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A non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior

Sleep and wake are understood to be slow, long-lasting processes that span the entire brain. Brain states correlate with many neurophysiological changes, yet the most robust and reliable signature of state is enriched in rhythms between 0.1 and 20 Hz. The possibility that the fundamental unit of bra...

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Autores principales: Parks, David F., Schneider, Aidan M., Xu, Yifan, Brunwasser, Samuel J., Funderburk, Samuel, Thurber, Danilo, Blanche, Tim, Dyer, Eva L., Haussler, David, Hengen, Keith B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274881/
https://www.ncbi.nlm.nih.gov/pubmed/37333381
http://dx.doi.org/10.1101/2023.06.09.544399
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author Parks, David F.
Schneider, Aidan M.
Xu, Yifan
Brunwasser, Samuel J.
Funderburk, Samuel
Thurber, Danilo
Blanche, Tim
Dyer, Eva L.
Haussler, David
Hengen, Keith B.
author_facet Parks, David F.
Schneider, Aidan M.
Xu, Yifan
Brunwasser, Samuel J.
Funderburk, Samuel
Thurber, Danilo
Blanche, Tim
Dyer, Eva L.
Haussler, David
Hengen, Keith B.
author_sort Parks, David F.
collection PubMed
description Sleep and wake are understood to be slow, long-lasting processes that span the entire brain. Brain states correlate with many neurophysiological changes, yet the most robust and reliable signature of state is enriched in rhythms between 0.1 and 20 Hz. The possibility that the fundamental unit of brain state could be a reliable structure at the scale of milliseconds and microns has not been addressed due to the physical limits associated with oscillation-based definitions. Here, by analyzing high resolution neural activity recorded in 10 anatomically and functionally diverse regions of the murine brain over 24 h, we reveal a mechanistically distinct embedding of state in the brain. Sleep and wake states can be accurately classified from on the order of 10(0) to 10(1) ms of neuronal activity sampled from 100 μm of brain tissue. In contrast to canonical rhythms, this embedding persists above 1,000 Hz. This high frequency embedding is robust to substates and rapid events such as sharp wave ripples and cortical ON/OFF states. To ascertain whether such fast and local structure is meaningful, we leveraged our observation that individual circuits intermittently switch states independently of the rest of the brain. Brief state discontinuities in subsets of circuits correspond with brief behavioral discontinuities during both sleep and wake. Our results suggest that the fundamental unit of state in the brain is consistent with the spatial and temporal scale of neuronal computation, and that this resolution can contribute to an understanding of cognition and behavior.
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spelling pubmed-102748812023-06-17 A non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior Parks, David F. Schneider, Aidan M. Xu, Yifan Brunwasser, Samuel J. Funderburk, Samuel Thurber, Danilo Blanche, Tim Dyer, Eva L. Haussler, David Hengen, Keith B. bioRxiv Article Sleep and wake are understood to be slow, long-lasting processes that span the entire brain. Brain states correlate with many neurophysiological changes, yet the most robust and reliable signature of state is enriched in rhythms between 0.1 and 20 Hz. The possibility that the fundamental unit of brain state could be a reliable structure at the scale of milliseconds and microns has not been addressed due to the physical limits associated with oscillation-based definitions. Here, by analyzing high resolution neural activity recorded in 10 anatomically and functionally diverse regions of the murine brain over 24 h, we reveal a mechanistically distinct embedding of state in the brain. Sleep and wake states can be accurately classified from on the order of 10(0) to 10(1) ms of neuronal activity sampled from 100 μm of brain tissue. In contrast to canonical rhythms, this embedding persists above 1,000 Hz. This high frequency embedding is robust to substates and rapid events such as sharp wave ripples and cortical ON/OFF states. To ascertain whether such fast and local structure is meaningful, we leveraged our observation that individual circuits intermittently switch states independently of the rest of the brain. Brief state discontinuities in subsets of circuits correspond with brief behavioral discontinuities during both sleep and wake. Our results suggest that the fundamental unit of state in the brain is consistent with the spatial and temporal scale of neuronal computation, and that this resolution can contribute to an understanding of cognition and behavior. Cold Spring Harbor Laboratory 2023-06-27 /pmc/articles/PMC10274881/ /pubmed/37333381 http://dx.doi.org/10.1101/2023.06.09.544399 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
Parks, David F.
Schneider, Aidan M.
Xu, Yifan
Brunwasser, Samuel J.
Funderburk, Samuel
Thurber, Danilo
Blanche, Tim
Dyer, Eva L.
Haussler, David
Hengen, Keith B.
A non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior
title A non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior
title_full A non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior
title_fullStr A non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior
title_full_unstemmed A non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior
title_short A non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior
title_sort non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274881/
https://www.ncbi.nlm.nih.gov/pubmed/37333381
http://dx.doi.org/10.1101/2023.06.09.544399
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