Mechanical and Thermal Stimulation for Studying the Somatosensory System: a Review on Devices and Methods.

ex-vivo stimulation in-vivo stimulation mechanical stimulation somatosensory system thermal stimulation

Journal

Journal of neural engineering
ISSN: 1741-2552
Titre abrégé: J Neural Eng
Pays: England
ID NLM: 101217933

Informations de publication

Date de publication:
20 Aug 2024
Historique:
medline: 21 8 2024
pubmed: 21 8 2024
entrez: 20 8 2024
Statut: aheadofprint

Résumé

The somatosensory system is widely studied to understand its functioning mechanisms. Multiple tests, based on different devices and methods, have been performed not only on humans but also on animals and ex-vivo models. Depending on the nature of the sample under analysis and on the scientific aims of interest, several solutions for experimental stimulation and for investigations on sensation or pain have been adopted. In this review paper, an overview of the available devices and methods has been reported, also analyzing the representative values adopted during literature experiments. Among the various physical stimulations used to study the somatosensory system, we focused only on mechanical and thermal ones. Based on the analysis of their main features and on literature studies, we pointed out the most suitable solution for humans, rodents, and ex-vivo models and investigation aims (sensation and pain).

Identifiants

pubmed: 39163886
doi: 10.1088/1741-2552/ad716d
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Creative Commons Attribution license.

Auteurs

Marika Sperduti (M)

Research Unit of Advanced Robotics and Human-Centered Technologies, Università Campus Bio-Medico di Roma Facoltà Dipartimentale di Ingegneria, Via Alvaro del Portillo 21, Roma, 00128, ITALY.

Nevio Luigi Tagliamonte (NL)

Università Campus Bio-Medico di Roma Facoltà Dipartimentale di Ingegneria, Via Alvaro del Portillo 21, Roma, Lazio, 00128, ITALY.

Fabrizio Taffoni (F)

Università Campus Bio-Medico di Roma, Via Alvaro del Portillo 21, Roma, 00128, ITALY.

Eugenio Guglielmelli (E)

Laboratory of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma Facoltà Dipartimentale di Ingegneria, Via Alvaro del Portillo 21, Roma, Lazio, 00128, ITALY.

Loredana Zollo (L)

Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, Roma, 00128, ITALY.

Classifications MeSH