Application of Semantic Feature Analysis as a Treatment for Aphasic Dysnomia

1995/11/01 by Mary Boyle, Carl A. Coelho, Carl Coelho · 7 citations
Neuroscience · Psychology · #Autism Spectrum Disorder Research #Behavioral and Psychological Studies #Neurobiology of Language and Bilingualism

paper · doi:10.1044/1058-0360.0404.94

openalex publication_date 1995/11/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/21

Abstract

Despite agreement that dysnomia affects virtually every aphasic patient, there is no consensus about the purpose and effectiveness of techniques to treat it. Semantic feature analysis (SFA), a treatment technique designed to improve retrieval of conceptual information by accessing semantic networks, was used to treat aphasic dysnomia in a 57-year-old male who exhibited Broca's aphasia secondary to a left frontoparietal ischemic infarction. SFA was effective for improving confrontation naming and for generalized improvement to untreated pictures. However, no generalization to connected speech was seen on the measures of mean words per minute, mean correct information units per minute, or the percentage of all words that were correct information units.

Citations

• AN IMPLICIT TECHNOLOGY OF GENERALIZATION1

Cited by

• What About Dissemination Science? Practical Recommendations for the Clinical Researcher in Communication Sciences and Disorders
• Effects of Semantic Feature Type, Diversity, and Quantity on Semantic Feature Analysis Treatment Outcomes in Aphasia
• Speech and language therapy for aphasia following stroke
• The effectiveness of semantic feature analysis: An evidence-based systematic review
• Clinical Outcomes Following Language-Specific Attention Treatment Versus Direct Attention Training for Aphasia: A Comparative Effectiveness Study
• Semantic Feature Analysis as a Functional Therapy Tool
• Influence of Cognitive Ability on Therapy Outcomes for Anomia in Adults With Chronic Poststroke Aphasia

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