McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Department of Psychology, Northeastern University, Boston, MA, USA.
Cerebellum. 2022 Apr;21(2):225-233. doi: 10.1007/s12311-021-01284-1. Epub 2021 Jun 19.
The interaction of the cerebellum with cerebral cortical dynamics is still poorly understood. In this paper, dynamical causal modeling is used to examine the interaction between cerebellum and cerebral cortex as indexed by MRI resting-state functional connectivity in three large-scale networks on healthy young adults (N = 200; Human Connectome Project dataset). These networks correspond roughly to default mode, task positive, and motor as determined by prior cerebellar functional gradient analyses. We find uniform interactions within all considered networks from cerebellum to cerebral cortex, providing support for the notion of a universal cerebellar transform. Our results provide a foundation for future analyses to quantify and further investigate whether this is a property that is unique to the interactions from cerebellum to cerebral cortex.
小脑与大脑皮层动态的相互作用仍知之甚少。在本文中,我们使用动态因果建模来研究健康年轻成年人(N=200;人类连接组计划数据集)三个大规模网络中 MRI 静息态功能连接所标记的小脑与大脑皮层之间的相互作用。这些网络大致对应于先前小脑功能梯度分析确定的默认模式、任务正性和运动。我们发现从小脑到大脑皮层的所有考虑网络中都存在一致的相互作用,这为普遍的小脑转换的概念提供了支持。我们的研究结果为未来的分析提供了基础,以量化并进一步研究这种从小脑到大脑皮层的相互作用是否具有独特的特性。