The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Using Virtual Reality for Cognitive Training of the Elderly
Open accessAbstract
There is a pressing demand for improving the quality and efficacy of health care and social support services needed by the world's growing elderly population, especially by those affected by mild cognitive impairment (MCI) and Alzheimer's disease (AD)-type early-stage dementia. Meeting that demand can significantly benefit from the deployment of innovative, computer-based applications capable of addressing specific needs, particularly in the area of cognitive impairment mitigation and rehabilitation. In that context, we present here our perspective viewpoint on the use of virtual reality (VR) tools for cognitive rehabilitation training, intended to assist medical personnel, health care workers, and other caregivers in improving the quality of daily life activities of people with MCI and AD. We discuss some effective design criteria and developmental strategies and suggest some possibly useful protocols and procedures. The particular innovative supportive advantages offered by the immersive interactive characteristics inherent to VR technology are discussed.
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“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 [10]
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“The potential applications of VR systems to assess and train AD patients has been reported by several studies (315–320).”
From The Multidisciplinary Approach to Alzheimer’s Disease and Dementia. A Narrative Review of Non-Pharmacological Treatment (2018) · cites this paper as [319]
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Cites
The global prevalence of dementia: a systematic review and metaanalysis.
Prince, M., Bryce, R., Albanese, E., Wimo, A., Ribeiro, W., & Ferri, C. P. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.11.007 · Cited by 4,941
2013 Alzheimer's disease facts and figures
Thies, W. H., & Bleiler, L. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.02.003 · Cited by 3,372
Nonpharmacological therapies in Alzheimer’s disease: a systematic review of efficacy
Olazarán, J., Reisberg, B., Clare, L., Cruz, I., Peña-Casanova, J., del Ser, T., Woods, B., Beck, C., Auer, S., Lai, C., et al. (2010) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000316119 · Cited by 937
Smith, G. E., Housen, P., Yaffe, K., Ruff, R., Kennison, R. F., Mahncke, H. W., & Zelinski, E. M. (2009) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2008.02167.x · Cited by 785
Celone, K., Calhoun, V. D., Dickerson, B. C., Atri, A., Chua, E. F., Miller, S. L., DePeau, K. M., Rentz, D., Selkoe, D. J., Blacker, D., et al. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2250-06.2006 · Cited by 768
Changes in memory processing with age
Grady, C. (2000) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00073-8 · Cited by 635
Cordell, C. B., Soo Borson, B., Boustani, M. A., Chodosh, J., Reuben, D. B., Verghese, J., Thies, W. H., Fried, L. B., & Workgroup, M. D. O. C. I. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.09.011 · Cited by 581
Virtual Reality in Psychotherapy: Review
Riva, G. (2005) · CyberPsychology & Behavior · doi:10.1089/cpb.2005.8.220 · Cited by 532
Training-related brain plasticity in subjects at risk of developing Alzheimer’s disease
Belleville, S., Clément, F., Mellah, S., Gilbert, B., Fontaine, F. S., & Gauthier, S. G. (2011) · Brain · doi:10.1093/brain/awr037 · Cited by 420
Belleville, S., Gilbert, B., Fontaine, F. S., Gagnon, L., Ménard, É., & Gauthier, S. G. (2006) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000096316 · Cited by 417
Research works printed but not linked: 3
- Tost D, Virtual Rehabil Inter Conf, 87
- Rizzo A, Proc IEEE Virtual Reality Conf
- Imbeault F, IEEE 1st Inter Conf Serious Games and Applicat for Health (SeGAH)
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Zucchella, C., Sinforiani, E., Tamburin, S., Federico, A., Mantovani, E., Bernini, S., Casale, R., & Bartolo, M. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.01058 · Cited by 297
Liao, Y.-Y., Chen, I.-H., Lin, Y., Chen, Y., & Hsu, W.-C. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00162 · Cited by 325
Liao, Y.-Y., Tseng, H., Lin, Y., Wang, C.-J., & Hsu, W.-C. (2020) · European Journal of Physical and Rehabilitation Medicine · doi:10.23736/s1973-9087.19.05899-4 · Cited by 289
Kim, O., Pang, Y., & Kim, J. (2019) · BMC Psychiatry · doi:10.1186/s12888-019-2180-x · Cited by 243
Thapa, N., Park, H. J., Yang, J., Son, H., Jang, M., Lee, J., Kang, S. W., Park, K. W., & Park, K. W. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9051283 · Cited by 230
Metadata
- Authors
- García-Betances, R. I., Jiménez-Mixco, V., Arredondo, M. T., & Cabrera-Umpiérrez, M. F.
- Affiliations
- Universidad Politécnica de Madrid (ES)
- Corresponding author
- García-Betances, Rebeca I.
- Venue
- American Journal of Alzheimer's Disease & Other Dementias®
- Publisher
- SAGE Publications
- Published
- 2014-08-07
- Volume
- 30
- Issue
- 1
- Pages
- 49-54
- ISSN
- 0888-4897 (ISSN-L)
- 1533-3175
- 1938-2731
- PMC
- PMC10852905
- OpenAlex
- W2321270736
- Cited by
- 187
- References
- 42
- Citations by year
- 2026: 12 · 2025: 21 · 2024: 16 · 2023: 15 · 2022: 30 · 2021: 26 · 2020: 20 · 2019: 17 · 2018: 15 · 2017: 9 · 2016: 4 · 2015: 2
- FWCI
- 3.82
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Alzheimer s Disease & Other Dementias® (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- World Health Organization
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- virtual reality, cognitive training, cognitive rehabilitation, mild cognitive impairment, Alzheimer's disease, early-stage dementia, older adults, immersive interaction, user-centered design, caregiver support, training protocols
- MeSH terms
- Aged, Alzheimer Disease, Cognition Disorders, Humans, User-Computer Interface, Cognitive Behavioral Therapy, Cognitive Dysfunction
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