Journal article
Artificial grammar learning in vascular and progressive non-fluent aphasias
Neuropsychologia, Vol.104, pp.201-213
09/2017
DOI: 10.1016/j.neuropsychologia.2017.08.022
PMCID: PMC5637161
PMID: 28843341
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 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.
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•Patients with Broca's aphasia and nfvPPA show implicit artificial grammar learning.•Both groups displayed global deficits compared to controls but improved with practice.•Neither group was disproportionately impaired on more complex ordering relationships.•Learning did not transfer between otherwise identical speech and tone-based grammars.•Separate linguistic and non-linguistic sequence processing was maintained in aphasia.
Details
- Title: Subtitle
- Artificial grammar learning in vascular and progressive non-fluent aphasias
- Creators
- Thomas E. Cope - University of CambridgeBenjamin Wilson - University of Newcastle AustraliaHolly Robson - University of ReadingRebecca Drinkall - University of ReadingLauren Dean - Newcastle UniversityManon Grube - Newcastle UniversityP. Simon Jones - University of CambridgeKaralyn Patterson - MRC Cognition and Brain Sciences UnitTimothy D. Griffiths - University of Newcastle AustraliaJames B. Rowe - MRC Cognition and Brain Sciences UnitChristopher I. Petkov - University of Newcastle Australia
- Resource Type
- Journal article
- Publication Details
- Neuropsychologia, Vol.104, pp.201-213
- DOI
- 10.1016/j.neuropsychologia.2017.08.022
- PMID
- 28843341
- PMCID
- PMC5637161
- NLM abbreviation
- Neuropsychologia
- ISSN
- 0028-3932
- eISSN
- 1873-3514
- Publisher
- Elsevier Ltd
- Grant note
- name: Wellcome Trust, award: WT110198, WT106964MA, WT103838, WT102961MA; DOI: 10.13039/501100000364, name: Stroke Association, award: TSA 2012/02; name: National Institute of Health Research's Biomedical Research Centre; name: Biomedical Research Units in Dementia
- Language
- English
- Date published
- 09/2017
- Academic Unit
- Psychological and Brain Sciences; Iowa Neuroscience Institute; Neurosurgery; Otolaryngology
- Record Identifier
- 9984360130002771
Metrics
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