Sibert Catherine, Hake Holly Sue, Stocco Andrea
Cognition and Cortical Dynamics Lab, Department of Psychology, University of Washington, Seattle, WA, United States.
Front Neurosci. 2022 Jul 11;16:832503. doi: 10.3389/fnins.2022.832503. eCollection 2022.
The Common Model of Cognition (CMC) has been proposed as a high level framework through which functional neuroimaging data can be predicted and interpreted. Previous work has found the CMC is capable of predicting brain activity across a variety of tasks, but it has not been tested on resting state data. This paper adapts a previously used method for comparing theoretical models of brain structure, Dynamic Causal Modeling, for the task-free environment of resting state, and compares the CMC against six alternate architectural frameworks while also separately modeling spontaneous low-frequency oscillations. For a large sample of subjects from the Human Connectome Project, the CMC provides the best account of resting state brain activity, suggesting the presence of a general purpose structure of connections in the brain that drives activity when at rest and when performing directed task behavior. At the same time, spontaneous brain activity was found to be present and significant across all frequencies and in all regions. Together, these results suggest that, at rest, spontaneous low-frequency oscillations interact with the general cognitive architecture for task-based activity. The possible functional implications of these findings are discussed.
认知通用模型（CMC）已被提出作为一个高级框架，通过该框架可以预测和解释功能神经成像数据。先前的研究发现，CMC能够预测各种任务中的大脑活动，但尚未在静息状态数据上进行测试。本文采用了一种先前用于比较大脑结构理论模型的方法——动态因果建模，以适用于静息状态的无任务环境，并将CMC与六个替代架构框架进行比较，同时还分别对自发低频振荡进行建模。对于来自人类连接体项目的大量受试者样本，CMC对静息状态下的大脑活动提供了最佳解释，这表明大脑中存在一种通用的连接结构，在休息和执行定向任务行为时驱动活动。同时，发现自发脑活动在所有频率和所有区域均存在且显著。这些结果共同表明，在静息状态下，自发低频振荡与基于任务活动的通用认知架构相互作用。本文还讨论了这些发现可能的功能意义。
