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dc.contributor.authorCope, Thomasen
dc.contributor.authorWilson, Ben
dc.contributor.authorRobson, Hen
dc.contributor.authorDrinkall, Ren
dc.contributor.authorDean, Len
dc.contributor.authorGrube, Men
dc.contributor.authorJones, Simonen
dc.contributor.authorPatterson, Karalynen
dc.contributor.authorGriffiths, TDen
dc.contributor.authorRowe, Jamesen
dc.contributor.authorPetkov, CIen
dc.date.accessioned2017-10-09T11:07:22Z
dc.date.available2017-10-09T11:07:22Z
dc.date.issued2017-09en
dc.identifier.issn0028-3932
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/267797
dc.description.abstractPatients 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 to assess processing of increasingly complex sequencing relationships. We compared response profiles for otherwise identical sequences of speech tokens (nonsense words) and tone sweeps. In all three groups the ability to detect grammatical violations varied with sequence complexity, with performance improving over time and being better for adjacent than non-adjacent relationships. Patients performed less well than controls overall, and this was related more strongly to aphasia severity than to aetiology. All groups improved with practice and performed well at a control task of detecting oddball nonwords. Crucially, group differences did not interact with sequence complexity, demonstrating that aphasic patients were not disproportionately impaired on complex structures. Hierarchical cluster analysis revealed that response patterns were very similar across all three groups, but very different between the nonsense word and tone tasks, despite identical artificial grammar structures. Overall, we demonstrate that agrammatic aphasics of two different aetiologies are not disproportionately impaired on complex sequencing relationships, and that the learning of phonological and non-linguistic sequences occurs independently. The similarity of profiles of discriminatory abilities and rule learning across groups suggests that insights from previous studies of implicit sequence learning in vascular aphasia are likely to prove applicable in nfvPPA.
dc.description.sponsorshipThe Association of British Neurologists, Patrick Berthoud Charitable trust and National Institute for Health Research support TEC. The Wellcome Trust supports BW (WT110198), TDG (WT106964MA), JBR (WT103838) and CP (WT102961MA). The Stroke Association supports HR (TSA 2012/02). Further study support was received from the National Institute of Health Research's Biomedical Research Centre (Cambridge) and Biomedical Research Units in Dementia (Cambridge, Newcastle).
dc.languageengen
dc.language.isoenen
dc.publisherElsevier
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectaphasiaen
dc.subjectfrontotemporal dementiaen
dc.subjectgrammaren
dc.subjectimplicit learningen
dc.subjectstrokeen
dc.titleArtificial grammar learning in vascular and progressive non-fluent aphasiasen
dc.typeArticle
prism.endingPage213
prism.publicationDate2017en
prism.publicationNameNeuropsychologiaen
prism.startingPage201
prism.volume104en
dc.identifier.doi10.17863/CAM.13726
dcterms.dateAccepted2017-08-17en
rioxxterms.versionofrecord10.1016/j.neuropsychologia.2017.08.022en
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2017-09en
dc.contributor.orcidCope, Thomas [0000-0002-4751-1786]
dc.contributor.orcidJones, Simon [0000-0001-9695-0702]
dc.contributor.orcidPatterson, Karalyn [0000-0003-1927-7424]
dc.contributor.orcidRowe, James [0000-0001-7216-8679]
dc.identifier.eissn1873-3514
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idWELLCOME TRUST (103838/Z/14/Z)
pubs.funder-project-idAssociation of British Neurologists (ABN) (unknown)
pubs.funder-project-idCambridge University Hospitals NHS Foundation Trust (CUH) (146281)
pubs.funder-project-idMedical Research Council (MC_U105597119)
cam.issuedOnline2017-08-24en
cam.orpheus.successThu Jan 30 13:00:33 GMT 2020 - The item has an open VoR version.*
rioxxterms.freetoread.startdate2100-01-01


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International