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Research / Funded grants

2020 Postdoctoral Fellowship

Imaging of the suicidal brain in schizophrenia

1 research finding from this AFSP-funded study.

Research finding · July 2024

Accelerated biological aging may be linked to suicide risk in people with schizophrenia

Schizophrenia is a psychiatric disorder that has been associated with risk for suicidal thoughts and behaviors. One hypothesis about what could contribute to this risk, called the “accelerated age hypothesis,” theorizes that several clinical features typically associated with older age that are experienced by individuals with schizophrenia (e.g., increased risk of cognitive impairment, inflammation, oxidative stress, and reduction of telomere length in blood cells) may play a part in increasing risk for suicidal thoughts and behaviors.

With this in mind, Dr. Ali Bani-Fatemi and his team examined DNA from blood samples of adults with schizophrenia who had a history of suicide attempts, as well as of a separate group of adults with schizophrenia with no history of suicide attempts. Dr. Bani-Fatemi found that those who had attempted suicide showed signs of being 10.7 years older biologically (i.e., in their cells) than chronologically (i.e., their age in years). This accelerated aging was evident in both males and females, with males showing slightly more pronounced differences. The findings suggest that the stress and severity of schizophrenia might accelerate aging, increasing suicide risk. Measuring biological age could help identify increased risk for suicide in individuals with schizophrenia who may benefit from specifically tailored treatments that take biological aging into account.

Citation: Jeremian, R., Bani-Fatemi, A., Strauss, J. S., Tasmim, S., Dada, O., Graff-Guerrero, A., Gerretsen, P., & De Luca, V. (2022). Investigation of accelerated epigenetic aging in individuals suffering from schizophrenia in the context of lifetime suicide attempt. Schizophrenia research, 243, 222–224. https://doi.org/10.1016/j.schres.2019.05.023

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

The grant behind this work · 2020 Postdoctoral Fellowship

Imaging of the suicidal brain in schizophrenia

Ali Bani-Fatemi, PhD

Ali Bani-Fatemi, Ph.D.

Centre for Addiction and Mental Health (Canada)

Mentor: Ariel Graff, M.D., Ph.D., Centre for Addiction and Mental Health (Canada)

Amount awarded
$112,000
Focus area
Neurobiological

Inside the Research

Brain imaging is a non-invasive way to directly estimate the brain’s structure and functioning. Analyzing brain structure in patients with schizophrenia at either very high risk or very low risk for suicide can provide information to understand suicide risk better. Identifying biological features and mechanisms that influence suicidal ideation and behavior in people with schizophrenia is critical for saving lives of those affected with schizophrenia.

Full scientific abstract

Brain imaging is a non-invasive and direct in vivo estimation of the detailed structure, functioning and molecular processes of the brain. The main objective of this study is to analyze structural differences between individuals at very high risk for suicide and individuals at very low risk for suicide. To this end, we will recruit two groups of patients, assessing structural alterations of the brains of individuals with suicide attempt (SA) and without SA respectively. We will perform structural neuroimaging techniques assessing only individuals with schizophrenia (SCZ). We have created a database at Centre for Addiction and Mental Health (CAMH) for 650 patients with SCZ well-characterized for SA and suicidal ideation (SI). From this database, we will select two groups of patients: one group at very high risk for suicide consisting of 20 patients with multiple SA (at least two lifetime) characterized by high medical damage (lethality), and another group at very low risk for suicide consisting of 20 patients with no SA lifetime, who never experienced suicidal ideation (SI) lifetime and have no family history of suicidal behavior. This is the first imaging study that will investigate the difference between high lethality violent suicide attempters and non-suicidal ideators in the SCZ population. Identifying imaging biomarkers and mechanisms that modulate SA and SI in SCZ may enhance our understanding of the pathways resulting in suicide.

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