A non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior.
| Autor: | Parks DF; Department of Biomolecular Engineering, University of California, Santa Cruz., Schneider AM; Department of Biology, Washington University in Saint Louis., Xu Y; Department of Biology, Washington University in Saint Louis., Brunwasser SJ; Department of Biology, Washington University in Saint Louis., Funderburk S; Department of Biology, Washington University in Saint Louis., Thurber D; Exeter, NH., Blanche T; White Matter LLC, Seattle, WA., Dyer EL; Department of Biomedical Engineering, Georgia Tech, Atlanta GA., Haussler D; Department of Biomolecular Engineering, University of California, Santa Cruz., Hengen KB; Department of Biology, Washington University in Saint Louis. |
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| Jazyk: | angličtina |
| Zdroj: | BioRxiv : the preprint server for biology [bioRxiv] 2023 Jun 27. Date of Electronic Publication: 2023 Jun 27. |
| DOI: | 10.1101/2023.06.09.544399 |
| Abstrakt: | 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. Competing Interests: Competing Interests No competing interests disclosed |
| Databáze: | MEDLINE |
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