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Errorless learning of computer-generated words in a patient with semantic dementia
Regina Jokel1, Elizabeth Rochon, Nicole D Anderson
1Kunin-Lunenfeld Applied Research Unit, Baycrest, Toronto, Canada. rjokel@baycrest.org
Neuropsychological Rehabilitation
|June 9, 2009
Summary
Computer-based therapy effectively treated anomia in semantic dementia using an errorless learning approach. This approach successfully retrained lost words and is feasible for progressive disorders.
Area of Science:
- Neurology
- Speech-Language Pathology
- Cognitive Science
Background:
- Anomia, a common symptom of semantic dementia, significantly impacts communication.
- Computer-based interventions offer a scalable solution for speech and language therapy.
Observation:
- A patient with semantic dementia received computer-based therapy using an errorless learning approach.
- Treatment focused on word recall for items with and without retained semantic knowledge.
Findings:
- The errorless learning approach demonstrated effectiveness in improving naming abilities.
- Treated words were maintained at three-month follow-up, particularly those with existing semantic knowledge.
- Generalization to untrained words with retained semantic knowledge was observed.
Implications:
- Computer-based therapy is a feasible and effective method for treating anomia in progressive neurological conditions.
- Errorless learning is a valuable strategy for retraining word recall in semantic dementia.
- Targeting words with existing semantic knowledge may enhance treatment outcomes.
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