Cited by 210Suicide and Self-Harm StudiesMental Health via WritingNeural and Behavioral Psychology Studies

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RETRACTED ARTICLE: Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth

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Just, Marcel Adam, Pan, Lisa, Cherkassky, Vladimir L., McMakin, Dana L., Cha, Christine, Nock, Matthew K., Brent, David·2017·Nature Human Behaviour

DOI 10.1038/s41562-017-0234-yPMC PMC5777614

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Abstract

The clinical assessment of suicidal risk would be significantly complemented by a biologically-based measure that assesses alterations in the neural representations of concepts related to death and life in people who engage in suicidal ideation. This study used machine-learning algorithms (Gaussian Naïve Bayes) to identify such individuals (17 suicidal ideators vs 17 controls) with high (91%) accuracy, based on their altered fMRI neural signatures of death and life-related concepts. The most discriminating concepts were death, cruelty, trouble, carefree, good, and praise. A similar classification accurately (94%) discriminated 9 suicidal ideators who had made a suicide attempt from 8 who had not. Moreover, a major facet of the concept alterations was the evoked emotion, whose neural signature served as an alternative basis for accurate (85%) group classification. The study establishes a biological, neurocognitive basis for altered concept representations in participants with suicidal ideation, which enables highly accurate group membership classification.

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Authors: Just, M. A., Pan, L., Cherkassky, V. L., McMakin, D. L., Cha, C., Nock, M. K., & Brent, D.
Affiliations: Carnegie Mellon University (US)
University of Pittsburgh (US)
Florida International University (US)
Columbia University (US)
Harvard University (US)
Corresponding author: Just, Marcel Adam
ORCID: Just, Marcel Adam
Pan, Lisa
McMakin, Dana L.
Cha, Christine
Nock, Matthew K.
Brent, David
Venue: Nature Human Behaviour
Publisher: Springer Science and Business Media LLC
Published: 2017-10-30
Volume: 1
Issue: 12
Pages: 911-919
ISSN: 2397-3374 (ISSN-L)
DOI: 10.1038/s41562-017-0234-y
PMC: PMC5777614
OpenAlex: W2766099988
Cited by: 210
References: 47
Citations by year: 2026: 3 · 2025: 8 · 2024: 11 · 2023: 20 · 2022: 28 · 2021: 48 · 2020: 29 · 2019: 35 · 2018: 24 · 2017: 4
FWCI: 30.89
Type: journal article
Language: en
Status: Retracted
Update notices: retraction (2023-04-06)
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Nature Human Behaviour (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
ORBi (University of Liège) (submittedVersion, other-oa)
RePEc: Research Papers in Economics (submittedVersion)
Funders: University of Pittsburgh
National Institute of Mental Health (MH029617, R01MH029617, R01MH116652)
Topics: Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
Social Sciences › Psychology › Social Psychology › Mental Health via Writing
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords: suicidal ideation, suicide risk assessment, youth suicide, emotional processing, suicide attempts, retracted article

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RETRACTED ARTICLE: Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth

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