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2020 Linked Standard Research Grant

The choice of a violent suicidal means: a MRI study with computational modeling of decision-making

1 research finding from this AFSP-funded study.

Research finding · February 2026

Differences in brain-based decision-making and impulse control can shape suicide risk

When we think about suicide risk, we often focus on emotional pain, depression, or moments of acute crisis. But another important part of the picture involves how people make decisions under stress. A growing body of research shows that some individuals who attempt suicide have persistent difficulties weighing long-term consequences, learning from past experiences, and inhibiting impulsive responses, even outside of crisis periods. These challenges are not about poor judgment or character. Rather, they reflect differences in how the brain integrates emotion, reward, and self-control, particularly when emotions run high. Understanding these cognitive vulnerabilities helps explain why suicide risk can persist over time and why moments of distress may escalate more quickly for some people than for others.

With support from their linked AFSP-funded grant, Dr. Gerd Wagner and Dr. Fabrice Jollant examined brain connectivity in 48 adults with a history of suicide attempts, comparing them with psychiatric patient comparison group who had depression but no history of attempts, and non-psychiatric controls. Using advanced brain imaging, the team focused on brain pathways that support decision-making and inhibition, especially connections linking reward-related and behavioral control-related brain regions. People with a history of suicide attempts showed distinct differences in these pathways, particularly in circuits involved in evaluating situational risk and future outcomes. These structural differences were related to performance on a decision-making task that measures the ability to learn from consequences over time. Individuals who had used more violent suicide methods showed more pronounced differences in the same pathways, suggesting that different patterns of suicidal behavior may be associated with different levels of cognitive vulnerability. Importantly, the researchers do not suggest that brain differences alone cause suicidal behavior. Instead, they suggest that enduring differences in decision-making and inhibitory systems may interact with emotional distress, making it harder to pause, reassess, or choose safer alternatives during moments of crisis. These findings underscore the value of prevention and treatment approaches that address not only emotional suffering, but also decision-making processes and impulse control as part of comprehensive suicide prevention efforts.

Citation: Gerd Wagner, Ani Zerekidze, Meng Li et al. White Matter Microstructural Alterations and their Association with Decision-Making Deficits in Suicide Attempters, 31 December 2025, PREPRINT (Version 1) available at Research Square https://doi.org/10.21203/rs.3.rs-8194143/v1

This finding comes from an AFSP-funded study — see the grant below ↓

The grant behind this work · 2020 Linked Standard Research Grant

The choice of a violent suicidal means: a MRI study with computational modeling of decision-making

Gerd Wagner, PhD

Gerd Wagner, Ph.D.

Jena University Hospital (Germany)

Fabrice Jollant, MD, PhD

Fabrice Jollant, M.D., Ph.D.

University of Paris (France)

Amount awarded
$299,980
Focus area
Neurobiological

Inside the Research

People who attempt suicide using a violent means are at very high risk for future suicide death. Individuals who have attempted suicide using a violent means may show particular brain and cognition characteristics - notably more risky decision-making and lesser cognitive control - that may contribute to increased suicide risk. Using brain imaging and advanced statistical analyses, these neurocognitive factors will be explored. Findings can inform treatments focused on improving cognitive function to prevent suicide.

Full scientific abstract

Suicidal behaviors remain mysterious acts. Fifty years of research have largely focused on a few socio-demographic and clinical risk factors that dramatically lack predictive power. Understanding these complex acts, in order to develop novel and individualized preventative strategies, will necessitate the use of alternative investigation tools and explicative models. 

Over the last two decades, neuroimaging and neuropsychology have shed new lights on determinants of suicide vulnerability. Our group and others have notably identified risky decision-making as a major mechanism in suicidal behavior, notably in the transition from suicidal ideas to acts. Neuroimaging studies have mainly linked decision-making deficits to specific brain regions, especially the ventral and dorsal prefrontal cortices and the striatum (a set of deep subcortical brain structures).

Deficits in decision-making have been found to be more marked in suicide attempters who used a violent suicidal means (VSA), broadly defined as any suicidal act other than drug overdose and superficial cutting. Use of a violent suicidal means is associated with an increased risk of current or future death. Studies notably revealed a particular clinical and biological profile associated with VSA, including more impulsive-aggression traits and serotonergic deficits. Recently, the two groups applying to this grant reported that, while there was no overall group difference in local brain volumes between suicide attempters and patient controls, VSA differed from non-VSA in striatum volumes. In light of the heterogeneity of suicidal behavior, investigating specific subgroups of individuals with similar characteristics, such as VSA, may be a profitable strategy to elucidate more consistent alteration patterns in suicide behavior.

The general aim of the projected study will be to use cognitive neuroscience to investigate the cognitive and brain basis of violent suicidal behavior. Based on recent findings and models of decision-making, we hypothesize that VSA in comparison to non-VSA are characterized by a series of dysfunctional cognitive and physiological processes facilitating the suicidal transition. This includes high expected outcomes, high pain tolerance, low loss aversion, and low inhibition in an aversive context, in relation to structural and functional alterations in prefrontal-striatal networks.

To this aim, we will recruit from two European sites and compare 40 patients with a history of violent suicidal act, 40 patients with a personal history of only non-violent suicidal act, 40 patients with no personal or family history of suicidal behavior, and 40 healthy controls. Participants will be 25 to 60 year old males and females. They will be investigated at the clinical and neuropsychological levels, then will be scanned with 3T MRI scans using a combination of high-definition structural and functional sequences. These acquisitions will allow investigating alterations in structural and functional connectivity in the prefrontal-striatal networks. Analyses (computational modeling) will be applied to functional data to extract specific abnormal processes in VSA. Secondary analyses will link these brain alterations to selected peripheral measures of the serotonergic system. Finally, we will apply current classification approaches to identify that set of assessed multimodal measures, which best differentiate between attempters from non-attempters in general and VSA from non-VSA in particular. 

Future research direction will comprise the use of these findings to develop targeted cognitive treatments.

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