Pain, Reward, Attention and Neurocircuitry: Biomarkers of Suicidality

The issue of suicide has continued to puzzle researchers in the field of psychiatry. Edwin Shneidman, a prominent researcher on suicide emphasized "the most evident fact about suicidology and suicidal events is that they are multidimensional…containing concomitant biological, sociological, and psychological (interpersonal and intrapsychic)…elements". Yet, no study to date has attempted to integrate these dimensions when evaluating suicide risk. Considering the presence of a psychiatric illness is a primary predictor of suicide, it is important to develop a unified understanding of risk factors that integrate current clinical and neurobiological findings in this population. Our aim is to: (1) identify an integrated biomarker model to predict risk of suicide attempt in patients with Major Depressive Disorder (MDD) with and without a history of suicide attempt, using neuroimaging, neurocognitive testing and behavioural tasks, and (2) test the stability of this model using a prospective 1 year design.