Spontaneous physiological variability modulates dynamic functional connectivity in resting-state functional magnetic resonance imaging

Nikolaou, F., Orphanidou, C., Papakyriakou, P., Murphy, Kevin ORCID: https://orcid.org/0000-0002-6516-313X, Wise, Richard Geoffrey ORCID: https://orcid.org/0000-0003-1700-2144 and Mitsis, G. D. 2016. Spontaneous physiological variability modulates dynamic functional connectivity in resting-state functional magnetic resonance imaging. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 374 (2067) 10.1098/rsta.2015.0183

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Abstract

It is well known that the blood oxygen level-dependent (BOLD) signal measured by functional magnetic resonance imaging (fMRI) is influenced—in addition to neuronal activity—by fluctuations in physiological signals, including arterial CO2, respiration and heart rate/heart rate variability (HR/HRV). Even spontaneous fluctuations of the aforementioned physiological signals have been shown to influence the BOLD fMRI signal in a regionally specific manner. Related to this, estimates of functional connectivity between different brain regions, performed when the subject is at rest, may be confounded by the effects of physiological signal fluctuations. Moreover, resting functional connectivity has been shown to vary with respect to time (dynamic functional connectivity), with the sources of this variation not fully elucidated. In this context, we examine the relation between dynamic functional connectivity patterns and the time-varying properties of simultaneously recorded physiological signals (end-tidal CO2 and HR/HRV) using resting-state fMRI measurements from 12 healthy subjects. The results reveal a modulatory effect of the aforementioned physiological signals on the dynamic resting functional connectivity patterns for a number of resting-state networks (default mode network, somatosensory, visual). By using discrete wavelet decomposition, we also show that these modulation effects are more pronounced in specific frequency bands.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Psychology Physics and Astronomy Cardiff University Brain Research Imaging Centre (CUBRIC)
Uncontrolled Keywords:	blood oxygen level-dependent signal, end-tidal CO2, heart rate variability, wavelets
Publisher:	The Royal Society
ISSN:	1364-503X
Date of Acceptance:	11 February 2016
Last Modified:	01 Nov 2022 11:34
URI:	https://orca.cardiff.ac.uk/id/eprint/95411

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