Evidence map›Paper›PMID 27669997›Full record

ArticleDisability and rehabilitation2017

Motor skill changes and neurophysiologic adaptation to recovery-oriented virtual rehabilitation of hand function in a person with subacute stroke: a case study.

Gerard G Fluet, Jigna Patel, Qinyin Qiu, Matthew Yarossi, Supriya Massood, Sergei V Adamovich, Eugene Tunik, Alma S Merians

Registry-linked trialOpen access · greenAbstract readCase Reports
In one paragraph

Article in Disability and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03985761 (Utilizing Gaming Mechanics to Optimize Telerehabilitation Adherence in Persons With Stroke), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 11% 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.

NCT03985761 nacompletednot on this mapstarted 2019, after this paper: background citation

Utilizing Gaming Mechanics to Optimize Telerehabilitation Adherence in Persons With Stroke

TypeinterventionalSponsorRutgers, The State University of New JerseyRan2019 to 2023Enrolled33ConditionsStrokeArmsHome Telerehabilitation using HoVRS
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 19 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

8 authors at 4 institutions in 1 country.

Gerard G Flueta Department of Rehabilitation & Movement Sciences , Rutgers The State University of New Jersey , Newark , NJ , USA.
Jigna Patela Department of Rehabilitation & Movement Sciences , Rutgers The State University of New Jersey , Newark , NJ , USA.
Qinyin Qiua Department of Rehabilitation & Movement Sciences , Rutgers The State University of New Jersey , Newark , NJ , USA.
Matthew Yarossia Department of Rehabilitation & Movement Sciences , Rutgers The State University of New Jersey , Newark , NJ , USA.
Supriya Massoodb St. Joseph's Wayne Hospital , Acute Rehabilitation Unit , Wayne , NJ , USA.
Sergei V Adamovicha Department of Rehabilitation & Movement Sciences , Rutgers The State University of New Jersey , Newark , NJ , USA.
Eugene Tunikd Department of Physical Therapy, Movement, and Rehabilitation Science, Bouve College of Health Sciences , Northeastern University , Boston , MA , USA.
Alma S Meriansa Department of Rehabilitation & Movement Sciences , Rutgers The State University of New Jersey , Newark , NJ , USA.
Rutgers, The State University of New Jersey · USNew Jersey Institute of Technology · USNortheastern University · USSt. Joseph Hospital · US

Funding

Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual EnvironmentsR01HD058301 · NICHD · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI ADAMOVICH, SERGEI V, MERIANS, ALMA S · 2009 to 2021
$4.7M
Planning and Updating in Frontoparietal Networks for GraspingR01NS085122 · NINDS · RBHS-SCHOOL/ HEALTH RELATED PROFESSIONS · PI ADAMOVICH, SERGEI V, TUNIK, EUGENE · 2014 to 2025
$3.2M
Visual Augmentation Through Virtual Reality to Rehabiliate the Hand after StrokeK01HD059983 · NICHD · UNIV OF MED/ DENT OF NJ-SCH/HLTH REL PRO · PI TUNIK, EUGENE · 2009 to 2013
$673k
Brain circuits in motor learningF31NS092268 · NINDS · RBHS-SCHOOL/ HEALTH RELATED PROFESSIONS · PI YAROSSI, MATHEW · 2015 to 2017
$77k
NICHD NIH HHS K01 HD059983NICHD NIH HHS R01 HD058301NINDS NIH HHS F31 NS092268NINDS NIH HHS R01 NS085122
6 · The paper itself

Abstract

purposeThe complexity of upper extremity (UE) behavior requires recovery of near normal neuromuscular function to minimize residual disability following a stroke. This requirement places a premium on spontaneous recovery and neuroplastic adaptation to rehabilitation by the lesioned hemisphere. Motor skill learning is frequently cited as a requirement for neuroplasticity. Studies examining the links between training, motor learning, neuroplasticity, and improvements in hand motor function are indicated.

methodsThis case study describes a patient with slow recovering hand and finger movement (Total Upper Extremity Fugl-Meyer examination score = 25/66, Wrist and Hand items = 2/24 on poststroke day 37) following a stroke. The patient received an intensive eight-session intervention utilizing simulated activities that focused on the recovery of finger extension, finger individuation, and pinch-grasp force modulation.

resultsOver the eight sessions, the patient demonstrated improvements on untrained transfer tasks, which suggest that motor learning had occurred, as well a dramatic increase in hand function and corresponding expansion of the cortical motor map area representing several key muscles of the paretic hand. Recovery of hand function and motor map expansion continued after discharge through the three-month retention testing.

conclusionThis case study describes a neuroplasticity based intervention for UE hemiparesis and a model for examining the relationship between training, motor skill acquisition, neuroplasticity, and motor function changes. Implications for rehabilitation Intensive hand and finger rehabilitation activities can be added to an in-patient rehabilitation program for persons with subacute stroke. Targeted training of the thumb may have an impact on activity level function in persons with upper extremity hemiparesis. Untrained transfer tasks can be utilized to confirm that training tasks have elicited motor learning. Changes in cortical motor maps can be used to document changes in brain function which can be used to evaluate changes in motor behavior persons with subacute stroke.

Indexed as

FemaleFingersHand StrengthHumansMiddle AgedMotor SkillsMovementParesisRecovery of FunctionRoboticsStrokeStroke RehabilitationTelerehabilitationTreatment OutcomeVirtual Reality Exposure TherapyhandrehabilitationroboticsStrokeupper extremityvirtual reality

Identifiers

PMID27669997
PMCPMC5368038
OpenAlexW2526319224

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.