The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Using virtual reality-based training to improve cognitive function, instrumental activities of daily living and neural efficiency in older adults with mild cognitive impairment
Abstract
BACKGROUND: A combination of physical and cognitive training appears to be the effective intervention to improve cognitive function in older adults with mild cognitive impairment (MCI). Computing technology such as virtual reality (VR) may have the potential to assist rehabilitation in shaping brain health. However, little is known about the potential of VR-based physical and cognitive training designed as an intervention for cognition and brain activation in elderly patients with MCI. Moreover, whether a VR program designed around functional tasks can improve their instrumental activities of daily living (IADL) requires further investigation. AIM: This study investigated the effects of 12 weeks of VR-based physical and cognitive training on cognitive function, brain activation and IADL and compared the VR intervention with combined physical and cognitive training. DESIGN: A single-blinded randomized controlled trial. SETTING: Communities and day care centers in Taipei, Taiwan. POPULATION: Older adults with mild cognitive impairment. METHODS: Thirty-four community-dwelling older adults with MCI were randomized into either a VR-based physical and cognitive training (VR) group or a combined physical and cognitive training (CPC) group for 36 sessions over 12 weeks. Participants were assessed for their cognitive function (global cognition, executive function and verbal memory) and IADL at pre- and postintervention. Changes in prefrontal cortex activation during the global cognition test were also captured by functional near-infrared spectroscopy (NIRS) to identify the potential mediating pathway of the intervention. RESULTS: Both groups showed improved executive function and verbal memory (immediate recall). However, only the VR group showed significant improvements in global cognition (P<0.001), verbal memory (delayed recall, P=0.002), and IADL (P<0.001) after the intervention. The group × time interaction effects further demonstrated that IADL were more significantly improved with VR training than with CPC training (P=0.006). The hemodynamic data revealed decreased activation in prefrontal areas after training (P=0.0015), indicative of increased neural efficiency, in the VR-trained subjects. CONCLUSIONS: VR-based physical and cognitive training improves cognitive function, IADL and neural efficiency in older adults with MCI. CLINICAL REHABILITATION IMPACT: VR training could be implemented for older adults with MCI.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment
Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J. L., & Chertkow, H. (2005) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2005.53221.x · Cited by 25,553
Assessment of Older People: Self-Maintaining and Instrumental Activities of Daily Living
Lawton, M. P., & Brody, E. M. (1969) · The Gerontologist · doi:10.1093/geront/9.3_part_1.179 · Cited by 18,540
Diamond, A. (2013) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143750 · Cited by 13,268
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Exercise and Physical Activity for Older Adults
Chodzko-Zajko, W. J., Proctor, D. N., Fiatarone Singh, M. A., Minson, C. T., Nigg, C. R., Salem, G. J., & Skinner, J. S. (2009) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181a0c95c · Cited by 5,153
2016 Alzheimer's disease facts and figures
Alzheimer's Association (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.03.001 · Cited by 5,069
Hemispheric asymmetry reduction in older adults: the HAROLD model
Cabeza, R. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.1.85 · Cited by 2,125
Heyn, P., Abreu, B. C., & Ottenbacher, K. J. (2004) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2004.03.019 · Cited by 1,223
Nagamatsu, L. S., Chan, A., Davis, J. C., Beattie, B. L., Graf, P., Voss, M. W., Sharma, D., & Liu-Ambrose, T. (2013) · Journal of Aging Research · doi:10.1155/2013/861893 · Cited by 1,089
Mandolesi, L., Polverino, A., Montuori, S., Foti, F., Ferraioli, G., Sorrentino, P., & Sorrentino, G. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00509 · Cited by 1,038
Cited by
Virtual reality in the diagnostic and therapy for mental disorders: A systematic review
Wiebe, A., Kannen, K., Selaskowski, B., Mehren, A., Thöne, A.-K., Pramme, L., Blumenthal, N., Li, M., Asché, L., Jonas, S., et al. (2022) · Clinical Psychology Review · doi:10.1016/j.cpr.2022.102213 · Cited by 223
Son, C., & Park, J.-H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192315875 · Cited by 51
Metadata
- Authors
- Liao, Y.-Y., Tseng, H.-Y., Lin, Y.-J., Wang, C.-J., & Hsu, W.-C.
- Venue
- European Journal of Physical and Rehabilitation Medicine
- Publisher
- Edizioni Minerva Medica
- Published
- 2020-02
- Volume
- 56
- Issue
- 1
- Pages
- 47-57
- ISSN
- 1973-9087 (ISSN-L)
- 1973-9095
- OpenAlex
- W2980888435
- Cited by
- 265
- References
- 48
- FWCI
- 18.67
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Using virtual reality-based training to improve cognitive function, instrumental activities of daily living and neural efficiency in older adults with mild cognitive impairment. https://app.cochat.ai/papers/10.23736/s1973-9087.19.05899-4
- The paper
- Liao, Y.-Y., Tseng, H.-Y., Lin, Y.-J., Wang, C.-J., & Hsu, W.-C. (2020). Using virtual reality-based training to improve cognitive function, instrumental activities of daily living and neural efficiency in older adults with mild cognitive impairment. European Journal of Physical and Rehabilitation Medicine. https://doi.org/10.23736/s1973-9087.19.05899-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.