ArticleNature human behaviour2017
Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth.
Article in Nature human behaviour, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 77 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
77 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A Systematic Review of Neuromodulation Treatment Effects on Suicidality.Frontiers in human neuroscience · 2021Pooled it
- Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations.International journal of environmental research and public health · 2020Pooled it
- Neural Representations of Death-Related Concepts Identify Conceptual Alteration of Self in Suicidal Youth.Human brain mapping · 2026Article
- Applications of Artificial Intelligence in Psychiatry and Psychology Education: Scoping Review.JMIR medical education · 2025Article
- Inferring Mental States from Brain Data: Ethico-legal Questions about Social Uses of Brain Data.The Hastings Center report · 2025Article
- Reverse phase protein array-based investigation of mitochondrial genes reveals alteration of glutaminolysis in the parahippocampal cortex of people who died by suicide.Translational psychiatry · 2024Article
- Investigating machine learning and natural language processing techniques applied for detecting eating disorders: a systematic literature review.Frontiers in psychiatry · 2024Review
- Exploring telediagnostic procedures in child neuropsychiatry: addressing ADHD diagnosis and autism symptoms through supervised machine learning.European child & adolescent psychiatry · 2024Article
- Connectomics-based resting-state functional network alterations predict suicidality in major depressive disorder.Translational psychiatry · 2023Article
- Aberrant connectivity in the right amygdala and right middle temporal gyrus before and after a suicide attempt: Examining markers of suicide risk.Journal of affective disorders · 2023Article
- Overfitting to 'predict' suicidal ideation.Nature human behaviour · 2023Article
- Prediction of suicidality in bipolar disorder using variability of intrinsic brain activity and machine learning.Human brain mapping · 2023Article
- Modeling Suicidality with Multimodal Impulsivity Characterization in Participants with Mental Health Disorder.Behavioural neurology · 2023Article
- Abnormal attentional bias in individuals with suicidal ideation during an emotional Stroop task: an event-related potential study.Frontiers in psychiatry · 2023Article
- Neuroimaging alterations of the suicidal brain and its relevance to practice: an updated review of MRI studies.Frontiers in psychiatry · 2023Review
- Spontaneous transient states of fronto-temporal and default-mode networks altered by suicide attempt in major depressive disorder.European archives of psychiatry and clinical neuroscience · 2022Article
- Using machine-learning strategies to solve psychometric problems.Scientific reports · 2022Article
- Similarities and differences in the neural representations of abstract concepts across English and Mandarin.Human brain mapping · 2022Article
- Classification of suicidal thoughts and behaviour in children: results from penalised logistic regression analyses in the Adolescent Brain Cognitive Development study.The British journal of psychiatry : the journal of mental science · 2022Article
- Identifying long-term and imminent suicide predictors in a general population and a clinical sample with machine learning.BMC psychiatry · 2022Article
17 more citing papers are in PubMed but not listed here.
Corrections and comments
- Retraction · 2023-04-06Error in Methods · Error in Results and/or Conclusions · · see also: https://www.nature.com/articles/s41562-023-01560-6 and https://www.nature.com/articles/s41562-021-01085-w
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Authors and funding
7 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.