Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, United States.
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, United States.
Neurosci Biobehav Rev. 2021 May;124:235-244. doi: 10.1016/j.neubiorev.2021.02.011. Epub 2021 Feb 11.
"Executive functions" (EFs) is an umbrella term for higher cognitive control functions such as working memory, inhibition, and cognitive flexibility. One of the most challenging problems in this field of research has been to explain how the wide range of cognitive processes subsumed as EFs are controlled without an all-powerful but ill-defined central executive in the brain. Efforts to localize control mechanisms in circumscribed brain regions have not led to a breakthrough in understanding how the brain controls and regulates itself. We propose to re-conceptualize EFs as emergent consequences of highly distributed brain processes that communicate with a pool of highly connected hub regions, thus precluding the need for a central executive. We further discuss how graph-theory driven analysis of brain networks offers a unique lens on this problem by providing a reference frame to study brain connectivity in EFs in a holistic way and helps to refine our understanding of the mechanisms underlying EFs by providing new, testable hypotheses and resolves empirical and theoretical inconsistencies in the EF literature.
“执行功能”(EFs)是一个涵盖范围广泛的高级认知控制功能的术语,例如工作记忆、抑制和认知灵活性。该研究领域最具挑战性的问题之一是,如何在没有大脑中全能但定义不明确的中央执行器的情况下,解释被归入 EFs 的广泛认知过程是如何被控制的。将控制机制定位在特定脑区的努力并没有在理解大脑如何控制和调节自身方面取得突破。我们建议重新将 EFs 概念化为高度分布式脑过程的涌现结果,这些过程与一个高度连接的枢纽区域池进行通信,从而排除了对中央执行器的需求。我们进一步讨论了如何通过提供整体研究 EFs 脑连接的参考框架,以及通过提供新的、可测试的假设和解决 EF 文献中的经验和理论不一致性,来帮助我们更深入地了解 EFs 背后的机制,从而为这个问题提供独特的视角。