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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 61 1 Digital Speech Analysis in Progressive Supranuclear Palsy and Corticobasal Syndromes Parjane, Natalia; Cho, Sunghye; Ash, Sharon... In: J Alzheimers Dis (2021) BASE Show details 2 Automated analysis of lexical features in Frontotemporal Degeneration Cho, Sunghye; Nevler, Naomi; Ash, Sharon... In: Cortex (2021) BASE Show details 3 Utility of the global CDR® plus NACC FTLD rating and development of scoring rules: Data from the ARTFL/LEFFTDS Consortium Miyagawa, Toji; Brushaber, Danielle; Syrjanen, Jeremy... In: Alzheimers Dement (2020) BASE Show details 4 C9orf72, age at onset, and ancestry help discriminate behavioral from language variants in FTLD cohorts Costa, Beatrice; Manzoni, Claudia; Bernal-Quiros, Manuel... In: Neurology (2020) BASE Show details 5 Automated analysis of natural speech in amyotrophic lateral sclerosis spectrum disorders Nevler, Naomi; Ash, Sharon; McMillan, Corey... In: Neurology (2020) BASE Show details 6 Automated analysis of lexical features in Frontotemporal Degeneration Cho, Sunghye; Nevler, Naomi; Ash, Sharon; Shellikeri, Sanjana; Irwin, David J.; Massimo, Lauren; Rascovsky, Katya; Olm, Christopher; Grossman, Murray; Liberman, Mark In: medRxiv (2020) 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. Keyword: Article 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 BASE Hide details 7 A Longitudinal Study of Speech Production in Primary Progressive Aphasia and Behavioral Variant Frontotemporal Dementia Ash, Sharon; Nevler, Naomi; Phillips, Jeffrey... In: Brain Lang (2019) BASE Show details 8 PRIMARY PROGRESSIVE APHASIA AND STROKE APHASIA Grossman, Murray; Irwin, David J. In: Continuum (Minneap Minn) (2018) BASE Show details 9 Prevalence of Amyloid-β Pathology in Distinct Variants of Primary Progressive Aphasia Bergeron, David; Gorno-Tempini, Maria L.; Rabinovici, Gil D.. - 2018 BASE Show details 10 Clinical marker for Alzheimer disease pathology in logopenic primary progressive aphasia Giannini, Lucia A.A.; Irwin, David J.; McMillan, Corey T.. - : Lippincott Williams & Wilkins, 2017 BASE Show details 11 Linguistic Aspects of Primary Progressive Aphasia Grossman, Murray. - 2017 BASE Show details 12 Tau PET Imaging Predicts Cognition in Atypical Variants of Alzheimer’s Disease Phillips, Jeffrey S.; Das, Sandhitsu R.; McMillan, Corey T.. - 2017 BASE Show details 13 Neocortical Origin and Progression of Grey Matter Atrophy In Non-Amnestic Alzheimer’s Disease Phillips, Jeffrey S.; Re, Fulvio Da; Dratch, Laynie. - 2017 BASE Show details 14 Longitudinal decline in speech production in Parkinson's disease spectrum disorders Ash, Sharon; Jester, Charles; York, Collin. - 2017 BASE Show details 15 Transcranial direct current stimulation for the treatment of primary progressive aphasia: An open-label pilot study Gervits, Felix; Ash, Sharon; Coslett, H. Branch. - 2016 BASE Show details 16 Dissociation of Quantifiers and Object Nouns in Speech in Focal Neurodegenerative Disease Ash, Sharon; Ternes, Kylie; Bisbing, Teagan. - 2016 BASE Show details 17 ARTERIAL SPIN LABELING PERFUSION PREDICTS LONGITUDINAL DECLINE IN SEMANTIC VARIANT PRIMARY PROGRESSIVE APHASIA Olm, Christopher A.; Kandel, Benjamin M.; Avants, Brain B.. - 2016 BASE Show details 18 Dissociable substrates underlie the production of abstract and concrete nouns Cousins, Katheryn AQ; Ash, Sharon; Irwin, David J. - 2016 BASE Show details 19 How the brain learns how few are “many”: An fMRI study of the flexibility of quantifier semantics Heim, Stefan; McMillan, Corey T.; Clark, Robin. - 2015 BASE Show details 20 Acoustic richness modulates the neural networks supporting intelligible speech processing Lee, Yune-Sang; Min, Nam Eun; Wingfield, Arthur. - 2015 BASE Show details Page: 1 2 3 4

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