Cai Weidong, Taghia Jalil, Menon Vinod
Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Wu Tsai Neuroscience Institute, Stanford University, Stanford, CA, USA.
Nat Commun. 2024 Mar 11;15(1):2185. doi: 10.1038/s41467-024-46511-5.
The existence of a multiple-demand cortical system with an adaptive, domain-general, role in cognition has been proposed, but the underlying dynamic mechanisms and their links to cognitive control abilities are poorly understood. Here we use a probabilistic generative Bayesian model of brain circuit dynamics to determine dynamic brain states across multiple cognitive domains, independent datasets, and participant groups, including task fMRI data from Human Connectome Project, Dual Mechanisms of Cognitive Control study and a neurodevelopment study. We discover a shared brain state across seven distinct cognitive tasks and found that the dynamics of this shared brain state predicted cognitive control abilities in each task. Our findings reveal the flexible engagement of dynamic brain processes across multiple cognitive domains and participant groups, and uncover the generative mechanisms underlying the functioning of a domain-general cognitive operating system. Our computational framework opens promising avenues for probing neurocognitive function and dysfunction.
有人提出存在一个具有适应性、领域通用的多重需求皮层系统在认知中发挥作用，但对其潜在的动态机制及其与认知控制能力的联系却知之甚少。在这里，我们使用一个大脑回路动力学的概率生成贝叶斯模型，来确定跨多个认知领域、独立数据集和参与者群体的动态脑状态，包括来自人类连接组计划、认知控制的双重机制研究和一项神经发育研究的任务功能磁共振成像数据。我们在七个不同的认知任务中发现了一种共享的脑状态，并发现这种共享脑状态的动力学预测了每个任务中的认知控制能力。我们的研究结果揭示了跨多个认知领域和参与者群体的动态脑过程的灵活参与，并揭示了一个领域通用的认知操作系统运作的生成机制。我们的计算框架为探索神经认知功能和功能障碍开辟了有前景的途径。
