title: Artificial grammar learning in individuals with severe aphasia.
abstract: One factor in syntactic impairment in aphasia might be damage to general structure processing systems. In such a case, deficits would be evident in the processing of syntactically structured non-linguistic information. To explore this hypothesis, we examined performances on artificial grammar learning (AGL) tasks in which the grammar was expressed in non-linguistic visual forms. In the first experiment, AGL behavior of four aphasic participants with severe syntactic impairment, five aphasic participants without syntactic impairment, and healthy controls was examined. Participants were trained on sequences of nonsense stimuli with the structure A(n)B(n). Data were analyzed at an individual level to identify different behavioral profiles and account for heterogeneity in aphasic as well as healthy groups. Healthy controls and patients without syntactic impairment were more likely to learn configurational (item order) than quantitative (counting) regularities. Quantitative regularities were only detected by individuals who also detected the configurational properties of the stimulus sequences. By contrast, two individuals with syntactic impairment learned quantitative regularities, but showed no sensitivity towards configurational structure. They also failed to detect configurational structure in a second experiment in which sequences were structured by the grammar A(+)B(+). We discuss the potential relationship between AGL and processing of word order as well as the potential of AGL in clinical practice.
authors.affiliation: Division of Psychology and Language Sciences, University College London, Chandler House, 2 Wakefield Street, London, WC1N 1PF, United Kingdom. Electronic address: v.zimmerer@ucl.ac.uk.
authors.forename: Vitor C
authors.initials: VC
authors.lastname: Zimmerer
authors.affiliation: Department of Human Communication Sciences, University of Sheffield, 362 Mushroom Lane, Sheffield, S10 2TS, United Kingdom. Electronic address: p.e.cowell@shef.ac.uk.
authors.forename: Patricia E
authors.initials: PE
authors.lastname: Cowell
authors.affiliation: Division of Psychology and Language Sciences, University College London, Chandler House, 2 Wakefield Street, London, WC1N 1PF, United Kingdom. Electronic address: rosemary.varley@ucl.ac.uk.
authors.forename: Rosemary A
authors.initials: RA
authors.lastname: Varley
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001037:Aphasia / Q000175:diagnosis / Q000473:pathology; D001921:Brain / Q000473:pathology; D005260:Female; D006801:Humans; D007807:Language Tests; D007858:Learning; D008037:Linguistics; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis; D012720:Severity of Illness Index
keywords: Agrammatism; Aphasia; Artificial grammar learning; Syntax