Evidence map›Paper›PMID 41685291›Full record

ReviewFrontiers in human neuroscience2025

What are the virtual reality solutions for dual-task intervention to promote health in aging? A scoping review.

Francesca Bruni, Francesco Bigotto, Valentina Mancuso, Silvia Cavedoni, Jonathan Panigada, Marco Stramba-Badiale, Silvia Serino, Elisa Pedroli

Abstract readReview
In one paragraph

Review in Frontiers in human neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Francesca BruniOlder People Rehabilitation and Cerebrovascular Medicine Research Laboratory, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Francesco BigottoOlder People Rehabilitation and Cerebrovascular Medicine Research Laboratory, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Valentina MancusoDepartment of Theoretical and Applied Sciences, eCampus University, Novedrate, Italy.
Silvia CavedoniOlder People Rehabilitation and Cerebrovascular Medicine Research Laboratory, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Jonathan PanigadaOlder People Rehabilitation and Cerebrovascular Medicine Research Laboratory, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Marco Stramba-BadialeOlder People Rehabilitation and Cerebrovascular Medicine Research Laboratory, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Silvia SerinoDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.
Elisa PedroliOlder People Rehabilitation and Cerebrovascular Medicine Research Laboratory, IRCCS Istituto Auxologico Italiano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cognitive-motor dual-task (CMDT) performance is crucial for everyday activities, particularly in older adults who commonly experience deficiencies in cognitive and motor domains. These impairments compromise daily functioning, causing a decrease in quality of life. However, traditional assessment and training methods face significant limitations. Conventional protocols often exhibit limited ecological validity, as they fail to replicate real-world performance demands adequately. Moreover, they are characterized by substantial methodological heterogeneity and offer restricted capacity for real-time performance monitoring and the delivery of personalized feedback. Virtual Reality (VR) offers a promising approach by creating controlled, real-life environments that enable precise assessment and personalized training. However, VR-based CMDT remains largely unexplored. This review evaluates current VR solutions for CMDT, examining assessment, and intervention designs. Methods: A scoping review was conducted on April 17, 2023 (and updated on January 21, 2025), following the PRISMA for Scoping Review guidelines, on three databases: Web of Science, Embase, and PubMed. We included original articles, based on the following criteria: English-language; original research articles reporting empirical data from experimental, quasi-experimental, or observational studies; articles employing CMDT assessment or training; use of VR-based applications during a CMDT; older population participants (≥65 years). Reviews, meta-analyses, editorials, conceptual articles, case studies, and short papers were excluded. Results: Of 2,649 papers, 21 studies met the inclusion criteria: 17 assessment and four training studies. Research focused on healthy older adults and individuals with early cognitive decline, sensory deficits, and those at fall risk. Assessment studies mainly employed immersive and semi-immersive systems simulating realistic scenarios in virtual environments, primarily using "walking while" paradigms with cognitive tasks. Training studies frequently utilized non-immersive or semi-immersive solutions with less naturalistic environments, demonstrating improvements in gait parameters, dual-task performance, motor functions, and cognitive abilities. Substantial methodological heterogeneity was observed in intervention duration, frequency, and DT cost calculations, with limited attention to user experience evaluation. Discussion: VR-based CMDT applications show promise for assessment and intervention in aging. However, significant gaps exist regarding the lack of standardized methodological approaches, ecological validity, and user-centered design considerations. Future research should address these limitations to enhance the accessibility and effectiveness of VR-based CMDT interventions.

Indexed as

agingassessmentdual-taskrehabilitationtechnologyvirtual reality

Identifiers

PMID41685291
PMCPMC12891109

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.