Evidence map›Paper›PMID 33859830›Full record

ArticleBioelectronics in medicine2018

Innovations in electrical stimulation harness neural plasticity to restore motor function.

Xiaoyu Peng, Jordan L Hickman, Spencer G Bowles, Dane C Donegan, Cristin G Welle

Open access · greenAbstract read
In one paragraph

Article in Bioelectronics in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

5 authors at 2 institutions in 2 countries.

Xiaoyu PengDept. of Neurosurgery, University of Colorado, Anschutz Medical Campus, 12700 East 19th Avenue, Aurora, CO 80045.
Jordan L HickmanDept. of Neurosurgery, University of Colorado, Anschutz Medical Campus, 12700 East 19th Avenue, Aurora, CO 80045.
Spencer G BowlesDept. of Neurosurgery, University of Colorado, Anschutz Medical Campus, 12700 East 19th Avenue, Aurora, CO 80045.
Dane C DoneganDept. of Neurosurgery, University of Colorado, Anschutz Medical Campus, 12700 East 19th Avenue, Aurora, CO 80045.
Cristin G WelleDept. of Neurosurgery, University of Colorado, Anschutz Medical Campus, 12700 East 19th Avenue, Aurora, CO 80045.
University of Colorado Anschutz Medical Campus · USETH Zurich · CH

Funding

Neuroscience Training GrantT32NS099042 · NINDS · UNIVERSITY OF COLORADO DENVER · PI Nidia Calero, GIDON S FELSEN · 2016 to 2026
$2.1M
3D-Fast Optical Interface for Rapid Volumetric Neural Sensing and ModulationR21EY029458 · NEI · UNIVERSITY OF COLORADO DENVER · PI GIBSON, EMILY, WELLE, CRISTIN G · 2018 to 2019
$479k
NEI NIH HHS R21 EY029458NINDS NIH HHS T32 NS099042
6 · The paper itself

Abstract

Novel technology and innovative stimulation paradigms allow for unprecedented spatiotemporal precision and closed-loop implementation of neurostimulation systems. In turn, precise, closed-loop neurostimulation appears to preferentially drive neural plasticity in motor networks, promoting neural repair. Recent clinical studies demonstrate that electrical stimulation can drive neural plasticity in damaged motor circuits, leading to meaningful improvement in users. Future advances in these areas hold promise for the treatment of a wide range of motor systems disorders.

Indexed as

close-loopelectrical stimulationmotorneural plasticityvagus nerve stimulation (VNS)

Identifiers

PMID33859830
PMCPMC8046169
OpenAlexW2942182706

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.