Computerized and virtual reality cognitive training for individuals at high risk of cognitive decline: Systematic review of the literature
Abstract
The aim of this study was to assess the efficacy of cognitive training, specifically computerized cognitive training (CCT) and virtual reality cognitive training (VRCT), programs for individuals living with mild cognitive impairment (MCI) or dementia and therefore at high risk of cognitive decline. After searching a range of academic databases (CINHAL, PSYCinfo, and Web of Science), the studies evaluated (N = 16) were categorized as CCT (N = 10), VRCT (N = 3), and multimodal interventions (N = 3). Effect sizes were calculated, but a meta-analysis was not possible because of the large variability of study design and outcome measures adopted. The cognitive domains of attention, executive function, and memory (visual and verbal) showed the most consistent improvements. The positive effects on psychological outcomes (N = 6) were significant reductions on depressive symptoms (N = 3) and anxiety (N = 2) and improved perceived use of memory strategy (N = 1). Assessments of activities of daily living demonstrated no significant improvements (N = 8). Follow-up studies (N = 5) demonstrated long-term improvements in cognitive and psychological outcomes (N = 3), and the intervention groups showed a plateau effect of cognitive functioning compared with the cognitive decline experienced by control groups (N = 2). CCT and VRCT were moderately effective in long-term improvement of cognition for those at high risk of cognitive decline. Total intervention time did not mediate efficacy. Future research needs to improve study design by including larger samples, longitudinal designs, and a greater range of outcome measures, including functional and quality of life measures, to assess the wider effect of cognitive training on individuals at high risk of cognitive decline.
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Several studies have provided evidence that ICT-based cognitive training tools are efficient as adjunct therapy for recovering or improving performance on cognitive skills and self-confidence, and for early intervention in individuals with MCI and age-related cognitive decline.
“Several studies have provided evidence about the efficiency of cognitive training tools based on information and communication technologies (ICT) when applied as an adjunct therapy for recovering or improving performance on cognitive skills and self-confidence, as well as for an early intervention in individuals with MCI and age-related cognitive decline [8,9,10,11,12].”
From Designing ICTs for Users with Mild Cognitive Impairment: A Usability Study (2020) · cites this paper as [8]
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- Authors
- Coyle, H., Traynor, V., & Solowij, N.
- Affiliations
- University of Wollongong (AU)
- Venue
- The American Journal of Geriatric Psychiatry
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 23
- Issue
- 4
- Pages
- 335-359
- ISSN
- 1064-7481 (ISSN-L)
- OpenAlex
- W2047680862
- Cited by
- 274
- References
- 87
- Citations by year
- 2026: 14 · 2025: 22 · 2024: 21 · 2023: 21 · 2022: 33 · 2021: 39 · 2020: 34 · 2019: 26 · 2018: 20 · 2017: 22 · 2016: 11 · 2015: 8 · 2014: 2
- FWCI
- 1.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Geriatric Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Research Online (University of Wollongong) (submittedVersion)
- Figshare (submittedVersion)
- Funders
- Illawarra Health and Medical Research Institute
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- computerized cognitive training, cognitive decline, mild cognitive impairment, dementia, attention, executive function, memory, depressive symptoms, anxiety, memory strategies, activities of daily living, long-term cognitive outcomes
- MeSH terms
- Dementia, Humans, Therapy, Computer-Assisted, User-Computer Interface, Cognitive Behavioral Therapy, Treatment Outcome, Cognitive Dysfunction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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