What Can Animal Memory Study Bring to the Assessment of Memory and Cognitive Skills for Intellectual Disability?
- 103 Downloads
Three case studies are presented to investigate the possibility of evaluating memory and cognitive capacities of severe intellectual disability with attention given to the ecological environment. Two 22-year-old male patients and a 27-year-old male patient, all three with severe intellectual disability with no verbal communication skills, were evaluated with a new and original paradigm adapted to study cognition in humans from experimental paradigms. We developed a test based on animal models to complement the “home” scale of the Adolescent and Adult Psychoeducational Profile (AAPEP), an assessment instrument designed for adolescents and adults with severe developmental disabilities. Results show that the new instrument is helpful, not only to staff members who can better understand the poor performances of their patients in daily life activities but also in the elaboration of individual acquisition plans. These preliminary results demonstrate the interest in developing a larger controlled study and in publishing our procedure.
KeywordsIntellectual disabilities Cognitive behavior Learning disability Careers
- Edgerton, R. B. (1967). The cloak of competence: Stigma in the lives of the mentally retarded. Berkeley, California: University of California press.Google Scholar
- Gluck, M. A., & Myers, C. E. (2001). Gateway to memory: An introduction to neural network modeling of the hippocampus and learning. Cambridge Mass: Cambridge.Google Scholar
- Grobéty, M. C., Morand, M., & Schenk, F. (2000). Cognitive mapping in rats and humans : the tent-maze, a place learning task in visually disconnected environments. In S. O’Nuallain (Ed.), Spatial Cognition. Foundations and applications: Spatial cognition. Foundations and applications (vol. Vol. 26, (pp. 105–126)). Amsterdam: John Benjamins.Google Scholar
- Mercer, J. R. (1973). Labeling the mentally retarded. Berkeley, California: University of California press.Google Scholar
- Nelson, L., Johnson, J. K., Freedman, M., Lott, I., Groot, J., Chang, M., et al. (2005). Learning and memory as a function of age in Down syndrome: a study using animal-based tasks. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 29(3), 443–453. doi: 10.1016/j.pnpbp.2004.12.009.CrossRefGoogle Scholar
- Olton, D. S. (1983). Memory functions and the hippocampus. In W. Seifert (Ed.), Neurobiology of the hippocampus (pp. 335–373). London: Academic.Google Scholar
- Rasmussen, M., Barnes, C. A., & McNaughton, B. L. (1989). A systematic test of cognitive mapping, working memory temporal discontinuity theories of hippocampal function. Psychobiology, 17, 345–348.Google Scholar
- Rossier, J., Grobéty, M. C., Spreng, M., & Schenk, F. (2000). Impact of space configuration on route choices in humans and rats. In E. a. K. H. Thommen (Ed.), Comparer ou prédire : exemples de recherches en psychologie comparative aujourd’hui (pp. 37–52). Fribourg: Les Éditions Universitaires de Fribourg.Google Scholar
- Salkever, D. S. (2000). Activity status, life satisfaction and perceived productivity for young adults with developmental disabilities. Journal of Rehabilitation, 66, 4–13.Google Scholar
- Wechsler, D. (1991). Wechsler intelligence scale for children—revised manual. New York: The Psychological Corporation.Google Scholar
- Wechsler, D. (1997). Wechsler Adult Intelligence Scale (3rd ed.). San Antonio: The Psychological Corporation.Google Scholar
- Wehman, P., Revell, W. G., & Kregel, J. (1998). Supported employment: a decade of rapid growth and impact. American Rehabilitation, 24, 31–43.Google Scholar