Affective and Cognitive Mechanisms of Emotion-Based Impulsivity in Bipolar Disorder: Linking Neural Oscillatory Dynamics to Real-World Outcomes
双相情感障碍中基于情绪的冲动的情感和认知机制:将神经振荡动力学与现实世界的结果联系起来
基本信息
- 批准号:10735028
- 负责人:
- 金额:$ 19.66万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-08-08 至 2028-07-31
- 项目状态:未结题
- 来源:
- 关键词:AccelerationAdultAffectiveAreaArousalBehaviorBehavioralBipolar DisorderBrainBrain regionClinicalClinical SciencesCognitionCognitiveCognitive TherapyCommunicationComplexCouplingDataDevelopmentDiagnosisDimensionsDiseaseDistalEcological momentary assessmentElectroencephalographyEmotionsEnrollmentEnvironmentEvolutionFrequenciesFunctional Magnetic Resonance ImagingGoalsHospitalizationImpulsivityIndividualInterventionInvestigational TherapiesK-Series Research Career ProgramsLifeLinkLongitudinal cohortMeasurementMeasuresMentorsMethodsMichiganModelingMoodsNational Institute of Mental HealthNeuronsNeurosciences ResearchOutcomeParticipantPatient Self-ReportPersonsPhaseProcessProtocols documentationPsychopathologyReportingResearchResearch Domain CriteriaRoleSamplingSignal TransductionSubstance Use DisorderSuicideTestingTherapeutic TrialsTimeTrainingTranslatingTranslational ResearchUniversitiesWorkaffective neurosciencebipolar spectrumbrain basedcandidate identificationclinical translationcognitive controlcognitive processdesigneffective interventionemotion regulationemotional stimulusexecutive functionexperienceimprovedindexinginnovationmultimodalitynegative affectneuralneurophysiologyneuroregulationnovelpersonalized interventionprogramspsychosocialrecruitresponseresponsible research conductsubstance usetrait
项目摘要
Projective Summary/Abstract
Individuals with bipolar disorder (BD) experience severe and persistent difficulties with impulsivity, especially
when experiencing strong emotions. Emotion-based impulsivity is associated with increased
hospitalizations, lost relationships, substance use, and suicide. Yet, mechanisms underlying emotion-based
impulsivity are not well understood, limiting the design of effective interventions. To this end, the Candidate
aims to use multimodal assessments to identify candidate mechanisms of emotion-based impulsivity in the lab
and daily life. This K23 proposal has two goals: 1) to delineate neurophysiological indicators of cognitive
control using electroencephalogram (EEG) and their association with real-world emotion-based impulsivity in
daily life measured with ecological momentary assessment (EMA); and 2) To provide the Candidate with
training in affective neuroscience and experimental psychopathology (training objective 1), EEG
methods and analysis (training objective 2), and intensive longitudinal modeling (training objective 3),
to accelerate clinical translational research (training objective 4) in BD. The proposed project will study 90
adults across the entire bipolar spectrum (30 healthy controls, 30 subclinical BD, and 30 diagnosed BD) drawn
from the well-established Prechter Longitudinal Cohort (
n = 1,394)
at the University of Michigan. Participants
will complete trait measures of emotion-based impulsivity, an affective inhibition paradigm while undergoing an
EEG, and a 28-day EMA protocol developed to assess momentary affective arousal, emotion regulation, and
impulsivity. The research specific aims are to: 1) Identify neurophysiological components of cognitive control
that
are associated with
trait and lab-based emotion-based impulsivity, and 2) Evaluate the extent to which
these components
are associated with
emotion-based impulsivity in real-world settings. This proposed
research is innovative in examining neural oscillations and synchrony embedded in EEG signals as a
mechanism of emotion-based impulsivity and linking it with real-world behavior using ecological momentary
assessment. It has significant implications because it could yield novel neural and cognitive treatment targets
(e.g., neuromodulation of theta-band activity as an adjunct to psychosocial interventions) to improve emotion-
based impulsivity in BD after further mechanistic studies. The Candidate is supported by a team of mentors
and consultants who are leading experts in translational clinical science and areas of proposed training: Dr. Ivy
Tso (Primary Mentor, EEG methods and analysis), Dr. Melvin McInnis (Co-Mentor, bipolar disorder,
responsible conduct of research), Dr. David Fresco (Consultant: affective neuroscience, emotion regulation),
Dr. Daniel McNeish (Statistical Consultant: intensive longitudinal modeling),
Dr. Flavio Frohlich (Consultant:
EEG time frequency analysis)
and Dr. Sheri Johnson (Consultant: emotion-based impulsivity). This career
development award is critical for advancing the Candidate’s independent program of research and long-term
goal to identify and refine targets for personalized interventions in BD.
投射总结/摘要
双相情感障碍 (BD) 患者会经历严重且持续的冲动困难,尤其是
当经历强烈的情绪时,冲动会增加。
然而,住院治疗、失去人际关系、药物滥用和自杀是基于情绪的机制。
冲动性尚未得到很好的理解,限制了有效干预措施的设计。
旨在使用多模式评估来识别实验室中基于情绪的冲动的候选机制
这个 K23 提案有两个目标:1)描绘认知的神经生理学指标。
使用脑电图(EEG)进行控制及其与现实世界中基于情绪的冲动的关联
通过生态瞬时评估 (EMA) 衡量日常生活;以及 2) 向候选人提供
情感神经科学和实验精神病理学培训(培训目标 1)、脑电图
方法和分析(培训目标 2),以及强化纵向建模(培训目标 3),
加速 BD 的临床转化研究(培训目标 4) 拟议项目将研究 90。
整个双相情感障碍谱系的成年人(30 名健康对照、30 名亚临床双相情感障碍和 30 名诊断双相情感障碍)
来自完善的 Prechter 纵向队列(
n = 1,394)
在密歇根大学。
将完成基于情绪的冲动的特征测量,这是一种情感抑制范式,同时经历
EEG 和 28 天 EMA 协议旨在评估瞬时情感唤醒、情绪调节和
研究的具体目标是:1)识别认知控制的神经生理学组成部分。
那
与
特质和基于实验室的基于情绪的冲动,以及 2) 评估其程度
这些组件
与
这提出了现实世界中基于情绪的冲动。
研究在检查脑电图信号中嵌入的神经振荡和同步性方面具有创新性
基于情绪的冲动机制,并利用生态瞬时将其与现实世界的行为联系起来
它具有重大意义,因为它可以产生新的神经和认知治疗目标。
(例如,作为社会心理干预的辅助手段,对 θ 带活动进行神经调节)以改善情绪
经过进一步的机制研究后,候选人得到了导师团队的支持。
转化临床科学和拟议培训领域的领先专家顾问:Ivy 博士
Tso(主要导师,脑电图方法和分析),Melvin McInnis 博士(共同导师,双相情感障碍,
负责任的研究行为),David Fresco 博士(顾问:情感神经科学、情绪调节),
Daniel McNeish 博士(统计顾问:纵向强化建模),
Flavio Frohlich 博士(顾问:
脑电图时频分析)
和 Sheri Johnson 博士(顾问:基于情绪的冲动)。
发展奖对于推进候选人的独立研究计划和长期发展至关重要
目标是确定和完善 BD 个性化干预的目标。
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)
Beyond traditional metrics: A novel method for measuring mood instability in bipolar disorder.
超越传统指标:一种测量双相情感障碍情绪不稳定的新方法。
- DOI:
- 发表时间:2024-01-24
- 期刊:
- 影响因子:0
- 作者:Sperry, Sarah;Yocum, Anastasia;McInnis, Melvin
- 通讯作者:McInnis, Melvin
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