自发的大脑区域动力学有助于概括的大脑行为关联
Xiaohan Tian1, Yingjie Peng2, Shu Liu3
1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Nature human behaviour
|October 31, 2025
概括
研究人员从自发的大脑活动中发现了个体特定的大脑活动模式或"条形码". 这些条形码将大脑动态与不同年龄组的物质使用和认知能力联系起来.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 精神病学是一个精神病学.
背景情况:
- 自发的大脑活动对于理解个体差异至关重要.
- 区域间的大脑合得到了很好的研究,但区域内动态的探索较少.
- 描述大脑活动是整个大脑协会研究的关键.
研究的目的:
- 为了全面描述区域内大脑动态.
- 识别大脑活动的个体特异性动态特征 ("条形码").
- 调查区域内动态和行为特征之间的联系.
主要方法:
- 分析了30148名 (8-82岁) 个体的休息状态功能磁共振成像 (fMRI) 数据.
- 提取约5,000个时间序列特征,代表271个大脑区域的区域内动态.
- 确定形成个体特异性大脑"条形码"的稳定子集特征.
主要成果:
- 确定了一个可靠的区域内动态特征 (条形码) 的子集,反映了稳定的个体变化.
- 单模区域的非线性自身相关性与物质使用特征相关.
- 高阶网络中的随机步行动态与一般认知能力相关.
- 脑行为关联在各个年龄组和人群中概括.
结论:
- 区域内大脑动态为大脑行为关联研究提供了强大的,个体特异性的"条形码".
- 这些发现突显了区域内动态的潜力,以了解物质使用和认知等特征的个体差异.
- 这项研究通过结合动态大脑活动模式,推进了大规模的,可概括的大脑范围的关联研究.
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