Improvements in in vivo imaging methods have boosted research on brain asymmetry aimed at further establishing putative anatomical substrates for brain functional lateralization and particularly to explain left-hemisphere specialization for language. We analyzed volume asymmetries for major anatomical divisions of the lateral (perisylvian) brain region and their relative white matter content. A total of 100 healthy right-handed subjects were examined with 3D magnetic resonance imaging (MRI). The insular plane was used to limit the lateral brain, and the sylvian fissure and central sulcus to define frontal, parietal, temporal, and temporo-parieto-occipital regions. Results revealed a frontal region showing similar volumes in both hemispheres, a parietal region and a temporal region both larger in the left hemisphere, and a temporo-parieto-occipital region with predominantly right-sided asymmetry. Volume measurements of the parietal, temporal, and temporo-parieto-occipital regions complemented each other and accounted for 58% of planum temporale area variations. All study regions showed significant asymmetry for relative white matter content (percentage of white matter relative to region volume). White matter asymmetry, however, was particularly relevant for the frontal and temporal regions showing a highly frequent left-sided pattern (frontal region, 90%; temporal region, 91% of subjects). Leftward asymmetry in these two regions occurred in both genders, although hemisphere differences were significantly larger in men. Results from this MRI volume analysis of structural asymmetries in the lateral brain region complement data obtained by other methods and suggest a high occurrence of leftward asymmetry for relative white matter content in language-related regions.
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Front Neurosci
January 2025
Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
[This corrects the article DOI: 10.3389/fnins.2024.
View Article and Find Full Text PDFPol J Radiol
December 2024
First Hospital of Shanxi Medical University, Shanxi, China.
Purpose: Isocitrate dehydrogenase (IDH) mutation status serves as a crucial prognostic indicator for glioma, typically assessed via immunohistochemical analysis post-surgery. Given the invasiveness of this approach, perhaps we can utilise convenient and noninvasive magnetic resonance imaging (MRI) methods to predict IDH mutation status. However, the current landscape lacks a standardised MRI technique for accurately predicting IDH mutations.
View Article and Find Full Text PDFJ Psychiatry Neurosci
January 2025
From the Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Qiao, Zhao, Cong, Y. Li, Tian, Yang, Cao, Su); the School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China (Zhu); the Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China (P. Li).
Background: White matter damage is closely associated with cognitive and psychiatric symptoms and is prevalent in cerebral small vessel disease (CSVD); although the pathophysiological mechanisms involved in CSVD remain elusive, inflammation plays a crucial role. We sought to investigate the relationship between systemic inflammation markers and imaging markers of CVSD, namely white matter hyperintensity (WMH) and microstructural injury.
Methods: We conducted a study involving both cross-sectional and longitudinal data from the UK Biobank Cohort.
J Clin Neurosci
January 2025
Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, China. Electronic address:
Objectives: This study investigated the correlation between retinal vasculature and cerebral small vessel disease (CSVD) imaging markers, providing new evidence for the retina-brain association.
Methods: Two hundred and thirty-nine participants aged 55-85 were enrolled in the study. CSVD indicators, encompassing white matter hyperintensities (WMHs), lacunes (LAs), cerebral microbleeds (CMBs), and enlarged perivascular spaces (EPVSs), were assessed.
Ann Am Thorac Soc
January 2025
University of California San Francisco, Department of Epidemiology and Biostatistics, San Francisco, California, United States.
Rationale: Globally, in 2019, chronic obstructive pulmonary disease (COPD) was the third leading cause of death. While tobacco smoking is the predominant risk factor, the role of long-term air pollution exposure in increasing risk of COPD remains unclear. Moreover, there are few studies that have been conducted in racial and ethnic minoritized and socioeconomically diverse populations, while accounting for smoking history and other known risk factors.
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