1,665
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

The effect of a sentence comprehension treatment on discourse comprehension in aphasia

, , &
Pages 1289-1311 | Published online: 06 Jan 2015
 

Abstract

Background: While it is well understood that individuals with aphasia have difficulty with discourse comprehension, very few studies have examined the nature of discourse comprehension deficits in aphasia and the potential for improvement in discourse comprehension after rehabilitation. To address the first goal, we previously developed the Test of Syntactic Effects on Discourse Comprehension (TSEDC), which provides a measure of the extent to which a participant’s sentence comprehension ability aids in comprehending passages.

Aims: The goal of this study was to examine the effect of a sentence comprehension treatment on the TSEDC to assess whether training participants to understand sentences of different syntactic complexity would improve their ability to understand passages that vary by their level of syntactic complexity.

Methods & Procedures: Forty participants with aphasia received sentence comprehension treatment using one of two syntactic comprehension tasks: object manipulation (OM) or sentence to picture matching (SPM). The dependent measure was improved sentence comprehension of one sentence type in one task-related protocol, with the order of task and structure counterbalanced across participants. Before and after treatment, participants also completed a self-paced auditory story comprehension task that involved nine passages that contained either semantically reversible canonical sentences (simple passages) or semantically reversible non-canonical sentences (complex passages). At the end of each passage, participants were asked explicit or implicit questions about the story. Accuracy and reaction times were measured for each patient for each story before and after treatment.

Outcomes & Results: Analysis of the treatment data revealed that participants improved in their ability to understand trained sentences (both in terms of effect size and per cent change on trained structure), irrespective of whether the trained task was SPM or OM. There was no significant relationship between treatment improvements on the SPM/OM treatment (even when the task targeted in treatment was controlled for) and changes in performance on the TSEDC. Also, there was no significant improvement in TSEDC accuracy after treatment, even when various aspects of the narrative passages, including passage complexity (simple/complex), the nature of sentence type (semantically constrained/semantically reversible) and the nature of questions asked (explicit or implicit), were accounted for.

Conclusions: Inherent differences between the sentence comprehension treatment and the TSEDC may have precluded generalisation.

Acknowledgement

The authors thank David Caplan for his contributions to the project, and Elsa Ascenso and Nadia Lonsdale for their assistance in data collection.

Notes

1. Exceptions in pre-treatment being BUMA71, who received four baselines due to a rising baseline, and BUMA62, who completed three baselines but had time away from the study, then started again so was only given two baselines.

2. Included in syntactically simple version of passage.

3. Included in syntactically complex version of passage.

Additional information

Funding

This work was supported by the National Institutes of Health/National Institute on Deafness and Other Communication Disorders [grant number 1R21/R33DC010461-01].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 386.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.