Related Experiment Video
Updated: Aug 6, 2026

Biomarkers in an Animal Model for Revealing Neural, Hematologic, and Behavioral Correlates of PTSD
Published on: October 10, 2012
Data set of neurocognitive markers for short-term risk for suicidal behavior in high-risk Veterans
Jake T Smolinsky1, Neha Gardilla1, Alejandro Interian2,3
1Research and Development Service, VA New Jersey Health Care System, 385 Tremont Avenue, Mail Stop 15A, East Orange, NJ, 07018-1023 United States.
Abstract:
Data were collected prospectively from 60 Veterans at risk for suicide at multiple time points over a one year period to identify predictors of suicidal events in the next 90 days. This outcome included suicide attempts, interrupted/aborted attempts, preparatory behaviors, or suicide-related hospitalizations. Entry criteria included prior year suicidal behavior or prior week severe suicidal ideation. At each time point, participants completed neurocognitive testing and self-report measures of suicidality, and reported suicide-related events since the previous time point. Available data include suicide-related outcomes, question-level data for clinical interviews and self-report measures (including assessments of suicidal thoughts and behaviors, suicidal ideation severity, as well as the Beck Depression Inventory-II (BDI-II), Beck Hopelessness Scale (BHS), Holmes-Rahe Stress Inventory, Automatic Thoughts Questionnaire (ATQ-30), and Acquired Capacity for Suicide Scale (ACSS)), and trial-level data for neurocognitive testing (including go-no/go task, a reward- and punishment-based learning task, death/suicide version of the Implicit Association Task, a memory recognition test), as well as latent cognitive variables extracted from computational modeling of the neurocognitive tests. This data may be used in secondary analyses for identification of predictors of multiple suicide-related outcomes over different time frames.
