Wu Zhoukang, Huang Liangjiecheng, Wang Min, He Xiaosong
Department of Psychology, University of Science and Technology of China, Hefei, Anhui 230062, China.
Psychoradiology. 2024 Dec 14;4:kkae028. doi: 10.1093/psyrad/kkae028. eCollection 2024.
Brain network control theory (NCT) is a groundbreaking field in neuroscience that employs system engineering and cybernetics principles to elucidate and manipulate brain dynamics. This review examined the development and applications of NCT over the past decade. We highlighted how NCT has been effectively utilized to model brain dynamics, offering new insights into cognitive control, brain development, the pathophysiology of neurological and psychiatric disorders, and neuromodulation. Additionally, we summarized the practical implementation of NCT using the nctpy package. We also presented the doubts and challenges associated with NCT and efforts made to provide better empirical validations and biological underpinnings. Finally, we outlined future directions for NCT, covering its development and applications.
脑网络控制理论(NCT)是神经科学领域的一个开创性领域,它运用系统工程和控制论原理来阐释和操纵脑动力学。本综述考察了过去十年中NCT的发展及应用。我们着重介绍了NCT如何被有效地用于对脑动力学进行建模,为认知控制、脑发育、神经和精神疾病的病理生理学以及神经调节提供了新的见解。此外,我们总结了使用nctpy软件包对NCT的实际应用。我们还提出了与NCT相关的疑问和挑战,以及为提供更好的实证验证和生物学基础所做的努力。最后,我们概述了NCT的未来发展方向,包括其发展和应用。