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EEG Signals Index a Global Signature of Arousal Embedded in Neuronal Population Recordings
Electroencephalography (EEG) has long been used to index brain states, from early studies describing activity in the presence and absence of visual stimulation to modern work employing complex perceptual tasks. These studies have shed light on brain-wide signals but often lack explanatory power at t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186107/ https://www.ncbi.nlm.nih.gov/pubmed/35606150 http://dx.doi.org/10.1523/ENEURO.0012-22.2022 |
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author | Johnston, Richard Snyder, Adam C. Schibler, Rachel S. Smith, Matthew A. |
author_facet | Johnston, Richard Snyder, Adam C. Schibler, Rachel S. Smith, Matthew A. |
author_sort | Johnston, Richard |
collection | PubMed |
description | Electroencephalography (EEG) has long been used to index brain states, from early studies describing activity in the presence and absence of visual stimulation to modern work employing complex perceptual tasks. These studies have shed light on brain-wide signals but often lack explanatory power at the single neuron level. Similarly, single neuron recordings can suffer from an inability to measure brain-wide signals accessible using EEG. Here, we combined these techniques while monkeys performed a change detection task and discovered a novel link between spontaneous EEG activity and a neural signal embedded in the spiking responses of neuronal populations. This “slow drift” was associated with fluctuations in the subjects’ arousal levels over time: decreases in prestimulus α power were accompanied by increases in pupil size and decreases in microsaccade rate. These results show that brain-wide EEG signals can be used to index modes of activity present in single neuron recordings, that in turn reflect global changes in brain state that influence perception and behavior. |
format | Online Article Text |
id | pubmed-9186107 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-91861072022-06-13 EEG Signals Index a Global Signature of Arousal Embedded in Neuronal Population Recordings Johnston, Richard Snyder, Adam C. Schibler, Rachel S. Smith, Matthew A. eNeuro Research Article: New Research Electroencephalography (EEG) has long been used to index brain states, from early studies describing activity in the presence and absence of visual stimulation to modern work employing complex perceptual tasks. These studies have shed light on brain-wide signals but often lack explanatory power at the single neuron level. Similarly, single neuron recordings can suffer from an inability to measure brain-wide signals accessible using EEG. Here, we combined these techniques while monkeys performed a change detection task and discovered a novel link between spontaneous EEG activity and a neural signal embedded in the spiking responses of neuronal populations. This “slow drift” was associated with fluctuations in the subjects’ arousal levels over time: decreases in prestimulus α power were accompanied by increases in pupil size and decreases in microsaccade rate. These results show that brain-wide EEG signals can be used to index modes of activity present in single neuron recordings, that in turn reflect global changes in brain state that influence perception and behavior. Society for Neuroscience 2022-06-07 /pmc/articles/PMC9186107/ /pubmed/35606150 http://dx.doi.org/10.1523/ENEURO.0012-22.2022 Text en Copyright © 2022 Johnston et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Research Article: New Research Johnston, Richard Snyder, Adam C. Schibler, Rachel S. Smith, Matthew A. EEG Signals Index a Global Signature of Arousal Embedded in Neuronal Population Recordings |
title | EEG Signals Index a Global Signature of Arousal Embedded in Neuronal Population Recordings |
title_full | EEG Signals Index a Global Signature of Arousal Embedded in Neuronal Population Recordings |
title_fullStr | EEG Signals Index a Global Signature of Arousal Embedded in Neuronal Population Recordings |
title_full_unstemmed | EEG Signals Index a Global Signature of Arousal Embedded in Neuronal Population Recordings |
title_short | EEG Signals Index a Global Signature of Arousal Embedded in Neuronal Population Recordings |
title_sort | eeg signals index a global signature of arousal embedded in neuronal population recordings |
topic | Research Article: New Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186107/ https://www.ncbi.nlm.nih.gov/pubmed/35606150 http://dx.doi.org/10.1523/ENEURO.0012-22.2022 |
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