Abstract
Developing rehabilitation techniques to combat cognitive decline is a key goal of healthcare strategies aimed at promoting increased longevity and better quality of life for individuals with Alzheimer's disease (AD). In AD, problems with episodic memory and word-finding greatly affect everyday life and, as such, these symptoms provide a clear clinical target for therapeutic interventions. Errorless learning (EL) has been proposed as a particularly effective technique for relearning in individuals with memory dysfunction, including AD. However, EL learning has rarely been directly contrasted with other more traditional trial-and-error techniques (errorful learning or EF) in individuals with AD, especially in the context of alleviating word-finding problems. In the current study, we directly contrasted the therapeutic gains of an EL learning paradigm (consisting of reading/repetition of object names) with an EF learning technique (comprised of phonemic/orthographic cueing) in eight mild to moderate AD patients with pronounced anomia. Both techniques were administered concurrently in sessions run twice a week over a five-week period. Therapeutic gains were assessed at one week and five weeks post-intervention using confrontation naming. Our results suggest that, both at the group and individual patient level, EL and EF techniques were equally effective. Correlational analyses of overall therapy gains and background assessments of patient neuropsychology revealed that individuals with better scores on measures of semantic memory, pre-intervention naming, and recognition memory demonstrated larger therapy gains. No individual patient showed a significant advantage for EL over EF learning, however, for patients that showed a numerical advantage in this direction. These results suggest that either EL or EF therapy can be used to alleviate word-finding problems in AD.
Acknowledgments
We would like to thank all the patients and their carers for their continued support. This project was supported by funding from the Alzheimer's Research Trust (a collaborative network grant to MALR, RJW and ASB) and an MRC programme grant to MALR (G0501632). We would like to thank Vicky Scott and Sheeba Ehsan for help with data collection.