Cortical correlation structure of aperiodic neuronal population activity

Electrophysiological population signals contain oscillatory and non-oscillatory aperiodic (1/frequency-like) components. So far research has largely focused on oscillatory activity, and only recently, interest in aperiodic population activity has gained momentum. Accordingly, while the cortical corr...

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Autores principales: Andrea Ibarra Chaoul, Markus Siegel
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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MEG
Acceso en línea:https://doaj.org/article/2825c4b3151d474a8bba29a52499dc4f
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spelling oai:doaj.org-article:2825c4b3151d474a8bba29a52499dc4f2021-11-04T04:26:43ZCortical correlation structure of aperiodic neuronal population activity1095-957210.1016/j.neuroimage.2021.118672https://doaj.org/article/2825c4b3151d474a8bba29a52499dc4f2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1053811921009459https://doaj.org/toc/1095-9572Electrophysiological population signals contain oscillatory and non-oscillatory aperiodic (1/frequency-like) components. So far research has largely focused on oscillatory activity, and only recently, interest in aperiodic population activity has gained momentum. Accordingly, while the cortical correlation structure of oscillatory population activity has been characterized, little is known about the correlation of aperiodic neuronal activity. To address this, we investigated aperiodic neuronal population activity in the human brain using resting-state magnetoencephalography (MEG). We combined source-analysis, signal orthogonalization and irregular-resampling auto-spectral analysis (IRASA) to systematically characterize the cortical distribution and correlation of aperiodic neuronal activity. We found that aperiodic population activity is robustly correlated across the cortex and that this correlation is spatially well structured. Furthermore, we found that the cortical correlation structure of aperiodic activity is similar but distinct from the correlation structure of oscillatory neuronal activity. Anterior cortical regions showed the strongest differences between oscillatory and aperiodic correlation patterns. Our results suggest that correlations of aperiodic population activity serve as robust markers of cortical network interactions. Furthermore, our results show that aperiodic and oscillatory signal components provide non-redundant information about large-scale neuronal correlations. This may reflect at least partly distinct neuronal mechanisms underlying and reflected by oscillatory and aperiodic neuronal population activity.Andrea Ibarra ChaoulMarkus SiegelElsevierarticleHuman brainNeuronal couplingOscillationsAperiodic1/frequencyMEGNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENNeuroImage, Vol 245, Iss , Pp 118672- (2021)
institution DOAJ
collection DOAJ
language EN
topic Human brain
Neuronal coupling
Oscillations
Aperiodic
1/frequency
MEG
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
spellingShingle Human brain
Neuronal coupling
Oscillations
Aperiodic
1/frequency
MEG
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Andrea Ibarra Chaoul
Markus Siegel
Cortical correlation structure of aperiodic neuronal population activity
description Electrophysiological population signals contain oscillatory and non-oscillatory aperiodic (1/frequency-like) components. So far research has largely focused on oscillatory activity, and only recently, interest in aperiodic population activity has gained momentum. Accordingly, while the cortical correlation structure of oscillatory population activity has been characterized, little is known about the correlation of aperiodic neuronal activity. To address this, we investigated aperiodic neuronal population activity in the human brain using resting-state magnetoencephalography (MEG). We combined source-analysis, signal orthogonalization and irregular-resampling auto-spectral analysis (IRASA) to systematically characterize the cortical distribution and correlation of aperiodic neuronal activity. We found that aperiodic population activity is robustly correlated across the cortex and that this correlation is spatially well structured. Furthermore, we found that the cortical correlation structure of aperiodic activity is similar but distinct from the correlation structure of oscillatory neuronal activity. Anterior cortical regions showed the strongest differences between oscillatory and aperiodic correlation patterns. Our results suggest that correlations of aperiodic population activity serve as robust markers of cortical network interactions. Furthermore, our results show that aperiodic and oscillatory signal components provide non-redundant information about large-scale neuronal correlations. This may reflect at least partly distinct neuronal mechanisms underlying and reflected by oscillatory and aperiodic neuronal population activity.
format article
author Andrea Ibarra Chaoul
Markus Siegel
author_facet Andrea Ibarra Chaoul
Markus Siegel
author_sort Andrea Ibarra Chaoul
title Cortical correlation structure of aperiodic neuronal population activity
title_short Cortical correlation structure of aperiodic neuronal population activity
title_full Cortical correlation structure of aperiodic neuronal population activity
title_fullStr Cortical correlation structure of aperiodic neuronal population activity
title_full_unstemmed Cortical correlation structure of aperiodic neuronal population activity
title_sort cortical correlation structure of aperiodic neuronal population activity
publisher Elsevier
publishDate 2021
url https://doaj.org/article/2825c4b3151d474a8bba29a52499dc4f
work_keys_str_mv AT andreaibarrachaoul corticalcorrelationstructureofaperiodicneuronalpopulationactivity
AT markussiegel corticalcorrelationstructureofaperiodicneuronalpopulationactivity
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