在早期发生的精神分裂症中,跨大脑功能网络的时空信息过渡异常
Yun-Shuang Fan1, Maowei Ye1, Yuting Xu1
1The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Lab for Neuroinformation, Brain-Computer Interface & Brain-Inspired Intelligence Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.
Schizophrenia research
|November 18, 2025
概括
早期精神分裂症 (EOS) 破坏大脑信息流动,特别是在注意力和默认模式网络中. 这项研究揭示了改变的时空动态,为精神分裂症提供了新的见解.
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:
- 精神分裂症是一种神经发育障碍,信息流动动力学不清楚.
- 时间大脑动力学受到干扰,但空间-时间方面的理解仍然很差.
研究的目的:
- 研究早期精神分裂症 (EOS) 的时空信息流.
- 用一个新的计算框架来分析大脑网络过渡.
主要方法:
- 收集了86名EOS患者和91名对照组的休息状态fMRI数据.
- 将一个非同质的马尔科夫模型 (NHMM) 应用于动态功能连接.
- 使用过渡概率,静止概率向量和最佳可达步骤建模信息流.
主要成果:
- EOS患者在腹部注意力 (VAN),背部注意力 (DAN) 和默认模式网络 (DMN) 中表现出改变的静止过渡概率.
- 患者表现出最佳可达步骤的增加,特别是在VAN-DMN相互作用中.
- 在早期精神分裂症中揭示了涉及VAN和DMN的时空信息过渡异常.
结论:
- 在神经发育障碍中,NHMM分析为量化时空大脑动态提供了一个新的框架.
- 研究结果提供了对精神分裂症发育病理生理学的见解,突出了网络特异性的变化.
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