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Published on: September 28, 2018
Translating Interventional Neuroscience to Suicide: It's About Time
Jennifer Barredo1, Melanie L Bozzay2, Jennifer M Primack3
1VA RR&D Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, Rhode Island; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island; COBRE Center for Neuromodulation and Neuroimaging, Providence, Rhode Island.
Despite advances in psychiatric care, suicide rates are rising. This study integrates neurobiology and suicide theory, emphasizing temporal risk fluctuations and real-time interventions for better treatment strategies.
Area of Science:
- Neuroscience
- Psychiatry
- Psychology
Background:
- Suicide deaths have increased despite advances in psychiatric and psychological treatments.
- Neuroscience has yielded limited translational interventions for suicidal thoughts and behaviors.
- Limited integration of neurocircuitry models with suicide theory and the variable nature of suicide risk over time are key challenges.
Purpose of the Study:
- To review neurobiological perspectives on ideation-to-action theories of suicide.
- To describe neural correlates of suicide reduction following various interventions.
- To propose novel research designs integrating real-time, biologically based interventions for suicide reduction.
Main Methods:
- Review of contemporary ideation-to-action theories of suicide from a neurobiological perspective.
- Description of neural correlates of suicide reduction from circuit-specific, pharmacological, and psychological interventions.
- Introduction of novel strategies for real-time risk tracking using ecological momentary interventions.
Main Results:
- Valence and executive function circuits are key, modulated by state-induced factors within stressful contexts.
- Neural correlates of suicide reduction are observed with interventions like transcranial magnetic stimulation, ketamine, lithium, and brief cognitive therapy.
- Temporal fluctuations in suicide risk influence treatment efficacy and require consideration.
Conclusions:
- Integrating neurocircuitry models with suicide theory and accounting for temporal risk variability are crucial for developing effective interventions.
- Real-time monitoring and biologically based interventions hold promise for future suicide reduction research.
- Novel research designs are needed to bridge the gap between neuroscience insights and clinical application for suicide prevention.
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