Neurobiology of Affective Instability in Veterans at Low and High Risk for Suicide
低自杀风险和高自杀风险退伍军人情感不稳定的神经生物学
基本信息
- 批准号:10311973
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-04-01 至 2022-03-31
- 项目状态:已结题
- 来源:
- 关键词:AffectAffectiveAmygdaloid structureAttentionBehaviorBehavioralBiologicalBiological FactorsBiological MarkersBiologyBrainClinicClinical assessmentsDataDiagnosticDimensionsDown-RegulationEmotionalEmotionsExhibitsFunctional Magnetic Resonance ImagingFutureGenerationsImpairmentIndividualInterventionLeadLifeLinkLiteratureLongitudinal StudiesMajor Depressive DisorderMeasurementMeasuresMediatingMental disordersMilitary PersonnelNational Institute of Mental HealthNeurobiologyParticipantPathogenesisPathogenicityPathologicPatient Self-ReportPatientsPatternPhenotypePhysiologyPopulationPreventionProcessProxyPsychological FactorsPsychometricsPsychophysiologyPublic HealthRegulationResearchResearch PersonnelRiskRisk FactorsSamplingServicesSuicideSuicide attemptSuicide preventionSymptomsTestingTimeTranslatingVeteransWorkaffective modulation of startlebaseclinical riskcohortcompleted suicidecostdesignemotion regulationemotional reactionendophenotypeexperiencefollow up assessmentfollow-uphabituationhigh riskinterestmind controlmultimodalityneural circuitneuroimagingneuromechanismnovelprevention servicepreventive interventionprospectivepsychosocialreducing suiciderelating to nervous systemresponsesuicidalsuicidal behaviorsuicidal risksuicide attemptertraittwo-dimensional
项目摘要
Recent work demonstrates that veterans exhibit higher suicide risk compared with the general U.S.
population. Despite progress in understanding risk factors for suicidal behavior, the pathogenesis is poorly
understood, including alterations in the neural circuitry underlying affective instability (AI) associated with
suicidal behavior. AI is a trait that cuts across multiple psychiatric disorders in a dimensional manner. Two core
components of AI are emotional reactivity and regulation. In addition to examining brain activity and functional
connectivity in key neural circuitry underlying these two components of AI in veterans at low and high risk for
suicide, this project examines affective startle modulation, a translational, psychophysiological measure
mediated by the amygdala that provides a reliable, low-cost, nonverbal metric of AI components. Progress in
the prevention and prediction of suicidal behavior would be facilitated by the identification of quantitative
measures of AI-related neural activity/connectivity and/or affective startle modulation in response to validated
unpleasant pictures and may serve as dimensional psychophysiological endophenotypes of risk for suicide.
Additionally, we will examine three reliable self-report measures of AI (measuring lability, intensity, and
emotion regulation) which may serve as a dimensional phenotype of suicidal behavior. Examining this
combination of neural circuits, physiology, and behavior in veterans at low (non-suicidal psychiatric controls)
and high risk (suicidal ideators, suicide attempters) for suicide, as well as healthy controls, holds great promise
for understanding the pathogenesis of suicidal behavior, and identifying targets that may ultimately provide
novel treatment intervention to reverse such pathogenic processes.
The proposed longitudinal study will focus on AI as a critical dimension that is directly associated with risk
for suicide and identify the neural-circuitry disturbances that underlie emotion processing abnormalities in
veterans at low and high risk for suicide. To do so, we will characterize a sample of 144 veterans, 36 in each of
the four groups. All participants will receive rigorous diagnostic and clinical assessments (including several
well-validated measures of AI and suicide risk), and undergo 3T functional MRI and affective startle modulation
measurement while they perform passive emotion-processing/reactivity and active emotion-regulation tasks. At
6-month follow-up, all participants will repeat the startle assessment in order to examine test-retest reliability.
Clinical assessment follow-up will be done at 6- and 12-months in the three patient groups. The project aims to
identify behavioral, neurobiological, and psychophysiological features underlying suicidal behavior in veterans
and determine whether baseline psychophysiological measures predict suicidal behavior at 12-month follow-
up. Impact: Our prospective, multi-modal design promises to help uncover the mechanisms by which biological
and psychological factors give rise to suicidal behavior. The proposed research may aid in prospectively
identifying veterans at greatest risk for suicidal behavior.
最近的研究表明,与普通美国人相比,退伍军人表现出更高的自杀风险
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Drs Goodman and Hazlett Reply.
古德曼博士和黑兹利特博士答复。
- DOI:10.4088/jcp.16lr11394a
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Goodman,Marianne;Hazlett,ErinA
- 通讯作者:Hazlett,ErinA
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
ERIN A. HAZLETT其他文献
ERIN A. HAZLETT的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('ERIN A. HAZLETT', 18)}}的其他基金
A Novel Cognitive Remediation Intervention Targeting Poor Decision-Making and Depression in Veterans at High Risk for Suicide: A Safe,Telehealth Approach During the COVID-19 Pandemic
针对自杀高风险退伍军人的决策失误和抑郁症的新型认知补救干预措施:COVID-19 大流行期间的安全远程医疗方法
- 批准号:
10366431 - 财政年份:2022
- 资助金额:
-- - 项目类别:
A Novel Cognitive Remediation Intervention Targeting Poor Decision-Making and Depression in Veterans at High Risk for Suicide: A Safe,Telehealth Approach During the COVID-19 Pandemic
针对自杀高风险退伍军人的决策失误和抑郁症的新型认知补救干预措施:COVID-19 大流行期间的安全远程医疗方法
- 批准号:
10539275 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Longitudinal neuroimaging and neurocognitive assessment of risk and protective factors across the schizophrenia spectrum
精神分裂症谱系风险和保护因素的纵向神经影像和神经认知评估
- 批准号:
10542376 - 财政年份:2020
- 资助金额:
-- - 项目类别:
Longitudinal neuroimaging and neurocognitive assessment of risk and protective factors across the schizophrenia spectrum
精神分裂症谱系风险和保护因素的纵向神经影像和神经认知评估
- 批准号:
10381940 - 财政年份:2020
- 资助金额:
-- - 项目类别:
Longitudinal neuroimaging and neurocognitive assessment of risk and protective factors across the schizophrenia spectrum
精神分裂症谱系风险和保护因素的纵向神经影像和神经认知评估
- 批准号:
10319171 - 财政年份:2020
- 资助金额:
-- - 项目类别:
相似海外基金
Affective Computing Models: from Facial Expression to Mind-Reading
情感计算模型:从面部表情到读心术
- 批准号:
EP/Y03726X/1 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Research Grant
Early Life Antecedents Predicting Adult Daily Affective Reactivity to Stress
早期生活经历预测成人对压力的日常情感反应
- 批准号:
2336167 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Standard Grant
RAPID: Affective Mechanisms of Adjustment in Diverse Emerging Adult Student Communities Before, During, and Beyond the COVID-19 Pandemic
RAPID:COVID-19 大流行之前、期间和之后不同新兴成人学生社区的情感调整机制
- 批准号:
2402691 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Standard Grant
Affective Computing Models: from Facial Expression to Mind-Reading ("ACMod")
情感计算模型:从面部表情到读心术(“ACMod”)
- 批准号:
EP/Z000025/1 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Research Grant
Interface: Transplants, Aesthetics and Technology (Previously About Face: The affective and cultural history of face transplants)
界面:移植、美学和技术(之前关于面部:面部移植的情感和文化历史)
- 批准号:
MR/Y011627/1 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Fellowship
Individual differences in affective processing and implications for animal welfare: a reaction norm approach
情感处理的个体差异及其对动物福利的影响:反应规范方法
- 批准号:
BB/X014673/1 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Research Grant
Tracing the brain mechanisms of affective touch.
追踪情感触摸的大脑机制。
- 批准号:
23K19678 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Research Activity Start-up
Affective and Immaterial Labour in Latin(x) American Culture
拉丁美洲文化中的情感和非物质劳动
- 批准号:
AH/V015834/2 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Fellowship
Imagination under Racial Capitalism: the Affective Salience of Racialised and Gendered Tropes of 'Black excellence'
种族资本主义下的想象力:“黑人卓越”的种族化和性别化比喻的情感显着性
- 批准号:
2889627 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Studentship
Home/bodies: Exploring the affective experiences of people at home using scenographic practice and ecological thinking
家/身体:利用场景实践和生态思维探索人们在家中的情感体验
- 批准号:
2888014 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Studentship