Abstract
There is a lack of unified, standardised measures for cognitive decline in individuals with intellectual disabilities (ID), despite the fact that they can experience cognitive decline earlier and are a population in which mild neurocognitive disorder and dementia are likely under-diagnosed. Spatial navigation has been identified as a key indicator of mild cognitive decline, and Virtual Reality (VR) has been proposed as a potential tool to address this issue. However, there are a lack of VR tools aimed specifically at individuals with ID. To address this, a co-design methodology will be used to develop a VR platform to assess spatial navigational skills in individuals with ID. Additionally, EEG data will be used to validate the platform’s effectiveness. A within-subjects design will be used to evaluate the system’s effectiveness, and it is expected that this approach will lead to a system that can predict the onset of cognitive decline within this population.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Barrash, J.: Age-related decline in route learning ability. Dev. Neuropsychol. 10(3), 189–201 (1994). issn: 8756-5641. https://doi.org/10.1080/87565649409540578+
Beresford-Webb, J., et al.: CAMDEX-DS-II: A Comprehensive Assessment for Dementia in People with Down Syndrome and Others with Intellectual Disabilities, 2 edn, Manual. Pavilion Publishing and Media Ltd. (2021). isbn: 978-1-914010-78-1. https://www.pavpub.com/mental-health/camdex-ds-ii-the-cambridge-examination-for-mental-disorders-of-older-people-with-down-syndrome-and-others-with-intellectual-disabilities-version-ii-manual
Deb, S., et al.: Dementia screening questionnaire for individuals with intellectual disabilities. Brit. J. Psychiat. J. Mental Sci. 190, 440–444 (2007). issn: 0007–1250. https://doi.org/10.1192/bjp.bp.106.024984. pmid: 17470960
Edge, D., et al.: The utility of the montreal cognitive assessment as a mental capacity assessment tool for patients with a learning disability. Brit. J. Learn. Disabil. 44(3), 240–246 (2016). issn: 1354–4187. https://doi.org/10.1111/bld.12157
Evenhuis, H.M., Kengen, M.M.F., Eurlings, H.A.L.: The dementia questionnaire for people with intellectual disabilities. Neuropsychol. Assess. Dementia Down Syndr. Intell. Disabil., 39–51 (2009). isbn: 978-1-84800-248-7. https://doi.org/10.1007/978-1-84800-249-4_3
Fortea, J., et al.: Alzheimer’s disease associated with down syndrome: a genetic form of dementia. The Lancet Neurology 20(11), 930–942 (2021). issn: 1474-4422, 1474-4465. https://doi.org/10.1016/S1474-4422(21)00245-3. pmid: 34687637. https://www.thelancet.com/journals/laneur/article/PIIS1474-4422(21)00245-3/fulltext. Accessed 15 Mar 2023
Gazova, I., et al.: Spatial navigation|a unique window into physiological and pathological aging. Front. Aging Neurosci. 4 (2012). issn: 1663–4365. https://www.frontiersin.org/articles/10.3389/fnagi.2012.00016. Accessed 14 Mar 2023
Haigh, M.: An investigation into to the use of a BCI in combination with a VR headset. Nottingham Trent University (2022)
Harris, M.C., Brown, D.J., et al.: A methodology for the co- design of shared VR environments with people with intellectual disabilities: insights from the preparation phase., p. 14 (2022)
Harris, M.C., Lewis, J., et al.: Assessing the usability of current generation virtual reality in adults with intellectual disabilities. In: Proceedings/the 13th International Conference on Disability, Virtual Reality and Associated Technologies, p. 9 (2020)
Heller, T., Scott, H.M., Janicki, M.P.: Care- giving, intellectual disability, and dementia: report of the summit work- group on caregiving and intellectual and developmental disabilities. Alzheimer’s & Dementia: Transl. Res. Clin. Intervent. 4, 272–282 (2018). issn: 2352–8737. https://doi.org/10.1016/j.trci.2018.06.002. pmid: 30090847. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078103/. Accessed 10 Feb 2023
Hilton, C., et al.: Are age-related deficits in route learning related to control of visual attention? Psychol. Res. 84(6), 1473–1484 (2020). issn: 1430-2772. https://doi.org/10.1007/s00426-019-01159-5. https://doi.org/10.1007/s00426-019-01159-5. Accessed 14 Mar 2023
Krinsky-McHale, S.J., Silverman, W.: Dementia and mild cognitive impairment in adults with intellectual disability: issues of diagnosis. Dev. Disabil. Res. Rev. 18(1), 31–42 (2013). issn: 1940-5529. https://doi.org/10.1002/ddrr.1126. https://onlinelibrary.wiley.com/doi/abs/10.1002/ddrr.1126. Accessed 13 Mar 2023
Lin, C.-T., Chiu, T.-C., Gramann, K.: EEG correlates of spatial orientation in the human retrosplenial complex. NeuroImage 120, 123–132 (2015). issn: 1053-8119. https://doi.org/10.1016/j.neuroimage.2015.07.009. https://www.sciencedirect.com/science/article/pii/1053811915006187. Accessed 25 Oct 2022
Musaeus, C.S., et al.: Electroencephalographic functional connectivity is altered in persons with down syndrome and Alzheimer’s disease. J. Intellect. Disabil. Res. JIDR 65(3), 236–245 (2021). issn: 1365-2788. https://doi.org/10.1111/jir.12803. pmid: 33336867
Neto, E., et al.: EEG spectral features discriminate between Alzheimer’s and vascular dementia. Front. Neurol. 6 (2015). issn: 1664–2295. https://www.frontiersin.org/articles/10.3389/fneur.2015.00025. Accessed 14 Mar 2023
Paiva, A.F., et al.: Screening of cognitive changes in adults with intellectual disabilities: a systematic review. Brain Sci. 10(11), 848 (2020). issn: 2076-3425. https://doi.org/10.3390/brainsci10110848. pmid: 33198271. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698112/. Accessed 12 Sept 2022
Serrano-Pozo, A., Growdon, J.H.: Is Alzheimer’s Disease Risk Modi able?. J. Alzheimer’s Dis. JAD 67(3), 795–819 (2019). issn: 1387-2877. https://doi.org/10.3233/JAD181028. pmid: 30776012. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708279/. Accessed 09 Feb 2023
Standen, P.J., et al.: An evaluation of an adaptive learning system based on multimodal affect recognition for learners with intellectual disabilities. Brit. J. Educ. Technol. 51(5), 1748–1765 (2020). issn: 1467–8535. https://onlinelibrary.wiley.com/doi/abs/10.1111/bjet.13010. https://doi.org/10.1111/bjet.13010. Accessed 04 Nov 2022
Strydom, A., Hassiotis, A., Walker, Z.: Clinical use of structural magnetic resonance imaging in the diagnosis of dementia in adults with down’s syndrome. Irish J. Psychol. Med. 19(2), 60–63 (2002). issn: 0790-9667, 2051-6967. https://doi.org/10.1017/S0790966700006984. https://www.cambridge.org/core/journals/irish-journal-of-psychological-medicine/article/abs/clinical-use-of-structural-magnetic-resonance-imaging-in-the-diagnosis-of-dementia-in-adults-with-downs-syndrome/E0475F240C5B1A09ACB7BFF7D141E58B. Accessed 14 Mar 2023
Strydom, A., Livingston, G., et al.: Prevalence of dementia in intellectual disability using dierent diagnostic criteria. Brit. J. Psychiat. 191(2), 150–157 (2007). issn: 0007-1250, 1472-1465. https://doi.org/10.1192/bjp.bp.106.028845. https://www.cambridge.org/core/journals/the-british-journal-of-psychiatry/article/prevalence-of-dementia-in-intellectual-disability-using-different-diagnostic-criteria/6A5C7A6665B8FD3B58D039C13506B195. Accessed 10 Feb 2023
Tan, R.H., et al.: Retrosplenial cortex (BA 29) volumes in behavioral variant frontotemporal dementia and alzheimer’s disease. Dementia Geriatric Cogn. Disord. 35(3-4), 177–182 (2013). issn: 1421–9824. pmid: 23406695. https://doi.org/10.1159/000346392
Wilkinson, H., Janicki, M.P.: The dinburgh principles with accompanying guidelines and recommendations. J. Intell. Disabil. Res. 46(3), 279–284 (2002). issn: 1365-2788. https://doi.org/10.1046/j.1365-2788.2002.00393.x. https://onlinelibrary.wiley.com/doi/abs/10.1046/j.1365-2788.2002.00393.x. Accessed 10 Feb 2023
Zakzanis, K.K., et al.: Age and dementia related differences in spatial navigation within an immersive virtual environment. Med. Sci. Monit. 15(4), CR140–CR150 (2009). issn: 1234–1010, 1643–3750. pmid: 19333197. https://medscimonit.com/download/index/idArt/869613. Accessed 29 Nov 2022
Zeilinger, E.L., et al.: Informant-based assessment instruments for dementia and their measurement properties in persons with intellectual disability: systematic review protocol. BMJ Open 10(12), e040920 (2020). issn: 2044-6055, 2044-6055. https://doi.org/10.1136/bmjopen-2020-040920. pmid: 33293393. https://bmjopen.bmj.com/content/10/12/e040920. Accessed 13 Mar 2023
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Harris, M., Brown, D.J., Vyas, P., Lewis, J., Connor, B. (2023). Co-designing Virtual Environments for People with Intellectual Disabilities to Assess Cognitive Decline: Methodology. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1833. Springer, Cham. https://doi.org/10.1007/978-3-031-35992-7_42
Download citation
DOI: https://doi.org/10.1007/978-3-031-35992-7_42
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-35991-0
Online ISBN: 978-3-031-35992-7
eBook Packages: Computer ScienceComputer Science (R0)