Cited by 214Suicide and Self-Harm StudiesNeural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on Behavior

The DOI matches its Crossref record; 300 of the 300 references it cites were found in a registry or an index; 9 of the 324 sources its claims cite were checked for support.

A Brain-Centric Model of Suicidal Behavior

Open access
Mann, J. John, Rizk, Mina M.·2020·American Journal of Psychiatry

Abstract

The suicide death toll is alarmingly high, outnumbering deaths from war and homicide worldwide (1). Many factors contribute to suicide death, making it difficult to prevent because it is much more than a response to life stressors. Campaigns to lower U.S. suicide rates by 20% by 2025, and even to zero, confront hard realities such as not knowing why the annual suicide rate in the United States has risen every year since 2000 (2). The concurrent fall in suicide rates worldwide (1) is largely driven by restricting access to one highly lethal suicide method, namely, pesticides, which are commonly used in a few very populous countries, including China, India, and Sri Lanka (3-5). That approach saves lives without addressing the reasons people want to die by suicide. Currently empirically proven suicide prevention methods (Figure 1) include 1) better training of nonpsychiatrist physicians in the diagnosis and treatment of depression, the most common psychiatric disorder associated with suicide (6); 2) better outreach during the highest risk period, after suicidal patients are discharged from hospital or the emergency department (7); and 3) means restriction, focused on the commonest methods in each country (8). To prevent suicide in the short term, we need to scale up the use of these proven methods. To use these methods more effectively, we need to know who is at risk and when the risk is greater. Progress in both domains has stalled. Rehashing older approaches does not improve suicide risk assessment or prevention (9). While universal approaches like training primary care physicians to manage depression and means restriction work (10), for targeted prevention approaches we need to find new risk detection methods. The explosion of new information about the causes of suicidal behavior (11) needs to be built into a

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Mann proposes a brain-centric stress-diathesis model in which suicide risk arises from the interaction of acute stressors with suicide-related traits—subjective distress, altered decision making, neuropsychological deficits, and social distortions—linked to specific neural circuitry, neurotransmitter, stress-response, neurotrophic, and inflammatory abnormalities. The paper argues that suicidal behavior should be considered a distinct mental disorder and that these diathesis-related biological pathways can guide risk detection and prevention.

Key findings

  • The stress-diathesis model identifies four risk-moderating trait domains: excessive subjective distress/attentional bias, altered decision making with impulsive-aggressive tendencies, neuropsychological abnormalities (learning, cognitive rigidity, memory), and social distortions such as thwarted belongingness.
  • Biological correlates include deficient serotonin release: low CSF 5-HIAA predicts suicide risk in depressed individuals with an odds ratio of 4.6; up-regulated serotonin 1A autoreceptors are associated with fatal and nonfatal suicide attempts.
  • Clinical/prevention findings cited include that major depressive episodes account for about 60% of psychiatric diagnoses in suicide decedents, suicide death rate is 300 times higher in the first week and 200 times higher in the first month after inpatient psychiatric discharge versus the general population, and over 80% of suicide attempt survivors do not end up dying by suicide.
  • Around 60% of individuals denying suicidal ideation on weekly self-report reported suicidal thoughts using ecological momentary assessment delivered six times a day over the same 1-week period; a recent review reported 40 genes associated with suicidal behavior independently of psychiatric diagnoses.

Methods

  • Design: conceptual/review article presenting a heuristic brain-centric stress-diathesis model of suicidal behavior; no primary experimental study is reported.
  • Data/sample: synthesis of prior human genetic, epigenetic, neuroimaging, neurotransmitter, stress-response, neurotrophic, inflammatory, clinical, and treatment literature; no new sample or dataset is described.
  • Main analysis: narrative integration of cited findings into a model linking stressors, diathesis traits, neural circuitry, and prevention targets; no systematic review, meta-analysis, or statistical analysis is reported.

Limitations

  • Paper-stated limitations include that passive sensing/phonotype approaches lack replicated data on prediction of suicidal behavior risk; longitudinal studies are needed to determine whether fluctuating suicide risk correlates with inflammation; ketamine has never been tested for preventing suicidal behavior; and rTMS results are preliminary because most studies have small sample sizes and lack control groups.
  • The paper also notes mixed or inconclusive evidence in several domains, including neuroimaging studies of suicidal behavior and ideation disagreeing about details, DTI studies of suicidal ideation being inconclusive, and mixed results for HPA axis abnormalities and suicidal ideation.
  • Evident from the text: as a narrative review/model paper, it does not use a systematic search strategy or quantitative synthesis, and many cited genetic, neuroimaging, and biomarker findings remain unreplicated or heterogeneous.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1176/appi.ajp.2020.20081224

Cites

300 of 300 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

147 Not checked yet · 12 Own interpretation · 3 Partly supported · 2 Supported · 1 Supported so far · accuracy not yet measured

Verify all 315 references — free account

Show all 88 claims

  • It may state two separate claims as one. 71
  • Probably not a substantial claim. 11
77 of 77
  • The paper relies on this without support.

    Very short-term risk factors for suicide are poorly understood compared with distal/trait factors.

    “While many of the distal or trait risk and protective factors for suicide and their underlying biological processes are extensively studied, we know little of the very short-term risk factors.”
  • The paper relies on this without support.

    Suicidal ideation usually precedes and may signal imminent risk of a suicide attempt.

    “Suicidal ideation, which usually precedes and may represent an alarm for imminent risk of a suicide attempt”
  • The paper relies on this without support.

    Inflammation is involved in the development of depression and suicidal behavior.

    “The role of inflammation in the pathogenesis of depression and suicidal behavior suggests use of anti-inflammatory drugs for depressive symptoms and suicidal ideation.”
  • The paper relies on this without support.

    No anti-inflammatory drug has been shown to improve suicidal ideation.

    “None have been shown to improve suicidal ideation”
  • The paper relies on this without support.

    Drugs aimed at HPA axis dysregulation have not been tested for suicide prevention.

    “No drugs targeting HPA axis dysregulation have been evaluated for suicide prevention.”
  • The paper relies on this without support.

    Opioid overdose deaths in the United States have risen sharply over the last twenty years.

    “which has been spiking in the United States over the past two decades.”
  • The paper relies on this without support.

    The stress-diathesis model of suicidal behavior is a valid framework.

    “underlying the stress-diathesis model of suicidal behavior.”
7 of 7

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Citations

Cites

1 retracted

Show all 300 references

Research works printed but not linked: 16

  1. World Health Organization, 2019, World Health Statistics 2019: Monitoring Health for the SDGs
  2. Doupnik SK, JAMA Psychiatry
  3. Astraud LP, Arch Suicide Res
  4. Orbach I, 2003, Isr J Psychiatry Relat Sci, 40, 191
  5. Erlangsen A, Mol Psychiatry
  6. Coon H, Mol Psychiatry
  7. Auerbach RP, Biol Psychiatry
  8. Akhtar Z, 2015, J Indian Acad Appl Psychol, 41, 236
  9. Kumor KM, 1986, J Pharmacol Exp Ther, 238, 960
  10. Wilkowska A, 2019, Psychiatr Danub, 31, 574
  11. Kreitman N, 1976, Br J Prev Soc Med, 30, 86
  12. Sisti D, JAMA Psychiatry
  13. Gratch I, Depress Anxiety
  14. Peters EM, Arch Suicide Res
  15. Oquendo MA, Mol Psychiatry
  16. Schneck N, 2017, Biol Psychiatry Cogn Neurosci Neuroimaging, 2, 421

Cited by

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Metadata

Authors
Mann, J. J., & Rizk, M. M.
Affiliations
Columbia University Irving Medical Center (US)
Venue
American Journal of Psychiatry
Published
2020-10-01
Volume
177
Issue
10
Pages
902-916
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
OpenAlex
W3090935559
Cited by
214
References
300
Citations by year
2026: 36 · 2025: 53 · 2024: 37 · 2023: 35 · 2022: 25 · 2021: 25 · 2020: 3
FWCI
8.81
Type
journal article
Language
en
Open access
Locations
  • American Journal of Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Mental Health (P50MH090964)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
Keywords
suicidal behavior, suicide, brain, neurobiology of suicide, suicide risk
MeSH terms
Brain, Firearms, Humans, Suicide, Suicide, Attempted, United States, Suicidal Ideation

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