Modeling bipolar disorder suicidality
Article first published online: 15 JUL 2013
© 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Special Issue: Guest Editors – Frederick Cassidy and Christopher Baethge
Volume 15, Issue 5, pages 559–574, August 2013
How to Cite
Modeling bipolar disorder suicidality. Bipolar Disord 2013: 15: 559–574. © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd., , , , .
- Issue published online: 6 AUG 2013
- Article first published online: 15 JUL 2013
- Manuscript Accepted: 7 FEB 2013
- Manuscript Received: 31 DEC 2012
- NHMRC Program
- bipolar disorder;
- frontolimbic network;
- suicide model
To review the psychosocial, neuropsychological, and neurobiological evidence regarding suicide and bipolar disorder (BD), to enable the development of an integrated model that facilitates understanding, and to provide a useful framework for future research.
A two-stage literature review was conducted. First, an electronic literature search was performed using key words (e.g., bipolar disorder, suicide risk, and neuroimaging) and standard databases (e.g., MEDLINE). Second, theoretical suicide models were reviewed, and their evidence base and relevance to BD were evaluated in order to determine a guiding theoretical framework for contextualizing suicide in BD.
Although accumulating clinical, cognitive, and neurobiological correlates of suicide have been identified in BD, extant research has been largely atheoretical. The Cry of Pain (CoP) and an adapted version of the model, the Schematic Appraisals Model of Suicide (SAMS), provide a useful schema for examining vulnerability to suicide in BD, by taking into account biopsychosocial determinants of suicidality. In combination, these also provide a model within which the neural correlates of suicide can be integrated.
The proposed Bipolar Suicidality Model (BSM) highlights the psychosocial precursors to suicidality in BD, while recognizing the key role of cognitive deficits and underlying functional neurobiological abnormalities. It usefully integrates our knowledge, and provides a novel perspective that is intended to meaningfully inform future research initiatives, and can lead to a better understanding of suicidality in bipolar disorder. Ultimately, it is hoped that it will facilitate the development of targeted interventions that diminish the risk of suicide in bipolar disorder.