Coding of self and environment by Pacinian neurons in freely moving animals.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
07 Nov 2023
Historique:
pubmed: 25 9 2023
medline: 25 9 2023
entrez: 25 9 2023
Statut: epublish

Résumé

Pacinian corpuscle neurons are specialized low-threshold mechanoreceptors (LTMRs) that are tuned to detect high-frequency vibration (~40-2000 Hz), however it is unclear how Pacinians and other LTMRs encode mechanical forces encountered during naturalistic behavior. Here, we developed methods to record LTMRs in awake, freely moving mice. We find that Pacinians, but not other LTMRs, encode subtle vibrations of surfaces encountered by the animal, including low-amplitude vibrations initiated over two meters away. Strikingly, Pacinians are also highly active during a wide variety of natural behaviors, including walking, grooming, digging, and climbing. Pacinians in the hindlimb are sensitive enough to be activated by forelimb- or upper-body-dominant behaviors. Finally, we find that Pacinian LTMRs have diverse tuning and sensitivity. Our findings suggest a Pacinian population code for the representation of vibro-tactile features generated by self-initiated movements and low-amplitude environmental vibrations emanating from distant locations.

Identifiants

pubmed: 37745531
doi: 10.1101/2023.09.11.557225
pmc: PMC10515833
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NCCIH NIH HHS
ID : R01 AT011447
Pays : United States
Organisme : NINDS NIH HHS
ID : R35 NS097344
Pays : United States

Déclaration de conflit d'intérêts

Competing interests The authors declare no competing interests.

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Auteurs

Josef Turecek (J)

Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, 220 Longwood Avenue, Boston, MA 02115.

David D Ginty (DD)

Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, 220 Longwood Avenue, Boston, MA 02115.

Classifications MeSH