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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 Hits 1 – 20 of 26 1 Neural Topic Modeling of Psychotherapy Sessions ... Lin, Baihan; Bouneffouf, Djallel; Cecchi, Guillermo. - : arXiv, 2022 BASE Show details 2 Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study Low, Daniel M.; Rumker, Laurie; Talkar, Tanya... In: Journal of Medical Internet Research (2020) BASE Show details 3 Using language processing and speech analysis for the identification of psychosis and other disorders Corcoran, Cheryl Mary; Cecchi, Guillermo In: Biol Psychiatry Cogn Neurosci Neuroimaging (2020) BASE Show details 4 Dreaming during the Covid-19 pandemic: Computational assessment of dream reports reveals mental suffering related to fear of contagion Mota, Natália Bezerra; Weissheimer, Janaina; Ribeiro, Marina... In: PLoS One (2020) BASE Show details 5 Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook Birnbaum, Michael L.; Norel, Raquel; Van Meter, Anna... In: NPJ Schizophr (2020) BASE Show details 6 Language as a Biomarker for Psychosis: A Natural Language Processing Approach Corcoran, Cheryl M.; Mittal, Vijay A.; Bearden, Carrie E.... In: Schizophr Res (2020) BASE Show details 7 Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study Low, Daniel M; Rumker, Laurie; Talkar, Tanya... In: J Med Internet Res (2020) BASE Show details 8 Linguistic markers predict onset of Alzheimer's disease Eyigoz, Elif; Mathur, Sachin; Santamaria, Mar; Cecchi, Guillermo; Naylor, Melissa In: EClinicalMedicine (2020) Abstract: BACKGROUND: The aim of this study is to use classification methods to predict future onset of Alzheimer's disease in cognitively normal subjects through automated linguistic analysis. METHODS: To study linguistic performance as an early biomarker of AD, we performed predictive modeling of future diagnosis of AD from a cognitively normal baseline of Framingham Heart Study participants. The linguistic variables were derived from written responses to the cookie-theft picture-description task. We compared the predictive performance of linguistic variables with clinical and neuropsychological variables. The study included 703 samples from 270 participants out of which a dataset consisting of a single sample from 80 participants was held out for testing. Half of the participants in the test set developed AD symptoms before 85 years old, while the other half did not. All samples in the test set were collected during the cognitively normal period (before MCI). The mean time to diagnosis of mild AD was 7.59 years. FINDINGS: Significant predictive power was obtained, with AUC of 0.74 and accuracy of 0.70 when using linguistic variables. The linguistic variables most relevant for predicting onset of AD have been identified in the literature as associated with cognitive decline in dementia. INTERPRETATION: The results suggest that language performance in naturalistic probes expose subtle early signs of progression to AD in advance of clinical diagnosis of impairment. FUNDING: Pfizer, Inc. provided funding to obtain data from the Framingham Heart Study Consortium, and to support the involvement of IBM Research in the initial phase of the study. The data used in this study was supported by Framingham Heart Study's National Heart, Lung, and Blood Institute contract (N01-HC-25195), and by grants from the National Institute on Aging grants (R01-AG016495, R01-AG008122) and the National Institute of Neurological Disorders and Stroke (R01-NS017950). Keyword: Research Paper URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700896/ https://doi.org/10.1016/j.eclinm.2020.100583 http://www.ncbi.nlm.nih.gov/pubmed/33294808 BASE Hide details 9 Detection of acute 3,4-methylenedioxymethamphetamine (MDMA) effects across protocols using automated natural language processing Agurto, Carla; Cecchi, Guillermo A.; Norel, Raquel. - : Springer International Publishing, 2020 BASE Show details 10 From discourse to pathology: Automatic identification of Parkinson’s disease patients via morphological measures across three languages Eyigoz, Elif; Courson, Melody; Sedeño, Lucas... In: Cortex (2020) BASE Show details 11 The history of writing reflects the effects of education on discourse structure: implications for literacy, orality, psychosis and the axial age Pinheiro, Sylvia; Mota, Natália Bezerra; Sigman, Mariano. - : Elsevier, 2020 BASE Show details 12 Differential 28-Days Cyclic Modulation of Affective Intensity in Female and Male Participants via Social Media Gallino, Lucila; Carrillo, Facundo; Cecchi, Guillermo A.. - : Frontiers Media S.A., 2019 BASE Show details 13 SPEECH MARKERS FOR CLINICAL ASSESSMENT OF COCAINE USERS Agurto, Carla; Norel, Raquel; Pietrowicz, Mary. - 2019 BASE Show details 14 S19. ANALYZING NEGATIVE SYMPTOMS AND LANGUAGE IN YOUTHS AT RISK FOR PSYCHOSIS USING AUTOMATED LANGUAGE ANALYSIS Stanislawski, Emma; Bilgrami, Zarina; Sarac, Cansu. - : Oxford University Press, 2019 BASE Show details 15 24.2 NATURAL LANGUAGE PROCESSING STUDIES OF PSYCHOSIS AND ITS RISK STATES Cecchi, Guillermo; Gutierrez, Elkin; Corcoran, Cheryl. - : Oxford University Press, 2019 BASE Show details 16 Prediction of psychosis across protocols and risk cohorts using automated language analysis Corcoran, Cheryl M.; Carrillo, Facundo; Fernández‐Slezak, Diego. - : John Wiley and Sons Inc., 2018 BASE Show details 17 The maturation of speech structure in psychosis is resistant to formal education Mota, Natália Bezerra; Sigman, Mariano; Cecchi, Guillermo. - : Nature Publishing Group UK, 2018 BASE Show details 18 Predicting natural language descriptions of mono-molecular odorants Gutiérrez, E. Darío; Dhurandhar, Amit; Keller, Andreas. - : Nature Publishing Group UK, 2018 BASE Show details 19 The maturation of speech structure in psychosis is resistant to formal education Mota, Natália Bezerra; Sigman, Mariano; Cecchi, Guillermo. - 2018 BASE Show details 20 The ontogeny of discourse structure mimics the development of literature ... Mota, Natalia Bezerra; Pinheiro, Sylvia; Sigman, Mariano. - : arXiv, 2016 BASE Show details Page: 1 2

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