Event Abstract

The Influence of Phonological Components Analysis Treatment on Lexical Access in Individuals with Aphasia

  • 1 University of Ottawa, Audiology and Speech-Language Pathology Program, Canada
  • 2 University of Toronto, Department of Speech-Language Pathology, Canada
  • 3 University of Iowa, Communication Sciences and Disorders, United States
  • 4 Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Canada
  • 5 UHN Toronto Rehabilitation Institute, Canada

Background: The Phonological Components Analysis (PCA) treatment for naming deficits in aphasia has been shown by us and others to be efficacious (Leonard et al., 2015; Leonard et al., 2008; van Hees et al, 2013), with associated neural changes (Rochon et al., 2010). This treatment protocol was modeled after the Semantic Features Analysis approach (Boyle & Coelho, 1995) and both capitalize on the presumed bidirectional connections between semantics and phonology during lexical access (Foygel & Dell, 2000). Based on this two-step interactive activation model, the purpose of the present study was to examine the influence of PCA therapy on the strength of both the semantic and phonological connections during lexical access in individuals with aphasia. Methods: The data reported here are part of a larger study investigating the influence of intensity of PCA treatment on naming performance (Rochon et al., in preparation). In that study participants with aphasia were randomly assigned to one of two treatment conditions (intense or standard). They were asked to name pictured items and naming accuracy of treated (n = 30) and untreated (n = 30) words was collected pre- and post-therapy. Two independent raters, blind to treatment condition and pre- post-treatment status coded the responses by error type (e.g., semantic, formal, unrelated, etc.) as per Dell et al. (1997). Point-to-point agreement was 93%. The scored responses, per patient, were entered into a web-based computational model of lexical access (Walker & Hickok, 2015) in order to determine the strength of the phonological and semantic connections pre- and post-therapy. Results: The outcome measure for this analysis, connection weight, was submitted to a 2 x 2 x 2 x 2 mixed ANOVA with 3 repeated measures (treatment status [treated vs untreated]; session [pre vs post]; parameter [semantic vs phonological]; and one between-subjects factor (intensity [intense vs standard]). There were significant main effects of treatment status (treated > untreated), F (1, 12) =12.30, p = .004; session (post > pre), F (1, 12) = 24.92, p < .001; and parameter (phonological > semantic), F (1, 12) =9.78, p = .009. A significant 3-way interaction, treatment status x session x parameter, F (1, 12) =5.35, p = .039, was also found. Post-hoc tests showed that the change in the connection weight pre- and post-treatment was specific to the semantic weights for the treated items only (p < .001; see Figure 1). Discussion: It was found that PCA treatment, a phonologically-based therapy, strengthened the semantic connections during lexical access in individuals with aphasia. This finding is consistent with our previous work (Leonard et al., 2015; Rochon et al., 2010) where it was found, using fMRI, that changes in cortical activation post PCA therapy were associated with a semantic task. These results are consistent with Foygel and Dell’s (2000) interactive activation model of lexical access, which posits a strong interaction between the semantic and phonological levels during naming. Figure 1: Semantic and Phonological Connection Weights Pre- and Post-therapy

Figure 1

Acknowledgements

This study was supported by a grant from the Heart and Stroke Foundation of Canada.

References

Boyle, M. & Coelho, C.A., (1995). Application of a Semantic Feature Analysis as a treatment for aphasic disnomia. American Journal of Speech-Language Pathology, 4, 135-138.

Dell, G., Schwartz, M.F., Martin, N., Saffran, E.M., Gagnon, D. A. (1997). Lexical access in aphasic and nonaphasic speakers. Psychological Review, 104(4), 801-838.

Foygel, D. & Dell, G., (2000). Models of impaired lexical access in speech production. Journal of Memory and Language, 43, 182-216.

Leonard, C., Laird, L., Burianova, H., Graham, S., Grady, C., Simic, T., Rochon, E. (2015). Behavioural and neural changes after a “choice” therapy for naming deficits in aphasia: preliminary findings. Aphasiology, 29(4), 506-525.

Leonard, C., Rochon, E., Laird, L. (2008). Treating naming impairments in aphasia: Findings from a Phonological Components Analysis treatment. Aphasiology, 22, 923-947.

Rochon, E., Laird, L., Simic, T., Leonard, C. (in preparation). The effect of intensity on a treatment for naming deficits in aphasia.

Rochon, E., Leonard, C., Burianova, H., Laird, L., Soros, P., Graham, S., Grady, C. (2010). Neural changes after phonological treatment for anomia: an fMRI study. Brain and Language, 114, 164–179.

van Hees, S., Angwin, A., McMahon, K., Copland, D. (2013). A comparison of semantic feature analysis and phonological components analysis for the treatment of naming impairments in aphasia. Neuropsychological Rehabilitation, 23(1), 102-132.

Walker G. & Hickok G. (2015, August 7). Computational Models of Aphasia. Retrieved March 25, 2017, from http://www.cogsci.uci.edu/~alns/webfit

Keywords: Aphasia, Anomia, phonologically-based treatment, interactive-activation model, lexical access

Conference: Academy of Aphasia 55th Annual Meeting , Baltimore, United States, 5 Nov - 7 Nov, 2017.

Presentation Type: poster presentation

Topic: Consider for student award

Citation: Mengad S, Mosu R, Laird L, Gordon JK, Rochon E and Leonard C (2019). The Influence of Phonological Components Analysis Treatment on Lexical Access in Individuals with Aphasia. Conference Abstract: Academy of Aphasia 55th Annual Meeting . doi: 10.3389/conf.fnhum.2017.223.00031

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Received: 25 Apr 2017; Published Online: 25 Jan 2019.

* Correspondence: Dr. Carol Leonard, University of Ottawa, Audiology and Speech-Language Pathology Program, Ottawa, Ontario, Canada, carol.leonard@uottawa.ca