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1
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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Language as a Biomarker for Psychosis: A Natural Language Processing Approach
In: Schizophr Res (2020)
Abstract: Human ratings of conceptual disorganization, poverty of content, referential cohesion and illogical thinking have been shown to predict psychosis onset in prospective clinical high risk (CHR) cohort studies. The potential value of linguistic biomarkers has been significantly magnified, however, by recent advances in natural language processing (NLP) and machine learning (ML). Such methodologies allow for the rapid and objective measurement of language features, many of which are not easily recognized by human raters. Here we review the key findings on language production disturbance in psychosis. We also describe recent advances in the computational methods used to analyze language data, including methods for the automatic measurement of discourse coherence, syntactic complexity, poverty of content, referential coherence, and metaphorical language. Linguistic biomarkers of psychosis risk are now undergoing cross-validation, with attention to harmonization of methods. Future directions in extended CHR networks include studies of sources of variance, and combination with other promising biomarkers of psychosis risk, such as cognitive and sensory processing impairments likely to be related to language. Implications for the broader study of social communication, including reciprocal prosody, face expression and gesture, are discussed.
Keyword: Article
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7704556/
https://doi.org/10.1016/j.schres.2020.04.032
http://www.ncbi.nlm.nih.gov/pubmed/32499162
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3
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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4
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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5
T35. SPEED OF FACE PROCESSING PREDICTS PSYCHOSIS IN AT-RISK YOUTHS
Bilgrami, Zarina; Benavides, Caridad; Sarac, Cansu. - : Oxford University Press, 2019
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6
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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