研究大脑网络中的功能连接的因果关系方法:基底 - 丘脑因果相互作用
Clara Rodriguez-Sabate1,2, Albano Gonzalez3, Juan Carlos Perez-Darias3
1Laboratory of Neurobiology and Experimental Neurology, Department of Physiology, Faculty of Medicine, University of La Laguna, Tenerife, Canary Islands, Spain.
Brain imaging and behavior
|October 12, 2023
概括
研究人员使用新的因果关系方法探索了大脑动态. 他们发现大脑垂体和基底之间存在非线性相互作用,运动任务迅速改变了这些功能关系.
科学领域:
- 神经科学是一个神经科学.
- 复杂系统动力学 复杂系统动力学
- 计算神经科学是一种神经科学.
背景情况:
- 研究像大脑这样的复杂系统是具有挑战性的,因为无法实验性地改变系统状态.
- 了解因果关系对于建模和预测这种系统的演变至关重要.
- 之前的研究受限于观察大脑活动的实验限制.
研究的目的:
- 为了研究在清醒的人类体内塔拉姆细胞核和基底腺节之间的复杂因果关系.
- 应用先进的因果关系方法来分析线性,非线性和有条件的 thalamus-basal ganglia 相互作用中的相互信息.
- 探索运动任务如何影响这些功能关系.
主要方法:
- 利用最近开发的因果关系方法,对人类大脑的数据,从 thalamus 和基底.
- 采用了三个互补的技术:部分相关性回归,高斯过程回归/距离相关性,以及无模型的近邻方法.
- 分析了从清醒的人类执行不同运动任务的数据.
主要成果:
- 确定了基底和特定的胸膜中心 (前腹,内膜,中背) 之间的明显的功能关系.
- 揭示了超过60%的57个已识别的lamus - 基底腺关系表现出非线性动态.
- 在带有和没有直接结构连接到 thalamus 的基底腺核中观察到这些相互作用.
- 发现运动任务诱导 thalamus-basal ganglia 相互作用的快速变化.
结论:
- 泰拉马斯-基底腺相互作用是复杂的,通常是非线性的.
- 即使没有直接的结构连接,功能相互作用也可以存在,这表明间接的途径.
- 运动任务显著且快速调节这些神经动态.
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