Evidence map›Paper›PMID 41851030›Full record

SynthesisJournal of medical Internet research2026

Immersive Technologies for Cognitive Rehabilitation in Dementia and Mild Cognitive Impairment: Systematic Review.

Jaromir Konecny, Giuseppe Lanza, Serafino Buono, Raffaele Ferri, Antonina Luca, Radek Martinek, Sabrina Musso, Aurora Palmigiano, Barbora Prauzkova, Angelica Quercia and 4 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Jaromir KonecnyDepartment of Cybernetics and Biomedical Engineering, VSB - Technical University of Ostrava, 17. listopadu 2172/15, Ostrava - Poruba, 708 00, Czech Republic, +420 596 995 857.ORCID http://orcid.org/0000-0002-0496-2915
Giuseppe LanzaDepartment of Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy.ORCID http://orcid.org/0000-0002-5659-662X
Serafino BuonoDepartment of Clinical Neurosciences, Oasi Research Institute-IRCCS, Troina, Italy.ORCID http://orcid.org/0000-0002-3786-3323
Raffaele FerriDepartment of Clinical Neurosciences, Oasi Research Institute-IRCCS, Troina, Italy.ORCID http://orcid.org/0000-0001-6937-3065
Antonina LucaDepartment of Medicine and Surgery, "Kore" University of Enna, Enna, Italy.ORCID http://orcid.org/0000-0002-8397-3478
Radek MartinekDepartment of Cybernetics and Biomedical Engineering, VSB - Technical University of Ostrava, 17. listopadu 2172/15, Ostrava - Poruba, 708 00, Czech Republic, +420 596 995 857.ORCID http://orcid.org/0000-0003-2054-143X
Sabrina MussoDepartment of Clinical Neurosciences, Oasi Research Institute-IRCCS, Troina, Italy.ORCID http://orcid.org/0000-0001-8607-047X
Aurora PalmigianoDepartment of Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy.ORCID http://orcid.org/0009-0008-3050-4871
Barbora PrauzkovaDepartment of Management, VSB - Technical University of Ostrava, Ostrava - Poruba, Czech Republic.ORCID http://orcid.org/0009-0006-9657-7155
Angelica QuerciaDepartment of Clinical Neurosciences, Oasi Research Institute-IRCCS, Troina, Italy.ORCID http://orcid.org/0000-0002-7121-0692
Francesco RundoUnit of Bioinformatics and Statistics, Oasi Research Institute-IRCCS, Troina, Italy.ORCID http://orcid.org/0000-0002-9498-093X
Ramachandran Avala SubramanianDepartment of Cybernetics and Biomedical Engineering, VSB - Technical University of Ostrava, 17. listopadu 2172/15, Ostrava - Poruba, 708 00, Czech Republic, +420 596 995 857.ORCID http://orcid.org/0009-0005-8836-040X
Alessandro SerrettiDepartment of Clinical Neurosciences, Oasi Research Institute-IRCCS, Troina, Italy.ORCID http://orcid.org/0000-0003-4363-3759
Michal PrauzekDepartment of Cybernetics and Biomedical Engineering, VSB - Technical University of Ostrava, 17. listopadu 2172/15, Ostrava - Poruba, 708 00, Czech Republic, +420 596 995 857.ORCID http://orcid.org/0000-0003-1348-1328

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive decline across the mild cognitive impairment (MCI)-dementia continuum is a major driver of loss of independence and growing health- and social-care burden. Immersive technologies, such as virtual reality (VR), augmented reality (AR), and Cave Automatic Virtual Environment (CAVE) systems, are increasingly explored as tools to enhance engagement, personalization, and ecological validity in cognitive rehabilitation. Objective: This systematic review synthesizes current evidence on the usability, therapeutic effects, and implementation challenges of immersive technologies for cognitive rehabilitation in MCI and dementia. Methods: A systematic search of Scopus and Web of Science was conducted for peer-reviewed journal articles published between 2021 and 2026. Eligible studies investigated VR, AR, or CAVE interventions targeting cognitive rehabilitation outcomes in MCI and/or dementia and reported measures related to usability or acceptability, or cognitive, functional, or behavioral outcomes. Due to heterogeneity in technologies, intervention content, and outcome measures, findings were synthesized narratively with comparisons across modalities and study designs. Results: In total, 119 studies met the inclusion criteria. Across immersive VR interventions, signals of benefit were most consistently reported for memory, attention, and executive functioning, with several studies also targeting outcomes with higher ecological relevance (eg, everyday task performance and functional skills). AR approaches primarily support context-aware cueing and task guidance in real-world settings, aiming to strengthen daily functioning and independence. CAVE-based systems were frequently used for spatial navigation and embodied interaction, offering advantages for supervised clinical deployment. Key barriers included cybersickness and comfort issues, interface complexity, and onboarding demands in cognitively impaired users, limited accessibility and standardization of outcome measures, small samples and short follow-up periods, and practical constraints related to cost, space, staffing, and caregiver involvement. Conclusions: Immersive VR, AR, and CAVE systems are feasible and often engaging for cognitive rehabilitation in MCI and dementia, with promising therapeutic signals but substantial uncertainty driven by methodological and implementation heterogeneity. Future work should prioritize standardized reporting (intervention components, dose, and adverse events), clinically meaningful outcomes (including functional end points), adequately powered comparative trials, and explicit evaluation of scalability and real-world deployment pathways.

Indexed as

Cognitive DysfunctionDementiaVirtual RealityAugmented RealityCognitive TrainingHumansaugmented realityCave Automatic Virtual Environment systemCAVE systemcognitive rehabilitationdementiamild cognitive impairmentmixed realityPRISMAvirtual reality

Identifiers

PMID41851030
PMCPMC12999361

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.