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Updated: Jan 11, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

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从复杂值 fMRI 数据中检测精神分裂症阶段变化的异常动态模式.

Yan-Wei Niu¹, Qiu-Hua Lin¹, Jia-Yang Song¹

¹School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China.

Journal of neuroscience methods

|November 13, 2025

概括

这项研究引入了一个新的框架来分析功能性MRI (fMRI) 数据中的相极性动态,揭示了精神分裂症患者的独特模式. 这些发现为精神障碍中大脑网络变化提供了新的见解.

关键词:

复杂值的fMRI数据阶段极性的动力学.极性变化模式的变化模式精神分裂症是一种精神分裂症.空间源阶段空间源阶段

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科学领域:

神经成像是一种神经成像.
功能磁共振成像 (fMRI) 是一种功能性磁共振成像技术.
大脑网络分析脑网络分析

背景情况:

只有磁力fMRI数据分析在检测精神病变化的过程中存在局限性.
来自复杂值的fMRI数据的源相极性动态为大脑网络提供了尚未探索的见解.

研究的目的:

开发和验证用于分析复杂值fMRI数据中的源相极性动态的框架.
调查精神分裂症患者和健康对照之间的动态相极性模式的群体差异.

主要方法:

使用独立组件分析 (ICA) 从移动窗口复杂值 fMRI 数据中提取动态源相图.
模拟了克尔智能的极性变化和聚类模型参数,以形成三个动态相极性模式.
利用从精神分裂症患者和健康对照组的复杂值fMRI数据进行框架测试.

主要成果:

确定了相极性变化的独特动态模式,快速变化集中在中央激活地图区域.
在患者和对照组之间观察到集群中心体和亚区域声素计数的显著群体差异.
证明了极性变化和激活大小之间的正相关性,相极性对疾病变化具有独特的敏感性.

结论:

拟议的框架揭示了精神分裂症中的异常动态阶段模式.
这些发现为心理障碍背后的神经机制提供了新的见解.
强调复杂值fMRI和相极性动态在精神病学研究中的潜力.