"Cortical control of facial expression production"

“皮质控制面部表情的产生”

基本信息

批准号：
10406362
负责人：
Geena Ianni
金额：
$ 5.18万
依托单位：
WEILL MEDICAL COLL OF CORNELL UNIV
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-05-04 至 2024-05-03
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10406362
关键词：
Affective Anatomy Area Behavior Behavioral Biological Models Body part Brain Brain region Categories Cells Characteristics Clinical Code Communication Complex Data Disease Dissociation Doctor of Philosophy Electrodes Emotions Expressed Emotion Face Facial Expression Facial Expression Perception Facial Muscles Facial nerve nucleus Fellowship Fill-It Food Functional Magnetic Resonance Imaging Goals Human Lateral Life Macaca Magnetic Resonance Maps Measures Medial Mental disorders Methodology Methods Monitor Monkeys Mood Disorders Motivation Motor Motor Neurons Movement Muscle National Institute of Mental Health Neurons Neuropsychology Neurosciences Outcome Physicians Population Primates Production Property Public Health Research Resolution Schizophrenia Scientist Signal Transduction Social Controls Social Environment Social Network Social Well-Being Societies Specificity Stereotyping Stimulus Suggestion System Testing Time Training Universities Update Ursidae Family Vocabulary Volition Well in self Work autism spectrum disorder base career human data innovation medical schools microstimulation neural circuit neural model neuromechanism neurophysiology neuropsychiatric disorder novel peer programs receptive field relating to nervous system skills social social communication spatiotemporal

项目摘要

Updated Project Summary: There is a fundamental gap in understanding how the brain produces social communication signals. Facial expressions are a vital social signal in societies, communicating internal affective state and valence of external stimuli. The continued existence of this gap is an important problem because until it is filled, it will be impossible to understand the neural principles that allow us to express emotions, exchange social information, and communicate with peers. Past work has been critically limited to properties of few cells in a single brain region. The recent discovery of the functional network for social communication signal production, when paired with multichannel electrode arrays, allows for simultaneous recordings from populations of cells which compose this distributed network. The long-term goal is to understand how the brain produces socially communicative acts. The overall objective is to elucidate how neural populations in discrete cortical areas control socially communicative facial movements. The central hypothesis is communicative facial movements are controlled by the coordinated activity of a set of functionally specific cortical regions, each containing cells with characteristic spatiotemporal receptive fields. The rationale is this proposal will determine the mechanisms of facial expression production from the level of single cells to cortical territories, enabling mechanistic study of socioemotional expression and its deficit. The hypothesis will be tested by pursuing three specific aims: 1) determine single-cell contributions to facial movement in different nodes of facial expression production network, 2) determine the functional specificity of different nodes of the facial expression production network, and 3) determine whether or not facial expressions result from discrete cortical states. Under the first and third aims, multichannel electrode arrays targeted to fMRI-localized regions will measure the simultaneous activity of neurons across multiple regions of the facial expression production network during socially communicative behavior. In Aim 2, the applicant will use these arrays to deliver intracortical microstimulation in order to causally determine each region’s functional specificity. The proposed research is innovative as it combines two cutting-edge neurophysiological methods in a novel model system of social communication to generate the first mechanistic descriptions of the cortical control of facial expressions. This research is significant because it 1) produces a mechanistic understanding from the level of single cells to a cortical network, of how the brain produces social communication signals through the face, and 2) forms a new model system in which hypotheses related to socioemotional expression and its deficit can be rigorously tested. The applicant’s career goal is to be an academic physician-scientist with a research program aimed at bringing the theoretical motivations and methodologies of systems neuroscience to bear on complex behaviors, in both healthy and disease states. She is pursuing MD-PhD training at Weill Cornell Medical College and The Rockefeller University, and will develop research, scientific communication, and clinical expertise skills during this fellowship.

更新的项目摘要：了解大脑如何产生社会交流信号存在根本的差距。面部表情是社会中至关重要的社会信号，传达了内部情感状态和外部刺激的价。这个差距的持续存在是一个重要的问题，因为在填补之前，将不可能理解使我们表达情感，交流社会信息并与同龄人交流的神经原则。过去的工作已被严重限于单个大脑区域中很少的细胞的性质。最近发现，与多通道电极阵列配对的社交通信信号产生的功能网络允许从组成该分布式网络的细胞种群中进行简单的记录。长期目标是了解大脑如何产生社会传播的行为。总体目标是阐明离散皮质区域中的中性人群如何控制社会传播的面部运动。中央假设是通过一组功能特异性皮质区域的协调活性来控制的，每个人的面部运动都具有特征性的空间时间接受场。理由是该提案将确定面部表达产生从单个细胞水平到皮质区域的机制，从而实现了社会情感表达及其缺陷的机理研究。通过追求三个特定目标来测试：1）确定面部表达生产网络不同节点中面部运动的单细胞贡献，2）确定面部表达产生网络不同节点的功能特异性，3）确定面部表达是否由离散皮质状态产生。在第一个和第三个目标下，针对fMRI定位区域的多通道电极阵列将在社会传播行为期间衡量面部表达生产网络多个区域的神经元的简单活性。在AIM 2中，申请人将使用这些阵列进行皮质内微刺激，以确定每个区域的功能特异性。拟议的研究具有创新性，因为它结合了一种新型的社交交流模型系统中的两种尖端的神经生理方法，从而产生了面部表情的皮质控制的第一个机械描述。这项研究很重要，因为它1）从单个细胞的水平到皮质网络产生机械理解，即大脑如何通过面部产生社会交流信号，而2）形成了一种新的模型系统，其中假设与社会情感表达及其赤字相关的假设可以进行严格的测试。申请人的职业目标是成为一名学术科学家，其研究计划旨在使系统神经科学的理论动机和方法在健康和疾病状态下都遵循复杂的行为。她正在威尔·康奈尔医学院（Weill Cornell Medical College）和洛克菲勒大学（Rockefeller University）进行MD-PHD培训，并将在此研究金期间发展研究，科学沟通和临床专业知识技能。