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Neural Mapping of the Social Landscape

社会景观的神经映射

基本信息

批准号：
10154808
负责人：
Matthew Schafer
金额：
$ 4.44万
依托单位：
ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-01-01 至 2023-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10154808
关键词：
Affective Algorithms Behavior Behavioral Big Data Brain Brain region Cognitive Complex Conceptual Domain Data Decision Making Diagnosis Dimensions Disease Ensure Environment Factor Analysis Functional Magnetic Resonance Imaging Functional disorder Future Geometry Goals Health Hippocampal Formation Hippocampus (Brain)Impairment Individual Linear Models Link Location Maps Measures Medial Memory Mental disorders Methods Modeling Movement Neurobiology Patient Self-Report Phenotype Prefrontal Cortex Process Questionnaires Role Role playing therapy Sampling Signal Transduction Social Behavior Social Functioning Social Interaction Social Power Structure Symptoms Testing Time United States Work autism spectrum disorder base behavioral study cingulate cortex cognitive neuroscience computational neuroscience computer grid computer studies digital entorhinal cortex flexibility multidimensional data neural correlate neural patterning neuromechanism novel relating to nervous system simulation social social cognition social deficits social relationships social space social structure therapeutic candidate therapeutic target tool two-dimensional

项目摘要

PROJECT SUMMARY Psychiatric disorders that feature social impairment (e.g., Autism Spectrum Disorder) pose a significant health burden in the United States. Attempts to understand the underlying neurobiology of such social impairments have largely focused on classical `social brain' networks that include regions such as the medial prefrontal cortex. However, these disorders also tend to show hippocampal dysfunction – a region not normally included in descriptions of social brain networks. This prompts the question: are social and hippocampal dysfunction linked? Social cognitive mapping, whereby social information is organized and stored in the hippocampal formation to inform flexible social decision-making, is one candidate mechanism that may unify these seemingly distinct observations. In this proposal, we will use a naturalistic choose-your-own-adventure task that probes social cognitive mapping processes. Dimensions of social power and affiliation define a `social space' within which other people are coordinates and evolving relationships are trajectories. Previous work in our lab showed that hippocampus and posterior cingulate cortex activity tracked trajectories within this space. Furthermore, the parameter estimates from the hippocampus related to self-reported social function, suggesting that this neural tracking is relevant to real-world social cognition and behavior. To characterize the role of social cognitive mapping in both normal and abnormal social cognition, this proposal will use a large, multidimensional dataset, and cutting-edge approaches to functional magnetic resonance imaging (fMRI). First, we will leverage data-driven methods on a large and diverse online sample to relate the geometry of behavior within this two-dimensional social space to the underlying structure of social dysfunction. Second, we will use ultra-high field (7T) fMRI and state-of-the-art analyses to test for specific neural signatures within the social space that are predicted by the social cognitive mapping perspective (e.g., a grid-like representation). These results will further the fields of social cognitive and computational neuroscience, by revealing the behavioral and neural correlates of evolving relationships and how they relate to social function, and by extending hippocampal function to abstract, non-spatial domains. Further, this approach will allow the role of cognitive mapping in social dysfunction to be explored, and may provide candidate therapeutic targets for psychiatric disorders.

项目总结