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1
White Matter Disruption and Connected Speech in Non-Fluent and Semantic Variants of Primary Progressive Aphasia
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2
White Matter Disruption and Connected Speech in Non-Fluent and Semantic Variants of Primary Progressive Aphasia
Marcotte, Karine; Graham, Naida L; Fraser, Kathleen C. - : Karger Publishers, 2017
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3
Lack of Frank Agrammatism in the Nonfluent Agrammatic Variant of Primary Progressive Aphasia
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4
Lack of Frank Agrammatism in the Nonfluent Agrammatic Variant of Primary Progressive Aphasia
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5
Profiling Speech and Pausing in Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Dementia (FTD)
Yunusova, Yana; Graham, Naida L.; Shellikeri, Sanjana. - : Public Library of Science, 2016
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6
Dysgraphia in primary progressive aphasia: Characterisation of impairments and therapy options
In: Aphasiology. - London [u.a.] : Routledge, Taylor & Francis Group 28 (2014) 8, 1092-1111
OLC Linguistik
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7
Word retrieval therapies in primary progressive aphasia
In: Aphasiology. - London [u.a.] : Routledge, Taylor & Francis Group 28 (2014) 8, 1038-1068
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8
Automated classification of primary progressive aphasia subtypes from narrative speech transcripts ; Automated classification of primary progressive aphasia subtypes from narrative speech samples
Abstract: The final version of this article from Elsevier can be found at http://dx.doi.org/10.1016/j.cortex.2012.12.006 ; In the early stages of neurodegenerative disorders, individuals may exhibit a decline in language abilities that is difficult to quantify with standardized tests. Careful analysis of connected speech can provide valuable information about a patient's language capacities. To date, this type of analysis has been limited by its time-consuming nature. In this study, we present a method for evaluating and classifying connected speech in primary progressive aphasia using computational techniques. Syntactic and semantic features were automatically extracted from transcriptions of narrative speech for three groups: semantic dementia (SD), progressive nonfluent aphasia (PNFA), and healthy controls. Features that varied significantly between the groups were used to train machine learning classifiers, which were then tested on held-out data. We achieved accuracies well above baseline on the three binary classification tasks. An analysis of the influential features showed that in contrast with controls, both patient groups tended to use words which were higher in frequency (especially nouns for SD, and verbs for PNFA). The SD patients also tended to use words (especially nouns) that were higher in familiarity, and they produced fewer nouns, but more demonstratives and adverbs, than controls. The speech of the PNFA group tended to be slower and incorporate shorter words than controls. The patient groups were distinguished from each other by the SD patients' relatively increased use of words which are high in frequency and/or familiarity.
Keyword: Machine learning; Narrative speech; Natural language processing; Progressive nonfluent aphasia; Semantic dementia
URL: https://doi.org/10.1016/j.cortex.2012.12.006
http://hdl.handle.net/1807/78089
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9
Dysgraphia in primary progressive aphasia: Characterisation of impairments and therapy options
Graham, Naida L.. - : Taylor & Francis, 2014
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10
Verb production in sentences by patients with nonfluent progressive aphasia
In: Brain & language. - Orlando, Fla. [u.a.] : Elsevier 103 (2007) 1-2, 69
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11
Progressive non-fluent aphasia is not a progressive form of non-fluent (post-stroke) aphasia
In: Aphasiology. - London [u.a.] : Routledge, Taylor & Francis Group 20 (2006) 9-11, 1018-1034
BLLDB
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12
Progressive non-fluent aphasia is associated with hypometabolism centred on the left anterior insula
Nestor, Peter J.; Graham, Naida L.; Fryer, Tim D.. - : Oxford University Press, 2003
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13
Progressive non-fluent aphasia is associated with hypometabolism centred on the left anterior insula
Nestor, Peter J.; Graham, Naida L.; Fryer, Tim D.. - : Oxford University Press, 2003
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14
Progressive non-fluent aphasia is associated with hypometabolism centred on the left anterior insula
Patterson, Karalyn; Graham, Naida L.; Williams, Guy B.. - : Oxford University Press, 2003
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15
The emergence of jargon in progressive fluent dysgraphia: The widening gap between target and response
In: Cognitive neuropsychology. - Abingdon : Routledge, Taylor & Francis Group 18 (2001) 4, 343-362
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16
Progressive Dysgraphia: Co-occurrence of Central and Peripheral Impairments
In: Cognitive neuropsychology. - Abingdon : Routledge, Taylor & Francis Group 14 (1997) 7, 975-1006
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