Abstract

In cognitive neuroscience, focus is commonly placed on associating brain function with changes in objectively measured external stimuli or with actively generated cognitive processes. In everyday life, however, many forms of cognitive processes are initiated spontaneously, without an individual’s active effort and without explicit manipulation of behavioral state. Recently, there has been increased emphasis, especially in functional neuroimaging research, on spontaneous correlated activity among spatially segregated brain regions (intrinsic functional connectivity) and, more specifically, on intraindividual fluctuations of such correlated activity on various time scales (time-varying functional connectivity). In this Perspective, we propose that certain subtypes of spontaneous cognitive processes are detectable in time-varying functional connectivity measurements. We define these subtypes of spontaneous cognitive processes and review evidence of their representations in time-varying functional connectivity from studies of attentional fluctuations, memory reactivation, and effects of baseline states on subsequent perception. Moreover, we describe how these studies are critical to validating the use of neuroimaging tools (e.g., fMRI) for assessing ongoing brain network dynamics. We conclude that continued investigation of the behavioral relevance of time-varying functional connectivity will be beneficial both in the development of comprehensive neural models of cognition, and in informing on best practices for studying brain network dynamics.

Highlights

  • To many neuroscientists, the question “What is your brain doing ?” is of great interest

  • Focus is commonly placed on associating brain function with changes in environmental stimuli or actively generated cognitive processes

  • We describe how these studies are critical to validating the use of neuroimaging tools for assessing ongoing brain network dynamics

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Summary

INTRODUCTION

The question “What is your brain doing ?” is of great interest. Higher modularity has been shown to be related to greater self-reported fatigue (Shine et al, 2016) and to successful stimulus detection during a vigilance task (Sadaghiani, Poline, Kleinschmidt, & D’Esposito, 2015), indicating that time-varying changes in modularity reflect (at least in part) changes in spontaneous cognitive processes Another summary metric that has been successfully related to ongoing dynamics is local efficiency, a measure of the interconnectedness of groups of neighboring, or directly connected, nodes. Behavioral output measures are absent in a resting state experiment, such fluctuations likely reflect and impact an individual’s unobserved cognitive state Another spontaneous cognitive process that has been investigated using time-varying FC is memory reactivation, or the recurrence of representations of past experience after events are initially encoded into memory. As better models of the brain’s macroscale organization are developed, more sensitive methods for detecting the changes that are of interest are likely to emerge

CONCLUSION
FUNDING INFORMATION
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