Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent

A hallmark of electrophysiological brain activity is its 1/f-like spectrum – power decreases with increasing frequency. The steepness of this ‘roll-off’ is approximated by the spectral exponent, which in invasively recorded neural populations reflects the balance of excitatory to inhibitory neural a...

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Autores principales:	Leonhard Waschke, Thomas Donoghue, Lorenz Fiedler, Sydney Smith, Douglas D Garrett, Bradley Voytek, Jonas Obleser
Formato:	article
Lenguaje:	EN
Publicado:	eLife Sciences Publications Ltd 2021
Materias:	human electrophysiology EEG Medicine R Science Q Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/93aeb067c24743a4bcc83d5d347fbcf9
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spelling	oai:doaj.org-article:93aeb067c24743a4bcc83d5d347fbcf92021-11-11T15:33:27ZModality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent10.7554/eLife.700682050-084Xe70068https://doaj.org/article/93aeb067c24743a4bcc83d5d347fbcf92021-10-01T00:00:00Zhttps://elifesciences.org/articles/70068https://doaj.org/toc/2050-084XA hallmark of electrophysiological brain activity is its 1/f-like spectrum – power decreases with increasing frequency. The steepness of this ‘roll-off’ is approximated by the spectral exponent, which in invasively recorded neural populations reflects the balance of excitatory to inhibitory neural activity (E:I balance). Here, we first establish that the spectral exponent of non-invasive electroencephalography (EEG) recordings is highly sensitive to general (i.e., anaesthesia-driven) changes in E:I balance. Building on the EEG spectral exponent as a viable marker of E:I, we then demonstrate its sensitivity to the focus of selective attention in an EEG experiment during which participants detected targets in simultaneous audio-visual noise. In addition to these endogenous changes in E:I balance, EEG spectral exponents over auditory and visual sensory cortices also tracked auditory and visual stimulus spectral exponents, respectively. Individuals’ degree of this selective stimulus–brain coupling in spectral exponents predicted behavioural performance. Our results highlight the rich information contained in 1/f-like neural activity, providing a window into diverse neural processes previously thought to be inaccessible in non-invasive human recordings.Leonhard WaschkeThomas DonoghueLorenz FiedlerSydney SmithDouglas D GarrettBradley VoytekJonas OblesereLife Sciences Publications LtdarticlehumanelectrophysiologyEEGMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	human electrophysiology EEG Medicine R Science Q Biology (General) QH301-705.5
spellingShingle	human electrophysiology EEG Medicine R Science Q Biology (General) QH301-705.5 Leonhard Waschke Thomas Donoghue Lorenz Fiedler Sydney Smith Douglas D Garrett Bradley Voytek Jonas Obleser Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent
description	A hallmark of electrophysiological brain activity is its 1/f-like spectrum – power decreases with increasing frequency. The steepness of this ‘roll-off’ is approximated by the spectral exponent, which in invasively recorded neural populations reflects the balance of excitatory to inhibitory neural activity (E:I balance). Here, we first establish that the spectral exponent of non-invasive electroencephalography (EEG) recordings is highly sensitive to general (i.e., anaesthesia-driven) changes in E:I balance. Building on the EEG spectral exponent as a viable marker of E:I, we then demonstrate its sensitivity to the focus of selective attention in an EEG experiment during which participants detected targets in simultaneous audio-visual noise. In addition to these endogenous changes in E:I balance, EEG spectral exponents over auditory and visual sensory cortices also tracked auditory and visual stimulus spectral exponents, respectively. Individuals’ degree of this selective stimulus–brain coupling in spectral exponents predicted behavioural performance. Our results highlight the rich information contained in 1/f-like neural activity, providing a window into diverse neural processes previously thought to be inaccessible in non-invasive human recordings.
format	article
author	Leonhard Waschke Thomas Donoghue Lorenz Fiedler Sydney Smith Douglas D Garrett Bradley Voytek Jonas Obleser
author_facet	Leonhard Waschke Thomas Donoghue Lorenz Fiedler Sydney Smith Douglas D Garrett Bradley Voytek Jonas Obleser
author_sort	Leonhard Waschke
title	Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent
title_short	Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent
title_full	Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent
title_fullStr	Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent
title_full_unstemmed	Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent
title_sort	modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent
publisher	eLife Sciences Publications Ltd
publishDate	2021
url	https://doaj.org/article/93aeb067c24743a4bcc83d5d347fbcf9
work_keys_str_mv	AT leonhardwaschke modalityspecifictrackingofattentionandsensorystatisticsinthehumanelectrophysiologicalspectralexponent AT thomasdonoghue modalityspecifictrackingofattentionandsensorystatisticsinthehumanelectrophysiologicalspectralexponent AT lorenzfiedler modalityspecifictrackingofattentionandsensorystatisticsinthehumanelectrophysiologicalspectralexponent AT sydneysmith modalityspecifictrackingofattentionandsensorystatisticsinthehumanelectrophysiologicalspectralexponent AT douglasdgarrett modalityspecifictrackingofattentionandsensorystatisticsinthehumanelectrophysiologicalspectralexponent AT bradleyvoytek modalityspecifictrackingofattentionandsensorystatisticsinthehumanelectrophysiologicalspectralexponent AT jonasobleser modalityspecifictrackingofattentionandsensorystatisticsinthehumanelectrophysiologicalspectralexponent
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Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent

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