Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-23T04:46:58.425Z Has data issue: false hasContentIssue false
  • English
  • Français

Detecting Everyday Action Deficits in Alzheimer’s Disease Using a Nonimmersive Virtual Reality Kitchen

Published online by Cambridge University Press:  10 March 2014

Philippe Allain ,
Déborah Alexandra Foloppe ,
Jérémy Besnard ,
Takehiko Yamaguchi ,
Frédérique Etcharry-Bouyx ,
Didier Le Gall ,
Pierre Nolin  and
Paul Richard
Philippe Allain*
Affiliation:
LUNAM Université, Laboratoire de Psychologie des Pays de Loire (UPRES EA 4638), Université d’Angers, France Unité de Neuropsychologie, Département de Neurologie, CHU Angers, France
Déborah Alexandra Foloppe
Affiliation:
LUNAM Université, Laboratoire de Psychologie des Pays de Loire (UPRES EA 4638), Université d’Angers, France LUNAM Université, Laboratoire Angevin de Recherche en Ingénierie des Systèmes (UPRES EA 7315), Université d’Angers, France
Jérémy Besnard
Affiliation:
LUNAM Université, Laboratoire de Psychologie des Pays de Loire (UPRES EA 4638), Université d’Angers, France
Takehiko Yamaguchi
Affiliation:
Department of applied electronics, Faculty of Industrial Science and Technology, Tokyo University of Science, Tokyo, Japan
Frédérique Etcharry-Bouyx
Affiliation:
LUNAM Université, Laboratoire de Psychologie des Pays de Loire (UPRES EA 4638), Université d’Angers, France Unité de Neuropsychologie, Département de Neurologie, CHU Angers, France
Didier Le Gall
Affiliation:
LUNAM Université, Laboratoire de Psychologie des Pays de Loire (UPRES EA 4638), Université d’Angers, France Unité de Neuropsychologie, Département de Neurologie, CHU Angers, France
Pierre Nolin
Affiliation:
Laboratoire de Recherche Interdisciplinaire en Réalité Virtuelle, Université du Québec à Trois-Rivières, Trois-Rivières, Quebec, Canada
Paul Richard
Affiliation:
LUNAM Université, Laboratoire Angevin de Recherche en Ingénierie des Systèmes (UPRES EA 7315), Université d’Angers, France
*
Correspondence and reprint requests to: Philippe Allain, Unité de Neuropsychologie, Département de Neurologie, Centre Hospitalier Universitaire, 4 rue Larrey, 49033 Angers, Cedex 09, France. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Alzheimer’s disease (AD) causes impairments affecting instrumental activities of daily living (IADL). Transdisciplinary research in neuropsychology and virtual reality has fostered the development of ecologically valid virtual tools for the assessment of IADL, using simulations of real life activities. Few studies have examined the benefits of this approach in AD patients. Our aim was to examine the utility of a non-immersive virtual coffee task (NI-VCT) for assessment of IADL in these patients. We focus on the assessment results obtained from a group of 24 AD patients on a task designed to assess their ability to prepare a virtual cup of coffee, using a virtual coffee machine. We compared performance on the virtual task to an identical daily living task involving the actual preparation of a cup of coffee, as well as to global cognitive, executive, and caregiver-reported IADL functioning. Relative to 32 comparable, healthy elderly (HE) controls, AD patients performed worse than HE controls on all tasks. Correlation analyses revealed that NI-VCT measures were related to all other neuropsychological measures. Moreover, regression analyses demonstrated that performance on the NI-VCT predicted actual task performance and caregiver-reported IADL functioning. Our results provide initial support for the utility of our virtual kitchen for assessment of IADL in AD patients. (JINS, 2014, 20, 1–10)

Keywords

Alzheimer’s diseaseVirtual realityActionActivities of daily living (ADL)Instrumental activities of daily living (IADL)Neuropsychological assessment
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 20 , Issue 5 , May 2014 , pp. 468 - 477
Copyright
Copyright © The International Neuropsychological Society 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adam, S., Van der Linden, M., Juillerat, A.C., & Salmon, E. (2000). The cognitive management of daily life activities in patients with mild to moderate Alzheimer’s disease in a day care center: A case report. Neuropsychological Rehabilitation, 10, 485–509.Google Scholar
Agniel, A., Joanette, Y., Doyon, B., & Duchein, C. (1992). Protocole Montréal-Toulouse d’évaluation des gnosies visuelles et auditives. Isbergues: L’Ortho-Edition.Google Scholar
Barberger-Gateau, P., Fabrigoule, C., Rouch, I., Letenneur, L., & Dartigues, J.F. (1999). Neuropsychological correlates of self-reported performance in instrumental activities of daily living and prediction of dementia. Journals of Gerontolology. Series B. Psychological Sciences and Social Sciences, 54, 293–303.Google Scholar
Beland, R., & Giroud, F. (1992). Protocole Montréal-Toulouse d’examen linguistique de l’aphasie (Version révisée). Isbergues: L’Ortho-Edition.Google Scholar
Bialystok, E., Craik, F.I., & Stefurak, T. (2008). Planning and task management in Parkinson’s disease: Differential emphasis in dual-task performance. Journal of the International Neuropsychological Society, 14, 257–265.CrossRefGoogle ScholarPubMed
Botvinick, M., & Plaut, D. (2004). Doing without schema hierarchies: A recurrent connectionist approach to routine sequential action and its pathologies. Psychological Review, 111, 395–429.CrossRefGoogle Scholar
Boyle, P.A., Malloy, P.F., Salloway, S., Cahn-Weiner, D.A., Cohen, R., & Cummings, J.L. (2003). Executive dysfunction and apathy predict functional impairment in Alzheimer disease. American Journal of Geriatric Psychiatry, 11, 214–221.Google Scholar
Cahn-Weiner, D.A., Ready, R.E., & Malloy, P.F. (2003). Neuropsychological predictors of everyday memory and everyday functioning in patients with mild Alzheimer’s disease. Journal of Geriatric and Psychiatric Neurology, 16, 84–89.CrossRefGoogle ScholarPubMed
Chaytor, N.S., Schmitter-Edgecombe, M., & Burr, R. (2006). Improving the ecological validity of executive functioning tests: Environmental demands and compensatory strategies. Archives of Clinical Neuropsychology, 21, 217–227.Google Scholar
Cooper, R., & Shallice, T. (2000). Contention scheduling and the control of routine activities. Cognitive Neuropsychology, 17, 297–338.Google Scholar
Cushman, L.A., Stein, K., & Duffy, C.J. (2008). Detecting navigational deficits in cognitive aging and Alzheimer disease using virtual reality. Neurology, 71, 888–895.Google Scholar
De Bettignies, B.H., Mahurin, R.K., & Pirozzolo, F.J. (1993). Functional status in Alzheimer’s disease and multi-infarct dementia: A comparison of patient performance and caregiver report. Clinical Gerontologist, 12, 31–49.Google Scholar
Dickinson, A., Arnott, J., & Prior, S. (2007). Methods for human-computer interaction research with older people. Behaviour & Information Technology, 26, 343–352.CrossRefGoogle Scholar
Dubois, B., Slachevsky, A., Litvan, I., & Pillon, B. (2000). The FAB: A Frontal Assessment Battery at bedside. Neurology, 55, 1621–1626.Google Scholar
Festa, E.K., Heindel, W.C., & Ott, B.R. (2010). Dual-task conditions modulate the efficiency of selective attention mechanisms in Alzheimer’s disease. Neuropsychologia, 48, 3252–3261.Google Scholar
Folstein, M., Folstein, S., & McHugh, P. (1975). Mini-mental state: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198.CrossRefGoogle Scholar
Giovannetti, T., Bettcher, B.M., Brennan, L., Libon, D.J., Burke, M., Duey, K., … Wambach, D. (2008). Characterization of everyday functioning in mild cognitive impairment: A direct assessment approach. Dementia and Geriatric Cognitive Disorders, 25, 359–365.CrossRefGoogle ScholarPubMed
Giovannetti, T., Bettcher, B.M., Brennan, L., Libon, D.J., Kessler, R.K., & Duey, K. (2008). Coffee with jelly or unbuttered toast: Omissions and commissions are dissociable aspects of everyday action impairment in Alzheimer’s disease. Neuropsychology, 22, 235–245.Google Scholar
Giovannetti, T., Schmidt, K., Gallo, J., Sestito, N., & Libon, D.J. (2006). Everyday action in dementia: Evidence for differential deficit in Alzheimer’s disease versus subcortical vascular dementia. Journal of the International Neuropsychological Society, 12, 45–53.Google Scholar
Giovannetti, T., Schwartz, M.F., & Buxbaum, L.J. (2007). The coffee challenge: A new method for the study of everyday action errors. Journal of Clinical and Experimental Neuropsychology, 29, 690–705.CrossRefGoogle Scholar
Josman, N., Milika Ben-Chaim, N., Friedrich, H., & Weiss, P.L. (2008). Effectiveness of virtual reality for teaching street-crossing skills to children and adolescents with autism. Journal on Disability and Human Development, 7, 49–56.Google Scholar
Kawano, N., Iwamoto, K., Ebe, K., Aleksic, B., Noda, A., Umegaki, H., … Ozaki, N. (2012). Slower adaptation to driving simulator and simulator sickness in older adults. Aging Clinical and Experimental Research, 24, 285–289.CrossRefGoogle ScholarPubMed
Kluger, A., Gianutsos, J.G., Golomb, J., Ferris, S.H., George, A.E., Franssen, E., & Reisberg, B. (1997). Patterns of motor impairement in normal aging, mild cognitive decline, and early Alzheimer’s disease. Journal of Gerontology Series B: Psychological Sciences and Social Sciences, 52, 28–39.Google Scholar
Lawton, M.P., & Brody, E.M. (1969). Assessment of older people: Self-maintaining and instrumental activities of daily life. The Gerontologist, 9, 179–186.Google Scholar
Lechowski, L., Dieudonne, B., Tortrat, D., Teillet, L., Robert, P.H., Benoit, M., … Vellas, B. (2003). Role of behavioural disturbance in the loss of autonomy for activities of daily living in Alzheimer patients. International Journal of Geriatric Psychiatry, 18, 977–982.CrossRefGoogle ScholarPubMed
Lee, J.H., Ku, J., Kim, H., Cho, W., Kim, B., Kim, I.Y., … Wiederhold, M.D. (2003). A virtual reality system for the assessment and rehabilitation of the activities of daily living. Cyberpsychology and Behavior, 6, 383–388.Google Scholar
Mast, B.T., Azar, A.R., MacNeill, S.E., & Lichtenberg, P.A. (2004). Depression and activities of daily living predict rehospitalization within 6 months of discharge from geriatric rehabilitation. Rehabilitation Psychology, 49, 219–223.CrossRefGoogle Scholar
McKhann, G., Drachmann, D., Folstein, M., Katzman, R., Price, D., & Stadan, E.M. (1984). Clinical diagnosis of Alzheimer’s disease: Report of the NINCDS-ADRDA work group under the auspices of the department of health and human services task force on Alzheimer’s disease. Neurology, 34, 939–943.CrossRefGoogle ScholarPubMed
Millán-Calenti, J.C., Tubio, J., Pita-Fernandez, S., Rochette, S., Lorenzo, T., & Maseda, A. (2012). Cognitive impairment as predictor of functional dependence in an elderly sample. Archives of Gerontology and Geriatrics, 54, 197–201.Google Scholar
Mitchell, M.B., Miller, L.S., Woodard, J.L., Davey, A., Martin, P., Burgess, M., & Poon, L.W. (2011). Regression-based estimates of observed functional status in centenarians. The Gerontologist, 51(2), 179–189.Google Scholar
Noale, M., Maggi, S., Minicuci, N., Marzari, C., Destro, C., Farchi, G., … Crepaldi, G. (2003). Dementia and disability: Impact on mortality. Dementia & Geriatric Cognitive Disorders, 16, 7–14.CrossRefGoogle ScholarPubMed
Nolin, P., Stipanici, A., Henry, M., Joyal, C.C., & Allain, P. (2012). Virtual reality as a screening tool for sports concussion in adolescents. Brain Injury, 26, 1564–1573.Google Scholar
Plancher, G., Tirarda, A., Gyselincka, V., Nicolas, S., & Piolino, P. (2012). Using virtual reality to characterize episodic memory profiles in amnestic mild cognitive impairment and Alzheimer’s disease: Influence of active and passive encoding. Neuropsychologia, 50, 592–602.Google Scholar
Ramsden, C.M., Kinsella, G.J., Ong, B., & Storey, E. (2008). Performance of everyday actions in mild Alzheimer’s Disease. Neuropsychology, 22, 17–26.Google Scholar
Rizzo, A.A., Schultheis, M.T., Kerns, K.A., & Mateer, C. (2004). Analysis of assets for virtual reality applications in neuropsychology. Neuropsychological Rehabilitation, 14, 207–239.Google Scholar
Rusted, J.M., & Sheppard, L.M. (2002). Action-based memory in people with dementia: A longitudinal look at tea making. Neurocase, 8, 111–126.Google Scholar
Schwartz, M.F., Buxbaum, L.J., Ferraro, M., Veramonti, T., & Segal, M. (2003). Naturalistic action test. Suffolk, England: Pearson Assessment.Google Scholar
Schwartz, M.F., Montgomery, M., Buxbaum, L.J., Lee, S., Carew, T.G., Coslett, H.B., … Mayer, N. (1998). Naturalistic action impairment in closed head injury. Neuropsychology, 12(1), 13–28.Google Scholar
Schwartz, M.F., Segal, M.E., Veramonti, T., Ferraro, M., & Buxbaum, L.J. (2002). The Naturalistic Action Test: A standardised assessment for everyday-action impairment. Neuropsychological Rehabilitation, 12, 311–339.Google Scholar
Senanarong, V., Poungvarin, N., Jamjumras, P., Sriboonroung, A., Danchaivijit, C., Udomphanthuruk, S., & Cummings, J.L. (2005). Neuropsychiatric symptoms, functional impairment and executive ability in Thai patients with Alzheimer’s disease. International Psychogeriatry, 17, 81–90.CrossRefGoogle ScholarPubMed
Starkstein, S.E., Brockman, S., Bruce, D., & Petracca, G. (2010). Anosognosia is a significant predictor of apathy in Alzheimer's disease. The Journal of Neuropsychiatry and Clinical Neuroscience, 22, 378–383.Google Scholar
Staub, B., Doignon-Camus, N., Després, O., & Bonnefond, A. (2013). Sustained attention in the elderly: What do we know and what does it tell us about cognitive aging? Ageing Research Review, 12, 459–468.Google Scholar
Tekin, S., Fairbanks, L.A., O’Connor, S., Rosenberg, S., & Cummings, J.L. (2001). Activities of daily living in Alzheimer’s disease: Neuropsychiatric, cognitive, and medical illness influences. American Journal of Geriatric Psychiatry, 9, 81–86.CrossRefGoogle ScholarPubMed
Werner, P., Rabinowitz, S., Klinger, E., Korcyn, A.S., & Josman, N. (2009). The use of the virtual action planning supermarket for the diagnosis of mild cognitive impairment. Dementia and Geriatric Cognitive Disorders, 27, 301–309.Google Scholar
Widmann, C.N., Beinhoffa, U., & Riepea, M.W. (2012). Everyday memory deficits in very mild Alzheimer’s disease. Neurobiology of Aging, 33, 297–303.CrossRefGoogle ScholarPubMed
Wood, E., Willoughby, T., Rushing, A., Bechtel, L., & Gilbert, J. (2005). Use of computer input devices by older adults. Journal of Applied Gerontology, 24, 419–438.Google Scholar
Yamaguchi, T., Foloppe, D.A., Richard, P., Richard, E., & Allain, P. (2012). A dual-modal virtual reality kitchen for (re)learning of everyday cooking activities In Alzheimer’s disease. Presence: Teleoperators and Virtual Environments, 21, 43–57.Google Scholar
Yan, J.H., Rountree, S., Massman, P., Smith Doody, R., & Li, H. (2008). Alzheimer’s disease and mild cognitive impairment deteriorate fine movement control. Journal of Psychiatric Research, 42, 1203–1212.Google Scholar
Zhang, L., Abreu, B.C., Seale, G.S., Masel, B., Christiansen, C.H., & Ottenbacher, K.J. (2003). A virtual reality environment for evaluation of a daily living skill in brain injury rehabilitation: Reliability and validity. Archives of Physical Medicine and Rehabilitation, 84, 1118–1124.Google Scholar