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Stereotypical modulations in dynamic functional connectivity explained by changes in BOLD variance.

Katharina Glomb¹, Adrián Ponce-Alvarez², Matthieu Gilson²

¹Center for Brain and Cognition, Dept. of Technology and Information, Universitat Pompeu Fabra, Carrer Tànger, 122-140, 08018, Barcelona, Spain; Department of Radiology, Centre Hospitalier Universitaire Vaudoise (CHUV), Rue du Bugnon 46, 1011, Lausanne, Switzerland.

|January 3, 2018

Summary

This summary is machine-generated.

Resting state networks (RSNs) fluctuate dynamically. While many fluctuations align with stationary models, the brain shows nonstationary behavior, spending more time in low-activity states than expected.

Keywords:

Dynamic functional connectivity Feature extraction Functional connectivity Human Mean field models Tensor decomposition Whole-brain models fMRI

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Area of Science:

Neuroscience
Cognitive Neuroscience
Brain Imaging

Background:

Spontaneous brain activity forms functional networks (RSNs) during rest.
RSN dynamics fluctuate over time, with unclear origins (noise vs. state switching).
Default Mode Network fluctuations are linked to cognitive function.

Purpose of the Study:

Investigate temporal dynamics of RSNs.
Relate RSN fluctuations to global BOLD signal modulations.
Determine if RSN dynamics are stationary or nonstationary.

Main Methods:

Sliding window analysis of RSNs.
Comparison of empirical, surrogate, and simulated stationary data.
Analysis of functional connectivity (FC) and BOLD variance.

Main Results:

RSN time courses show significant coactivation and link to global BOLD dynamics.
Observed fluctuations in FC and BOLD are largely explained by deviations from average FC.
Nonstationary features were identified, with the brain favoring low-activity states.

Conclusions:

While some RSN dynamics resemble stationary processes, significant nonstationarity exists.
The brain exhibits state-switching behavior, not just random fluctuations.
Understanding these nonstationary dynamics is crucial for cognitive function research.