Evidence map›Paper›PMID 25542201›Full record

Trial reportJournal of neuroengineering and rehabilitation2014

Training finger individuation with a mechatronic-virtual reality system leads to improved fine motor control post-stroke.

Kelly O Thielbar, Thomas J Lord, Heidi C Fischer, Emily C Lazzaro, Kristin C Barth, Mary E Stoykov, Kristen M Triandafilou, Derek G Kamper

2 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 42 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 8 pooled it
–field-weighted citation impact
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.

NCT05621980 nacompletednot on this mapstarted 2023, after this paper: background citation

A Multimodal Intervention to Improve Manual Dexterity in Subacute Stroke Survivors

TypeinterventionalSponsorNorth Carolina State UniversityRan2023 to 2025Enrolled10ConditionsStrokeArmsActuated Virtual Keyboard (AVK) system, Occupational Therapy (OT)
NCT06754072 nacompletednot on this mapstarted 2023, after this paper: background citation

Virtual Reality-Based Hand Rehabilitation for Post-Surgical Degenerative Cervical Myelopathy: A Pilot Study

TypeinterventionalSponsorMedical College of WisconsinRan2023 to 2024Enrolled25ConditionsDegenerative Cervical MyelopathyArmsVirtual Keyboard (VK) System
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Virtual reality for stroke rehabilitation.The Cochrane database of systematic reviews · 2025
    Pooled it
  2. Virtual Reality Therapy for Upper Limb Motor Impairments in Patients With Stroke: A Systematic Review and Meta-Analysis.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2025
    Pooled it
  3. Pooled it
  4. Pooled it
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  6. Robot-assisted distal training improves upper limb dexterity and function after stroke: a systematic review and meta-regression.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Pooled it
  7. Serious games for upper limb rehabilitation after stroke: a meta-analysis.Journal of neuroengineering and rehabilitation · 2021
    Pooled it
  8. Virtual reality for stroke rehabilitation.The Cochrane database of systematic reviews · 2017
    Pooled it
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  18. Soft pneumatic actuators for pushing fingers into extension.Journal of neuroengineering and rehabilitation · 2024
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  20. 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

8 authors.

Kelly O Thielbar
Thomas J Lord
Heidi C Fischer
Emily C Lazzaro
Kristin C Barth
Mary E Stoykov
Kristen M TriandafilouSensory Motor Performance Program, Rehabilitation Institute of Chicago, 345 E Superior Street, Suite 1406, Chicago, IL 60611, USA. triandafilou@ricres.org.
Derek G Kamper

Funding

MULTICENTER CAREER DEVELOPMENT PROGRAM FOR PHYSICAL AND OCCUPATIONAL THERAPYK12HD055931 · NICHD · WASHINGTON UNIVERSITY · PI HAYES, MARCIE HARRIS · 2007 to 2021
$12.7M
NICHD NIH HHS K12 HD055931PHS HHS H133E070013
6 · The paper itself

Abstract

backgroundDexterous manipulation of the hand, one of the features of human motor control, is often compromised after stroke, to the detriment of basic functions. Despite the importance of independent movement of the digits to activities of daily living, relatively few studies have assessed the impact of specifically targeting individuated movements of the digits on hand rehabilitation. The purpose of this study was to investigate the impact of such finger individuation training, by means of a novel mechatronic-virtual reality system, on fine motor control after stroke.

methodsAn actuated virtual keypad (AVK) system was developed in which the impaired hand controls a virtual hand playing a set of keys. Creation of individuated digit movements is assisted by a pneumatically actuated glove, the PneuGlove. A study examining efficacy of the AVK system was subsequently performed. Participants had chronic, moderate hand impairment resulting from a single stroke incurred at least 6 months prior. Each subject underwent 18 hour-long sessions of extensive therapy (3x per week for 6 weeks) targeted at finger individuation. Subjects were randomly divided into two groups: the first group (Keypad: N = 7) utilized the AVK system while the other group (OT: N = 7) received a similarly intensive dose of occupational therapy; both groups worked directly with a licensed occupational therapist. Outcome measures such as the Jebsen-Taylor Hand Function Test (JTHFT), Action research Arm Test (ARAT), Fugl-Meyer Upper Extremity Motor Assessment/Hand subcomponent (FMUE/FMH), grip and pinch strengths were collected at baseline, post-treatment and one-month post-treatment.

resultsWhile both groups exhibited some signs of change after the training sessions, only the Keypad group displayed statistically significant improvement both for measures of impairment (FMH: p = 0.048) and measures of task performance (JTHFT: p = 0.021). Additionally, the finger individuation index - a measure of finger independence - improved only for the Keypad group after training (p = 0.05) in the subset (Keypad: N = 4; OT: N = 5) of these participants for which it was measured.

conclusionsActively assisted individuation therapy comprised of non task-specific modalities, such as can be achieved with virtual platforms like the AVK described here, may prove to be valuable clinical tools for increasing the effectiveness and efficiency of therapy following stroke.

Indexed as

Stroke RehabilitationUser-Computer InterfaceActivities of Daily LivingAgedComputer SimulationFemaleFingersHumansMaleMiddle AgedMovementOccupational TherapyRehabilitationTreatment OutcomeUpper Extremity

Identifiers

PMID25542201
PMCPMC4292811

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.