Literature DB >> 32268244

Structural changes in the lobar regions of brain in cerebral small-vessel disease patients with and without cognitive impairment: An MRI-based study with automated brain volumetry.

Chengxia Liu1, Lei Zhao2, Shiqi Yang3, Yishan Luo2, Wenhao Zhu4, Wenzhen Zhu5, Lin Shi6.   

Abstract

PURPOSE: This study aims to investigate the alterations of brain volumetry and associated structural covariance at lobar level in cerebral small-vessel disease (CSVD) with and without cognitive impairment.
METHOD: Twenty-seven CSVD patients with mild cognitive impairment (CSVD-MCI), 37 CSVD patients with normal cognition (CSVD-NC), and 35 controls, underwent T1-weighted imaging of magnetic resonance. Volume of gray matter (GM) and white matter (WM) and a lobar atrophy index that measures the ratio of cerebrospinal fluid to brain parenchyma were quantified for each lobe. One-way ANOVA with multiple comparison corrections was performed to compare these volumetric measures. Volumetric structural covariance analyses were performed with lobar atrophy indexes to investigate the alterations of anatomical covariance within each pair of lobar regions in CSVD-NC and CSVD-MCI subjects compared with controls.
RESULTS: CSVD-NC subjects presented no significant volumetric differences with controls in any of the lobar regions. Compared with controls, CSVD-MCI patients presented significantly smaller volume of GM in bilateral frontal and parietal lobes, significantly smaller volume of WM in right cingulate lobe, and significantly larger lobar atrophy indexes of bilateral temporal, insular lobes and left cingulate lobe (P < 0.05). Both CSVD-NC group and CSVD-MCI group showed significant differences of structural covariance as measured by lobar atrophy index compared with controls. In particular, CSVD-MCI group showed even more extensive alterations of structural covariance, especially in bilateral cingulate and temporal lobes.
CONCLUSIONS: There are alterations of brain volumetry and associated structural covariance within lobar regions in CSVD, which indicates the potential brain structural reorganization in CSVD.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Atrophy; Brain; Cerebral small-vessel disease; Magnetic resonance imaging; Structural covariance

Year:  2020        PMID: 32268244     DOI: 10.1016/j.ejrad.2020.108967

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  6 in total

1.  Application Value of Serum Hcy, TLR4, and CRP in the Diagnosis of Cerebral Small Vessel Disease.

Authors:  Peng Qu; Kaili Cheng; Qi Gao; Yan Li; Minghua Wang
Journal:  Evid Based Complement Alternat Med       Date:  2022-04-23       Impact factor: 2.650

2.  Automated brain volumetric measures with AccuBrain: version comparison in accuracy, reproducibility and application for diagnosis.

Authors:  Lei Zhao; Yishan Luo; Vincent Mok; Lin Shi
Journal:  BMC Med Imaging       Date:  2022-07-04       Impact factor: 2.795

3.  Cortical and Subcortical Grey Matter Abnormalities in White Matter Hyperintensities and Subsequent Cognitive Impairment.

Authors:  Wenhao Zhu; Hao Huang; Shiqi Yang; Xiang Luo; Wenzhen Zhu; Shabei Xu; Qi Meng; Chengchao Zuo; Yong Liu; Wei Wang
Journal:  Neurosci Bull       Date:  2021-04-07       Impact factor: 5.203

4.  Altered Brain Morphometry in Cerebral Small Vessel Disease With Cerebral Microbleeds: An Investigation Combining Univariate and Multivariate Pattern Analyses.

Authors:  Jing Li; Hongwei Wen; Shengpei Wang; Yena Che; Nan Zhang; Lingfei Guo
Journal:  Front Neurol       Date:  2022-02-23       Impact factor: 4.003

Review 5.  Research progress on cognitive impairment and the expression of serum inflammatory markers in patients with white matter hyperintensities: a narrative review.

Authors:  Shanshan Qiao; Haitao Li; Fang Guo; Guilan Cai; Yongbo Zhang
Journal:  Ann Transl Med       Date:  2022-04

6.  Percentage amplitude of fluctuation and structural covariance changes of subjective cognitive decline in patients: A multimodal imaging study.

Authors:  Ke Xu; Yichen Wei; Shuming Zhang; Lihua Zhao; Bowen Geng; Wei Mai; Pengyu Li; Lingyan Liang; Duoli Chen; Xiao Zeng; Demao Deng; Peng Liu
Journal:  Front Neurosci       Date:  2022-07-22       Impact factor: 5.152

  6 in total

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