叶的动态功能连接和基因表达相关:从隐藏的马尔科夫模型的见解
Lu Qin1, Qin Zhou1, Yuting Sun1
1Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Journal of translational medicine
|August 14, 2024
概括
叶 (TLE) 显示大脑活动动态发生变化. 这项研究将TLE和TLE与认知障碍 (TLE-CI) 的这些时间变化与特定的基因表达模式联系起来.
科学领域:
- 神经科学是一个神经科学.
- 的研究研究.
- 计算精神病学是一种计算精神病学.
背景情况:
- 叶 (TLE) 的特征是异常的动态功能连接.
- 确切的时间大脑活动变化和TLE的潜在分子机制在很大程度上是未知的.
研究的目的:
- 用隐藏马尔科夫模型 (HMM) 分析研究TLE患者的动态大脑活动模式.
- 探索TLE患者认知障碍 (TLE-CI) 中大脑活动的时间动态.
- 检查与TLE中动态大脑状态相关的基因表达特征.
主要方法:
- 84名TLE患者和35名健康对照者的休息状态功能性MRI (rs-fMRI) 数据.
- 隐藏马尔科夫模型 (HMM) 分析以识别大脑状态及其时间动态.
- 使用艾伦人类大脑图谱 (AHBA) 分析基因表达数据.
主要成果:
- 确定了五种不同的HMM状态.
- 与HCs相比,TLE和TLE-CI患者在状态占用,持续时间和过渡率方面表现出显著的差异.
- 动态大脑状态与默认模式网络 (DMN),皮质下网络 (SCN) 和小脑网络 (CN) 有关.
- 1580个基因,主要涉及神经元信号和突触功能,在TLE中与动态大脑状态显著相关.
结论:
- HMM分析揭示了TLE中明显的动态神经活动模式.
- 这些发现加深了对TLE和TLE-CI的神经生物学基础的理解.
- 在TLE中,动态神经配置和基因表达之间存在显著的联系.
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