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1
Neural Topic Modeling of Psychotherapy Sessions ...
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Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study
In: Journal of Medical Internet Research (2020)
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3
Using language processing and speech analysis for the identification of psychosis and other disorders
In: Biol Psychiatry Cogn Neurosci Neuroimaging (2020)
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4
Dreaming during the Covid-19 pandemic: Computational assessment of dream reports reveals mental suffering related to fear of contagion
In: PLoS One (2020)
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5
Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook
In: NPJ Schizophr (2020)
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6
Language as a Biomarker for Psychosis: A Natural Language Processing Approach
In: Schizophr Res (2020)
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7
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study
In: J Med Internet Res (2020)
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8
Linguistic markers predict onset of Alzheimer's disease
In: EClinicalMedicine (2020)
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9
Detection of acute 3,4-methylenedioxymethamphetamine (MDMA) effects across protocols using automated natural language processing
Abstract: The detection of changes in mental states such as those caused by psychoactive drugs relies on clinical assessments that are inherently subjective. Automated speech analysis may represent a novel method to detect objective markers, which could help improve the characterization of these mental states. In this study, we employed computer-extracted speech features from multiple domains (acoustic, semantic, and psycholinguistic) to assess mental states after controlled administration of 3,4-methylenedioxymethamphetamine (MDMA) and intranasal oxytocin. The training/validation set comprised within-participants data from 31 healthy adults who, over four sessions, were administered MDMA (0.75, 1.5 mg/kg), oxytocin (20 IU), and placebo in randomized, double-blind fashion. Participants completed two 5-min speech tasks during peak drug effects. Analyses included group-level comparisons of drug conditions and estimation of classification at the individual level within this dataset and on two independent datasets. Promising classification results were obtained to detect drug conditions, achieving cross-validated accuracies of up to 87% in training/validation and 92% in the independent datasets, suggesting that the detected patterns of speech variability are associated with drug consumption. Specifically, we found that oxytocin seems to be mostly driven by changes in emotion and prosody, which are mainly captured by acoustic features. In contrast, mental states driven by MDMA consumption appear to manifest in multiple domains of speech. Furthermore, we find that the experimental task has an effect on the speech response within these mental states, which can be attributed to presence or absence of an interaction with another individual. These results represent a proof-of-concept application of the potential of speech to provide an objective measurement of mental states elicited during intoxication.
Keyword: Article
URL: https://doi.org/10.1038/s41386-020-0620-4
http://www.ncbi.nlm.nih.gov/pubmed/31978933
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075895/
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10
From discourse to pathology: Automatic identification of Parkinson’s disease patients via morphological measures across three languages
In: Cortex (2020)
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11
The history of writing reflects the effects of education on discourse structure: implications for literacy, orality, psychosis and the axial age
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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
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13
SPEECH MARKERS FOR CLINICAL ASSESSMENT OF COCAINE USERS
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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
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15
24.2 NATURAL LANGUAGE PROCESSING STUDIES OF PSYCHOSIS AND ITS RISK STATES
Cecchi, Guillermo; Gutierrez, Elkin; Corcoran, Cheryl. - : Oxford University Press, 2019
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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
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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
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18
Predicting natural language descriptions of mono-molecular odorants
Gutiérrez, E. Darío; Dhurandhar, Amit; Keller, Andreas. - : Nature Publishing Group UK, 2018
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19
The maturation of speech structure in psychosis is resistant to formal education
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20
The ontogeny of discourse structure mimics the development of literature ...
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