Evidence map›Paper›PMID 34335213›Full record

ArticleFrontiers in human neuroscience2021

Computerized Dual-Task Testing of Gait Visuomotor and Cognitive Functions in Parkinson's Disease: Test-Retest Reliability and Validity.

Mayank Bhatt, Bhuvan Mahana, Ji Hyun Ko, Tiffany A Kolesar, Anuprita Kanitkar, Tony Szturm

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03232996 (Evaluation of a Computer Game Based Rehabilitation System for Assessment and Treatment of Balance and Gait Impairments in Individuals With Parkinson's Disease.), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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.

NCT03232996 nacompletednot on this map

Evaluation of a Computer Game Based Rehabilitation System for Assessment and Treatment of Balance and Gait Impairments in Individuals With Parkinson's Disease.

TypeinterventionalSponsorUniversity of ManitobaRan2017 to 2019Enrolled30ConditionsParkinson Disease, ParkinsonArmsComputer game based balance and walking rehabilitation for individuals with Parkinson's Disease
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Article
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  4. Article
  5. 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

6 authors.

Mayank BhattCollege of Rehabilitation Sciences, University of Manitoba, Winnipeg, MB, Canada.
Bhuvan MahanaCollege of Rehabilitation Sciences, University of Manitoba, Winnipeg, MB, Canada.
Ji Hyun KoDepartment of Human Anatomy and Cell Science, University of Manitoba, Winnipeg, MB, Canada.
Tiffany A KolesarDepartment of Human Anatomy and Cell Science, University of Manitoba, Winnipeg, MB, Canada.
Anuprita KanitkarCollege of Rehabilitation Sciences, University of Manitoba, Winnipeg, MB, Canada.
Tony SzturmCollege of Rehabilitation Sciences, University of Manitoba, Winnipeg, MB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobility and cognitive impairments in Parkinson's disease (PD) often coexist and are prognostic of adverse health events. Consequently, assessment and training that simultaneously address both gait function and cognition are important to consider in rehabilitation and promotion of healthy aging. For this purpose, a computer game-based rehabilitation treadmill platform (GRP) was developed for dual-task (DT) assessment and training.

objectiveThe first objective was to establish the test-retest reliability of the GRP assessment protocol for DT gait, visuomotor and executive cognitive function in PD patients. The second objective was to examine the effect of task condition [single task (ST) vs. DT] and disease severity (stage 2 vs. stage 3) on gait, visuomotor and cognitive function.

methodsThirty individuals aged 55 to 70 years, diagnosed with PD; 15 each at Hoehn and Yahr scale stage 2 (PD-2) and 3 (PD-3) performed a series of computerized visuomotor and cognitive game tasks while sitting (ST) and during treadmill walking (DT). A treadmill instrumented with a pressure mat was used to record center of foot pressure and compute the average and coefficient of variation (COV) of step time, step length, and drift during 1-min, speed-controlled intervals. Visuomotor and cognitive game performance measures were quantified using custom software. Testing was conducted on two occasions, 1 week apart.

resultsWith few exceptions, the assessment protocol showed moderate to high intraclass correlation coefficient (ICC) values under both ST and DT conditions for the spatio-temporal gait measures (average and COV), as well as the visuomotor tracking and cognitive game performance measures. A significant decline in gait, visuomotor, and cognitive game performance measures was observed during DT compared to ST conditions, and in the PD-3 compared to PD-2 groups.

conclusionThe high to moderate ICC values along with the lack of systematic errors in the measures indicate that this tool has the ability to repeatedly record reliable DT interference (DTI) effects over time. The use of interactive digital media provides a flexible method to produce and evaluate DTI for a wide range of executive cognitive activities. This also proves to be a sensitive tool for tracking disease progression. CLINICAL

trial registrationwww.ClinicalTrials.gov, identifier NCT03232996.

Indexed as

cognitive performancedual-task performanceintra-class correlation coefficientParkinson’s diseasespatiotemporal gait variablestreadmill walking

Identifiers

PMID34335213
PMCPMC8320846

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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.