Evidence map›Paper›PMID 31315612›Full record

Trial reportJournal of neuroengineering and rehabilitation2019

Intensive virtual reality and robotic based upper limb training compared to usual care, and associated cortical reorganization, in the acute and early sub-acute periods post-stroke: a feasibility study.

Jigna Patel, Gerard Fluet, Qinyin Qiu, Mathew Yarossi, Alma Merians, Eugene Tunik, Sergei Adamovich

Open access · goldAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 pooled it
5.0field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 65 citations in OpenAlex.

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  15. Feasibility and efficacy of an early sensory-motor rehabilitation program on hand function in patients with stroke: a pilot, single-subject experimental design.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  16. The effects of respiratory muscle training on respiratory function and functional capacity in patients with early stroke: a meta-analysis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2024
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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

7 authors at 3 institutions in 1 country.

Jigna PatelDepartment of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers University, The State University of New Jersey, 65 Bergen Street, Newark, NJ, 07107, USA. patel421@shp.rutgers.edu.ORCID 0000-0001-5568-6714
Gerard FluetDepartment of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers University, The State University of New Jersey, 65 Bergen Street, Newark, NJ, 07107, USA.
Qinyin QiuDepartment of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers University, The State University of New Jersey, 65 Bergen Street, Newark, NJ, 07107, USA.
Mathew YarossiMovement Neuroscience Laboratory, Department of Physical Therapy, Bouve College of Health Sciences, Movement and Rehabilitation Science, Northeastern University, 308C Robinson Hall - 360 Huntington Avenue, Boston, MA, 02115, USA.
Alma MeriansDepartment of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers University, The State University of New Jersey, 65 Bergen Street, Newark, NJ, 07107, USA.
Eugene TunikMovement Neuroscience Laboratory, Department of Physical Therapy, Bouve College of Health Sciences, Movement and Rehabilitation Science, Northeastern University, 308C Robinson Hall - 360 Huntington Avenue, Boston, MA, 02115, USA.
Sergei AdamovichDepartment of Biomedical Engineering, New Jersey Institute of Technology, 616 Fenster Hall - 323 Dr. MLK Jr. BLVD, Newark, NJ, 07102, USA.
Rutgers, The State University of New Jersey · USNortheastern University · USNew Jersey Institute of Technology · 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
NICHD NIH HHS R01 HD058301NIH HHS R01HD58301NIH HHS R01NS085122NINDS NIH HHS R01 NS085122
6 · The paper itself

Abstract

backgroundThere is conflict regarding the benefits of greater amounts of intensive upper limb rehabilitation in the early period post-stroke. This study was conducted to test the feasibility of providing intensive therapy during the early period post-stroke and to develop a randomized control trial that is currently in process. Specifically, the study investigated whether an additional 8 h of specialized, intensive (200-300 separate hand or arm movements per hour) virtual reality (VR)/robotic based upper limb training introduced within 1-month post-stroke resulted in greater improvement in impairment and behavior, and distinct changes in cortical reorganization measured via Transcranial Magnetic Stimulation (TMS), compared to that of a control group.

methodsSeven subjects received 8-1 h sessions of upper limb VR/robotic training in addition to their inpatient therapy (PT, OT, ST). Six subjects only received their inpatient therapy. All were tested on measures of impairment [Upper Extremity Fugl-Meyer Assessment (UEFMA), Wrist AROM, Maximum Pinch Force], behavior [Wolf Motor Function Test (WMFT)], and also received TMS mapping until 6 months post training. ANOVAs were conducted to measure differences between groups across time for all outcome measures. Associations between changes in ipsilesional cortical maps during the early period of enhanced neuroplasticity and long-term changes in upper limb impairment and behavior measures were evaluated.

resultsThe VR/robotic group made significantly greater improvements on UEFMA and Wrist AROM scores compared to the usual care group. There was also less variability in the association between changes in the First Dorsal Interosseus (FDI) muscle map area and WMFT and Maximum Force change scores for the VR/robotic group.

conclusionsAn additional 8 h of intensive VR/robotic based upper limb training initiated within the first month post-stroke may promote greater gains in impairment compared to usual care alone. Importantly, the data presented demonstrated the feasibility of conducting this intervention and multiple outcome measures (impairment, behavioral, neurophysiological) in the early period post-stroke.

Indexed as

Exoskeleton DeviceVirtual RealityAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedNeuronal PlasticityPhysical Therapy ModalitiesRecovery of FunctionSomatosensory CortexStrokeStroke RehabilitationTreatment OutcomeAcuteEarly sub-acuteRobotic therapyStrokeTranscranial magnetic stimulationUpper limbVirtual reality

Identifiers

PMID31315612
PMCPMC6637633
OpenAlexW2957884775

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.