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• W2912726053 abstract "Event Abstract Back to Event Diffusion Modeling of Task Adaption and Lexical Processing Impairments in Aphasia William S. Evans1, 2*, Jeffrey J. Starns3, William Hula1 and David N. Caplan4 1 VA Pittsburgh Healthcare System, Geriatric Research Education and Clinical Center, United States 2 University of Pittsburgh, Department of Communication Science and Disorders, United States 3 University of Massachusetts, Amherst, Department of Psychology, United States 4 Massachusetts General Hospital, Department of Neurology, United States Given the co-occurrence and correlation of cognitive and linguistic impairments following stroke (Murray, 2012), it is important to understand how general cognitive processes contribute to language performance in aphasia. To address this, the current study used a computational model of the decision-making process (the diffusion model; Ratcliff, 1978) to look at the relation between domain-general decision processes and lexical deficits in aphasia. The model integrates both accuracy and response time information to describe response time distributions. Two key parameters in the model are drift rate and response boundary separation. Drift rate is an index of how quickly and efficiently information is accumulated during the decision process, and is sensitive to effects such as word frequency (Ratciff et al., 2004). In contrast, boundary separation is a measure of how much information is allowed to accumulate before a response is initiated (i.e., a measure of “response caution”), and is sensitive to individual differences and task effects related to speed-accuracy tradeoffs (Wagenmakers et al., 2008, Starns & Ratcliff, 2010). In the current study, we tested 20 people with aphasia (PWA) and 23 matched controls (MCs) on lexical decision and a matched nonlinguistic numerosity task, in which participants had to make a high/low classification based on the number of presented asterisks. In both tasks, we manipulated lower-level domain-specific aspects via stimuli properties (word frequency and numbers of asterisks), and control-level aspects via task focus, with shifting speed/accuracy demands. We predicted a) that PWA would present with domain-general task adaption deficits, with difficulty adjusting boundary separation in response to changing speed/accuracy task demands, and b) that PWA would present with domain-specific lexical impairments, with disproportionately low drift rates in lexical decision compared to numerosity. The diffusion model was fit to individual participants and used the chi-square fitting method (Ratcliff & Tuerlinckx, 2002). Group differences were assessed via repeated-measures ANOVA. On boundary separation, there was a 2-way group-by-task focus interaction in both lexical decision and numerosity, F(1, 41) = 6.397, p =.015, ηG2 =.030, such that PWA were less able to adjust boundaries compared to controls (Figure, panel A). On drift rates, there was a 2-way group-by-domain interaction, F(1, 41) = 5.696, p =.022, ηG2 =.039, such that drift rates were disproportionately low for PWA in lexical decision compared to numerosity compared to controls (Figure, panel B). There was also an unexpected 2-way group-by-stimuli type interaction, F(1, 41) = 11.960, p <.001, ηG2 =.031, such that PWA showed smaller drift rate differences between easier and harder stimuli in both lexical decision and numerosity. Overall, predictions were confirmed: PWA showed domain-specific deficits on drift rates in lexical decision, and domain-general deficits in adjusting boundary separation to meet task demands. The additional unexpected domain-general effect in drift rates may reflect a deficit in stimulus-response binding. Results support a hybrid cognitive-linguistic model of language performance deficits in aphasia, and demonstrate the feasibility and applicability of diffusion modeling in aphasia research. Results will be further discussed in terms of additional model parameters and case series analyses. Figure 1 Acknowledgements This research was funded by the National Institute of Health (NIDCD-F31DC013489), the Boston University Dudley Allen Sargent Research Fund, and the VA Pittsburgh Healthcare System Geriatric Research Education and Clinical Center. References Morey, R. D. (2008). Confidence Intervals from Normalized Data: A correction to Cousineau ( 2005 ). Tutorials in Quantitative Methods for Psychology, 4(2), 61–64. Murray, L. (2012). Attention and Other Cognitive Deficits in Aphasia: Presence and Relation to Language and Communication Measures. American Journal of Speech-Language Pathology, 21(May), 51–65. Ratcliff, R. (1978). A Theory of Memory Retrieval. Psychological Review, 85(2), 59–108. Ratcliff, R., Gomez, P., & McKoon, G. (2004). A diffusion model account of the lexical decision task. Psychological Review, 111(1), 159–82. Ratcliff, R., & Tuerlinckx, F. (2002). Estimating parameters of the diffusion model: approaches to dealing with contaminant reaction times and parameter variability. Psychonomic Bulletin & Review, 9(3), 438–81. Starns, J. J., & Ratcliff, R. (2010). The effects of aging on the speed-accuracy compromise: Boundary optimality in the diffusion model. Psychology and Aging, 25(2), 377–90. Wagenmakers, E.-J., Ratcliff, R., Gomez, P., & McKoon, G. (2008). A Diffusion Model Account of Criterion Shifts in the Lexical Decision Task. Journal of Memory and Language, 58(1), 140–159. Keywords: Aphasia, diffusion model, cognitive control, lexical decision, Speed-accuracy tradeoff Conference: Academy of Aphasia 55th Annual Meeting , Baltimore, United States, 5 Nov - 7 Nov, 2017. Presentation Type: oral presentation Topic: Consider for student award Citation: Evans WS, Starns JJ, Hula W and Caplan DN (2019). Diffusion Modeling of Task Adaption and Lexical Processing Impairments in Aphasia. Conference Abstract: Academy of Aphasia 55th Annual Meeting . doi: 10.3389/conf.fnhum.2017.223.00046 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: 21 Apr 2017; Published Online: 25 Jan 2019. * Correspondence: Prof. William S Evans, VA Pittsburgh Healthcare System, Geriatric Research Education and Clinical Center, Pittsburgh, PA, United States, oddsorevans@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers William S Evans Jeffrey J Starns William Hula David N Caplan Google William S Evans Jeffrey J Starns William Hula David N Caplan Google Scholar William S Evans Jeffrey J Starns William Hula David N Caplan PubMed William S Evans Jeffrey J Starns William Hula David N Caplan Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page." @default.
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