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：
Sarah Havens Sperry
金额：
$ 19.66万
依托单位：
UNIVERSITY OF MICHIGAN AT ANN ARBOR
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

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.

投影摘要/摘要双相情感障碍（BD）的个体经历了严重和持续的困难，尤其是当经历强烈的情绪时。基于情绪的冲动与增加有关住院，人际关系，药物使用和自杀。然而，基于情感的机制冲动性尚未充分理解，从而限制了有效干预措施的设计。为此，候选人旨在使用多模式评估来确定实验室中基于情绪冲动的候选机制和日常生活。该K23提案有两个目标：1）描述认知的神经生理指标使用脑电图（EEG）及其与现实世界情绪的冲动的关联通过生态瞬时评估（EMA）测量的日常生活； 2）为候选人提供情感神经科学和实验心理病理学的培训（培训目标1），脑电图方法和分析（训练目标2）和密集的纵向建模（训练目标3），加速BD中的临床翻译研究（培训目标4）。拟议的项目将研究90 整个双极光谱的成年人（30个健康对照，30个亚临床BD和30个诊断BD）从公认的纵向纵向队列中（ n = 1,394）在密歇根大学。参与者将完成基于情绪的冲动的特质衡量，一种情感抑制范式，同时进行脑电图和一个为期28天的EMA协议，以评估瞬时的情感唤醒，情绪调节和冲动。研究的特定目的是：1）确定认知控制的神经生理组成部分那与特质和基于实验室的基于情绪的冲动性，2）评估这些组件与在现实世界中基于情感的冲动。这提出了研究在检查嵌入在脑电图信号中的神经振荡和同步时具有创新性基于情绪的冲动机制，并使用生态瞬间将其与现实行为联系起来评估。它具有重大影响，因为它可以产生新的神经和认知治疗靶标（例如，theta波段活动作为心理社会干预的辅助措施的神经调节），以改善情绪 - 进一步的机械研究后，基于BD的冲动性。候选人得到了一群导师的支持以及翻译临床科学和拟议培训领域的领先专家的顾问：常春藤博士 TSO（主要指导者，脑电图方法和分析），梅尔文·麦金尼斯博士负责任的研究），David Fresco博士（顾问：情感神经科学，情感调节），丹尼尔·麦克尼什（Daniel McNeish）博士（统计顾问：密集纵向建模）， Flavio Frohlich博士（顾问：脑电图时间频率分析） Sheri Johnson博士（顾问：基于情感的冲动）。这个职业发展奖对于推进候选人的独立研究和长期计划至关重要识别和完善BD个性化干预措施的目标。