Detection of acute 3,4-methylenedioxymethamphetamine (MDMA) effects across protocols using automated natural language processing
Neuropsychopharmacology January 24, 2020 Carla Agurto, Guillermo Cecchi, Raquel Norel et al. 33 citations
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...
DOI: 10.1038/s41386-020-0620-4 (opens in new tab)
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MDMA
Ecstasy
Audiology
Placebo
+3