PMID- 32499162
OWN - NLM
STAT- MEDLINE
DCOM- 20210617
LR  - 20240330
IS  - 1573-2509 (Electronic)
IS  - 0920-9964 (Print)
IS  - 0920-9964 (Linking)
VI  - 226
DP  - 2020 Dec
TI  - Language as a biomarker for psychosis: A natural language processing approach.
PG  - 158-166
LID - S0920-9964(20)30247-4 [pii]
LID - 10.1016/j.schres.2020.04.032 [doi]
AB  - 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.
CI  - Copyright (c) 2020 Elsevier B.V. All rights reserved.
FAU - Corcoran, Cheryl M
AU  - Corcoran CM
AD  - Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 
      USA.
FAU - Mittal, Vijay A
AU  - Mittal VA
AD  - Department of Psychology, Northwestern University, Evanston, IL, USA.
FAU - Bearden, Carrie E
AU  - Bearden CE
AD  - Department of Psychiatry and Biobehavioral Sciences, University of California Los 
      Angeles, CA, USA; Department of Psychology, Semel Institute for Neuroscience and 
      Human Behavior, Brain Research Institute, University of California Los Angeles, 
      CA, USA; Department of Psychology, University of California Los Angeles, CA USA.
FAU - E Gur, Raquel
AU  - E Gur R
AD  - Brain Behavior Laboratory, Neuropsychiatry Division, Department of Psychiatry, 
      Philadelphia, PA 19104, USA.
FAU - Hitczenko, Kasia
AU  - Hitczenko K
AD  - Department of Linguistics, Northwestern University, Evanston, IL, USA.
FAU - Bilgrami, Zarina
AU  - Bilgrami Z
AD  - Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 
      USA.
FAU - Savic, Aleksandar
AU  - Savic A
AD  - Department of Diagnostics and Intensive Care, University Psychiatric Hospital 
      Vrapce, Zagreb, Croatia.
FAU - Cecchi, Guillermo A
AU  - Cecchi GA
AD  - Computational Biology Center-Neuroscience, IBM T.J. Watson Research Center, 
      Yorktown Heights, NY, USA.
FAU - Wolff, Phillip
AU  - Wolff P
AD  - Department of Psychology, Emory University, Atlanta, GA, USA. Electronic address: 
      pwolff@emory.edu.
LA  - eng
GR  - R01 MH107558/MH/NIMH NIH HHS/United States
GR  - R01 MH115332/MH/NIMH NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Review
DEP - 20200601
PL  - Netherlands
TA  - Schizophr Res
JT  - Schizophrenia research
JID - 8804207
RN  - 0 (Biomarkers)
SB  - IM
MH  - Biomarkers
MH  - Humans
MH  - Language
MH  - *Natural Language Processing
MH  - Prospective Studies
MH  - *Psychotic Disorders/diagnosis
PMC - PMC7704556
MID - NIHMS1600149
OTO - NOTNLM
OT  - Automated language analysis
OT  - Clinical high risk
OT  - Digital phenotyping
OT  - Discourse coherence
OT  - Latent semantic analysis
OT  - Machine learning
OT  - Natural language processing
OT  - Psychosis
OT  - Psychosis risk
OT  - Referential coherence
OT  - Schizophrenia
OT  - Semantic coherence
OT  - Semantic density
OT  - Ultra high risk
EDAT- 2020/06/06 06:00
MHDA- 2021/06/22 06:00
PMCR- 2021/12/01
CRDT- 2020/06/06 06:00
PHST- 2020/02/28 00:00 [received]
PHST- 2020/04/22 00:00 [revised]
PHST- 2020/04/24 00:00 [accepted]
PHST- 2020/06/06 06:00 [pubmed]
PHST- 2021/06/22 06:00 [medline]
PHST- 2020/06/06 06:00 [entrez]
PHST- 2021/12/01 00:00 [pmc-release]
AID - S0920-9964(20)30247-4 [pii]
AID - 10.1016/j.schres.2020.04.032 [doi]
PST - ppublish
SO  - Schizophr Res. 2020 Dec;226:158-166. doi: 10.1016/j.schres.2020.04.032. Epub 2020 
      Jun 1.