Evidence map›Paper›PMID 42459894›Full record

ArticleFrontiers in human neuroscience2026

Dual-task gait assessment using n-back testing during self-paced treadmill walking in virtual reality: reliability and baseline characterisation for future clinical application.

Mohammad Al-Amri, Rula Abdallat, Abdulrhman Mashabi, Hilal Al Balushi

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In one paragraph

Article in Frontiers in human neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Mohammad Al-AmriSchool of Healthcare Sciences, Cardiff University, Cardiff, United Kingdom.
Rula AbdallatDepartment of Biomedical Engineering, Faculty of Engineering, The Hashemite University, Zarqa, Jordan.
Abdulrhman MashabiDepartment of Physical Therapy, College of Medical Rehabilitation Sciences, Taibah University, Madinah, Saudi Arabia.
Hilal Al BalushiPhysiotherapy and Rehabilitation Department, Sultan Qaboos University Hospital, University Medical City, Seeb, Oman.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dual-task gait paradigms are widely used to assess cognitive-motor integration, however considerable methodological heterogeneity remains. Fixed-speed locomotion and limited assessment of repeatability have contributed to inconsistent baseline findings in healthy adults, complicating interpretation of dual-task effects reported in clinical populations. Objective: This study aimed to examine the reliability and baseline gait behaviour associated with a dual-task paradigm combining non-immersive virtual reality (VR)-based self-paced treadmill walking and parametrically modulated working memory load. The purpose was to establish a robust reference profile in healthy adults to support subsequent clinical and reliability and baseline characterisation studies. Methods: Twenty-three healthy adult males (34.56 ± 5.12 years) completed two gait assessment sessions using a self-paced treadmill within a non-immersive VR environment. Walking was assessed under three conditions: single-task walking, dual-task walking with a 1-back task, and dual-task walking with a 2-back task. Spatiotemporal gait parameters and dual-task costs were analysed across sessions and task conditions to evaluate between-session consistency and sensitivity to graded cognitive demand. Results: Most spatiotemporal gait parameters demonstrated good consistency between sessions, with no statistically significant differences observed across days or task conditions ( Conclusion: The findings demonstrate that a self-paced treadmill VR dual-task gait protocol yields stable and repeatable gait measures following familiarisation in healthy adults. Rather than establishing criterion validity, this study provides baseline characterisation and reliability evidence necessary for future work evaluating clinical sensitivity, diagnostic utility, and intervention responsiveness in patient populations.

Indexed as

dual-tasking walkinggait stabilityself-paced treadmillvirtual reality treadmillworking memory

Identifiers

PMID42459894
PMCPMC13368726

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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.