Dynamics of Large-Scale Networks During Emotional and Social Processing

情感和社会处理过程中大规模网络的动态

• 批准号: 9283803
• 负责人: LUIZ PESSOA
• 金额: $ 67.55万
• 依托单位: UNIV OF MARYLAND, COLLEGE PARK
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-05-16 至 2022-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9283803
• 关键词: Adolescence; Adopted; Affective; Amygdaloid structure; Anxiety; Autistic Disorder; Behavior; Brain; Brain region; Complex; Data; Development; Developmental Process; Disease; Emotional; Emotions; Evolution; Experimental Designs; Functional Magnetic Resonance Imaging; Goals; Individual; Individual Differences; Lead; Link; Machine Learning; Measures; Methods; Modeling; Monitor; Mood Disorders; Participant; Pathway Analysis; Persons; Process; Property; Research; Risk; Role; Series; Signal Transduction; Social Development; Social Environment; Social Interaction; Stimulus; Structure; Structure of terminal stria nuclei of preoptic region; Testing; Time; Work; affective neuroscience; age group; base; design; early adolescence; executive function; experimental study; face perception; graph theory; improved; innovation; middle childhood; movie; neglect; neurobiological mechanism; neuromechanism; novel; peer; positive mood; programs; relating to nervous system; response; social; social neuroscience; young adult

The goal of this application is to develop a research program that, as stated in the call entitled The Neural Mechanisms of Multi-Dimensional Emotional and Social Representation (RFA-MH- 17-300), incorporates innovative approaches designed to move the fields of affective and social neuroscience beyond single region-based, modular, and static models of brain function and behavior. The RFA calls for research that is multi-dimensional, that is, that investigates the role of (among others) complex contexts, as well as distributed and/or dynamic processes that unfold over time. The objective of the present application is to jointly investigate emotional and social processes in a richly multi-dimensional manner. Aim 1: Network organization and evolution during emotional and social processing. The objective of this aim is to uncover how large-scale brain networks are organized and evolve temporally during emotional and social processing. Networks will include brain regions that robustly respond to the tasks proposed, and regions from well characterized networks, including the salience, executive control, and task-negative networks. Aim 2: Naturalistic processing during emotional and social processing. The objective of this aim is to understand naturalistic processing of emotional and social information. Although standard experimental designs afford great control over experimental conditions, they lack ecological validity and restrict the experiments that can be studied. We propose to investigate continuous (“naturalistic”) processing during movie watching involving emotional and social content. Continuous processing will be investigated via intersubject correlation analysis, which measures the extent to which signals are correlated across participants. Aim 3: Development of network organization/evolution and naturalistic processing. The objective of this aim is to investigate multi-dimensional emotional and social processes from a developmental perspective. Most developmental research in emotion has focused on observing amygdala responses and those of a few other brain regions during face perception. We focus on a question largely neglected in prior research, specifically sustained threat processing and the involvement of the bed nucleus of the stria terminalis. In the context of social processing, this aim examines the development of intersubject synchrony. Across the emotional and social domains, we propose to study middle childhood (8-9 y), early adolescence (12-13 y), and young adulthood (18-19 y).

这个应用程序的目标是开发一个研究计划，如在电话中所述， 多维情绪和社会表征的神经机制（RFA-MH-） 17-300），采用了创新的方法，旨在推动情感和社会领域 神经科学超越了单一区域，模块化和静态的大脑功能模型， 行为RFA要求进行多维度的研究，即调查 复杂背景的（除其他外），以及分布式和/或动态过程， 随着时间的推移而展开。本申请的目的是联合研究情绪和情感因素。 以一种丰富的多维度方式进行社会进程。 目的1：情绪和社会处理过程中的网络组织和进化。的 这一目标的目的是揭示大规模的大脑网络是如何组织和进化的 在情绪和社会处理过程中的时间。网络将包括大脑区域， 对提出的任务作出强有力的响应，以及来自特征良好的网络的区域， 包括突显性、执行控制和任务负性网络。目标2：自然主义 在情绪和社会处理过程中。这一目标的目的是了解 情感和社会信息的自然处理。虽然标准实验 设计对实验条件有很大的控制，它们缺乏生态有效性， 限制了可以研究的实验。我们建议研究连续 （“自然主义”）处理过程中的电影观看涉及情感和社会内容。 将通过受试者间相关分析研究连续处理， 测量信号在参与者之间的相关程度。目标3：开发 网络组织/进化和自然主义处理。这一目标的目的是 从发展的角度研究多维的情感和社会过程， perspective.大多数情绪发展研究都集中在观察杏仁核上 反应和其他几个大脑区域的反应。我们专注于一个问题 在以前的研究中，特别是持续的威胁处理和参与中， 终纹的床核在社会处理的背景下，这一目标审查 主体间同步性的发展。在情感和社会领域，我们 建议研究儿童中期（8-9岁）、青春期早期（12-13岁）和青年期 （18-19岁）。