Encoding of vibrotactile stimuli by mechanoreceptors in rodent glabrous skin.


Journal

The Journal of neuroscience : the official journal of the Society for Neuroscience
ISSN: 1529-2401
Titre abrégé: J Neurosci
Pays: United States
ID NLM: 8102140

Informations de publication

Date de publication:
08 Oct 2024
Historique:
received: 02 07 2024
revised: 26 09 2024
accepted: 01 10 2024
medline: 9 10 2024
pubmed: 9 10 2024
entrez: 8 10 2024
Statut: aheadofprint

Résumé

Somatosensory coding in rodents has been mostly studied in the whisker system and hairy skin, whereas the function of low-threshold mechanoreceptors (LTMRs) in rodent glabrous skin has received scant attention, unlike in primates where glabrous skin has been the focus. The relative activation of different LTMR subtypes carries information about vibrotactile stimuli, as does the rate and temporal patterning of LTMR spikes. Rate coding depends on the probability of a spike occurring on each stimulus cycle (reliability) whereas temporal coding depends on the timing of spikes relative to the stimulus cycle (precision). Using in vivo extracellular recordings in male rats and mice of either sex, we measured the reliability and precision of LTMR responses to tactile stimuli including sustained pressure and vibration. Similar to other species, rodent LTMRs were separated into rapid-adapting (RA) or slow-adapting (SA) based on their response to sustained pressure. However, unlike the dichotomous frequency preference characteristic of RA1 and RA2/Pacinian afferents in other species, rodent RAs fell along a continuum. Fitting generalized linear models (GLMs) to experimental data reproduced the reliability and precision of rodent RAs. The resulting model parameters highlight key mechanistic differences across the RA spectrum; specifically, the integration window of different RAs transitions from wide to narrow as tuning preferences across the population move from low to high frequencies. Our results show that rodent RAs can support both rate and temporal coding, but their heterogeneity suggests that co-activation patterns play a greater role in population coding than for dichotomously tuned primate RAs.

Identifiants

pubmed: 39379153
pii: JNEUROSCI.1252-24.2024
doi: 10.1523/JNEUROSCI.1252-24.2024
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 the authors.

Auteurs

Laura Medlock (L)

Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada.
Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada.

Dhekra Al-Basha (D)

Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada.
Department of Physiology, University of Toronto, Toronto, Ontario M5S 1A8, Canada.

Adel Halawa (A)

Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada.
Department of Physiology, University of Toronto, Toronto, Ontario M5S 1A8, Canada.

Christopher Dedek (C)

Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada.
Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada.

Stéphanie Ratté (S)

Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada.

Steven A Prescott (SA)

Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada.
Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada.
Department of Physiology, University of Toronto, Toronto, Ontario M5S 1A8, Canada.

Classifications MeSH