Evidence map›Paper›PMID 35926452›Full record

ReviewNeuron2022

Modulation of neural co-firing to enhance network transmission and improve motor function after stroke.

Karunesh Ganguly, Preeya Khanna, Robert J Morecraft, David J Lin

Abstract readReview
In one paragraph

Review in Neuron, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

27 citing papers in PubMed.

  1. Trial
  2. Review
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  15. Article
  16. Cross-Frequency Coupling as a Biomarker for Early Stroke Recovery.Neurorehabilitation and neural repair · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Rethinking Remapping: Circuit Mechanisms of Recovery after Stroke.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Review
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.

Karunesh GangulyDepartment of Neurology, Weill Institute for Neuroscience, University of California San Francisco, San Francisco, CA, USA; Neurology Service, SFVAHCS, San Francisco, CA, USA. Electronic address: karunesh.ganguly@ucsf.edu.
Preeya KhannaDepartment of Neurology, Weill Institute for Neuroscience, University of California San Francisco, San Francisco, CA, USA; Neurology Service, SFVAHCS, San Francisco, CA, 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.
David J LinCenter for Neurotechnology and Neurorecovery, Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Providence VA Medical Center, Providence, RI, USA.

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
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
Neural dynamics of somatosensory guidance of dexterous movement in intact and stroke-injured networksK99NS124748 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KHANNA, PREEYA · 2021 to 2022
$222k
Neurophysiological Basis for Enhancing Motor Recovery After StrokeI01RX001640 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI Karunesh Ganguly · 2016 to 2026
–
Deconstructing Post-Stroke Hemiparesis for Precision NeurorehabilitationIK2RX004237 · VA · PROVIDENCE VA MEDICAL CENTER · PI LIN, DAVID J · 2022 to 2025
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Targeting Neuroplasticity with Brain Computer Interfaces to Maximize Motor Recovery for Veterans with StrokeIK1RX003563 · VA · PROVIDENCE VA MEDICAL CENTER · PI LIN, DAVID J · 2020 to 2021
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NIMH NIH HHS R01 MH111871NINDS NIH HHS K99 NS124748NINDS NIH HHS R01 NS112424NINDS NIH HHS R01 NS117406RRD VA I01 RX001640RRD VA IK1 RX003563RRD VA IK2 RX004237
6 · The paper itself

Abstract

Stroke is a leading cause of disability. While neurotechnology has shown promise for improving upper limb recovery after stroke, efficacy in clinical trials has been variable. Our central thesis is that to improve clinical translation, we need to develop a common neurophysiological framework for understanding how neurotechnology alters network activity. Our perspective discusses principles for how motor networks, both healthy and those recovering from stroke, subserve reach-to-grasp movements. We focus on neural processing at the resolution of single movements, the timescale at which neurotechnologies are applied, and discuss how this activity might drive long-term plasticity. We propose that future studies should focus on cross-area communication and bridging our understanding of timescales ranging from single trials within a session to across multiple sessions. We hope that this perspective establishes a combined path forward for preclinical and clinical research with the goal of more robust clinical translation of neurotechnology.

Indexed as

StrokeStroke RehabilitationHumansMovementRecovery of FunctionUpper Extremity

Identifiers

PMID35926452
PMCPMC9366919

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.