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Digital Speech Analysis in Progressive Supranuclear Palsy and Corticobasal Syndromes
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In: J Alzheimers Dis (2021)
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Automated analysis of lexical features in Frontotemporal Degeneration
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In: Cortex (2021)
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Automated analysis of natural speech in amyotrophic lateral sclerosis spectrum disorders
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In: Neurology (2020)
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Automated analysis of lexical features in Frontotemporal Degeneration
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Cho, Sunghye; Nevler, Naomi; Ash, Sharon; Shellikeri, Sanjana; Irwin, David J.; Massimo, Lauren; Rascovsky, Katya; Olm, Christopher; Grossman, Murray; Liberman, Mark
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In: medRxiv (2020)
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Abstract:
We implemented an automated analysis of lexical aspects of semi-structured speech produced by healthy elderly controls (n=37) and three patient groups with frontotemporal degeneration (FTD): behavioral variant FTD (n=74), semantic variant primary progressive aphasia (svPPA, n=42), and nonfluent/agrammatic PPA (naPPA, n=22). Based on previous findings, we hypothesized that the three patient groups and controls would differ in the counts of part-of-speech (POS) categories and several lexical measures. With a natural language processing program, we automatically tagged POS categories of all words produced during a picture description task. We further counted the number of wh-words, and we rated nouns for abstractness, ambiguity, frequency, familiarity, and age of acquisition. We also computed the cross-entropy estimation, which is a measure of word predictability, and lexical diversity for each description. We validated a subset of the POS data that were automatically tagged with the Google Universal POS scheme using gold-standard POS data tagged by a linguist, and we found that the POS categories from our automated methods were more than 90% accurate. For svPPA patients, we found fewer unique nouns than in naPPA and more pronouns and wh-words than in the other groups. We also found high abstractness, ambiguity, frequency, and familiarity for nouns and the lowest cross-entropy estimation among all groups. These measures were associated with cortical thinning in the left temporal lobe. In naPPA patients, we found increased speech errors and partial words compared to controls, and these impairments were associated with cortical thinning in the left middle frontal gyrus. bvFTD patients’ adjective production was decreased compared to controls and was correlated with their apathy scores. Their adjective production was associated with cortical thinning in the dorsolateral frontal and orbitofrontal gyri. Our results demonstrate distinct language profiles in subgroups of FTD patients and validate our automated method of analyzing FTD patients’ speech.
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URL: http://www.ncbi.nlm.nih.gov/pubmed/33173922 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654918/ https://doi.org/10.1101/2020.09.10.20192054
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A Longitudinal Study of Speech Production in Primary Progressive Aphasia and Behavioral Variant Frontotemporal Dementia
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In: Brain Lang (2019)
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Linguistic markers in Parkinson’s disease (Smith et al., 2018) ...
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Linguistic markers in Parkinson’s disease (Smith et al., 2018) ...
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Validated automatic speech biomarkers in primary progressive aphasia
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Longitudinal Changes in Semantic Concreteness in Semantic Variant Primary Progressive Aphasia (svPPA)
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Evaluation of Linguistic Markers of Word-Finding Difficulty and Cognition in Parkinson's Disease
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Clinical marker for Alzheimer disease pathology in logopenic primary progressive aphasia
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Longitudinal decline in speech production in Parkinson's disease spectrum disorders
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Transcranial direct current stimulation for the treatment of primary progressive aphasia: An open-label pilot study
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Dissociation of Quantifiers and Object Nouns in Speech in Focal Neurodegenerative Disease
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Dissociable substrates underlie the production of abstract and concrete nouns
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Deficits in sentence expression in amyotrophic lateral sclerosis
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Differentiating primary progressive aphasias in a brief sample of connected speech
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Grammatical comprehension deficits in non-fluent/agrammatic primary progressive aphasia
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