A Computational Model of Functionally-distinct Cervical Vagus Nerve Fibers.
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
ISSN: 2694-0604
Titre abrégé: Annu Int Conf IEEE Eng Med Biol Soc
Pays: United States
ID NLM: 101763872
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
entrez:
6
10
2020
pubmed:
7
10
2020
medline:
24
10
2020
Statut:
ppublish
Résumé
Cervical vagus nerve stimulation (VNS) is a neuromodulation therapy used in the treatment of several chronic disorders. In order to maximize the therapeutic effectiveness of VNS, it has become increasingly important to deliver fiber-specific neurostimulation, so that undesired effects can be minimized. Assessing the activation of different vagal fiber types through electrical stimulation is therefore essential for developing fiber-selective VNS therapies. Towards this goal, we conducted in silico investigations using a generic model of functionally distinct nerve fibers and clinically relevant cuff electrodes using COMSOL. Our model is constrained by histological observations from rat cervical vagus nerves and its outputs are validated against averaged compound nerve action potentials (CNAPs) obtained from rat vagus nerve recordings. We propose this model as an effective tool to design fiber-specific stimulation protocols before testing them in experimental animals.
Identifiants
pubmed: 33018508
doi: 10.1109/EMBC44109.2020.9175855
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM