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静息态功能磁共振成像中时变功能连接性研究的问题与争议

Questions and controversies in the study of time-varying functional connectivity in resting fMRI.

作者信息

Lurie Daniel J, Kessler Daniel, Bassett Danielle S, Betzel Richard F, Breakspear Michael, Kheilholz Shella, Kucyi Aaron, Liégeois Raphaël, Lindquist Martin A, McIntosh Anthony Randal, Poldrack Russell A, Shine James M, Thompson William Hedley, Bielczyk Natalia Z, Douw Linda, Kraft Dominik, Miller Robyn L, Muthuraman Muthuraman, Pasquini Lorenzo, Razi Adeel, Vidaurre Diego, Xie Hua, Calhoun Vince D

机构信息

Department of Psychology, University of California, Berkeley, Berkeley, CA, USA.

Departments of Statistics and Psychiatry, University of Michigan, Ann Arbor, MI, USA.

出版信息

Netw Neurosci. 2020 Feb 1;4(1):30-69. doi: 10.1162/netn_a_00116. eCollection 2020.

Abstract

The brain is a complex, multiscale dynamical system composed of many interacting regions. Knowledge of the spatiotemporal organization of these interactions is critical for establishing a solid understanding of the brain's functional architecture and the relationship between neural dynamics and cognition in health and disease. The possibility of studying these dynamics through careful analysis of neuroimaging data has catalyzed substantial interest in methods that estimate time-resolved fluctuations in functional connectivity (often referred to as "dynamic" or time-varying functional connectivity; TVFC). At the same time, debates have emerged regarding the application of TVFC analyses to resting fMRI data, and about the statistical validity, physiological origins, and cognitive and behavioral relevance of resting TVFC. These and other unresolved issues complicate interpretation of resting TVFC findings and limit the insights that can be gained from this promising new research area. This article brings together scientists with a variety of perspectives on resting TVFC to review the current literature in light of these issues. We introduce core concepts, define key terms, summarize controversies and open questions, and present a forward-looking perspective on how resting TVFC analyses can be rigorously and productively applied to investigate a wide range of questions in cognitive and systems neuroscience.

摘要

大脑是一个由许多相互作用的区域组成的复杂多尺度动力系统。了解这些相互作用的时空组织对于扎实理解大脑的功能结构以及健康和疾病状态下神经动力学与认知之间的关系至关重要。通过仔细分析神经影像数据来研究这些动力学的可能性激发了人们对估计功能连接中时间分辨波动(通常称为“动态”或时变功能连接;TVFC)方法的浓厚兴趣。与此同时,关于TVFC分析在静息态功能磁共振成像(fMRI)数据中的应用,以及静息态TVFC的统计有效性、生理起源以及认知和行为相关性的争论也随之出现。这些以及其他未解决的问题使得静息态TVFC研究结果的解释变得复杂,并限制了从这个有前景的新研究领域中获得的见解。本文汇聚了对静息态TVFC持有各种观点的科学家,根据这些问题对当前文献进行综述。我们介绍核心概念,定义关键术语,总结争议和未解决的问题,并对如何严格且有效地应用静息态TVFC分析来研究认知和系统神经科学中的广泛问题提出前瞻性观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6ca/7006871/81dfa72fa9af/netn-04-30-g001.jpg

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