title: Acetylcholine functionally reorganizes neocortical microcircuits.
abstract: Sensory information is processed and transmitted through the synaptic structure of local cortical circuits, but it is unclear how modulation of this architecture influences the cortical representation of sensory stimuli. Acetylcholine (ACh) promotes attention and arousal and is thought to increase the signal-to-noise ratio of sensory input in primary sensory cortices. Using high-speed two-photon calcium imaging in a thalamocortical somatosensory slice preparation, we recorded action potential activity of up to 900 neurons simultaneously and compared local cortical circuit activations with and without bath presence of ACh. We found that ACh reduced weak pairwise relationships and excluded neurons that were already unreliable during circuit activity. Using action potential activity from the imaged population, we generated functional wiring diagrams based on the statistical dependencies of activity between neurons. ACh pruned weak functional connections from spontaneous circuit activations and yielded a more modular and hierarchical circuit structure, which biased activity to flow in a more feedforward fashion. Neurons that were active in response to thalamic input had reduced pairwise dependencies overall, but strong correlations were conserved. This coincided with a prolonged period during which neurons showed temporally precise responses to thalamic input. Our results demonstrate that ACh reorganizes functional circuit structure in a manner that may enhance the integration and discriminability of thalamic afferent input within local neocortical circuitry.
authors.affiliation: Committee on Computational Neuroscience, University of Chicago, Chicago, Illinois; and.
authors.forename: Melissa J
authors.initials: MJ
authors.lastname: Runfeldt
authors.affiliation: Committee on Computational Neuroscience, University of Chicago, Chicago, Illinois; and.
authors.forename: Alexander J
authors.initials: AJ
authors.lastname: Sadovsky
authors.affiliation: Committee on Computational Neuroscience, University of Chicago, Chicago, Illinois; and Department of Neurobiology, University of Chicago, Chicago, Illinois jmaclean@uchicago.edu.
authors.forename: Jason N
authors.initials: JN
authors.lastname: MacLean
mesh_terms: D000109:Acetylcholine / Q000494:pharmacology / Q000502:physiology*; D000818:Animals; D005260:Female; D008297:Male; D051379:Mice; D008810:Mice, Inbred C57BL; D009434:Neural Pathways / Q000187:drug effects / Q000502:physiology; D009474:Neurons / Q000187:drug effects / Q000502:physiology*; D013003:Somatosensory Cortex / Q000187:drug effects / Q000502:physiology*; D013788:Thalamus / Q000187:drug effects / Q000502:physiology*
chemical_list: D000109:Acetylcholine
keywords: acetylcholine; cortex; functional connectivity; graph theory; thalamus; two-photon imaging