解剖功能网络连接的异质性 抗精神病药物-先天第一期精神病患者的功能网络连接偏差 - - 一项规范建模研究
medRxiv : the preprint server for health sciences
|September 4, 2024
概括
在第一发精神病的休息状态功能网络病理学非常异构. 规范性建模可以识别生物学上不同的患者子组,推进精确精神病学.
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.
- 系统神经科学 系统神经科学
背景情况:
- 功能连接组病理学与精神病谱系障碍有关,但由于高度异质性,小组级发现缺乏个体患者的相关性.
- 将群体级发现转化为临床实践受到不一致性和无法准确反映个体病理学的阻碍.
研究的目的:
- 在第一个情节精神病 (FEP) 中,在功能性大脑网络中表征个体间的异质性.
- 调查规范性功能连接值在识别生物学上同质的患者子组的有用性.
主要方法:
- 利用了108名先前未服用抗精神病药物的FEP患者的静止状态功能磁共振成像 (rs-fMRI) 数据.
- 分析了使用Yeo-17地图集在功能网络连接中的规范参考范围的个人水平偏差.
- 根据已识别的偏差配置文件进行了后期小组分析.
主要成果:
- 从规范范围的静止状态网络连接偏差中观察到显著的个人间异质性.
- 发现48%的患者没有表现出功能连接性偏差,最多11.1%的患者在同一区域共享偏差.
- 根据偏差概况确定了四个不同的小组,这些小组的异质性明显低于整体患者组.
结论:
- 个人层面的分析揭示了FEP功能网络病理学的实质性异质性,挑战了群体层面发现的直接适用性.
- 规范性功能连接模型可以有效地识别临床异质FEP群体内的生物学上不同的子组.
- 这些发现代表了对精确精神病学的重大进步,因为它允许基于个体神经生物学特征的患者分层.
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