Cortical acetylcholine dynamics are predicted by cholinergic axon activity and behavior state

Acetylcholine (ACh) is thought to play a role in driving the rapid, spontaneous brain-state transitions that occur during wakefulness; however, the spatiotemporal properties of cortical ACh activity during these state changes are still unclear. We perform simultaneous imaging of GRAB-ACh sensors, GCaMP-expressing basal forebrain axons, and behavior to address this question. We observed a high correlation between axon and GRAB-ACh activity around periods of locomotion and pupil dilation. GRAB-ACh fluorescence could be accurately predicted from axonal activity alone, and local ACh activity decreased at farther distances from an axon. Deconvolution of GRAB-ACh traces allowed us to account for sensor kinetics and emphasized rapid clearance of small ACh transients. We trained a model to predict ACh from pupil size and running speed, which generalized well to unseen data. These results contribute to a growing understanding of the precise timing and spatial characteristics of cortical ACh during fast brain-state transitions.

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Publication Details

Journal
Cell Reports
Published
2024-10-01
DOI
https://doi.org/10.1016/j.celrep.2024.114808
Citations
12
Primary Topic
Photoreceptor and optogenetics research
Type
article
Field-Weighted Citation Impact
3.22

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article

Cortical acetylcholine dynamics are predicted by cholinergic axon activity and behavior state

Na Zhou, Guochuan Li, Francisco A. Blanco, Brandon Munn et al.
12 citations
Cell Reports
Photoreceptor and optogenetics research
3.22
article

Cortical acetylcholine dynamics are predicted by cholinergic axon activity and behavior state

Na Zhou, Guochuan Li, Francisco A. Blanco, Brandon Munn, James M. Shine, Zakir Mridha, Cameron Smith, Erin Neyhart, Robert Law, Jacob Reimer, Matthew J. McGinley, Yulong Li, Ming Hu
article en
12 citations

Abstract

Acetylcholine (ACh) is thought to play a role in driving the rapid, spontaneous brain-state transitions that occur during wakefulness; however, the spatiotemporal properties of cortical ACh activity during these state changes are still unclear. We perform simultaneous imaging of GRAB-ACh sensors, GCaMP-expressing basal forebrain axons, and behavior to address this question. We observed a high correlation between axon and GRAB-ACh activity around periods of locomotion and pupil dilation. GRAB-ACh fluorescence could be accurately predicted from axonal activity alone, and local ACh activity decreased at farther distances from an axon. Deconvolution of GRAB-ACh traces allowed us to account for sensor kinetics and emphasized rapid clearance of small ACh transients. We trained a model to predict ACh from pupil size and running speed, which generalized well to unseen data. These results contribute to a growing understanding of the precise timing and spatial characteristics of cortical ACh during fast brain-state transitions.

Cell ReportsVol. 43(10)
The University of Sydney (AU), Baylor College of Medicine (US), Peking University (CN), Chinese Institute for Brain Research (CN), Center for Life Sciences (CN)
National Institutes of Health, Medical Research Council, National Health and Medical Research Council, National Science Fund for Distinguished Young Scholars, National Institute on Deafness and Other Communication Disorders, National Institute of Diabetes and Digestive and Kidney Diseases, Office of Research on Women's Health
Good health and well-being
Openalex Percentile: Top 7%
Photoreceptor and optogenetics research
3.22
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