Social Brain Networks for the Detection of Agents and Intentions

描述（由申请人提供）：在这种竞争性的更新，我们提出了一系列协调的多模态实验，以研究一个假定的模型大脑网络的属性，快速检测动画代理的基础上，他们的身体形态和/或运动，并推断代理的目标和意图从分析其运动和身份。这些能力对于成功的社会处理至关重要。由于社会处理功能障碍是神经发育和精神疾病的核心缺陷，如自闭症谱系障碍，威廉综合征，社交焦虑障碍和精神分裂症，我们认为，阐明这个网络的属性可能会导致更深入地了解这些疾病和先进的治疗策略。我们将使用多模态方法，包括功能性MRI，EEG/ERP，和直接皮层刺激，以最好地表征的位置，时间，和广泛的大脑区域的神经活动的协变假定包括这个网络。先进的定向连接和解码分析将用于分析网络节点之间的信息流。这些研究将受益于我们的机会，刺激和记录直接从硬膜下电极在病人的大脑在耶鲁大学癫痫手术计划。这项建议包括四个具体目标。在第一个目标中，我们将调查的时间和定向连接VOTC处理的面孔和身体的形式。在第二个目标中，我们将探讨的时间和定向连接LOTC加工的生命检测和意图归因。在第三个目标中，我们将调查的pSTS和FG之间的直接连接的变化作为一个动画代理的形式和运动的结果。在第四个目标中，我们将调查的语义信息的访问有关的动画代理在VATL。

DESCRIPTION (provided by applicant): In this competing renewal, we propose a coordinated series of multimodal experiments to study the properties of a putative model brain network that rapidly detects animate agents on the basis of their body form and/or motion, and infers the agent's goals and intentions from an analysis of its motion and its identity. These competencies are essential for successful social processing. As dysfunction of social processing is a core deficit in neurodevelopmental and psychiatric disorders as diverse as autism spectrum disorders, William's syndrome, social anxiety disorder, and schizophrenia, we believe that elucidating the properties of this network may lead to a deeper understanding of these disorders and advance strategies for treatment. We will use a multi-modal approach consisting of functional MRI, EEG/ERP, and direct cortical stimulation to best characterize the location, timing, and covariation of neural activity in widespread brain regions presumed to comprise this network. Advanced directed connectivity and decoding analyses will be used to analyze the flow of information among the network nodes. These studies will benefit from our opportunity to stimulate and record directly from subdural electrodes the human brain in patients in the Yale Epilepsy Surgery Program. This proposal comprises four specific aims. In the first aim, we will investigate the timing and directed connectivity upon VOTC processing of faces and body forms. In the second aim, we will investigate the timing and directed connectivity upon LOTC processing of animacy detection and intention attribution. In the third aim, we will investigate changes in directed connectivity between the pSTS and FG as a consequence of the form and motion presented by an animate agent. In the fourth aim, we will investigate the access of semantic information regarding animate agents in the VATL.