PMID- 31978933
OWN - NLM
STAT- MEDLINE
DCOM- 20210330
LR  - 20240329
IS  - 1740-634X (Electronic)
IS  - 0893-133X (Print)
IS  - 0893-133X (Linking)
VI  - 45
IP  - 5
DP  - 2020 Apr
TI  - Detection of acute 3,4-methylenedioxymethamphetamine (MDMA) effects across 
      protocols using automated natural language processing.
PG  - 823-832
LID - 10.1038/s41386-020-0620-4 [doi]
AB  - 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.
FAU - Agurto, Carla
AU  - Agurto C
AD  - Computational Biology Center - Neuroscience, IBM T.J. Watson Research Center, 
      Yorktown Heights, NY, USA.
FAU - Cecchi, Guillermo A
AU  - Cecchi GA
AUID- ORCID: 0000-0003-1013-8348
AD  - Computational Biology Center - Neuroscience, IBM T.J. Watson Research Center, 
      Yorktown Heights, NY, USA. gcecchi@us.ibm.com.
FAU - Norel, Raquel
AU  - Norel R
AUID- ORCID: 0000-0001-7737-4172
AD  - Computational Biology Center - Neuroscience, IBM T.J. Watson Research Center, 
      Yorktown Heights, NY, USA.
FAU - Ostrand, Rachel
AU  - Ostrand R
AD  - Computational Biology Center - Neuroscience, IBM T.J. Watson Research Center, 
      Yorktown Heights, NY, USA.
FAU - Kirkpatrick, Matthew
AU  - Kirkpatrick M
AD  - Department of Preventive Medicine, Keck School of Medicine, University of 
      Southern California, Los Angeles, CA, USA.
FAU - Baggott, Matthew J
AU  - Baggott MJ
AD  - Addiction and Pharmacology Research Laboratory, Friends Research Institute, San 
      Francisco, CA, USA.
FAU - Wardle, Margaret C
AU  - Wardle MC
AD  - Department of Psychology, University of Illinois at Chicago, Chicago, IL, USA.
FAU - Wit, Harriet de
AU  - Wit H
AD  - Human Behavioral Pharmacology Laboratory, Department of Psychiatry and Behavioral 
      Neuroscience, University of Chicago, Chicago, IL, USA.
FAU - Bedi, Gillinder
AU  - Bedi G
AD  - Centre for Youth Mental Health, University of Melbourne, and Orygen National 
      Centre of Excellence in Youth Mental Health, Melbourne, Australia.
LA  - eng
GR  - K23 DA034877/DA/NIDA NIH HHS/United States
GR  - R01 DA002812/DA/NIDA NIH HHS/United States
PT  - Journal Article
PT  - Randomized Controlled Trial
PT  - Research Support, N.I.H., Extramural
DEP - 20200124
PL  - England
TA  - Neuropsychopharmacology
JT  - Neuropsychopharmacology : official publication of the American College of 
      Neuropsychopharmacology
JID - 8904907
RN  - 0 (Psychotropic Drugs)
RN  - 50-56-6 (Oxytocin)
RN  - KE1SEN21RM (N-Methyl-3,4-methylenedioxyamphetamine)
SB  - IM
MH  - Administration, Intranasal
MH  - Adult
MH  - Double-Blind Method
MH  - Female
MH  - Humans
MH  - *Language
MH  - Male
MH  - N-Methyl-3,4-methylenedioxyamphetamine/*administration & dosage
MH  - *Neuropsychological Tests
MH  - Oxytocin/administration & dosage
MH  - Psycholinguistics
MH  - Psychotropic Drugs/*administration & dosage
MH  - Semantics
MH  - Speech/*drug effects
MH  - Young Adult
PMC - PMC7075895
EDAT- 2020/01/25 06:00
MHDA- 2021/03/31 06:00
PMCR- 2020/01/24
CRDT- 2020/01/25 06:00
PHST- 2019/08/23 00:00 [received]
PHST- 2020/01/08 00:00 [accepted]
PHST- 2019/11/28 00:00 [revised]
PHST- 2020/01/25 06:00 [pubmed]
PHST- 2021/03/31 06:00 [medline]
PHST- 2020/01/25 06:00 [entrez]
PHST- 2020/01/24 00:00 [pmc-release]
AID - 10.1038/s41386-020-0620-4 [pii]
AID - 620 [pii]
AID - 10.1038/s41386-020-0620-4 [doi]
PST - ppublish
SO  - Neuropsychopharmacology. 2020 Apr;45(5):823-832. doi: 10.1038/s41386-020-0620-4. 
      Epub 2020 Jan 24.