在严重抑郁症中抑制和转移的结构共变网络
Xiqin Liu1,2,3, Yuanyuan Li1,2,3, 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, No. 37 Guoxue Alley, Wuhou District, Chengdu 610041, China.
Cerebral cortex (New York, N.Y. : 1991)
|December 1, 2025
概括
大型抑郁症 (MDD) 影响执行功能,如抑制和转移. 个性化大脑网络分析揭示了与患者这些认知变化相关的特定大脑区域,可能有助于生物标志物发现.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 计算生物学 计算生物学
背景情况:
- 执行功能缺陷,特别是在抑制和认知灵活性方面,是主要抑郁症 (MDD) 的标志.
- 这些障碍的显著个体间变异性使得在MDD中寻找可靠的基于大脑的生物标志物变得复杂.
- 没有使用过第一期药物 (FEDN) 的MDD患者代表了理解早期神经变化的关键人群.
研究的目的:
- 调查与FEDN MDD患者的抑制和转移能力相关的大脑结构的个体差异.
- 利用个性化结构共变网络 (SCN) 作为一种新的方法来表征大脑差异.
- 确定MDD中执行功能障碍的潜在基于大脑的生物标志物.
主要方法:
- 通过使用大脑图谱,为283名MDD患者和81名健康对照者 (HCs) 构建了个性化的SCN.
- 采用基于区域灰质体积的概率密度估计和库尔巴克-莱布勒分歧来构建SCN.
- 估计SCN的全球和节点拓特性,以评估大脑网络组织.
主要成果:
- 抑制转移能力与MDD患者和HC患者的全球和本地效率和小世界性相关.
- 在MDD患者中,特定的额头部,部和胸膜区域的中心性测量与不同程度的抑制转移性能有关.
- 在HC中没有发现抑制转移和节点中心性之间的显著关联,突出了特定组的神经相关性.
结论:
- 个性化的SCN揭示了与FEDN MDD中执行功能相关的大脑网络组织的独特模式.
- 胸膜-皮带区域可能在对影响MDD抑制转移的前时网络变化的反应中发挥补偿作用.
- 这种方法有望用于识别主要抑郁症中执行功能缺陷的特定生物标志物.
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