Evidence map›Paper›PMID 31126339›Full record

ArticleJournal of neuroengineering and rehabilitation2019

Large-scale changes in cortical dynamics triggered by repetitive somatosensory electrical stimulation.

April K Hishinuma, Tanuj Gulati, Mark J Burish, Karunesh Ganguly

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 37% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Movement-dependent electrical stimulation for volitional strengthening of cortical connections in behaving monkeys.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

April K HishinumaNeurology & Rehabilitation Service, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA.
Tanuj GulatiDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Mark J BurishDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Karunesh GangulyNeurology & Rehabilitation Service, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA. karunesh.ganguly@ucsf.edu.ORCID 0000-0002-2570-9943
San Francisco VA Medical Center · USCedars-Sinai Medical Center · USUniversity of California, San Francisco · US

Funding

Optimizing peripheral stimulation parameters to modulate the sensorimotor cortex for post-stroke motor recoveryR01MH111871 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANGULY, KARUNESH · 2016 to 2019
$2.0M
Development of circuit-based therapies for motor recovery after strokeK02NS093014 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANGULY, KARUNESH · 2015 to 2019
$921k
Closed-loop Brain Stimulation for Motor Recovery Post StrokeR00NS097620 · NINDS · CEDARS-SINAI MEDICAL CENTER · PI GULATI, TANUJ · 2019 to 2021
$747k
Closed-loop Brain Stimulation for Motor Recovery Post StrokeK99NS097620 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GULATI, TANUJ · 2017 to 2018
$176k
NIMH NIH HHS R01 MH111871NINDS NIH HHS K02 NS093014NINDS NIH HHS K99 NS097620NINDS NIH HHS R00 NS097620
6 · The paper itself

Abstract

backgroundRepetitive somatosensory electrical stimulation (SES) of forelimb peripheral nerves is a promising therapy; studies have shown that SES can improve motor function in stroke subjects with chronic deficits. However, little is known about how SES can directly modulate neural dynamics. Past studies using SES have primarily used noninvasive methods in human subjects. Here we used electrophysiological recordings from the rodent primary motor cortex (M1) to assess how SES affects neural dynamics at the level of single neurons as well as at the level of mesoscale dynamics.

methodsWe performed acute extracellular recordings in 7 intact adult Long Evans rats under ketamine-xylazine anesthesia while they received transcutaneous SES. We recorded single unit spiking and local field potentials (LFP) in the M1 contralateral to the stimulated arm. We then compared neural firing rate, spike-field coherence (SFC), and power spectral density (PSD) before and after stimulation.

resultsFollowing SES, the firing rate of a majority of neurons changed significantly from their respective baseline values. There was, however, a diversity of responses; some neurons increased while others decreased their firing rates. Interestingly, SFC, a measure of how a neuron's firing is coupled to mesoscale oscillatory dynamics, increased specifically in the δ-band, also known as the low frequency band (0.3- 4 Hz). This increase appeared to be driven by a change in the phase-locking of broad-spiking, putative pyramidal neurons. These changes in the low frequency range occurred without a significant change in the overall PSD.

conclusionsRepetitive SES significantly and persistently altered the local cortical dynamics of M1 neurons, changing both firing rates as well as the SFC magnitude in the δ-band. Thus, SES altered the neural firing and coupling to ongoing mesoscale dynamics. Our study provides evidence that SES can directly modulate cortical dynamics.

Indexed as

Action PotentialsAdultAnimalsElectric StimulationHumansMaleMotor CortexNeuronsRatsRats, Long-EvansSomatosensory CortexLow frequency oscillationsMotor cortexPeripheral nerveSomatosensory electrical stimulation (SES)Spiking dynamics

Identifiers

PMID31126339
PMCPMC6534962
OpenAlexW2946950440

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.