Evidence map›Paper›PMID 37420566›Full record

ArticleSensors (Basel, Switzerland)2023

Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke.

Adam Baker, Christian Schranz, Na Jin Seo

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

3 authors at 1 institution in 1 country.

Adam BakerDepartment of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, 77 President St., Charleston, SC 29425, USA.ORCID 0000-0002-7483-0360
Christian SchranzDepartment of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, 77 President St., Charleston, SC 29425, USA.
Na Jin SeoDepartment of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, 77 President St., Charleston, SC 29425, USA.ORCID 0000-0001-6446-5905
Medical University of South Carolina · US

Funding

Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
Role of distinctive cortical motor maps for hand muscles for recovery post strokeR01HD094731 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI SEO, NA JIN · 2020 to 2024
$3.1M
Novel training environment to normalize altered finger force direction post strokeI01RX003066 · VA · RALPH H JOHNSON VA MEDICAL CENTER · PI SEO, NA JIN · 2019 to 2023
–
NICHD NIH HHS R01 HD094731NIGMS NIH HHS P20 GM109040NIH HHS NIH/NICHD 3R01 HD094731-03S1NIH HHS NIH/NICHD R01 HD094731NIH HHS NIH/NIGMS P20 GM109040RRD VA I01 RX003066
6 · The paper itself

Abstract

Hand sensorimotor deficits often result from stroke, limiting the ability to perform daily living activities. Sensorimotor deficits are heterogeneous among stroke survivors. Previous work suggests a cause of hand deficits is altered neural connectivity. However, the relationships between neural connectivity and specific aspects of sensorimotor control have seldom been explored. Understanding these relationships is important for developing personalized rehabilitation strategies to improve individual patients' specific sensorimotor deficits and, thus, rehabilitation outcomes. Here, we investigated the hypothesis that specific aspects of sensorimotor control will be associated with distinct neural connectivity in chronic stroke survivors. Twelve chronic stroke survivors performed a paretic hand grip-and-relax task while EEG was collected. Four aspects of hand sensorimotor grip control were extracted, including reaction time, relaxation time, force magnitude control, and force direction control. EEG source connectivity in the bilateral sensorimotor regions was calculated in α and β frequency bands during grip preparation and execution. Each of the four hand grip measures was significantly associated with a distinct connectivity measure. These results support further investigations into functional neural connectivity signatures that explain various aspects of sensorimotor control, to assist the development of personalized rehabilitation that targets the specific brain networks responsible for the individuals' distinct sensorimotor deficits.

Indexed as

StrokeStroke RehabilitationBrainHandHand StrengthHumansUpper ExtremitybiomechanicsEEG connectivityprecision medicinerehabilitationstrokeupper extremity

Identifiers

PMID37420566
PMCPMC10301091
OpenAlexW4380049284

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.