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On the Stability of BOLD fMRI Correlations
Timothy O Laumann1, Abraham Z Snyder1,2, Anish Mitra2
1Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Dynamic functional connectivity in resting-state fMRI is often an illusion. Factors like sampling variability, head motion, and sleep state, not cognitive changes, explain observed BOLD signal dynamics.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- Blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) measures correlations between brain regions, known as functional connectivity, to study brain organization.
- Dynamic functional connectivity (dFC) analysis of resting-state BOLD fMRI has gained recent attention.
Purpose of the Study:
- To investigate the sources of observed dynamic changes in functional connectivity during resting-state BOLD fMRI.
- To determine if resting-state functional connectivity truly exhibits moment-to-moment variability or if observed dynamics are artifacts.
Main Methods:
- Simulations were used to model BOLD signal dynamics.
- Multiple sets of empirical resting-state BOLD fMRI data were analyzed.
- The influence of task states, sampling variability, head motion, and sleep state on functional connectivity was assessed.
Main Results:
- Task states can alter BOLD activity correlation structures.
- Observed "dynamic" BOLD correlations during rest are largely explained by sampling variability.
- Head motion and fluctuating sleep state contribute significantly to the observed "dynamics" during rest.
- A single correlation structure may adequately describe the resting state, excluding artifactual influences.
Conclusions:
- Observed dynamic functional connectivity in resting-state BOLD fMRI is predominantly driven by technical factors and physiological variations, not cognitive content.
- Resting-state BOLD correlations may primarily reflect the maintenance of long-term brain functional organization stability.
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