OBJECTIVES: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
OBJECTIVES: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
Authors: Jonathan P Stange; Jessica L Hamilton; Taylor A Burke; Evan M Kleiman; Jared K O'Garro-Moore; Nicole D Seligman; Lyn Y Abramson; Lauren B Alloy Journal: Psychiatry Res Date: 2015-01-08 Impact factor: 3.222
Authors: Ayal Schaffer; Erkki T Isometsä; Jean-Michel Azorin; Frederick Cassidy; Tina Goldstein; Zoltán Rihmer; Mark Sinyor; Leonardo Tondo; Doris H Moreno; Gustavo Turecki; Catherine Reis; Lars Vedel Kessing; Kyooseob Ha; Abraham Weizman; Annette Beautrais; Yuan-Hwa Chou; Nancy Diazgranados; Anthony J Levitt; Carlos A Zarate; Lakshmi Yatham Journal: Aust N Z J Psychiatry Date: 2015-07-14 Impact factor: 5.744
Authors: Ayal Schaffer; Erkki T Isometsä; Leonardo Tondo; Doris H Moreno; Mark Sinyor; Lars Vedel Kessing; Gustavo Turecki; Abraham Weizman; Jean-Michel Azorin; Kyooseob Ha; Catherine Reis; Frederick Cassidy; Tina Goldstein; Zoltán Rihmer; Annette Beautrais; Yuan-Hwa Chou; Nancy Diazgranados; Anthony J Levitt; Carlos A Zarate; Lakshmi Yatham Journal: Aust N Z J Psychiatry Date: 2015-07-16 Impact factor: 5.744
Authors: Jonathan P Stange; Evan M Kleiman; Louisa G Sylvia; Pedro Vieira da Silva Magalhães; Michael Berk; Andrew A Nierenberg; Thilo Deckersbach Journal: Depress Anxiety Date: 2016-01-12 Impact factor: 6.505
Authors: Jonathan P Stange; Louisa G Sylvia; Pedro Vieira da Silva Magalhães; David J Miklowitz; Michael W Otto; Ellen Frank; Michael Berk; Natasha S Hansen; Darin D Dougherty; Andrew A Nierenberg; Thilo Deckersbach Journal: World Psychiatry Date: 2014-02 Impact factor: 49.548
Authors: Jonathan P Stange; Lisanne M Jenkins; Stephanie Pocius; Kayla Kreutzer; Katie L Bessette; Sophie R DelDonno; Leah R Kling; Runa Bhaumik; Robert C Welsh; John G Keilp; K Luan Phan; Scott A Langenecker Journal: Psychol Med Date: 2019-10-10 Impact factor: 7.723
Authors: Ayal Schaffer; Erkki T Isometsä; Leonardo Tondo; Doris H Moreno; Gustavo Turecki; Catherine Reis; Frederick Cassidy; Mark Sinyor; Jean-Michel Azorin; Lars Vedel Kessing; Kyooseob Ha; Tina Goldstein; Abraham Weizman; Annette Beautrais; Yuan-Hwa Chou; Nancy Diazgranados; Anthony J Levitt; Carlos A Zarate; Zoltán Rihmer; Lakshmi N Yatham Journal: Bipolar Disord Date: 2014-10-20 Impact factor: 6.744
Authors: Anjali Sankar; Kirstin Purves; Lejla Colic; Elizabeth T Cox Lippard; Hun Millard; Siyan Fan; Linda Spencer; Fei Wang; Brian Pittman; R Todd Constable; James J Gross; Hilary P Blumberg Journal: Bipolar Disord Date: 2020-07-21 Impact factor: 6.744