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Cortical responses to touch reflect subcortical integration of LTMR signals

Authors :
Alan J. Emanuel
Stefano Panzeri
Brendan P. Lehnert
David D. Ginty
Christopher D. Harvey
Source :
Nature. 600:680-685
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

Current models to explain how signals emanating from cutaneous mechanoreceptors generate representations of touch are based on comparisons of the tactile responses of mechanoreceptor subtypes and neurons in somatosensory cortex1–8. Here we used mouse genetic manipulations to investigate the contributions of peripheral mechanoreceptor subtypes to cortical responses to touch. Cortical neurons exhibited remarkably homogeneous and transient responses to skin indentation that resembled rapidly adapting (RA) low-threshold mechanoreceptor (LTMR) responses. Concurrent disruption of signals from both Aβ RA-LTMRs and Aβ slowly adapting (SA)-LTMRs eliminated cortical responses to light indentation forces. However, disruption of either LTMR subtype alone caused opposite shifts in cortical sensitivity but otherwise largely unaltered tactile responses, indicating that both subtypes contribute to normal cortical responses. Selective optogenetic activation of single action potentials in Aβ RA-LTMRs or Aβ SA-LTMRs drove low-latency responses in most mechanically sensitive cortical neurons. Similarly, most somatosensory thalamic neurons were also driven by activation of Aβ RA-LTMRs or Aβ SA-LTMRs. These findings support a model in which signals from physiologically distinct mechanoreceptor subtypes are extensively integrated and transformed within the subcortical somatosensory system to generate cortical representations of touch. Genetic manipulation of skin peripheral sensory neurons in mice shows that cortical neuron responses to touch reflect subcortical mixing of signals from both rapidly adapting and slowly adapting low-threshold mechanoreceptors.

Details

ISSN :
14764687 and 00280836
Volume :
600
Database :
OpenAIRE
Journal :
Nature
Accession number :
edsair.doi.dedup.....20cd5b1f79bf7dae294de162384d9f4f