The DOI matches its Crossref record; 46 of the 47 references it cites were found in a registry or an index.
RETRACTED ARTICLE: Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“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
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910
Wechsler Abbreviated Scale of Intelligence
Dumont, R., Willis, J. O., Veizel, K., & Zibulsky, J. (2014) · Wiley eBooks · doi:10.1002/9781118660584.ese2519 · Cited by 5,546
Wechsler Abbreviated Scale of Intelligence
Wechsler, D. (1999) · PsycTESTS Dataset · doi:10.1037/t15170-000 · Cited by 4,681
Kroenke, K., Spitzer, R. L., Williams, J. B. W., & Löwe, B. (2010) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2010.03.006 · Cited by 4,057
Initial reliability and validity of a new retrospective measure of child abuse and neglect
(1994) · American Journal of Psychiatry · doi:10.1176/ajp.151.8.1132 · Cited by 3,577
State-Trait Anxiety Inventory for Adults
Spielberger, C. D. (2012) · PsycTESTS Dataset · doi:10.1037/t06496-000 · Cited by 3,479
Toward a clinical model of suicidal behavior in psychiatric patients
Mann, J. J., Waternaux, C., Haas, G. L., & Malone, K. M. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.2.181 · Cited by 1,791
Ribeiro, J. D., Franklin, J. C., Fox, K. R., Bentley, K. H., Kleiman, E. M., Chang, B. P., & Nock, M. K. (2016) · Psychological Medicine · doi:10.1017/s0033291715001804 · Cited by 1,346
Predicting Human Brain Activity Associated with the Meanings of Nouns
Mitchell, T. M., Shinkareva, S. V., Carlson, A., Chang, K.-M., Malave, V. L., Mason, R. A., & Just, M. A. (2008) · Science · doi:10.1126/science.1152876 · Cited by 1,180
Advances in cognitive theory and therapy: The generic cognitive model
Beck, A. T., & Haigh, E. A. P. (2014) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032813-153734 · Cited by 1,055
Borges, G., Nock, M. K., Haro Abad, J. M., Hwang, I., Sampson, N. A., Alonso, J., Andrade, L. H., Angermeyer, M. C., Beautrais, A., Bromet, E., et al. (2010) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.08m04967blu · Cited by 796
Clinical correlates of inpatient suicide
Busch, K. A., Fawcett, J., & Jacobs, D. G. (2003) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v64n0105 · Cited by 750
Nock, M. K., Prinstein, M. J., & Sterba, S. K. (2009) · Journal of Abnormal Psychology · doi:10.1037/a0016948 · Cited by 662
Self-citationMeasuring the Suicidal Mind: Implicit Cognition Predicts Suicidal Behavior
Nock, M. K., Park, J. M., Finn, C. T., Deliberto, T. L., Dour, H. J., & Banaji, M. R. (2010) · Psychological Science · doi:10.1177/0956797610364762 · Cited by 624
Kessler, R. C., Warner, C. H., Ivany, C., Petukhova, M. V., Rose, S., Bromet, E. J., Brown, M., Cai, T., Colpe, L. J., Cox, K. L., et al. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.1754 · Cited by 447
Bernstein, D. M. (1994) · American Journal of Psychiatry · doi:10.1176/ajp.151.1.18 · Cited by 408
Candidate endophenotypes for genetic studies of suicidal behavior
Mann, J. J., Arango, V. A., Avenevoli, S., Brent, D. A., Champagne, F. A., Clayton, P., Currier, D., Dougherty, D. M., Haghighi, F., Hodge, S. E., et al. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.11.021 · Cited by 398
Familial Pathways to Early-Onset Suicide Attempt
Brent, D. A., Oquendo, M. A., Birmaher, B. B., Greenhill, L. L., Kolko, D. J., Stanley, B., Zelazny, J. M., Brodsky, B., Bridge, J. A., Ellis, S., et al. (2002) · Archives of General Psychiatry · doi:10.1001/archpsyc.59.9.801 · Cited by 349
Improving the Short-Term Prediction of Suicidal Behavior
Glenn, C. R., & Nock, M. K. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2014.06.004 · Cited by 328
Identifying emotions on the basis of neural activation
Kassam, K. S., Markey, A. R., Cherkassky, V. L., Loewenstein, G., & Just, M. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066032 · Cited by 306
Self-citationAttentional bias toward suicide-related stimuli predicts suicidal behavior
Cha, C. B., Najmi, S., Park, J. M., Finn, C. T., & Nock, M. K. (2010) · Journal of Abnormal Psychology · doi:10.1037/a0019710 · Cited by 303 · cited 2×
“One of these measures is an adapted Emotional Stroop Task that assesses reaction times in response to suicide-related words relative to neutral words 11 ; another measure is an adapted Implicit Association Test that assesses reaction times in response to pairing suicide-related words and…”
Armey, M. F., Crowther, J. H., & Miller, I. W. (2011) · Behavior Therapy · doi:10.1016/j.beth.2011.01.002 · Cited by 292
Orbitofrontal cortex response to angry faces in men with histories of suicide attempts
Jollant, F., Lawrence, N. S., Giampietro, V., Brammer, M. J., Fullana, M. A., Drapier, D., Courtet, P., & Phillips, M. L. (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.07081239 · Cited by 262
A Neurosemantic Theory of Concrete Noun Representation Based on the Underlying Brain Codes
Just, M. A., Cherkassky, V. L., Aryal, S., & Mitchell, T. M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008622 · Cited by 211
GUILT, SHAME, AND SUICIDAL IDEATION IN A MILITARY OUTPATIENT CLINICAL SAMPLE
Bryan, C. J., Morrow, C. E., Etienne, N., & Ray-Sannerud, B. N. (2012) · Depression and Anxiety · doi:10.1002/da.22002 · Cited by 204
Columbia-Suicide Severity Rating Scale
Posner, K. (2016) · PsycTESTS Dataset · doi:10.1037/t52667-000 · Cited by 199
The Internal Struggle Between the Wish to Die and the Wish to Live: A Risk Factor for Suicide
Brown, G. K., Steer, R. A., Henriques, G. R., & Beck, A. T. (2005) · American Journal of Psychiatry · doi:10.1176/appi.ajp.162.10.1977 · Cited by 196
Age Correction in Dementia – Matching to a Healthy Brain
Dukart, J., Schroeter, M. L., Mueller, K., & Initiative, T. A. D. N. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022193 · Cited by 190
Pan, L. A., Hassel, S., Segreti, A. M., Nau, S. A., Brent, D. A., & Phillips, M. L. (2013) · Psychological Medicine · doi:10.1017/s0033291712002966 · Cited by 183
Familial Pathways to Early-Onset Suicide Attempt: A 5.6-Year Prospective Study
Brent, D. A., Melhem, N. M., Oquendo, M., Burke, A., Birmaher, B., Stanley, B., Biernesser, C., Keilp, J., Kolko, D., Ellis, S., et al. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.2141 · Cited by 138
Bakhiyi, C. L., Calati, R., Guillaume, S., & Courtet, P. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.02.019 · Cited by 125
Olié, E., Ding, Y., Le Bars, E., de Champfleur, N. M., Mura, T., Bonafé, A., Courtet, P., & Jollant, F. (2015) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2015.09.020 · Cited by 123
Bresin, K., Carter, D. L., & Gordon, K. H. (2012) · Psychiatry Research · doi:10.1016/j.psychres.2012.09.033 · Cited by 117
Six‐Year Predictors of Problems in a National Sample: IV. Young Adult Signs of Disturbance
Achenbach, T. M., Howell, C. T., McConaughy, S. H., & Stanger, C. (1998) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199807000-00011 · Cited by 107
Developing treatments for impaired cognition in schizophrenia
Minzenberg, M., & Carter, C. S. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.017 · Cited by 106
Just, M. A., Cherkassky, V. L., Buchweitz, A., Keller, T. A., & Mitchell, T. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0113879 · Cited by 93
Cognitive Distortions and Suicide Attempts
Jager‐Hyman, S., Cunningham, A., Wenzel, A. E., Mattei, S. B., Brown, G. K., & Beck, A. T. (2014) · Cognitive Therapy and Research · doi:10.1007/s10608-014-9613-0 · Cited by 75
Rogers, M. L., Rabon, J. K., Hagan, C. R., Hirsch, J. K., & Joiner, T. E. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.09.038 · Cited by 63
What's in a Note: Construction of a Suicide Note Corpus
Pestian, J. P., Matykiewicz, P., & Linn-Gust, M. (2012) · Biomedical Informatics Insights · doi:10.4137/bii.s10213 · Cited by 55
Improved Classification of Alzheimer's Disease Data via Removal of Nuisance Variability
Koikkalainen, J. R., Pölönen, H., Mattila, J., van Gils, M., Soininen, H. S., Lötjönen, J. M. P., & Initiative, A. D. N. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031112 · Cited by 51
Humber, N., Emsley, R., Pratt, D., & Tarrier, N. (2013) · Psychiatry Research · doi:10.1016/j.psychres.2013.02.011 · Cited by 51
Shame, pride, and suicidal ideation in a military clinical sample
Bryan, C. J., Ray-Sannerud, B. N., Morrow, C. E., & Etienne, N. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.11.006 · Cited by 42
Reasons for Attempting Suicide among a Community Sample of Adolescents
Jacobson, C. M., Batejan, K. L., Kleinman, M., & Gould, M. S. (2013) · Suicide and Life-Threatening Behavior · doi:10.1111/sltb.12047 · Cited by 41
Invariance of brain-wave representations of simple visual images and their names
Suppes, P., Han, B., Epelboim, J., & Lu, Z. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.25.14658 · Cited by 35
A Mixed Methods Approach to Identify Cognitive Warning Signs for Suicide Attempts
Adler, A., Bush, A., Barg, F. K., Weissinger, G., Beck, A. T., & Brown, G. K. (2016) · Archives of Suicide Research · doi:10.1080/13811118.2015.1136717 · Cited by 18
(2003) · doi:10.1176/appi.books.9781615377268.lg04 · Cited by 16
Research works printed but not linked: 1
- Beck, A. T., Schuyler, D. & Herman, I. in The Prediction of Suicide (eds Beck, A. T. et al.) 45–56 (Charles Press, Bowie, MD, 1974).
Cited by
Sorted by citations
High-performance medicine: the convergence of human and artificial intelligence
Topol, E. J. (2019) · Nature Medicine · doi:10.1038/s41591-018-0300-7 · Cited by 10,450
The integrated motivational–volitional model of suicidal behaviour
O'Connor, R. C., & Kirtley, O. J. (2018) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2017.0268 · Cited by 1,781
Imaging suicidal thoughts and behaviors: a comprehensive review of 2 decades of neuroimaging studies
Schmaal, L., van Harmelen, A.-L., Chatzi, V., Lippard, E. T. C., Toenders, Y. J., Averill, L. A., Mazure, C. M., & Blumberg, H. P. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0587-x · Cited by 373
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
Ji, S., Pan, S., Li, X., Cambria, E., Long, G., & Huang, Z. H. (2020) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2020.3021467 · Cited by 275
Adolescent Suicide as a Failure of Acute Stress-Response Systems.
Miller, A. B., & Prinstein, M. J. (2019) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050718-095625 · Cited by 235
“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…”
Background
Metadata
- 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
- Venue
- Nature Human Behaviour
- Published
- 2017-10-30
- Volume
- 1
- Issue
- 12
- Pages
- 911-919
- ISSN
- 2397-3374 (ISSN-L)
- 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
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review