Optimizing Dosing of Vagus Nerve Stimulation for Stroke Recovery.


Journal

Translational stroke research
ISSN: 1868-601X
Titre abrégé: Transl Stroke Res
Pays: United States
ID NLM: 101517297

Informations de publication

Date de publication:
02 2021
Historique:
received: 10 01 2020
accepted: 14 06 2020
revised: 27 05 2020
pubmed: 26 6 2020
medline: 10 11 2021
entrez: 26 6 2020
Statut: ppublish

Résumé

Vagus nerve stimulation (VNS) paired with rehabilitative training enhances recovery of function in models of stroke and is currently under investigation for use in chronic stroke patients. Dosing is critical in translation of pharmacological therapies, but electrical stimulation therapies often fail to comprehensively explore dosing parameters in preclinical studies. Varying VNS parameters has non-monotonic effects on plasticity in the central nervous system, which may directly impact efficacy for stroke. We sought to optimize stimulation intensity to maximize recovery of motor function in a model of ischemic stroke. The study design was preregistered prior to beginning data collection (DOI: https://doi.org/10.17605/OSF.IO/BMJEK ). After training on an automated assessment of forelimb function and receiving an ischemic lesion in motor cortex, rats were separated into groups that received rehabilitative training paired with VNS at distinct stimulation intensities (sham, 0.4 mA, 0.8 mA, or 1.6 mA). Moderate-intensity VNS at 0.8 mA enhanced recovery of function compared with all other groups. Neither 0.4 mA nor 1.6 mA VNS was sufficient to improve functional recovery compared with equivalent rehabilitation without VNS. These results demonstrate that moderate-intensity VNS delivered during rehabilitation improves recovery and defines an optimized intensity paradigm for clinical implementation of VNS therapy.

Identifiants

pubmed: 32583333
doi: 10.1007/s12975-020-00829-6
pii: 10.1007/s12975-020-00829-6
pmc: PMC7759576
mid: NIHMS1606884
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

65-71

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS085167
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS094384
Pays : United States
Organisme : NIH HHS
ID : R01 NS094384
Pays : United States
Organisme : NIH HHS
ID : R01 NS085167
Pays : United States
Organisme : NIH HHS
ID : R01 NS085167
Pays : United States
Organisme : NIH HHS
ID : R01 NS094384
Pays : United States

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Auteurs

David T Pruitt (DT)

Texas Biomedical Device Center, BSB11 800 W Campbell Rd, Richardson, TX, 75080, USA. dtp110020@utdallas.edu.

Tanya T Danaphongse (TT)

Texas Biomedical Device Center, BSB11 800 W Campbell Rd, Richardson, TX, 75080, USA.

Megan Lutchman (M)

Texas Biomedical Device Center, BSB11 800 W Campbell Rd, Richardson, TX, 75080, USA.

Nishi Patel (N)

Texas Biomedical Device Center, BSB11 800 W Campbell Rd, Richardson, TX, 75080, USA.

Priyanka Reddy (P)

Texas Biomedical Device Center, BSB11 800 W Campbell Rd, Richardson, TX, 75080, USA.

Vanesse Wang (V)

Texas Biomedical Device Center, BSB11 800 W Campbell Rd, Richardson, TX, 75080, USA.

Anjana Parashar (A)

Texas Biomedical Device Center, BSB11 800 W Campbell Rd, Richardson, TX, 75080, USA.

Robert L Rennaker (RL)

Texas Biomedical Device Center, BSB11 800 W Campbell Rd, Richardson, TX, 75080, USA.
Erik Jonsson School of Engineering and Computer Science, Richardson, TX, USA.

Michael P Kilgard (MP)

Texas Biomedical Device Center, BSB11 800 W Campbell Rd, Richardson, TX, 75080, USA.
School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA.

Seth A Hays (SA)

Texas Biomedical Device Center, BSB11 800 W Campbell Rd, Richardson, TX, 75080, USA.
Erik Jonsson School of Engineering and Computer Science, Richardson, TX, USA.

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