Evidence map›Paper›PMID 34776421›Full record

Trial reportNeuroRehabilitation2022

Predicting upper extremity motor improvement following therapy using EEG-based connectivity in chronic stroke.

Amanda A Vatinno, Christian Schranz, Annie N Simpson, Viswanathan Ramakrishnan, Leonardo Bonilha, N J Seo

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in NeuroRehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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 2 institutions in 1 country.

Amanda A VatinnoDepartment of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, Charleston, SC, USA.
Christian SchranzDepartment of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, Charleston, SC, USA.
Annie N SimpsonDepartment of Healthcare Leadership and Management, College of Health Professions, Medical University of South Carolina, Charleston, SC, USA.
Viswanathan RamakrishnanDepartment of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Leonardo BonilhaDepartment of Neurology, College of Medicine, Medical University of South Carolina, Charleston, SC, USA.
N J SeoDepartment of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, Charleston, SC, USA.
Medical University of South Carolina · USRalph H. Johnson VA Medical Center · US

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
South Carolina Clinical & Translational Research Institute (SCTR)TL1TR001451 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI FEGHALI-BOSTWICK, CAROL A. · 2015 to 2024
$4.6M
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
Scleroderma Twin Study and analysis of Estrogen in patients with dcSScK24AR060297 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FEGHALI-BOSTWICK, CAROL A. · 2013 to 2025
$1.4M
NCATS NIH HHS TL1 TR001451NCATS NIH HHS UL1 TR001450NIAMS NIH HHS K24 AR060297NICHD NIH HHS R01 HD094731NIGMS NIH HHS P20 GM109040
6 · The paper itself

Abstract

backgroundUncertain prognosis presents a challenge for therapists in determining the most efficient course of rehabilitation treatment for individual patients. Cortical Sensorimotor network connectivity may have prognostic utility for upper extremity motor improvement because the integrity of the communication within the sensorimotor network forms the basis for neuroplasticity and recovery.

objectiveTo investigate if pre-intervention sensorimotor connectivity predicts post-stroke upper extremity motor improvement following therapy.

methodsSecondary analysis of a pilot triple-blind randomized controlled trial. Twelve chronic stroke survivors underwent 2-week task-practice therapy, while receiving vibratory stimulation for the treatment group and no stimulation for the control group. EEG connectivity was obtained pre-intervention. Motor improvement was quantified as change in the Box and Block Test from pre to post-therapy. The association between ipsilesional sensorimotor connectivity and motor improvement was examined using regression, controlling for group. For negative control, contralesional/interhemispheric connectivity and conventional predictors (initial clinical motor score, age, time post-stroke, lesion volume) were examined.

resultsGreater ipsilesional sensorimotor alpha connectivity was associated with greater upper extremity motor improvement following therapy for both groups (p < 0.05). Other factors were not significant.

conclusionEEG connectivity may have a prognostic utility for individual patients' upper extremity motor improvement following therapy in chronic stroke.

Indexed as

StrokeStroke RehabilitationElectroencephalographyHumansNeuronal PlasticityRecovery of FunctionUpper ExtremityEEGparesisphysical stimulationprognosisrehabilitationstrokesubliminal stimulationupper extremity

Identifiers

PMID34776421
PMCPMC8821328
OpenAlexW3212510856

What OpenQuestion holds

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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.