Aperiodic measures of neural excitability are associated with anticorrelated hemodynamic networks at rest: A combined EEG-fMRI study

The hallmark of resting EEG spectra are distinct rhythms emerging from a broadband, aperiodic background. This aperiodic neural signature accounts for most of total EEG power, although its significance and relation to functional neuroanatomy remains obscure. We hypothesized that aperiodic EEG reflec...

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Autores principales: Michael S. Jacob, Brian J. Roach, Kaia S. Sargent, Daniel H. Mathalon, Judith M. Ford
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/8e6ddca4c7de409a9303134ad5f79d4f
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spelling oai:doaj.org-article:8e6ddca4c7de409a9303134ad5f79d4f2021-11-28T04:28:58ZAperiodic measures of neural excitability are associated with anticorrelated hemodynamic networks at rest: A combined EEG-fMRI study1095-957210.1016/j.neuroimage.2021.118705https://doaj.org/article/8e6ddca4c7de409a9303134ad5f79d4f2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1053811921009770https://doaj.org/toc/1095-9572The hallmark of resting EEG spectra are distinct rhythms emerging from a broadband, aperiodic background. This aperiodic neural signature accounts for most of total EEG power, although its significance and relation to functional neuroanatomy remains obscure. We hypothesized that aperiodic EEG reflects a significant metabolic expenditure and therefore might be associated with the default mode network while at rest. During eyes-open, resting-state recordings of simultaneous EEG-fMRI, we find that aperiodic and periodic components of EEG power are only minimally associated with activity in the default mode network. However, a whole-brain analysis identifies increases in aperiodic power correlated with hemodynamic activity in an auditory-salience-cerebellar network, and decreases in aperiodic power are correlated with hemodynamic activity in prefrontal regions. Desynchronization in residual alpha and beta power is associated with visual and sensorimotor hemodynamic activity, respectively. These findings suggest that resting-state EEG signals acquired in an fMRI scanner reflect a balance of top-down and bottom-up stimulus processing, even in the absence of an explicit task.Michael S. JacobBrian J. RoachKaia S. SargentDaniel H. MathalonJudith M. FordElsevierarticleScale-freeAperiodicResting-stateEEG-fMRINeurometabolic couplingNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENNeuroImage, Vol 245, Iss , Pp 118705- (2021)
institution DOAJ
collection DOAJ
language EN
topic Scale-free
Aperiodic
Resting-state
EEG-fMRI
Neurometabolic coupling
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
spellingShingle Scale-free
Aperiodic
Resting-state
EEG-fMRI
Neurometabolic coupling
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Michael S. Jacob
Brian J. Roach
Kaia S. Sargent
Daniel H. Mathalon
Judith M. Ford
Aperiodic measures of neural excitability are associated with anticorrelated hemodynamic networks at rest: A combined EEG-fMRI study
description The hallmark of resting EEG spectra are distinct rhythms emerging from a broadband, aperiodic background. This aperiodic neural signature accounts for most of total EEG power, although its significance and relation to functional neuroanatomy remains obscure. We hypothesized that aperiodic EEG reflects a significant metabolic expenditure and therefore might be associated with the default mode network while at rest. During eyes-open, resting-state recordings of simultaneous EEG-fMRI, we find that aperiodic and periodic components of EEG power are only minimally associated with activity in the default mode network. However, a whole-brain analysis identifies increases in aperiodic power correlated with hemodynamic activity in an auditory-salience-cerebellar network, and decreases in aperiodic power are correlated with hemodynamic activity in prefrontal regions. Desynchronization in residual alpha and beta power is associated with visual and sensorimotor hemodynamic activity, respectively. These findings suggest that resting-state EEG signals acquired in an fMRI scanner reflect a balance of top-down and bottom-up stimulus processing, even in the absence of an explicit task.
format article
author Michael S. Jacob
Brian J. Roach
Kaia S. Sargent
Daniel H. Mathalon
Judith M. Ford
author_facet Michael S. Jacob
Brian J. Roach
Kaia S. Sargent
Daniel H. Mathalon
Judith M. Ford
author_sort Michael S. Jacob
title Aperiodic measures of neural excitability are associated with anticorrelated hemodynamic networks at rest: A combined EEG-fMRI study
title_short Aperiodic measures of neural excitability are associated with anticorrelated hemodynamic networks at rest: A combined EEG-fMRI study
title_full Aperiodic measures of neural excitability are associated with anticorrelated hemodynamic networks at rest: A combined EEG-fMRI study
title_fullStr Aperiodic measures of neural excitability are associated with anticorrelated hemodynamic networks at rest: A combined EEG-fMRI study
title_full_unstemmed Aperiodic measures of neural excitability are associated with anticorrelated hemodynamic networks at rest: A combined EEG-fMRI study
title_sort aperiodic measures of neural excitability are associated with anticorrelated hemodynamic networks at rest: a combined eeg-fmri study
publisher Elsevier
publishDate 2021
url https://doaj.org/article/8e6ddca4c7de409a9303134ad5f79d4f
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