Evidence map›Paper›PMID 38352490›Full record

ArticleResearch square2024

Neural Mechanisms Responsible for Vagus Nerve Stimulation-Dependent Enhancement of Somatosensory Recovery.

Kaitlyn M Malley, Andrea D Ruiz, Michael J Darrow, Tanya Danaphongse, Stephanie Shiers, Fatima N Ahmad, Clareth Mota Beltran, Benjamin T Stanislav, Theodore Price, Robert L Rennaker Ii and 2 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Kaitlyn M Malley
Andrea D Ruiz
Michael J Darrow
Tanya Danaphongse
Stephanie Shiers
Fatima N Ahmad
Clareth Mota Beltran
Benjamin T Stanislav
Theodore Price
Robert L Rennaker Ii
Michael P Kilgard
Seth A Hays
The University of Texas at Dallas · US

Funding

Evaluation of the Neuromodulatory Mechanisms of Vagus Nerve Stimulation to Improve Motor Rehabilitation after StrokeR01NS094384 · NINDS · UNIVERSITY OF TEXAS DALLAS · PI HAYS, SETH ALANSON · 2016 to 2020
$1.7M
NINDS NIH HHS R01 NS094384
6 · The paper itself

Abstract

Impairments in somatosensory function are a common and often debilitating consequence of neurological injury, with few effective interventions. Building on success in rehabilitation for motor dysfunction, the delivery of vagus nerve stimulation (VNS) combined with tactile rehabilitation has emerged as a potential approach to enhance recovery of somatosensation. In order to maximize the effectiveness of VNS therapy and promote translation to clinical implementation, we sought to optimize the stimulation paradigm and identify neural mechanisms that underlie VNS-dependent recovery. To do so, we characterized the effect of tactile rehabilitation combined with VNS across a range of stimulation intensities on recovery of somatosensory function in a rat model of chronic sensory loss in the forelimb. Consistent with previous studies in other applications, we find that moderate intensity VNS yields the most effective restoration of somatosensation, and both lower and higher VNS intensities fail to enhance recovery compared to rehabilitation without VNS. We next used the optimized intensity to evaluate the mechanisms that underlie recovery. We find that moderate intensity VNS enhances transcription of Arc, a canonical mediator of synaptic plasticity, in the cortex, and that transcript levels were correlated with the degree of somatosensory recovery. Moreover, we observe that blocking plasticity by depleting acetylcholine in the cortex prevents the VNS-dependent enhancement of somatosensory recovery. Collectively, these findings identify neural mechanisms that subserve VNS-dependent somatosensation recovery and provide a basis for selecting optimal stimulation parameters in order to facilitate translation of this potential intervention.

Identifiers

PMID38352490
PMCPMC10862979
OpenAlexW4391321808

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.