基因指纹与休息状态大脑网络拓学的遗传表型
Haatef Pourmotabbed1,2, Dave F Clarke2, Catie Chang1,3
1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Communications biology
|September 30, 2024
概括
大脑网络属性是可遗传的,磁脑摄影 (MEG) 显示的遗传影响比功能性MRI (fMRI) 高. 这些大脑网络特征可以充当遗传指纹,将大脑功能与遗传机制联系起来.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 是一个遗传学.
- 脑部成像 脑部成像
背景情况:
- 认知,行为和疾病特征的个体差异受遗传和环境因素的影响.
- 使用图形理论分析的大脑连接体拓学的变异与个体特征差异有关,并且可能是遗传驱动的.
研究的目的:
- 为了确定静止状态大脑网络的全球和本地图形属性的遗传性.
- 为了比较功能性MRI (fMRI) 和磁脑造影 (MEG) 来得出的网络属性的遗传性.
- 在源空间中使用MEG研究对电生理学大脑网络的遗传影响.
主要方法:
- 利用了来自人类结合体项目的双胞胎和非双胞胎兄弟姐妹的大量队列.
- 分析了休息状态功能性MRI (fMRI) 和磁脑电图 (MEG) 数据.
- 计算了大脑网络的全球和本地图形理论属性.
主要成果:
- 与fMRI相比,大多数图表测量显示MEG的遗传性更高.
- MEG数据显示,幅度同步的遗传性比Delta,高β和马频段的相同步更大.
- 大脑网络特征足够明显,可以准确地识别队列中的同卵双胞胎,作为遗传指纹.
结论:
- 休息状态大脑网络拓,特别是由MEG捕获的快速神经元动态,具有重要的遗传基础.
- 与fMRI相比,MEG为大脑网络组织的遗传基础提供了独特的见解.
- 个别的连接体签名可以与遗传机制联系起来,为未来的研究开辟了道路.
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