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Cortical acetylcholine dynamics are predicted by cholinergic axon activity and behavior state.
Neyhart, Erin; Zhou, Na; Munn, Brandon R; Law, Robert G; Smith, Cameron; Mridha, Zakir H; Blanco, Francisco A; Li, Guochuan; Li, Yulong; McGinley, Matthew J; Shine, James M; Reimer, Jacob.
Afiliación
  • Neyhart E; Neuroscience Department, Baylor College of Medicine, Houston, Texas, USA.
  • Zhou N; Neuroscience Department, Baylor College of Medicine, Houston, Texas, USA.
  • Munn BR; Brain and Mind Centre, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Australia.
  • Law RG; Complex Systems Group, School of Physics, Faculty of Science, The University of Sydney, Australia.
  • Smith C; Neuroscience Department, Baylor College of Medicine, Houston, Texas, USA.
  • Mridha ZH; Neuroscience Department, Baylor College of Medicine, Houston, Texas, USA.
  • Blanco FA; Neuroscience Department, Baylor College of Medicine, Houston, Texas, USA.
  • Li G; Neuroscience Department, Baylor College of Medicine, Houston, Texas, USA.
  • Li Y; State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing, China.
  • McGinley MJ; PKU-IDG/McGovern Institute for Brain Research, Beijing, China.
  • Shine JM; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
  • Reimer J; State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing, China.
bioRxiv ; 2024 Feb 01.
Article en En | MEDLINE | ID: mdl-38352527
ABSTRACT
Even under spontaneous conditions and in the absence of changing environmental demands, awake animals alternate between increased or decreased periods of alertness. These changes in brain state can occur rapidly, on a timescale of seconds, and neuromodulators such as acetylcholine (ACh) are thought to play an important role in driving these spontaneous state transitions. Here, we perform the first simultaneous imaging of ACh sensors and GCaMP-expressing axons in vivo, to examine the spatiotemporal properties of cortical ACh activity and release during spontaneous changes in behavioral state. We observed a high correlation between simultaneously recorded basal forebrain axon activity and neuromodulator sensor fluorescence around periods of locomotion and pupil dilation. Consistent with volume transmission of ACh, increases in axon activity were accompanied by increases in local ACh levels that fell off with the distance from the nearest axon. GRAB-ACh fluorescence could be accurately predicted from axonal activity alone, providing the first validation that neuromodulator axon activity is a reliable proxy for nearby neuromodulator levels. Deconvolution of fluorescence traces allowed us to account for the kinetics of the GRAB-ACh sensor and emphasized the rapid clearance of ACh for smaller transients outside of running periods. Finally, we trained a predictive model of ACh fluctuations from the combination of pupil size and running speed; this model performed better than using either variable alone, and generalized well to unseen data. Overall, these results contribute to a growing understanding of the precise timing and spatial characteristics of cortical ACh during fast brain state transitions.

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article