空间动态的减弱和不适应的空间复杂性将休息大脑网络的破坏与精神分裂症的认知联系起来
bioRxiv : the preprint server for biology
|January 23, 2026
概括
精神分裂症患者表现出无组织的大脑网络,空间复杂性和适应性降低. 这种动态空间网络复杂性和连接性 (dSNCC) 缺陷与认知障碍有关,并为大脑疾病提供了潜在的生物标志物.
科学领域:
- 神经科学是一个神经科学.
- 复杂系统科学 复杂系统科学
- 认知神经科学 认知神经科学
背景情况:
- 休息状态fMRI研究强调动态的大脑网络.
- 现有的方法往往侧重于时间连接,而不是空间动态.
- 了解voxel级空间复杂性及其时间变化至关重要.
研究的目的:
- 为分析大脑网络动态引入动态空间网络复杂性和连接性 (dSNCC).
- 研究大脑网络中的空间复杂性和灵活性.
- 在健康对照组和精神分裂症患者中检查dSNCC及其与认知功能的关联.
主要方法:
- 使用动态独立组件分析 (ICA) 和碎形维度 (FrD).
- 测量了空间复杂性 (FrD),动态灵活性和碎形维度合 (FrDC).
- 分析了508名受试者的数据 (315名健康对照,193名精神分裂症患者).
主要成果:
- 精神分裂症患者的平均FRD高,表明网络结构混乱.
- 患者表现出显著减少的动态灵活性,网络看起来不那么适应.
- dSNCC测量与处理速度,视觉和口头学习中的认知障碍相关.
- 在精神分裂症患者中观察到异常的碎形维度合 (FrDC).
结论:
- dSNCC是描述大脑网络动态的一个强大工具.
- 空间复杂性的动态灵活性降低可能是精神分裂症适应不良的一个机制.
- dSNCC为精神分裂症,阿尔茨海默氏症和自闭症等脑部疾病提供了一个新的,可量化的生物标志物框架.
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