Event Abstract

Cognitive Control, Semantic Processing, and Semantic Ambiguity Resolution in Individuals with Aphasia

  • 1 University of Pittsburgh, Communication Sciences and Disorders, United States
  • 2 University of Delaware, Communication Science and Disorders, United States
  • 3 University of Pittsburgh, Health Information Management, United States
  • 4 The University of Texas at El Paso, Rehabilitation Sciences, United States
  • 5 Universitätsklinikum Heidelberg, Koordinierungszentrum für Klinische Studien (KKS), Germany
  • 6 VA Northern California Health Care System, Speech Language Pathology, United States
  • 7 Jefferson University Hospitals, Thomas Jefferson University, United States

INTRODUCTION Several imaging and lesion-based studies suggest that cognitive control plays an important role in semantic ambiguities resolution[1]. However, two recent behavioral studies indicate that such interference resolution may be more related to verbal semantic abilities than to cognitive control[2,3], with better semantic abilities resulting in more ambiguity interference[2]. While deficits in cognitive control are well documented in individuals with aphasia (IWA)[4,5,6], the effects of such deficits for ambiguity resolution have not been investigated in conjunction with semantic abilities. This study investigates how in IWA, cognitive control and lexical-semantic abilities contribute to comprehension efficiency and success in ambiguity resolution. It was predicted that for IWA, deficits in cognitive control result in increased ambiguity interference and decreased accuracy, whereas deficits in lexical-semantic processing result in decreased ambiguity interference, on a sentence comprehension task (SCT) requiring lexical ambiguity resolution. PROCEDURES Ninety-five IWA completed all study tasks. Cognitive control was indexed as the RT ratio of incongruent/neutral items in a picture-word interference task (PWI ratio). Lexical semantic processing was measured as accuracy in a category judgment task (CJ accuracy). On the SCT, participants read sentences with a disambiguating verb and an ambiguous object, followed by a probe word related to alternative meaning of the ambiguous object (He drank the port today – docks)[7]. In the control condition, ambiguous objects were replaced with unambiguous words. All timing measures were modeled in linear mixed effect models, and accuracy was fitted using logistic mixed regression models[8]. Subjects and items were entered as random effects (including intercepts and slopes[9]), and ambiguity (ambiguous/control), PWI ratio, and CJ accuracy as fixed effects. RESULTS RT IWA with higher PWI ratios responded faster in the SCT than those with lower ratios (95% CI [-14.4 – -2.8]). Main effects for ambiguity (95% CI [-.8 – -.04]) and lexical-semantic processing (95% CI [-1.4 – .2]) were modulated by an interaction (95% CI [.2 – 1]): Ambiguity interference was only evident in IWA with higher CJ accuracy (see Figure 1). Accuracy Ambiguous items were less accurate than unambiguous items (95% CI [.2– 1]). DISCUSSION Cognitive Control: The lack of relationship between PWI interference and SCT ambiguity for RT and accuracy suggests that different aspects of cognitive control are required in the two tasks6: In the PWI task, inhibition is task-driven and mainly proactive, whereas in the SCT inhibition is mainly reactive. However, higher PWI interference is associated with faster judgments, suggesting that it reflects an underlying cognitive factor relevant to processing efficiency, possibly processing speed. Further analyses of available data will examine this possibility. Lexical-semantic processing: Faster lexical semantic processing was associated with faster RTs and more ambiguity interference, consistent with the hypothesis that better semantic processing results in faster activation of alternative meanings, causing more interference[4]. However, differences in CJ accuracy did not affect SCT accuracy, suggesting that this interference was successfully resolved. For individuals with poorer lexical-semantic processing, RTs were slower, and there was less/no ambiguity interference, suggesting that competing word meanings were not sufficiently re-activated to interfere with the decision time or comprehension success.

Figure 1

References

1. .Vitello, S., & Rodd, J. M. (2015). Resolving Semantic Ambiguities in Sentences: Cognitive Processes and Brain Mechanisms: Resolving Semantic Ambiguities. Language and Linguistics Compass, 9(10), 391–405. https://doi.org/10.1111/lnc3.12160
2. Tan, Y., Martin, R. C., & Van Dyke, J. A. (2017). Semantic and Syntactic Interference in Sentence Comprehension: A Comparison of Working Memory Models. Frontiers in Psychology, 8, 198. https://doi.org/10.3389/fpsyg.2017.00198
3. Engelhardt, P. E., Nigg, J. T., & Ferreira, F. (2017). Executive Function and Intelligence in the Resolution of Temporary Syntactic Ambiguity: An Individual Differences Investigation. Quarterly Journal of Experimental Psychology, 70(7), 1263–1281. https://doi.org/10.1080/17470218.2016.1178785
4. Faroqi-Shah, Y., Sampson, M., Pranger, M., & Baughman, S. (2018). Cognitive control, word retrieval and bilingual aphasia: Is there a relationship? Journal of Neurolinguistics, 45, 95–109. https://doi.org/10.1016/j.jneuroling.2016.07.001
5. Kuzmina, E., & Weekes, B. S. (2017). Role of cognitive control in language deficits in different types of aphasia. Aphasiology, 31(7), 765–792. https://doi.org/10.1080/02687038.2016.1263383
6. Pompon, R. H., McNeil, M. R., Spencer, K. A., & Kendall, D. (2015). Intentional and Reactive Inhibition During Spoken-Word Stroop Task Performance in People With Aphasia. Journal of Speech Language and Hearing Research, 58 (3), 767-780. https://doi.org/10.1044/2015_JSLHR-L-14-0063
7. Vuong, L. C., Martin, R. C. (2011) LIFG-based attentional control and the resolution of lexical ambiguities in sentence context. Brain and Language. 116 (1), pp. 22–32. https://doi.org/10.1016/j.bandl.2010.09.012
8. Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1), 1-48. https://doi.org/ 10.18637/jss.v067.i01
9. Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3). https://doi.org/10.1016/j.jml.2012.11.001

Keywords: Aphasia, cognitive control, ambiguity resolution, semantics, cognitive interference

Conference: Academy of Aphasia 56th Annual Meeting, Montreal, Canada, 21 Oct - 23 Oct, 2018.

Presentation Type: oral presentation

Topic: not eligible for a student prize

Citation: Fassbinder W, Hunting Pompon R, Aldhoayan M, Kim H, Yoo H, Hüsing J, Dalziel K, Mancini J and McNeil MR (2019). Cognitive Control, Semantic Processing, and Semantic Ambiguity Resolution in Individuals with Aphasia. Conference Abstract: Academy of Aphasia 56th Annual Meeting. doi: 10.3389/conf.fnhum.2018.228.00093

Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters.

The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated.

Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.

For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions.

Received: 01 May 2018; Published Online: 22 Jan 2019.

* Correspondence: Dr. Wiltrud Fassbinder, University of Pittsburgh, Communication Sciences and Disorders, Pittsburgh, Pennsylvania, PA 15260, United States, wf_frontiers@wiltrud.com