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动态休息状态网络标记青年破坏性行为问题的动态休息状态网络标记

Heather M Shappell¹, Zhiyuan Liu^2,3, Mohammadreza Khodaei^1,4

¹Wake Forest University School of Medicine, Department of Biostatistics and Data Science.

bioRxiv : the preprint server for biology

|June 6, 2025

概括

儿童破坏性行为问题与动态的大脑网络变化有关. 在异常的认知控制网络状态中增加的时间独特地预测了年轻人中破坏性行为的严重程度.

科学领域:

神经科学是一个神经科学.
发展心理学发展心理学
认知科学认知科学

背景情况:

儿童破坏性行为问题与大脑网络完整性的改变有关.
动态功能大脑架构变异在这些行为中的作用仍然不清楚.

研究的目的:

调查动态功能性大脑连接是否与儿童的破坏性行为问题有明显的关联.
识别与破坏性行为症状严重程度相关的特定动态网络属性.

主要方法:

利用了来自青少年大脑认知发展 (ABCD) 研究的877名儿童 (9-10岁) 的静止状态fMRI数据.
采用隐藏的半马尔科夫模型 (HSMM) 来分析动态功能连接并识别暂时的大脑网络状态.
用线性回归来评估已识别状态中的占用和停留时间,以及它们与破坏性行为严重程度的关联.

主要成果:

具有破坏性行为问题的孩子在网络状态中花费了更多的时间,在认知控制电路 (前对面和背部注意力网络) 中具有异常连接.
这些发现在单独的样本中得到复制,证实了特定大脑状态中增加的占用时间和破坏性行为严重程度之间的独特关联.

结论:

动态休息状态功能连接标记显示出识别青少年破坏性行为问题的潜力.
这些标记物可以帮助开发基于大脑的生物标记物,用于治疗监测和临床决策.

关键词:

生物标志物生物标志物破坏性行为障碍破坏性行为障碍动态大脑网络动态大脑网络动态连接动态连接休息状态的fMRI.

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