[Skip to Content]

Claim CME

Neurology

Studying Healthy Psychosislike Experiences to Improve Illness Prediction

To identify the key insights or developments described in this article

1 Credit CME

JAMA Psychiatry

Published Online: March 8, 2023

Special Communication

Article Information and Disclosures

Philip R. Corlett, PhD^1,2;

Sonia Bansal, PhD³;

James M. Gold, PhD³

Author Affiliations

¹Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
²Wu Tsai Institute, Yale University, New Haven, Connecticut
³Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore

Read article on JAMA Network

Read Article Claim CME

Abstract

Importance Distinguishing delusions and hallucinations from unusual beliefs and experiences has proven challenging.

Observations The advent of neural network and generative modeling approaches to big data offers a challenge and an opportunity; healthy individuals with unusual beliefs and experiences who are not ill may raise false alarms and serve as adversarial examples to such networks.

Conclusions and Relevance Explicitly training predictive models with adversarial examples should provide clearer focus on the features most relevant to casehood, which will empower clinical research and ultimately diagnosis and treatment.

Claim CME

Sign in to take quiz and track your certificates

Buy This Activity

Article Information

Accepted for Publication: January 9, 2023.

Published Online: March 8, 2023. doi:10.1001/jamapsychiatry.2023.0059

Corresponding Author: Philip R. Corlett, PhD, Department of Psychiatry, Yale University School of Medicine, 34 Park St, New Haven, CT 06519 (philip.corlett@yale.edu).

Conflict of Interest Disclosures: Dr Corlett is cofounder and equity holder of Tetricus Labs, a startup incorporated in 2022 that attempts to diagnose and treat mental illnesses using behavioral testing and artificial neural networks. Dr Gold reported personal fees from Vera Sci outside the submitted work. No other disclosures were reported.

Funding/Support: Drs Corlett, Bansal, and Gold were supported by National Institute of Mental Health grants R01MH112887 (all), R01 MH120090 (Dr Gold), and R01 MH120089 (Dr Corlett). Dr Corlett was also supported in part by the State of Connecticut, Department of Mental Health and Addiction Services.

Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Disclaimer: This publication does not express the views of the Department of Mental Health and Addiction Services or the State of Connecticut. The views and opinions expressed are those of the authors.

AMA CME Accreditation Information

Credit Designation Statement: The American Medical Association designates this Journal-based CME activity activity for a maximum of 1.00  AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to:

1.00 Medical Knowledge MOC points in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program;;
1.00 Self-Assessment points in the American Board of Otolaryngology – Head and Neck Surgery’s (ABOHNS) Continuing Certification program;
1.00 MOC points in the American Board of Pediatrics’ (ABP) Maintenance of Certification (MOC) program;
1.00 Lifelong Learning points in the American Board of Pathology’s (ABPath) Continuing Certification program; and
1.00 credit toward the CME [and Self-Assessment requirements] of the American Board of Surgery’s Continuous Certification program

It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting MOC credit.