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Intrinsic forebrain arousal dynamics governs sensory stimulus encoding
The neural encoding of sensory stimuli is subject to the brain’s internal circuit dynamics. Recent work has demonstrated that the resting brain exhibits widespread, coordinated activity that plays out over multisecond timescales in the form of quasi-periodic spiking cascades. Here we demonstrate tha...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659438/ https://www.ncbi.nlm.nih.gov/pubmed/37986990 http://dx.doi.org/10.1101/2023.10.04.560900 |
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author | Yang, Yifan Leopold, David A. Duyn, Jeff H. Sipe, Grayson O. Liu, Xiao |
author_facet | Yang, Yifan Leopold, David A. Duyn, Jeff H. Sipe, Grayson O. Liu, Xiao |
author_sort | Yang, Yifan |
collection | PubMed |
description | The neural encoding of sensory stimuli is subject to the brain’s internal circuit dynamics. Recent work has demonstrated that the resting brain exhibits widespread, coordinated activity that plays out over multisecond timescales in the form of quasi-periodic spiking cascades. Here we demonstrate that these intrinsic dynamics persist during the presentation of visual stimuli and markedly influence the efficacy of feature encoding in the visual cortex. During periods of passive viewing, the sensory encoding of visual stimuli was determined by quasi-periodic cascade cycle evolving over several seconds. During this cycle, high efficiency encoding occurred during peak arousal states, alternating in time with hippocampal ripples, which were most frequent in low arousal states. However, during bouts of active locomotion, these arousal dynamics were abolished: the brain remained in a state in which visual coding efficiency remained high and ripples were absent. We hypothesize that the brain’s observed dynamics during awake, passive viewing reflect an adaptive cycle of alternating exteroceptive sensory sampling and internal mnemonic function. |
format | Online Article Text |
id | pubmed-10659438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-106594382023-11-20 Intrinsic forebrain arousal dynamics governs sensory stimulus encoding Yang, Yifan Leopold, David A. Duyn, Jeff H. Sipe, Grayson O. Liu, Xiao bioRxiv Article The neural encoding of sensory stimuli is subject to the brain’s internal circuit dynamics. Recent work has demonstrated that the resting brain exhibits widespread, coordinated activity that plays out over multisecond timescales in the form of quasi-periodic spiking cascades. Here we demonstrate that these intrinsic dynamics persist during the presentation of visual stimuli and markedly influence the efficacy of feature encoding in the visual cortex. During periods of passive viewing, the sensory encoding of visual stimuli was determined by quasi-periodic cascade cycle evolving over several seconds. During this cycle, high efficiency encoding occurred during peak arousal states, alternating in time with hippocampal ripples, which were most frequent in low arousal states. However, during bouts of active locomotion, these arousal dynamics were abolished: the brain remained in a state in which visual coding efficiency remained high and ripples were absent. We hypothesize that the brain’s observed dynamics during awake, passive viewing reflect an adaptive cycle of alternating exteroceptive sensory sampling and internal mnemonic function. Cold Spring Harbor Laboratory 2023-10-06 /pmc/articles/PMC10659438/ /pubmed/37986990 http://dx.doi.org/10.1101/2023.10.04.560900 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Yang, Yifan Leopold, David A. Duyn, Jeff H. Sipe, Grayson O. Liu, Xiao Intrinsic forebrain arousal dynamics governs sensory stimulus encoding |
title | Intrinsic forebrain arousal dynamics governs sensory stimulus encoding |
title_full | Intrinsic forebrain arousal dynamics governs sensory stimulus encoding |
title_fullStr | Intrinsic forebrain arousal dynamics governs sensory stimulus encoding |
title_full_unstemmed | Intrinsic forebrain arousal dynamics governs sensory stimulus encoding |
title_short | Intrinsic forebrain arousal dynamics governs sensory stimulus encoding |
title_sort | intrinsic forebrain arousal dynamics governs sensory stimulus encoding |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659438/ https://www.ncbi.nlm.nih.gov/pubmed/37986990 http://dx.doi.org/10.1101/2023.10.04.560900 |
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