Spatiotemporal dynamics of the human emotion network

人类情感网络的时空动态

• 批准号: 10295661
• 负责人: Edward Chang
• 金额: $ 67.81万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-10 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10295661
• 关键词: Address; Adult; Affect; Affective; Affective Symptoms; Age; Anatomic Models; Anatomy; Animal Model; Anterior; Anxiety; Autonomic nervous system; Behavior; Behavioral; Biological Models; Biology; Brain; Color; Consensus; Coupled; Development; Dorsal; Electric Stimulation; Electrodes; Electroencephalography; Emotional; Emotions; Epilepsy; Facial Expression; Frequencies; Functional disorder; Generations; Goals; Grain; Hospitalization; Human; Individual; Insula of Reil; Intractable Epilepsy; Investigation; Lateral; Length of Stay; Maps; Measures; Mental Depression; Methods; Modeling; Monitor; Moods; Neurobiology; Neurons; Operative Surgical Procedures; Participant; Patients; Pattern; Personal Satisfaction; Plant Roots; Play; Population; Property; Resolution; Role; Seizures; Standardization; Stimulus; Structure; System; Testing; Video Recording; Work; base; cingulate cortex; daily functioning; depressive symptoms; emotion regulation; emotional reaction; experience; flexibility; functional electrical stimulation; improved; innovation; interdisciplinary approach; millisecond; mortality; multimodality; negative affect; network dysfunction; neuroimaging; neuropsychiatric disorder; novel; positive emotional state; relating to nervous system; response; spatiotemporal; specific biomarkers; success; support network; symptom treatment; treatment response

ABSTRACT Affective symptoms are a common feature of neuropsychiatric disorders that reflect dysfunction in a distributed brain network that supports emotion. How aberrant functioning in a single emotion network underlies a wide range of affective symptoms, such as depression and anxiety, is not well understood. Anchored by the anterior cingulate cortex and ventral anterior insula, the emotion network responds to numerous affective stimuli. A more sophisticated understanding of how the emotion network produces emotions—and how atypical emotion network functioning relates to affective symptoms—will be critical for advancing current neuroanatomical models of neuropsychiatric disorders. Intracranial electroencephalography (iEEG) provides direct estimates of neuronal populations and can be used to map the spatiotemporal dynamics of the emotion network at a millisecond-level resolution. Although functional neuroimaging studies have uncovered little evidence for neural differentiation among emotions, these studies lack the spatiotemporal and spectral resolution to determine whether emotions are characterized by unique neural signatures. The overall goals of the proposed project are to elucidate how emotion network dynamics relate to the behavioral, autonomic, and experiential changes that accompany emotions and to investigate how emotion network dysfunction relates to affective symptoms. Anatomically- specific biomarkers of emotion network dysfunction could be used to guide development of novel treatments, monitor symptoms and treatment response, and improve animal models of affective symptoms. We will study 100 patients with intractable epilepsy undergoing surgery for seizure localization. Subjects with iEEG electrodes within the emotion network will undergo continuous neural and video recordings during a multi-day hospital stay. Naturalistic affective behaviors that subjects display spontaneously throughout their hospitalization, emotional reactivity in response to standardized affective stimuli, and emotional reactions following electrical stimulation of emotion network hubs will be quantified. We will examine how activity within emotion network hubs changes during emotions and how emotion network properties make some individuals more vulnerable to affective symptoms than others. We will address three key aims. In Aim 1, we will determine how emotion network activity relates to naturalistic affective behaviors. In Aim 2, we will uncover the unique neural signatures of discrete emotions and their relations to task-based measures of emotional reactivity. In Aim 3, we will probe whether electrical stimulation of emotion network hubs changes network activity and alters emotions, mood, and anxiety. By utilizing a multidisciplinary approach, the proposed project has the potential to ask novel questions about the neural origins of emotions and to advance current models of the neurobiological basis of emotions and affective symptoms.

摘要 情感性症状是神经精神障碍的一个共同特征，它反映了一种广泛性的功能障碍。 支持情绪的大脑网络。单一情绪网络中的异常功能是广泛的 一系列的情感症状，如抑郁和焦虑，还没有被很好地理解。由前部锚定 在扣带回皮质和腹侧前岛，情绪网络对众多情感刺激做出反应。A更多 对情绪网络如何产生情绪以及非典型情绪网络是如何产生情绪的复杂理解 功能与情感症状有关-将是推进当前神经解剖学模型的关键 神经精神障碍。颅内脑电(IEEG)提供了对神经元的直接评估 并且可以用来在毫秒级别上映射情绪网络的时空动态 决议。尽管功能神经成像研究几乎没有发现神经分化的证据 在情绪中，这些研究缺乏时空和光谱分辨率来确定情绪是否 以独特的神经特征为特征。拟议项目的总体目标是阐明如何 情绪网络动力学与伴随而来的行为、自主神经和经验变化有关 并调查情绪网络功能障碍与情感症状之间的关系。从解剖学上讲- 情绪网络功能障碍的特定生物标志物可以用来指导新疗法的开发， 监测症状和治疗反应，改进情感性症状动物模型。我们会研究 100例顽固性癫痫患者的癫痫定位手术。使用iEEG电极的受试者 在多天的住院期间，情感网络中的患者将接受连续的神经和视频记录。 受试者在住院期间自发表现的自然主义情感行为，情绪化 对标准化情感刺激的反应，以及电刺激后的情绪反应 情感网络枢纽将被量化。我们将研究情感网络中心内的活动如何变化 以及情绪网络的特性如何使一些个体更容易受到情感的影响 症状比其他人更多。我们将解决三个主要目标。在目标1中，我们将确定情绪网络活动如何 与自然主义的情感行为有关。在目标2中，我们将揭示离散神经网络的独特特征 情绪及其与基于任务的情绪反应性测量的关系。在目标3中，我们将探讨 情绪网络中枢的电刺激改变了网络活动，改变了情绪、情绪和焦虑。 通过利用多学科的方法，拟议的项目有可能提出关于 情绪的神经起源，并提出情绪和情感的神经生物学基础的现有模型 症状。