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纵向thalamic记录中的节奏与发作风险有关
Xinbing Zhang1, Zachary Sanger1, Thomas Lisko2
1Department of Biomedical Engineering, University of Minnesota.
medRxiv : the preprint server for health sciences
|November 24, 2025
概括
预测发作风险可以使用来自 thalamus (ANT) 前核的大脑节奏来预测. 长期记录显示,ANT局部场潜力 (LFP) 中的周期与发作发生相关,有助于预测事件.
科学领域:
- 神经科学是一个神经科学.
- 的研究研究.
- 信号处理 信号处理
背景情况:
- 发作不可预测性是管理中的重大临床挑战.
- 以前的研究表明,发作风险与大脑和生理信号的昼夜和多天周期有关.
- 目前尚不清楚深层大脑结构,比如甲状腺前核 (ANT),是否表现出与发作相关的类似循环调制.
研究的目的:
- 调查从ANTT记录的长期局部现场潜力 (LFP) 是否表现出与有关的昼夜和多天周期.
- 评估这些ANT LFP周期对于追溯预测发作风险的潜力.
主要方法:
- 在七名参与者中,通过ANTT深度大脑刺激 (DBS) 来在家中持续记录LFP.
- 使用波形变换和希尔伯特变换分析了theta/alpha (4-12 Hz) 频段LFP和自我报告的发作日志.
- 循环统计用于扣押阶段锁定到LFP周期;高斯过程回归 (GPR) 用于扣押风险预测.
主要成果:
- 所有参与者都在ANT LFPs中表现出昼夜和多天周期,发作与某些周期相锁定.
- 使用LFP周期预测发作风险,表现高于机会 (平均AUROC:0.63).
- 在某些情况下,结合周期幅度可以改善预测;更强的昼夜周期与更高的发作频率相关.
结论:
- 长期的ANT LFP记录显示了与发作风险相关的节奏性大脑活动.
- 这些发现表明,ANT LFP周期可以支持发作预测.
- 未来的研究应该整合相位和振幅数据,以提高预测准确度.
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