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Utilising a systematic review-based approach to create a database of individual participant data for meta- and network meta-analyses: The RELEASE database of aphasia after stroke
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In: Research outputs 2014 to 2021 (2022)
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Utilising a systematic review-based approach to create a database of individual participant data for meta- and network meta-analyses: the RELEASE database of aphasia after stroke
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In: ISSN: 0268-7038 ; EISSN: 1464-5041 ; Aphasiology ; https://hal.archives-ouvertes.fr/hal-03528818 ; Aphasiology, Taylor & Francis (Routledge), 2021, ⟨10.1080/02687038.2021.1897081⟩ (2021)
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Predictors of Poststroke Aphasia Recovery: A Systematic Review-Informed Individual Participant Data Meta-Analysis
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In: ISSN: 0039-2499 ; EISSN: 1524-4628 ; Stroke ; https://hal.archives-ouvertes.fr/hal-03277820 ; Stroke, American Heart Association, 2021, 52 (5), pp.1778-1787. ⟨10.1161/strokeaha.120.031162⟩ (2021)
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Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer’s dementia ...
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Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer’s dementia ...
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Predictors of poststroke aphasia recovery: a systematic review-informed individual participant data meta-analysis
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Predictors of Poststroke Aphasia Recovery A Systematic Review-Informed Individual Participant Data Meta-Analysis
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Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer’s dementia
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Yeung, Anthony; Iaboni, Andrea; Rochon, Elizabeth; Lavoie, Monica; Santiago, Calvin; Yancheva, Maria; Novikova, Jekaterina; Xu, Mengdan; Robin, Jessica; Kaufman, Liam D.; Mostafa, Fariya
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In: Alzheimers Res Ther (2021)
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Abstract:
BACKGROUND: Language impairment is an important marker of neurodegenerative disorders. Despite this, there is no universal system of terminology used to describe these impairments and large inter-rater variability can exist between clinicians assessing language. The use of natural language processing (NLP) and automated speech analysis (ASA) is emerging as a novel and potentially more objective method to assess language in individuals with mild cognitive impairment (MCI) and Alzheimer’s dementia (AD). No studies have analyzed how variables extracted through NLP and ASA might also be correlated to language impairments identified by a clinician. METHODS: Audio recordings (n=30) from participants with AD, MCI, and controls were rated by clinicians for word-finding difficulty, incoherence, perseveration, and errors in speech. Speech recordings were also transcribed, and linguistic and acoustic variables were extracted through NLP and ASA. Correlations between clinician-rated speech characteristics and the variables were compared using Spearman’s correlation. Exploratory factor analysis was applied to find common factors between variables for each speech characteristic. RESULTS: Clinician agreement was high in three of the four speech characteristics: word-finding difficulty (ICC = 0.92, p<0.001), incoherence (ICC = 0.91, p<0.001), and perseveration (ICC = 0.88, p<0.001). Word-finding difficulty and incoherence were useful constructs at distinguishing MCI and AD from controls, while perseveration and speech errors were less relevant. Word-finding difficulty as a construct was explained by three factors, including number and duration of pauses, word duration, and syntactic complexity. Incoherence was explained by two factors, including increased average word duration, use of past tense, and changes in age of acquisition, and more negative valence. CONCLUSIONS: Variables extracted through automated acoustic and linguistic analysis of MCI and AD speech were significantly correlated with clinician ratings of speech and language characteristics. Our results suggest that correlating NLP and ASA with clinician observations is an objective and novel approach to measuring speech and language changes in neurodegenerative disorders. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-021-00848-x.
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Research
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178861/ https://doi.org/10.1186/s13195-021-00848-x http://www.ncbi.nlm.nih.gov/pubmed/34088354
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Simultaneous Normalization and Compensatory Changes in Right Hemisphere Connectivity during Aphasia Therapy
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A longitudinal study of narrative discourse in post-stroke aphasia
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Non-invasive brain stimulation as add-on therapy for subacute post-stroke aphasia: A randomized trial (NORTHSTAR)
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In: Research outputs 2014 to 2021 (2020)
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RELEASE: A protocol for a systematic review based, individual participant data, meta- and network meta-analysis, of complex speech-language therapy interventions for stroke-related aphasia
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In: Research outputs 2014 to 2021 (2020)
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Non-invasive brain stimulation as add-on therapy for subacute post-stroke aphasia: a randomized trial (NORTHSTAR) ...
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Non-invasive brain stimulation as add-on therapy for subacute post-stroke aphasia: a randomized trial (NORTHSTAR) ...
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sj-pdf-1-eso-10.1177_2396987320934935 - Supplemental material for Non-invasive brain stimulation as add-on therapy for subacute post-stroke aphasia: a randomized trial (NORTHSTAR) ...
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sj-pdf-1-eso-10.1177_2396987320934935 - Supplemental material for Non-invasive brain stimulation as add-on therapy for subacute post-stroke aphasia: a randomized trial (NORTHSTAR) ...
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Non-invasive brain stimulation as add-on therapy for subacute post-stroke aphasia: a randomized trial (NORTHSTAR)
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In: Eur Stroke J (2020)
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RELEASE: a protocol for a systematic review based, individual participant data, meta- and network meta-analysis, of complex speech-language therapy interventions for stroke-related aphasia
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RELEASE: a protocol for a systematic review based, individual participant data, meta- and network meta-analysis, of complex speech-language therapy interventions for stroke-related aphasia
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Predicting Early Post-stroke Aphasia Outcome From Initial Aphasia Severity
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