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The decision to move is influenced by sensory, attentional, and motivational cues.
One such cue is the quality of the tactile input, with noxious or unpleasant sensations
causing an animal to move away from the cue. Processing of painful and unpleasant
sensation in the cortex involves multiple brain regions, although the specific role
of the brain areas involved in voluntary, rather than reflexive movement away from
unpleasant stimuli is not well understood. Here, we focused on the medial subdivision
of secondary motor cortex, which is proposed to link sensory and contextual cues to
motor action, and tested its role in controlling voluntary movement in the context
of an aversive tactile cue. We designed a novel, 3D-printed tactile platform consisting
of innocuous (grid) and mildly noxious (spiked) surfaces (50:50 % of total area),
which enabled monitoring neuronal activity in the medial frontal cortex by two-photon
imaging during a sensory preference task in head-fixed mice. We found that freely
moving mice spent significantly less time on a spiked-surface, and that this preference
was eliminated by administration of a local anesthetic. At the neuronal level, individual
neurons were differentially modulated specific to the tactile surface encountered.
At the population level, the neuronal activity was analyzed in relation to the events
where mice chose to “stop-on” or “go-from” a specific tactile surface and when they
“switched” surfaces without stopping. Notably, each of these three scenarios showed
population activity that differed significantly between the grid and spiked tactile
surfaces. Collectively, these data provide evidence that tactile quality is encoded
within medial frontal cortex. The task pioneered in this study provides a valuable
tool to better evaluate mouse models of nociception and pain, using a voluntary task
that allows simultaneous recording of preference and choice. Grant support from NS109287
(G.A.), NS096246 (Y.U.), DK116624 (Y.U.) and NS113189 (Y.U.), the Iowa Neuroscience
Institute, and the Williams- Cannon faculty fellowship (G.A). A.K. was supported by
a predoctoral fellowship through NIH T32 Grant GM067795.
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© 2022 Published by Elsevier Inc.