Suicide Risk Interventions

The suicide rate among active duty service members and Veterans increased substantially following the onset of post-9/11 conflicts in Iraq and Afghanistan. Accordingly, Veteran suicide prevention has been identified as a national healthcare and research priority. Psychosocial interventions for suicide risk vary substantially in dose and resource allocation. Single-session interventions (e.g., Enhanced Crisis Response Plans [ECRP]) has been shown to reduce risk for future suicide attempts. Other interventions consisting of 10-12 outpatient sessions following inpatient discharge (e.g., Brief Cognitive Behavioral Therapy for suicide prevention [BCBT]) have been shown to reduce suicide attempts by 50-60% relative to treatment as usual. Although both forms of intervention have been shown to reduce risk, interventions that vary in dose and resource allocation have yet to be directly compared, leaving two critical gaps in the ability to intervene most effectively. First, the assumption that more time- and resource-intensive 10-12 session interventions translate to greater suicide risk reduction has yet to be demonstrated. Second, it may be that less resource intensive interventions are adequate for some individuals whereas others require more intensive care.

Pharmacological and brain stimulation interventions for suicide risk are extremely limited. This is due, in part, to an incomplete understanding of the neurobiological mechanisms of suicide risk. Although numerous studies have examined cross-sectional neuroimaging correlates of current suicide ideation or compared individuals with and without history of a suicide attempt, to date no studies have examined a) neurobiological predictors of future suicide attempts in high-risk samples, b) how changes in neurobiological markers over time relate to changes in suicide risk, or c) theoretically and mechanistically relevant neuroimaging procedures in a prospective design. Cross-sectional research examining neuroimaging markers of past or current self-injurious thoughts and behaviors (SITBs) has identified dysfunction in cognitive control networks (CCN) regions associated with emotion regulation, inhibitory control, and decision-making. On the other hand, dysfunction has also been observed in regions associated with negative affect and rumination such as limbic (LN) and default mode (DMN) networks. Despite these findings, identification of neuroimaging predictors of future suicide attempts, and neural markers of successful suicide risk intervention outcomes represents a completely novel, critical step to guiding optimal targeting of neurobiological interventions and translating these findings into practice. Whether these potential neuroimaging predictors are identifiable during resting state, or whether more suicide-relevant cognitive tasks are required, remains an open yet critical question.

The purpose of the investigators' proposed study is to compare two evidence-based suicide risk interventions that vary in dose in order to a) directly test if a more intensive intervention produces greater risk reduction, b) identify Veterans for whom a more intensive intervention is indicated, and c) identify resting-state and task-based neurobiological markers of future suicide attempts and examine how changes in these markers relate to changes in suicide risk over time. The investigators will recruit and evenly randomize 136 male and female Veterans hospitalized for suicide risk to ECRP or BCBT. The investigators will collect neuroimaging data immediately upon discharge, post-treatment, and 12-months post-discharge and assess SITBs out to 12-months post-discharge.

Inclusion criteria

• hospitalization for a recent suicidal crisis consisting of SI with intent to die within the past week and/or a suicide attempt within the past month
• Veteran status
• ability to speak English
• ability to complete the informed consent process
• willingness/ability to attend 12 outpatient treatment sessions and 3 fMRI sessions following hospital discharge

Exclusion criteria

• significant cognitive impairment
• current psychotic or manic features