Artificial grammar learning in vascular and progressive non-fluent aphasias. (September 2017)
- Record Type:
- Journal Article
- Title:
- Artificial grammar learning in vascular and progressive non-fluent aphasias. (September 2017)
- Main Title:
- Artificial grammar learning in vascular and progressive non-fluent aphasias
- Authors:
- Cope, Thomas E.
Wilson, Benjamin
Robson, Holly
Drinkall, Rebecca
Dean, Lauren
Grube, Manon
Jones, P. Simon
Patterson, Karalyn
Griffiths, Timothy D.
Rowe, James B.
Petkov, Christopher I. - Abstract:
- 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,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. Graphical abstract: Highlights: 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. … (more)
- Is Part Of:
- Neuropsychologia. Volume 104(2017)
- Journal:
- Neuropsychologia
- Issue:
- Volume 104(2017)
- Issue Display:
- Volume 104, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 104
- Issue:
- 2017
- Issue Sort Value:
- 2017-0104-2017-0000
- Page Start:
- 201
- Page End:
- 213
- Publication Date:
- 2017-09
- Subjects:
- nfvPPA Non-fluent variant Primary Progressive Aphasia -- PNFA Progressive Non-Fluent Aphasia -- naPPA nonfluent/agrammatic Primary Progressive Aphasia -- PPA-G Agrammatic Primary Progressive Aphasia
Aphasia -- Grammar -- Stroke -- Frontotemporal dementia -- Implicit learning
Neuropsychology -- Periodicals
Neurology -- Periodicals
Psychophysiology -- Periodicals
Neuropsychologie -- Périodiques
Neuropsychology
Periodicals
Electronic journals
616.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00283932 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.neuropsychologia.2017.08.022 ↗
- Languages:
- English
- ISSNs:
- 0028-3932
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6081.550000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4718.xml