Facundo Carrillo
National Scientific and Technical Research Council
21 Papers
73 Citations
Facundo Carrillo is an academic researcher from National Scientific and Technical Research Council. The author has contributed to research in topics: Semantic similarity & Cannabis. The author has an hindex of 8, co-authored 19 publications. Previous affiliations of Facundo Carrillo include Facultad de Ciencias Exactas y Naturales & University of Buenos Aires.
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Papers
Automated analysis of free speech predicts psychosis onset in high-risk youths
Gillinder Bedi,Facundo Carrillo,Guillermo A. Cecchi,Diego Fernández Slezak,Mariano Sigman,Natália Bezerra Mota,Sidarta Ribeiro,Daniel C. Javitt,Mauro Copelli,Cheryl Corcoran +9 more
- 26 Aug 2015
TL;DR: Findings support the utility of automated speech analysis to measure subtle, clinically relevant mental state changes in emergent psychosis, as well as outperforming classification from clinical interviews.
Prediction of psychosis across protocols and risk cohorts using automated language analysis.
Cheryl Corcoran,Facundo Carrillo,Diego Fernández-Slezak,Diego Fernández-Slezak,Gillinder Bedi,Casimir C. Klim,Daniel C. Javitt,Carrie E. Bearden,Guillermo A. Cecchi +8 more
TL;DR: The findings support the utility and validity of automated natural language processing methods to characterize disturbances in semantics and syntax across stages of psychotic disorder and identify sources of variability.
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How language flows when movements don't: An automated analysis of spontaneous discourse in Parkinson's disease.
Adolfo M. García,Adolfo M. García,Adolfo M. García,Facundo Carrillo,Juan Rafael Orozco-Arroyave,Natalia Trujillo,Jesús Francisco Vargas Bonilla,Sol Fittipaldi,Federico Adolfi,Elmar Nöth,Mariano Sigman,Diego Fernández Slezak,Agustín Ibáñez,Guillermo A. Cecchi +13 more
TL;DR: The results highlight the relevance of studying naturalistic discourse features to tap the integrity of neural (and, particularly, motor) networks, beyond the possibilities of standard token-level instruments.
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A Window into the Intoxicated Mind? Speech as an Index of Psychoactive Drug Effects
Gillinder Bedi,Guillermo A. Cecchi,Diego Fernández Slezak,Facundo Carrillo,Mariano Sigman,Harriet de Wit +5 more
TL;DR: This paper employed computational analyses of speech semantic and topological structure after ±3,4-methylenedioxymethamphetamine (MDMA; ‘ecstasy’) and methamphetamine in 13 ecstasy users.
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Natural speech algorithm applied to baseline interview data can predict which patients will respond to psilocybin for treatment-resistant depression.
Facundo Carrillo,Facundo Carrillo,Mariano Sigman,Diego Fernández Slezak,Philip Ashton,Lily Fitzgerald,Jack Stroud,David J. Nutt,Robin L. Carhart-Harris +8 more
TL;DR: Automatic natural language analysis was used to predict effective response to treatment with psilocybin, suggesting that these tools offer a highly cost-effective facility for screening individuals for treatment suitability and sensitivity.
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