Integrating Peripheral and Neural Measures of Emotion Regulation in Suicidal Behavior

整合自杀行为中情绪调节的外周和神经测量

• 批准号: 10537423
• 负责人: Sarah Herzog
• 金额: $ 6.72万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-15 至 2025-09-14
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10537423
• 关键词: Affect; Affective; Anterior; Attention; Behavior; Blood; Brain; Cardiac; Cardiovascular system; Cause of Death; Clinical; Cognitive; Cues; Data; Decision Making; Depressed mood; Development; Distress; Down-Regulation; Electrocardiogram; Emotional; Emotional Disturbance; Emotions; Exhibits; Functional Magnetic Resonance Imaging; Generations; Goals; Impairment; Individual; Intervention; Major Depressive Disorder; Measures; Mediating; Memory; Mental Depression; Pattern; Perception; Peripheral; Physiological; Play; Population; Prefrontal Cortex; Prevention; Recording of previous events; Research; Research Design; Risk; Role; Route; Series; Services; Signal Transduction; Stimulus; Structure; Suicide; Suicide prevention; System; Technology; Time; Uncertainty; United States; Vagus nerve structure; Violence; cingulate cortex; emotion dysregulation; emotion regulation; emotional functioning; emotional stimulus; experience; heart rate variability; heart rhythm; indexing; innovation; neural circuit; neural network; neuroimaging; preventive intervention; relating to nervous system; response; suicidal; suicidal behavior; suicidal risk; suicide attempter; suicide rate; training opportunity

Project Summary/Abstract Suicide is a leading cause of death in the United States. Recent neuroimaging studies have identified alterations in neural networks involved in emotion regulation in suicidal populations, and such research may be important to informing clinical interventions. Still, it remains unclear how these alterations uniquely contribute to suicidal behavior. Integrating peripheral autonomic measures of emotion with neuroimaging (fMRI) may help further delineate mechanisms of emotion dysregulation that increase risk for suicide. Autonomic cardiac reactivity plays a critical role in the formation and subjective experience of emotion. Altered autonomic responses to risky decisions are implicated in maladaptive emotional responding and behavior, and evidence suggests that deficits in perception of autonomic cues contribute to acquired capability for suicide. However, peripheral measures of emotion are rarely studied in conjunction with fMRI in suicidal populations. The current study aims to integrate fMRI with heart rate variability (HRV), a peripheral index of parasympathetically-mediated vagal control of the cardiac rhythm that facilitates adaptive emotional responding. Specifically, we aim to 1) examine alterations in autonomic reactivity to emotion in suicide attempters, 2) investigate how synchrony between HRV and fMRI connectivity is related to emotion regulation, and 3) compare HRV—fMRI synchrony and emotion regulation in suicide attempters relative to depressed non-attempters and controls. We hypothesize that asynchrony in the dynamic coordination of autonomic and neural responding underlies emotion regulation deficits in suicide attempters. We expect that suicide attempters will demonstrate blunted HRV, less synchrony between HRV and functional connectivity, and less effective emotion regulation, relative to depressed non-attempters and controls. To accomplish these aims, we will simultaneously acquire electrocardiogram (ECG) data and fMRI in the context of an emotion regulation task. ECG will be used to derive a time series of HRV. Cross-correlational analyses will be used to assess synchrony between HRV and functional neural connectivity of ventromedial prefrontal cortex and limbic networks (regions involved in emotion regulation), and how these systems interact to impact emotional functioning. Key innovations include: 1) integration of fMRI with autonomic indices of emotion to 2) examine alterations in temporal dynamics of emotional responding across multiple physiological systems in 3) suicide attempters. Our long-term goal is to better understand body-brain emotion states that contribute to suicidal behavior, in service of ultimately informing prevention and intervention efforts for suicide.

项目总结/摘要 自杀是美国的主要死亡原因。最近的神经影像学研究 在自杀人群中发现了涉及情绪调节的神经网络的改变， 研究对于指导临床干预可能很重要。然而，目前尚不清楚这些 改变是导致自杀行为的独特因素。整合外周自主神经测量 情绪与神经成像（fMRI）可能有助于进一步阐明情绪失调的机制 会增加自杀的风险自主心脏反应性在形成和 情感的主观体验。对风险决策的自主反应改变与以下因素有关： 适应不良的情绪反应和行为，有证据表明，在感知的赤字， 自主神经暗示有助于获得自杀能力。然而，情感的外围测量 在自杀人群中很少与功能磁共振成像结合研究。本研究旨在整合 心率变异性（HRV）的fMRI，副交感神经介导的迷走神经控制的外周指标 促进适应性情绪反应的心脏节律。具体而言，我们的目标是：1）检查 自杀者对情绪的自主反应的改变，2）研究如何同步 HRV和fMRI之间的连接与情绪调节有关，3）比较HRV-fMRI 自杀者相对于抑郁非自杀者的同步性和情绪调节， 对照我们假设，在自主神经和神经系统的动态协调中， 反应是自杀者情绪调节缺陷的基础。我们认为自杀 心率变异性和功能连接之间的同步性较差， 而情绪调节的效率较低。完成 为了实现这些目标，我们将同时采集心电图（ECG）数据和功能磁共振成像， 情绪调节任务ECG将用于推导HRV的时间序列。交叉相关分析 将用于评估HRV和腹内侧核功能神经连接之间的同步性 前额叶皮层和边缘网络（涉及情绪调节的区域），以及这些系统如何 影响情绪功能。主要创新包括：1）整合功能磁共振成像与自主神经 2）检查情绪反应的时间动态变化， 自杀者的多种生理系统。我们的长期目标是更好地了解 导致自杀行为的身体-大脑情绪状态，最终提供信息， 预防和干预自杀。