The multidimensional nature of aphasia: Using factors beyond language to predict treatment outcomes
Year: 2017
Type: article
Abstract: Event Abstract Back to Event The multidimensional nature of aphasia: Using factors beyond language to predict treatment outcomes Natalie Gilmore1*, Jeffrey P. Johnson1, Erin L. Meier1, Carrie A. Des Roches1 and Swathi Kiran1 1 Boston University, Speech, Language and Hearing Sciences, United States Background/Aims Despite the traditional view of aphasia as a language disorder, research has shown that general cognition (e.g., van de Sandt-Koenderman et al., 2008) and specific cognitive skills (e.g., Dignam et al., 2017) can predict response to aphasia rehabilitation. To investigate the relationship between cognition and treatment outcomes, two retrospective analyses were conducted to: 1) determine whether baseline cognitive/linguistic abilities and/or demographic variables predicted language treatment response; and 2) ascertain which specific cognitive measures predicted anomia treatment response. Methods/Results The first analysis included 64 persons with aphasia (PWA) (41 male; age range=26-86 years, M=60.1, SD=12.6; months post onset (MPO) range=5-67 months, M=49.3, SD=45.3) who received therapy targeting naming or sentence comprehension deficits in one of four studies. Individual proportion of potential maximal gain scores (PMG; Lambon Ralph et. al, 2010) were calculated for all participants (mean PMG=.55, SD=.35, range= -.18-1.00). Baseline cognitive/linguistic status was measured via the Western Aphasia Battery-Revised (WAB-R; Kertesz, 2007), Cognitive-Linguistic Quick Test (CLQT; Helm-Estabrooks, 2001), Pyramids and Palm Trees Test (PAPT; Howard & Patterson, 1992) and Boston Naming Test (BNT; Goodglass et al., 2001). A principal components analysis indicated that scores on the aforementioned assessments distinctly loaded onto either a language component (L.Comp) or a cognitive component (C.Comp). Individual L.Comp and C.Comp scores were computed and entered into a backward elimination regression model with age and MPO to predict treatment response as indicated by PMG. The best-fit model was significant and explained 41.08% of the variance in PMG (F(2,61)=22.96, p<.001). The model included only L.Comp and C.Comp, both of which were significant predictors, with one standard deviation increases predicting increases in PMG of .20 and .11, respectively (both p<.002). The second analysis included 24 PWA (16 male; age range=42-79 years, M=61, SD=10.56; MPO range=8-165, M=55, SD=52.67) who received semantic feature analysis-based therapy for anomia (Kiran & Bassetto, 2008). Cognitive measures administered before treatment included the CLQT, Corsi block-tapping test (Kessels et al., 2000), Wechsler Scales Digit Span subtest (Wechsler, 2008), Doors and People Test Visual Recognition subtest (Baddeley et al., 1994), Serial Response Time Test (SRTT; Robertson, 2007) and two visuospatial/mental rotation tasks (i.e., Geometric Control Inclusion and Matching). PMG was calculated for all participants (mean PMG=.46, SD=.39, Range=-.07-1.00). A multiple linear regression was performed predicting PMG from performance on the pre-treatment cognitive assessment battery. The regression was significant (F(7, 16)= 4.96, p=.004) and explained 54.65% of the variance in PMG. Geometric Control Matching (visuospatial processing), CLQT Executive Functions, and Digit Span Total (verbal short-term memory) were significant predictors of PMG with a one standard deviation increase in each predicting increases in PMG of .15, .20 and .19, respectively (all p<.04). Conclusions Consistent with emerging evidence, this study indicates that brain damage in the left hemisphere affects not only language processing, but also cognitive functions (Bonini & Radanovic, 2015). Furthermore, baseline cognitive abilities predict how PWA respond to language therapy. Certain cognitive skills, such as visuospatial processing, executive functions, and verbal working memory may be particularly relevant to outcomes of semantic feature analysis-based naming therapy. References Baddeley, A. D., Emslie, H., & Nimmo-Smith, I. (1994). The doors and people test. Bury St. Edmunds, UK: Thames Valley Test Company. Bonini, M. V., & Radanovic, M. (2015). Cognitive deficits in post-stroke aphasia. Arquivos de Neuro-Psiquiatria, 73(10), 840–847. https://doi.org/10.1590/0004-282X20150133. Dignam, J., Copland, D., O’Brien, K., Burfein, P., Khan, A., & Rodriguez, A. D. (2017). Influence of Cognitive Ability on Therapy Outcomes for Anomia in Adults With Chronic Poststroke Aphasia. Journal of Speech Language and Hearing Research, 60(2), 406. https://doi.org/10.1044/2016_JSLHR-L-15-0384. Goodglass, H., Kaplan, E., & Weintraub, S. (2001). Boston Naming Test. Philadelphia: Lea & Febiger. Helm-Estabrooks, N. (2001). Cognitive Linguistic Quick Test: Examiner’s Manual. Psychological Corporation. Howard, D., & Patterson, K. E. (1992). The Pyramids and Palm Trees Test: A test of semantic access from words and pictures. Thames Valley Test Company. Kertesz, A. (2007). Western Aphasia Battery (Revised). San Antonio, TX: PsychCorp. Kessels, R. P., Van Zandvoort, M. J., Postma, A., Kappelle, L. J., & De Haan, E. H. (2000). The Corsi block-tapping task: standardization and normative data. Applied Neuropsychology, 7(4), 252–258. Kiran, S., & Bassetto, G. (2008). Evaluating the Effectiveness of Semantic-Based Treatment for Naming Deficits in Aphasia: What Works? Seminars in Speech and Language, 29(1), 071–082. https://doi.org/10.1055/s-2008-1061626. Robertson, E. M. (2007). The Serial Reaction Time Task: Implicit Motor Skill Learning? Journal of Neuroscience, 27(38), 10073–10075. https://doi.org/10.1523/JNEUROSCI.2747-07.2007. van de Sandt-Koenderman, W. M. E., van Harskamp, F., Duivenvoorden, H. J., Remerie, S. C., van der Voort-Klees, Y. A., Wielaert, S. M., … Visch-Brink, E. G. (2008). MAAS (Multi-axial Aphasia System): realistic goal setting in aphasia rehabilitation. International Journal of Rehabilitation Research. Internationale Zeitschrift Für Rehabilitationsforschung. Revue Internationale De Recherches De Réadaptation, 31(4), 314–320. https://doi.org/10.1097/MRR.0b013e3282fc0f23. Wechsler, D. (2008). Wechsler Adult Intelligence Scale - Fourth Edition (WAIS-IV). Pearson Education. Keywords: Cognition., Language, Speech and language therapy, Anomia, predictors 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: Gilmore N, Johnson JP, Meier EL, Des Roches CA and Kiran S (2019). The multidimensional nature of aphasia: Using factors beyond language to predict treatment outcomes. Conference Abstract: Academy of Aphasia 55th Annual Meeting . doi: 10.3389/conf.fnhum.2017.223.00085 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: 24 Apr 2017; Published Online: 25 Jan 2019. * Correspondence: Ms. Natalie Gilmore, Boston University, Speech, Language and Hearing Sciences, Boston, MA, 02215, United States, [email protected] 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 Natalie Gilmore Jeffrey P Johnson Erin L Meier Carrie A Des Roches Swathi Kiran Google Natalie Gilmore Jeffrey P Johnson Erin L Meier Carrie A Des Roches Swathi Kiran Google Scholar Natalie Gilmore Jeffrey P Johnson Erin L Meier Carrie A Des Roches Swathi Kiran PubMed Natalie Gilmore Jeffrey P Johnson Erin L Meier Carrie A Des Roches Swathi Kiran 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.
Source: Frontiers in Human Neuroscience
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W2911321383