Altered Topological Properties of Grey Matter Structural Covariance Networks in Complete Thoracic Spinal Cord Injury Patients: A Graph Theoretical Network Analysis.

IF 3.1 4区 医学 Q2 Medicine Neural Plasticity Pub Date : 2021-02-01 eCollection Date: 2021-01-01 DOI:10.1155/2021/8815144
Wen-Li Wang, Yu-Lin Li, Mou-Xiong Zheng, Xu-Yun Hua, Jia-Jia Wu, Fei-Fei Yang, Nan Yang, Xia He, Li-Juan Ao, Jian-Guang Xu
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引用次数: 6

Abstract

Purpose: This study is aimed at investigating brain structural changes and structural network properties in complete spinal cord injury (SCI) patients, as well as their relationship with clinical variables.

Materials and methods: Structural MRI of brain was acquired in 24 complete thoracic SCI patients (38.50 ± 11.19 years, 22 males) within the first postinjury year, while 26 age- and gender-matched healthy participants (38.38 ± 10.63 years, 24 males) were enrolled as control. The voxel-based morphometry (VBM) approach and graph theoretical network analysis based on cross-subject grey matter volume- (GMV-) based structural covariance networks (SCNs) were conducted to investigate the impact of SCI on brain structure. Partial correlation analysis was performed to explore the relationship between the GMV of structurally changed brain regions and SCI patients' clinical variables, including injury duration, injury level, Visual Analog Scale (VAS), American Spinal Injury Association Impairment Scale (AIS), International Classification of Functioning, Disability and Health (ICF) scale, Self-rating Depression Scale (SDS), and Self-rating Anxiety Scale (SAS), after removing the effects of age and gender.

Results: Compared with healthy controls, SCI patients showed higher SDS score (t = 4.392 and p < 0.001). In the VBM analysis, significant GMV reduction was found in the left middle frontal cortex, right superior orbital frontal cortex (OFC), and left inferior OFC. No significant difference was found in global network properties between SCI patients and healthy controls. In the regional network properties, significantly higher betweenness centrality (BC) was noted in the right anterior cingulum cortex (ACC) and left inferior OFC and higher nodal degree and efficiency in bilateral middle OFCs, while decreased BC was noted in the right putamen in SCI patients. Only negative correlation was found between GMV of right middle OFC and SDS score in SCI patients (r = -0.503 and p = 0.017), while no significant correlation between other abnormal brain regions and any of the clinical variables (all p > 0.05).

Conclusions: SCI patients would experience depressive and/or anxious feelings at the early stage. Their GMV reduction mainly involved psychology-cognition related rather than sensorimotor brain regions. The efficiency of regional information transmission in psychology-cognition regions increased. Greater GMV reduction in psychology region was related with more severe depressive feelings. Therefore, early neuropsychological intervention is suggested to prevent psychological and cognitive dysfunction as well as irreversible brain structure damage.

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完全胸椎脊髓损伤患者灰质结构协方差网络拓扑特性的改变:图理论网络分析。
目的:本研究旨在探讨完全性脊髓损伤(SCI)患者脑结构变化、结构网络特性及其与临床变量的关系。材料与方法:对24例完全性胸椎脊髓损伤患者(38.50±11.19岁,男性22例)损伤后第一年内进行脑结构MRI检查,同时选取26例年龄和性别匹配的健康受试者(38.38±10.63岁,男性24例)作为对照组。采用基于体素的形态测量(VBM)方法和基于跨学科灰质体积(GMV)的结构协方差网络(SCNs)的图论网络分析来研究脊髓损伤对脑结构的影响。采用偏相关分析,探讨脑结构改变区GMV与损伤持续时间、损伤程度、视觉模拟量表(VAS)、美国脊髓损伤协会损伤量表(AIS)、国际功能、残疾与健康分类量表(ICF)、抑郁自评量表(SDS)、焦虑自评量表(SAS)等临床变量在剔除年龄和性别影响后的关系。结果:与健康对照组相比,脊髓损伤患者SDS评分较高(t = 4.392, p < 0.001)。在VBM分析中,发现左侧额叶中皮质、右侧眶额上皮质和左侧眶额下皮质GMV明显减少。脊髓损伤患者与健康对照组的全局网络特性无显著差异。在区域网络特性上,右侧前扣带皮质(ACC)和左侧下OFC的中间中心性(between - centrality, BC)显著提高,双侧中OFC的节度和效率显著提高,而脊髓损伤患者右侧壳核的BC显著降低。脊髓损伤患者仅右中OFC GMV与SDS评分呈负相关(r = -0.503, p = 0.017),其他异常脑区与临床变量均无显著相关性(p > 0.05)。结论:脊髓损伤患者在早期会有抑郁和/或焦虑的感觉。他们的GMV减少主要涉及与心理认知相关的脑区,而不是感觉运动脑区。心理认知区域信息传递效率提高。心理区GMV降低越大,抑郁情绪越严重。因此,建议早期进行神经心理干预,以预防心理和认知功能障碍以及不可逆的脑结构损伤。
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来源期刊
Neural Plasticity
Neural Plasticity Neuroscience-Neurology
CiteScore
5.70
自引率
0.00%
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0
审稿时长
1 months
期刊介绍: Neural Plasticity is an international, interdisciplinary journal dedicated to the publication of articles related to all aspects of neural plasticity, with special emphasis on its functional significance as reflected in behavior and in psychopathology. Neural Plasticity publishes research and review articles from the entire range of relevant disciplines, including basic neuroscience, behavioral neuroscience, cognitive neuroscience, biological psychology, and biological psychiatry.
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