精神病临床高风险人群中的结构共变网络拓:ENIGMA-CHR研究

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Siwei Liu^1,2, Ingrid Agartz^3,4,5,6, Paul Allen^7,8

¹Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

Molecular psychiatry

|October 22, 2025

概括

大脑网络的差异与精神病风险有关. 患有精神病的临床高风险 (CHR) 个体表现出大脑结构的改变,与症状严重程度和过渡到精神病相关的特定网络模式.

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.
神经成像是一种神经成像.

背景情况:

患有精神病的临床高风险 (CHR) 个体通常会经历微妙的脑部变化.
了解大脑网络架构对于预测灰质损失和精神病发病至关重要.
之前对CHR大脑网络的研究受到小样本大小的限制.

研究的目的:

研究CHR个体和健康对照 (HC) 之间的大脑结构网络拓学的差异.
为了比较过渡到精神病 (CHR-T) 和不过渡到精神病 (CHR-NT) 的CHR个体之间的网络特性.
探索网络独特性,临床症状和精神病过渡风险之间的关系.

主要方法:

利用了来自ENIGMA联盟的1842名CHR和1417名HC个体的结构性MRI数据.
分析了全球网络拓,包括结构共变性,全球效率和聚类系数.
检查了面积和皮层厚度的前额和部区域的网络特征.

主要成果:

与HC相比,CHR个体表现出较低的结构共变率和不太理想的网络配置.
与CHR-NT和HC相比,CHR-T个体在额头/面积网络中表现出更高的网络区别性,但在额头皮质厚度网络中表现较低.
网络特异性增加与症状严重程度相关 (CHR-NT中的积极症状,CHR-T中的负面症状),短暂间歇性精神病综合征亚组显示出更明显的变化.

结论:

大脑结构网络拓在CHR个体和HC之间有所不同,表明大脑组织发生了变化.
在CHR个体中,特定的网络特异性模式与精神病过渡和症状概况有关.
这些发现凸显了基于神经成像的网络分析在理解精神病风险和进展方面的潜力.

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