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Dataset Information

Artificial grammar learning in vascular and progressive non-fluent aphasias.


ABSTRACT: Patients with non-fluent aphasias display impairments of expressive and receptive grammar. This has been attributed to deficits in processing configurational and hierarchical sequencing relationships. This hypothesis had not been formally tested. It was also controversial whether impairments are specific to language, or reflect domain general deficits in processing structured auditory sequences. Here we used an artificial grammar learning paradigm to compare the abilities of controls to participants with agrammatic aphasia of two different aetiologies: stroke and frontotemporal dementia. Ten patients with non-fluent variant primary progressive aphasia (nfvPPA), 12 with non-fluent aphasia due to stroke, and 11 controls implicitly learned a novel mixed-complexity artificial grammar designed

SUBMITTER: Cope TE 

PROVIDER: S-EPMC5637161 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature