Evidence map›Paper›PMID 33571430›Full record

ArticleCell2021

Low-frequency stimulation enhances ensemble co-firing and dexterity after stroke.

Preeya Khanna, Douglas Totten, Lisa Novik, Jeffrey Roberts, Robert J Morecraft, Karunesh Ganguly

Open access · greenAbstract read
In one paragraph

Article in Cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Cognitive functions of the GPe.Trends in neurosciences · 2026
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  18. Repeated tDCS at Clinically Relevant Field Intensity Can Boost Concurrent Motor Learning in Rats.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
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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

6 authors at 3 institutions in 1 country.

Preeya KhannaDepartment of Neurology, University of California, San Francisco, San Francisco, CA 94158, USA; California National Primate Research Center, University of California, Davis, Davis, CA 95616, USA.
Douglas TottenDepartment of Neurology, University of California, San Francisco, San Francisco, CA 94158, USA; California National Primate Research Center, University of California, Davis, Davis, CA 95616, USA.
Lisa NovikCalifornia National Primate Research Center, University of California, Davis, Davis, CA 95616, USA.
Jeffrey RobertsCalifornia National Primate Research Center, University of California, Davis, Davis, CA 95616, USA.
Robert J MorecraftLaboratory of Neurological Sciences, Division of Basic Biomedical Sciences, Sanford School of Medicine, The University of South Dakota, Vermillion, SD 57069, USA.
Karunesh GangulyDepartment of Neurology, University of California, San Francisco, San Francisco, CA 94158, USA; California National Primate Research Center, University of California, Davis, Davis, CA 95616, USA. Electronic address: karunesh.ganguly@ucsf.edu.
University of California, San Francisco · USUniversity of California, Davis · USUniversity of South Dakota · US

Funding

Optimizing oscillatory epidural electrical stimulation to selectively increase task-related population dynamics in motor areasR01NS117406 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANGULY, KARUNESH, MORRISON, JOHN H · 2020 to 2024
$3.4M
Modulating Low-Frequency Cortical Population Dynamics to Augment Motor Function After StrokeR01NS112424 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANGULY, KARUNESH, MORECRAFT, ROBERT J · 2020 to 2024
$3.2M
Development of circuit-based therapies for motor recovery after strokeK02NS093014 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANGULY, KARUNESH · 2015 to 2019
$921k
Neuromodulation approaches for restoring dexterous control following cortical stroke.F32MH120891 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KHANNA, PREEYA · 2019 to 2021
$137k
NIMH NIH HHS F32 MH120891NINDS NIH HHS K02 NS093014NINDS NIH HHS R01 NS112424NINDS NIH HHS R01 NS117406
6 · The paper itself

Abstract

Electrical stimulation is a promising tool for modulating brain networks. However, it is unclear how stimulation interacts with neural patterns underlying behavior. Specifically, how might external stimulation that is not sensitive to the state of ongoing neural dynamics reliably augment neural processing and improve function? Here, we tested how low-frequency epidural alternating current stimulation (ACS) in non-human primates recovering from stroke interacted with task-related activity in perilesional cortex and affected grasping. We found that ACS increased co-firing within task-related ensembles and improved dexterity. Using a neural network model, we found that simulated ACS drove ensemble co-firing and enhanced propagation of neural activity through parts of the network with impaired connectivity, suggesting a mechanism to link increased co-firing to enhanced dexterity. Together, our results demonstrate that ACS restores neural processing in impaired networks and improves dexterity following stroke. More broadly, these results demonstrate approaches to optimize stimulation to target neural dynamics.

Indexed as

Action PotentialsAnimalsBehavior, AnimalBiomechanical PhenomenaElectric StimulationHaplorhiniMotor CortexNeural Networks, ComputerNeuronsStrokeTask Performance and AnalysisTime Factorsalternating current stimulationdexterityelectric fieldselectrophysiologymotor systemneural dynamicsneural network modelneuronnon-human primatestroke

Identifiers

PMID33571430
PMCPMC7935019
OpenAlexW3127644946

What OpenQuestion holds

Textmetadata
LicenceTDM
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.