灰质结构变化对多发性硬化症临床残疾的影响:基于体素和表面的分析。

IF 3.1 4区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Hongping Chen, Weihua Zhang, Yuchao Ma, Jiayun Ren, Di Zhong
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引用次数: 0

摘要

本研究采用基于体素和基于表面的形态学分析MS患者灰质结构的变化及其与临床量表的相关性。对30例符合纳入标准的MS患者和30例健康对照(hc)的结构磁共振成像资料进行分析。临床残疾评估采用扩展残疾状态量表(EDSS)和定时25英尺步行测试(T25FW)。采用简易精神状态检查(MMSE)和蒙特利尔认知评估(MoCA)评估认知功能。通过汉密尔顿焦虑量表(HAMA)和汉密尔顿抑郁量表(HAMD)测量精神症状。同时收集MS组和健康对照组的影像学数据,SPM12和CAT12对图像进行分析。在控制了年龄和性别后,采用基于体素和表面的形态学来研究组间差异。最后,将差异数据与临床量表进行相关性分析。与HC组相比,MS组灰质体积减少主要集中在深部灰质,少部分位于皮质灰质(fwe校正p值)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Gray Matter Structural Changes on Clinical Disability in Multiple Sclerosis: Voxel-and Surface-Based Analyses.

This study used voxel- and surface-based morphometry to analyze the changes in gray matter structure in MS patients and their correlation with clinical scales. An analysis was conducted on the structural magnetic resonance imaging data of 30 patients with MS who met the inclusion criteria and 30 healthy controls (HCs). Clinical disability was evaluated using the Expanded Disability Status Scale (EDSS) and the timed 25-foot walk test (T25FW). Cognitive function was assessed with the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Psychiatric symptoms were measured via the Hamilton Anxiety Scale (HAMA) and Hamilton Depression Scale (HAMD). Imaging data were also collected from the MS and healthy control groups, and SPM12 and CAT12 analyzed the images. After controlling for age and gender, voxel- and surface-based morphometry were used to study inter-group differences. Finally, the discrepancy data were correlated with the clinical scales. Compared to the HC group, the gray matter volume reduction in the MS group was mainly concentrated in the deep gray matter, with a small portion located in the cortical gray matter (FWE-corrected p-value < 0.05). Cortical thickness was significantly reduced in multiple dispersed regions of the brain bilaterally in the MS group compared to hc (FWE-corrected p-value < 0.05), and there was no obvious anatomical connection between these regions. Correlation analyses revealed: A negative correlation between caudate nucleus volume and EDSS scores (R = -0.415, p = 0.031); a positive correlation between the right parahippocampal gyrus and HAMA scores (R = 0.392, p = 0.039); a positive correlations of the right postcentral gyrus with both MMSE (R = 0.433, p = 0.021) and MoCA scores (R = 0.431, p = 0.022); a positive correlation between the left paracentral lobule and MoCA scores (R = 0.389, p = 0.041). A pattern of multiple gray matter structural changes was identified in our study, and a clinical correlation between structural changes was found. Grey matter volume and cortical thickness hold substantial promise as markers of disease progression and have the potential to respond to neuroprotective treatments for MS neurodegeneration.

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来源期刊
Neuroinformatics
Neuroinformatics 医学-计算机:跨学科应用
CiteScore
6.00
自引率
6.70%
发文量
54
审稿时长
3 months
期刊介绍: Neuroinformatics publishes original articles and reviews with an emphasis on data structure and software tools related to analysis, modeling, integration, and sharing in all areas of neuroscience research. The editors particularly invite contributions on: (1) Theory and methodology, including discussions on ontologies, modeling approaches, database design, and meta-analyses; (2) Descriptions of developed databases and software tools, and of the methods for their distribution; (3) Relevant experimental results, such as reports accompanie by the release of massive data sets; (4) Computational simulations of models integrating and organizing complex data; and (5) Neuroengineering approaches, including hardware, robotics, and information theory studies.
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