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Natural language signatures of psilocybin microdosing.
Sanz, Camila; Cavanna, Federico; Muller, Stephanie; de la Fuente, Laura; Zamberlan, Federico; Palmucci, Matías; Janeckova, Lucie; Kuchar, Martin; Carrillo, Facundo; García, Adolfo M; Pallavicini, Carla; Tagliazucchi, Enzo.
Afiliação
  • Sanz C; Departamento de Física, Universidad de Buenos Aires and Instituto de Física de Buenos Aires (IFIBA - CONICET), Pabellón I, Ciudad Universitaria (1428), CABA, Buenos Aires, Argentina. camilasanz@gmail.com.
  • Cavanna F; Departamento de Física, Universidad de Buenos Aires and Instituto de Física de Buenos Aires (IFIBA - CONICET), Pabellón I, Ciudad Universitaria (1428), CABA, Buenos Aires, Argentina.
  • Muller S; Fundación Para La Lucha Contra Las Enfermedades Neurológicas de La Infancia (FLENI), Montañeses 2325, C1428 CABA, Buenos Aires, Argentina.
  • de la Fuente L; Departamento de Física, Universidad de Buenos Aires and Instituto de Física de Buenos Aires (IFIBA - CONICET), Pabellón I, Ciudad Universitaria (1428), CABA, Buenos Aires, Argentina.
  • Zamberlan F; Departamento de Física, Universidad de Buenos Aires and Instituto de Física de Buenos Aires (IFIBA - CONICET), Pabellón I, Ciudad Universitaria (1428), CABA, Buenos Aires, Argentina.
  • Palmucci M; Institute of Cognitive and Translational Neuroscience, INECO Foundation, Favaloro University, Buenos Aires, Argentina.
  • Janeckova L; Departamento de Física, Universidad de Buenos Aires and Instituto de Física de Buenos Aires (IFIBA - CONICET), Pabellón I, Ciudad Universitaria (1428), CABA, Buenos Aires, Argentina.
  • Kuchar M; Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, the Netherlands.
  • Carrillo F; Departamento de Física, Universidad de Buenos Aires and Instituto de Física de Buenos Aires (IFIBA - CONICET), Pabellón I, Ciudad Universitaria (1428), CABA, Buenos Aires, Argentina.
  • García AM; Forensic Laboratory of Biologically Active Substances, Department of Chemistry of Natural Compounds, University of Chemistry and Technology Prague, Prague, Czech Republic.
  • Pallavicini C; Forensic Laboratory of Biologically Active Substances, Department of Chemistry of Natural Compounds, University of Chemistry and Technology Prague, Prague, Czech Republic.
  • Tagliazucchi E; Department of Experimental Neurobiology, National Institute of Mental Health, Klecany, Czech Republic.
Psychopharmacology (Berl) ; 239(9): 2841-2852, 2022 Sep.
Article em En | MEDLINE | ID: mdl-35676541
RATIONALE: Serotonergic psychedelics are being studied as novel treatments for mental health disorders and as facilitators of improved well-being, mental function, and creativity. Recent studies have found mixed results concerning the effects of low doses of psychedelics ("microdosing") on these domains. However, microdosing is generally investigated using instruments designed to assess larger doses of psychedelics, which might lack sensitivity and specificity for this purpose. OBJECTIVES: Determine whether unconstrained speech contains signatures capable of identifying the acute effects of psilocybin microdoses. METHODS: Natural speech under psilocybin microdoses (0.5 g of psilocybin mushrooms) was acquired from thirty-four healthy adult volunteers (11 females: 32.09 ± 3.53 years; 23 males: 30.87 ± 4.64 years) following a double-blind and placebo-controlled experimental design with two measurement weeks per participant. On Wednesdays and Fridays of each week, participants consumed either the active dose (psilocybin) or the placebo (edible mushrooms). Features of interest were defined based on variables known to be affected by higher doses: verbosity, semantic variability, and sentiment scores. Machine learning models were used to discriminate between conditions. Classifiers were trained and tested using stratified cross-validation to compute the AUC and p-values. RESULTS: Except for semantic variability, these metrics presented significant differences between a typical active microdose and the inactive placebo condition. Machine learning classifiers were capable of distinguishing between conditions with high accuracy (AUC [Formula: see text] 0.8). CONCLUSIONS: These results constitute first evidence that low doses of serotonergic psychedelics can be identified from unconstrained natural speech, with potential for widely applicable, affordable, and ecologically valid monitoring of microdosing schedules.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Alucinógenos / Transtornos Mentais Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Psychopharmacology (Berl) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Argentina País de publicação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Alucinógenos / Transtornos Mentais Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Psychopharmacology (Berl) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Argentina País de publicação: Alemanha