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Impaired artificial grammar learning in agrammatism
Authors:Morten H. Christiansen  M. Louise Kelly  Richard C. Shillcock  Katie Greenfield
Affiliation:1. Department of Psychology, Cornell University, USA;2. Department of Psychology, University of Edinburgh, UK;3. Department of Psychology and Division of Informatics, University of Edinburgh, UK;4. Division of Informatics, University of Edinburgh, UK;1. Department of Clinical Psychology and Addiction, Eotvos Lorand University, Budapest, Hungary;2. Department of Psychology, Georgetown University, Washington, DC, USA;3. Department of Clinical Neurophysiology, University Medical Center, Georg-August University, Göttingen, Germany;4. Institute of Psychology, Friedrich-Schiller-University of Jena, Jena, Germany;5. Imaging Research Center, University of Texas, Austin, USA;1. Institute of Psychology, Friedrich Schiller University Jena, Leutragraben 1, D-07743 Jena, Germany;2. Department of Neurology, University of Szeged, Semmelweis utca 6., H-6725 Szeged, Hungary;3. Institute of Psychology, Eötvös Loránd University, Izabella utca 46., H-1064 Budapest, Hungary;4. Brain, Memory and Language Research Group, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar tudósok körútja 2., H–1117 Budapest, Hungary;5. School of Human Sciences, Faculty of Education, Health and Human Sciences, University of Greenwich, Old Royal Naval College, Park Row, SE10 9LS London, United Kingdom;6. Donders Institute for Brain, Cognition and Behaviour, Radboud University, Montessorilaan 3, 6525 HR Nijmegen, the Netherlands;7. Lyon Neuroscience Research Center (CRNL), INSERM, CNRS, Université Claude Bernard Lyon 1, 95 Boulevard Pinel, 69675 Bron, France;1. Language and Brain Plasticity lab, IIPDM, University of Haifa, Israel;2. Department of Neuroscience, Georgetown University, United States;3. Department of Psychology, University of Haifa, Israel;1. Ghent University, Henri Dunantlaan 2, 9000 Ghent, Belgium;2. University of Antwerp, Grote Kauwenberg 18, 2000 Antwerp, Belgium
Abstract:It is often assumed that language is supported by domain-specific neural mechanisms, in part based on neuropsychological data from aphasia. If, however, language relies on domain-general mechanisms, it would be expected that deficits in non-linguistic cognitive processing should co-occur with aphasia. In this paper, we report a study of sequential learning by agrammatic aphasic patients and control participants matched for age, socio-economic status and non-verbal intelligence. Participants were first exposed to strings derived from an artificial grammar after which they were asked to classify a set of new strings, some of which were generated by the same grammar whereas others were not. Although both groups of participants performed well in the training phase of the experiment, only the control participants were able to classify novel test items better than chance. The results show that breakdown of language in agrammatic aphasia is associated with an impairment in artificial grammar learning, indicating damage to domain-general neural mechanisms subserving both language and sequential learning.
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