Spatiotemporal dynamics of the human emotion network

人类情感网络的时空动态

• 批准号: 10650379
• 负责人: Edward Chang
• 金额: $ 66.99万
• 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/10650379
• 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; Neuroanatomy; Neurobiology; Neurons; Operative Surgical Procedures; Participant; Patients; Pattern; Personal Satisfaction; Play; Population; Property; Resolution; Role; Seizures; Standardization; Stimulus; Structure; Symptoms; System; Testing; Video Recording; Work; cingulate cortex; daily functioning; emotion regulation; emotional reaction; experience; flexibility; functional electrical stimulation; improved; innovation; interdisciplinary approach; millisecond; mortality; multimodality; negative affect; network dysfunction; neural; neuroimaging; neuropsychiatric disorder; novel; positive emotional state; response; spatiotemporal; specific biomarkers; success; support network; 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.

抽象的 情感症状是反映分布式功能障碍的神经精神疾病的常见特征 支持情绪的大脑网络。单个情感网络中的异常功能如何构成广泛的基础 情感症状范围（例如抑郁和焦虑）尚不清楚。锚定 扣带皮层和腹侧前岛，情绪网络对许多情感刺激做出了反应。更多 对情绪网络如何产生情感以及非典型情感网络的软化理解 与情感症状有关的功能 - 对于推进当前的神经解剖模型至关重要 神经精神疾病。颅内脑电图（IEEG）提供了神经元的直接估计值 种群可用于绘制情绪网络的时空动力学 分辨率。尽管功能性神经影像学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的分辨率，无法确定情绪是否存在 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 情感网络动态与行为，自主和经历的变化有关 情绪并研究情绪网络功能障碍与情感症状之间的关系。解剖学 - 情绪网络功能障碍的特定生物标志物可用于指导新型治疗的发展， 监测症状和治疗反应，并改善情感症状的动物模型。我们将学习 有100例顽固性癫痫患者接受了癫痫发作的手术。具有IEEG电子的受试者 在情绪网络中，将在多天的住院期间进行连续的神经和视频记录。 自然主义的情感行为，受试者在整个住院期间都有赞助，情感 响应标准化情感刺激的反应性，以及电刺激后的情绪反应 情绪网络中心将被量化。我们将研究情绪网络中心中的活动如何变化 在情绪中以及情绪网络属性如何使某些人更容易受到情感的影响 症状比其他人。我们将解决三个关键目标。在AIM 1中，我们将确定情感网络活动如何 与自然主义的情感行为有关。在AIM 2中，我们将发现离散的独特神经签名 情绪及其与基于任务的情感反应性措施的关系。在AIM 3中，我们将调查是否 情绪网络中心的电刺激会改变网络活动，并改变情绪，情绪和焦虑。 通过使用多学科的方法，拟议的项目有可能提出有关有关的新问题 情感的神经起源，并推动情绪和情感的神经生物学基础的当前模型 症状。

项目成果

Decoding naturalistic affective behaviour from spectro-spatial features in multiday human iEEG.

• DOI: 10.1038/s41562-022-01310-0
• 发表时间: 2022-06
• 期刊: NATURE HUMAN BEHAVIOUR
• 影响因子: 29.9
• 作者: Bijanzadeh, Maryam;Khambhati, Ankit N.;Desai, Maansi;Wallace, Deanna L.;Shafi, Alia;Dawes, Heather E.;Sturm, Virginia E.;Chang, Edward F.
• 通讯作者: Chang, Edward F.