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

RETRACTED ARTICLE: Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth

Open access
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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Crossref · 10.1038/s41562-017-0234-yThis paper is marked retracted.

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46 of 46 references verified0 citation errors · 0 not checkable

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  • Individuals with a history of suicidal ideation or behavior show altered neural activation and neural network connectivity in prefrontal cortex regions.

    “An emerging line of research points to altered neural activation (Just et al. 2017, Miller et al. 2018, Pan et al. 2013, Quevedo et al. 2016) and neural network connectivity (Chase et al. 2017; Ordaz et al. 2018; Zhang et al. 2014, 2016) in PFC regions among individuals with a history of suicidal ideation or behavior.”

    From Adolescent Suicide as a Failure of Acute Stress-Response Systems. (2019) · cites this paper as Just et al. 2017

  • A similar classification approach discriminates suicide ideators and attempters.

    “A similar classification approach also discriminates suicide ideators and attempters.”

    From Neural correlates associated with suicide and nonsuicidal self-injury in youth (2021) · cites this paper as [86]

  • Machine learning shows distinct neural signatures in left inferior parietal region and left IFG that predict suicide ideator group membership.

    “Findings show distinct neural signatures in the left inferior parietal region and left IFG that are predictive of suicide ideator group membership (86).”

    From Neural correlates associated with suicide and nonsuicidal self-injury in youth (2021) · cites this paper as [86]

  • fMRI patterns for mental concepts distinguish suicidal ideators from attempters and healthy controls.

    “fMRI-measured neural representation of mental concept representations differentiates suicidal ideators from suicide attempters and healthy control subjects (273).”

    From A brain-centric model of suicidal behavior (2020) · cites this paper as [273]

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1 of the 47 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. [37]Beck AT Schuyler D Herman I Predict Suicide Beck AT Resnick HLP Lettieri DJ 45 56 Charles Press 1974
  2. [38]Oquendo MA Halberstam B Mann JJ Stand Eval cinical Pract First MB 103 129 American Psychiatric Press 2003

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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
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
Licence
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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