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人类大脑状态的动态反映了个体的神经现象型
Kangjoo Lee1, Jie Lisa Ji1, Clara Fonteneau1
1Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
bioRxiv : the preprint server for biology
|October 4, 2023
概括
个人的大脑活动 (状态) 和特征显示日复一日的变化. 这些神经变异与行为有关,揭示了理解个人差异和结果的可重现模式.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 心理学 心理学 心理学
背景情况:
- 神经活动和行为的个体差异被认为是状态 (在个体内) 和特征 (在个体之间).
- 这些状态特征神经变异和行为表型之间的关系仍然不完全理解.
- 休息状态功能磁共振成像 (rs-fMRI) 为内在大脑功能提供了一个窗口.
研究的目的:
- 使用rs-fMRI量化大脑全局协同激活模式的瞬间变化.
- 在个人层面上识别这些模式的可重现的时空特征.
- 研究状态特征神经变异与行为差异之间的联系.
主要方法:
- 休息状态功能磁共振成像 (rs-fMRI) 数据的分析.
- 量化大脑范围内的协同激活模式及其动态变化.
- 用特征减小技术来识别关键的神经变异.
- 神经变异和行为表型之间的相关性分析.
主要成果:
- 同激活模式的可重现的时空特征在单个受试者层面上被确定.
- 一项联合分析揭示了个体差异的一般动机,包括每天变化的特定状态和一般神经特征.
- 主要的神经变异与与认知功能,情绪调节和物质使用有关的行为表型有显著的共同变化.
- 占据特定协同激活模式的个体特异概率是可重现的,并与神经和行为特征相关.
结论:
- 该研究成功量化了rs-fMRI的动态,状态特征神经变异.
- 这些神经变异与个体行为差异有关,包括认知和情绪调节.
- 这种方法有望开发可重现的神经成像标记器,用于预测个体功能结果.
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