Keywords: Functional Connectivity, Neuro, rsfMRI, rsfEPT, functional connectivity, independent component analysis, ICA, tissue electrical conductivity, functional electrical properties tomography, fEPT
Motivation: Recent studies show task-evoked functional electrical properties tomography (fEPT) may detect neuronal activations, but the underlying neurophysiological substrates are unclear. Moreover, analysis of resting-state fEPT (rsfEPT) has not yet been reported.
Goal(s): To investigate rsfEPT fluctuations to reveal/elucidate potential neurophysiological, noise and artifactual contributions.
Approach: We performed independent component analysis (ICA) of rsfEPT in three healthy volunteers and compared it with ICA-based rsfMRI. We analysed power spectra of independent components (ICs) and compared rsfEPT ICs with the rsfMRI default mode network (DMN).
Results: Compared with rsfMRI, rsfEPT had more ICs which had broader spectra and different spatial distributions compared with the rsfMRI DMN.
Impact: We demonstrated rsfEPT for the first time using ICA. In addition to elucidating potential contributions to task-based fEPT, both neurophysiological and noisy or artifactual, this rsfEPT technique opens the possibility to reveal new conductivity-based resting-state networks in the human brain.
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