在社会焦虑障碍中被破坏的大脑灰质连接组:一种新的个性化结构共变性网络分析
Xun Zhang1,2, Han Lai3, Qingyuan Li1,2
1Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China.
Cerebral cortex (New York, N.Y. : 1991)
|June 29, 2023
概括
社会焦虑障碍 (SAD) 患者表现出大脑网络组织的改变,具有更多的随机结构共变网络 (SCN). 这些网络变化与症状严重程度有关,可以帮助分类患有SAD的个体.
科学领域:
- 神经科学是一个神经科学.
- 网络科学 网络科学
- 精神疾病 精神疾病
背景情况:
- 结构网络科学为精神疾病提供了洞察力.
- 在社会焦虑障碍 (SAD) 中的个体级神经生物学基质需要进一步澄清.
研究的目的:
- 在SAD患者中构建和分析单个主体结构共变性网络 (SCN).
- 研究全球和节点网络属性及其与临床特征的关系.
- 评估图形理论指标对SAD的区分能力.
主要方法:
- 利用概率密度估计和库尔巴克-莱布勒分歧来创建单个主题的SCN.
- 采用多变量形态测量 (皮层厚度,表面积,曲率,体积).
- 应用图形理论分析和支持矢量机 (SVM) 分类.
主要成果:
- 患有SAD的患者表现出更高的全球效率,更短的特征路径长度和更强大的小世界性.
- 在特定的大脑区域观察到异常的节点中心性,包括杏仁体.
- 基于图表的指标在将SAD患者与健康对照组 (HC) 分类时实现了78.7%的准确性.
结论:
- 在SAD患者中,SCN的拓组织被改变为更随机的配置.
- 这些发现增强了对SAD网络层次神经病理学的理解.
- 图形理论指标显示了个人级别SAD诊断的潜力.
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