自闭症谱系障碍风险基因NEXMIF过度同步海马CA1网络并改变神经元编码
Rebecca A Mount1, Mohamed Athif1, Margaret O'Connor2
1Department of Biomedical Engineering, Boston University, Boston, MA, United States.
Frontiers in neuroscience
|November 15, 2023
概括
自闭症谱系障碍 (ASD) 风险基因NEXMIF在小鼠中被淘汰导致过度同步的大脑网络. 这会在运动过程中扰乱正常的网络活动,可能导致与自闭症相关的行为和记忆缺陷.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 是一个遗传学.
- 自闭症谱系障碍研究研究
背景情况:
- 已知自闭症谱系障碍 (ASD) 风险基因的突变会破坏神经网络动态,导致异常行为.
- 了解特定的ASD风险基因如何在行为过程中影响神经电路计算对于开发有针对性的干预至关重要.
研究的目的:
- 为了研究与X相关的ASD风险基因NEXMIF (神经延伸和迁移因子) 淘汰对海马网络动态在行为过程中的影响.
- 分析NEXMIF缺乏如何影响海马体CA1区域的神经电路计算和功能连接.
主要方法:
- 在NEXMIF淘汰赛和野生型小鼠中,同时对数百个CA1神经元进行了大规模的细胞成像.
- 分析了小鼠在自愿移动过程中,以评估CA1网络在空间记忆的基本组成部分中的反应.
- 基于图形理论的近距离中心性分析和传统的对对应关系分析被用来量化网络功能连接.
主要成果:
- 在NEXMIF的淘汰赛中,小鼠表现出深刻的学习和记忆缺陷.
- 虽然个体神经元刺激性保持不变,但在NEXMIF淘汰赛小鼠中,与运动相关的神经元反应被夸大了.
- 野生类型的小鼠在移动时显示CA1网络脱同步,这表明信息编码得到了增强. 相比之下,NEXMIF淘汰赛小鼠显示过度同步的CA1网络,无论行为状态如何,在移动过程中无法脱同步.
结论:
- 缺少NEXMIF会导致异常,过度同步的海马网络活动,在运动等活跃行为期间持续存在.
- 这种持续的网络过度同步,是扰乱ASD相关基因的结果,可能是观察到的学习和记忆缺陷的基础,并导致与ASD相关的行为.
- 接近中心性分析为量化神经系统疾病中的网络功能连接性变化提供了一种有价值的方法.
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