Anthony Pak-Hin Kong1, Cherie Wan-Yin Wong2. 1. School of Communication Sciences and Disorders, University of Central Florida, Orlando. 2. Department of Special Education and Counselling, The Education University of Hong Kong.
Abstract
Purpose: This study investigated which of the three analytic approaches of oral discourse, including linguistically based measures, proposition-based measures, and story grammar, best correlated with aphasia severity and with naïve listeners' ratings on aphasic productions. The predictive power of these analytic approaches to aphasia severity and fluency status of people with aphasia (PWA) was examined. Finally, which approach best discriminated fluent versus nonfluent PWA was determined. Method: Audio files and orthographic transcriptions of the storytelling task "The Boy Who Cried Wolf" from 68 PWA and 68 controls were extracted from the Cantonese AphasiaBank. Each transcript was analyzed using these 3 systems. Results: The linguistic approach of discourse analysis best correlated with aphasia severity and naïve listeners' subjective ratings. Although both linguistically based and proposition-based measures significantly predicted aphasia severity, a subset of linguistic measures focusing on the quantity and efficiency of production were particularly useful for clinical estimation of the fluency status of aphasia. Conclusions: The linguistically based measures appeared to be the most clinically effective and powerful in reflecting PWA's performance of spoken discourse.
Purpose: This study investigated which of the three analytic approaches of oral discourse, including linguistically based measures, proposition-based measures, and story grammar, best correlated with aphasia severity and with naïve listeners' ratings on aphasic productions. The predictive power of these analytic approaches to aphasia severity and fluency status of people with aphasia (PWA) was examined. Finally, which approach best discriminated fluent versus nonfluent PWA was determined. Method: Audio files and orthographic transcriptions of the storytelling task "The Boy Who Cried Wolf" from 68 PWA and 68 controls were extracted from the Cantonese AphasiaBank. Each transcript was analyzed using these 3 systems. Results: The linguistic approach of discourse analysis best correlated with aphasia severity and naïve listeners' subjective ratings. Although both linguistically based and proposition-based measures significantly predicted aphasia severity, a subset of linguistic measures focusing on the quantity and efficiency of production were particularly useful for clinical estimation of the fluency status of aphasia. Conclusions: The linguistically based measures appeared to be the most clinically effective and powerful in reflecting PWA's performance of spoken discourse.