studies have identified the CC as a marker for aging and various neuropsychiatric disorders. However, high-resolution imaging and detailed lifespan characterizations of CC morphology and connectivity remain limited.
View Article and Find Full Text PDFJ Affect Disord
December 2024
School of Health and Wellbeing, University of Glasgow, Glasgow, UK; Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Whether depression and poor sleep interact or have statistically independent associations with brain structure and its change over time is not known. Within a subset of UK Biobank participants with neuroimaging and subjective and/or objective sleep data (n = 28,351), we examined associations between lifetime depression and sleep disruption and their interaction with structural neuroimaging measures, both cross-sectionally and longitudinally. Sleep variables were: self-reported insomnia and difficulty getting up; actigraphy-derived short sleep (<7 h); sustained inactivity bouts during daytime (SIBD); and sleep efficiency.
View Article and Find Full Text PDFNeuro Oncol
December 2024
Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Background: Hippocampal avoidance during prophylactic cranial irradiation (HA-PCI) is proposed to reduce neurocognitive decline, while preserving the benefits of PCI. We evaluated whether (HA-)PCI induces changes in white matter (WM) microstructure and whether sparing the hippocampus has an impact on preserving brain network topology. Additionally, we evaluated associations between topological metrics with hippocampal volume and neuropsychological outcomes.
View Article and Find Full Text PDFBrain
December 2024
Neuroimmunology Research Group, Netherlands Institute for Neuroscience, 1105BA, Amsterdam, The Netherlands.
Multiple sclerosis (MS) is a highly heterogeneous disease with varying remyelination potential across individuals and between lesions. However, the molecular mechanisms underlying the potential to remyelinate remain poorly understood. In this study, we aimed to take advantage of the intrinsic heterogeneity in remyelinating capacity between MS donors and lesions to uncover known and novel pro-remyelinating molecules for MS therapies.
View Article and Find Full Text PDFBrain Struct Funct
December 2024
Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Aim: To describe the cortical brain development and full-IQ performance in middle school age children after extremely preterm (EPT) birth considering discrete white matter abnormalities (WMA). In addition, to assess possible early motor predictors of cortical brain development and full-IQ in children born EPT with and without discrete WMA diagnosed at 10 years.
Methods: T1-weighted MRI images from fifty-one children born before 27 weeks' gestation and 40 full-term born controls (M=10.
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