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

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2020
Source ID
10.1162/netn_a_00116

Entities

People

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

Organizations

  • Alfred P. Sloan Foundation
  • Army Research Office
  • Australian Research Council
  • Canadian Institutes of Health Research
  • Emory University
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development
  • Georgia State University
  • German Research Foundation
  • Goethe University Frankfurt
  • Indiana University Bloomington
  • Institute for Scientific Interchange
  • John D. and Catherine T. MacArthur Foundation
  • Johns Hopkins University
  • Karolinska Institutet
  • Knut and Alice Wallenberg Foundation
  • NED University of Engineering and Technology
  • National Health and Medical Research Council
  • National Institute of Biomedical Imaging and Bioengineering
  • National Institute of Mental Health
  • National Institute of Neurological Disorders and Stroke
  • National Institutes of Health
  • National Science Foundation
  • Office of Naval Research
  • Rotman Research Institute
  • Stanford University
  • The Mind Research Network
  • United States Army Research Laboratory
  • University College London
  • University of California, San Francisco
  • University of Michigan
  • University of New Mexico
  • University of Newcastle
  • University of Oxford
  • University of Pennsylvania
  • University of Sydney
  • University of Toronto

Tags

Readers

  • Neural Network Machine Learning.
  • Neuroscience
  • Systems Analysis and Design