脑网络控制理论的发展及其启示。

IF 2.9
Psychoradiology Pub Date : 2024-12-14 eCollection Date: 2024-01-01 DOI:10.1093/psyrad/kkae028
Zhoukang Wu, Liangjiecheng Huang, Min Wang, Xiaosong He
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引用次数: 0

摘要

脑网络控制理论(NCT)是神经科学的一个突破性领域,它采用系统工程和控制论原理来阐明和操纵大脑动力学。本文综述了近十年来NCT的发展和应用。我们强调了如何有效地利用NCT来模拟大脑动力学,为认知控制、大脑发育、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包的NCT的实际实现。我们还提出了与NCT相关的疑问和挑战,以及为提供更好的经验验证和生物学基础所做的努力。最后,对NCT的发展和应用进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of the brain network control theory and its implications.

Development of the brain network control theory and its implications.

Development of the brain network control theory and its implications.

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.

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