Literature DB >> 23695914

Nonlinguistic learning in individuals with aphasia: effects of training method and stimulus characteristics.

Sofia Vallila-Rohter1, Swathi Kiran.   

Abstract

PURPOSE: The purpose of the current study was to explore nonlinguistic learning ability in individuals with aphasia, examining the impact of stimulus typicality and feedback on success with learning.
METHOD: Eighteen individuals with aphasia and 8 nonaphasic controls participated in this study. All participants completed 4 computerized, nonlinguistic category-learning tasks. Learning ability was probed under 2 methods of instruction: feedback-based (FB) and paired-associate (PA). The impact of task complexity on learning ability was also examined, comparing 2 stimulus conditions: typical and atypical. Performance was compared between groups and across conditions.
RESULTS: The controls were able to successfully learn categories under all conditions. For the individuals with aphasia, 2 patterns of performance arose: One subgroup of individuals was able to maintain learning across task manipulations and conditions; the other subgroup demonstrated a sensitivity to task complexity, learning successfully only in the typical training conditions.
CONCLUSION: Results support the hypothesis that impairments of general learning are present in individuals with aphasia. Some individuals demonstrated the ability to extract category information under complex training conditions; others learned only under conditions that were simplified and that emphasized salient category features. Overall, the typical training condition facilitated learning for all of the participants. Findings have implications for treatment, which are discussed.

Entities:  

Keywords:  adults; aphasia; category learning; language

Mesh:

Year:  2013        PMID: 23695914      PMCID: PMC3662497          DOI: 10.1044/1058-0360(2013/12-0087)

Source DB:  PubMed          Journal:  Am J Speech Lang Pathol        ISSN: 1058-0360            Impact factor:   2.408


  52 in total

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9.  Cortico-striatal contributions to feedback-based learning: converging data from neuroimaging and neuropsychology.

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