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BRAIN Initiative: Assessing development of event-related cortical network dynamics

BRAIN Initiative：评估事件相关皮层网络动态的发展

基本信息

批准号：
10190670
负责人：
Arnaud Delorme
金额：
$ 111.48万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN DIEGO
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：
2021-04-01 至 2024-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10190670
关键词：
Adolescent Affective Age Archives Area BRAIN initiative Bayesian learning Behavioral Brain Brain imaging Child Cognitive Collection Communities Complex Computer Analysis Computer software Data Data Analyses Data Set Data Store Descriptor Development Developmental Course Diet Electroencephalography Electrophysiology (science)Environment Event Exhibits Eye Family Film Functional Magnetic Resonance Imaging Funding Genetic Goals Head High Performance Computing Human Image Individual Institutes Life Style Link Machine Learning Magnetic Resonance Imaging Measures Methods Mind Modeling Monoclonal Antibody R24 Neurosciences New York City Participant Pathway Analysis Pattern Phenotype Process Psychopathology Pythons Research Research Personnel Resources Rest Saccades Sampling Signal Transduction Source System Testing Time Video Recording Videotape Visualization Voice actigraphy animation archive data archived data base biobank brain health computer network computing resources data archive data portal data resource data standards data tools density digital experimental study fitness gaze independent component analysis innovation movie multimodality network models neuroimaging open source psychiatric symptom recruit response sample fixation secondary analysis signal processing source localization tool visual tracking

项目摘要

Project Summary The Child Mind Institute’s Healthy Brain Network (HBN) is an ongoing initiative focused on creating and sharing a biobank of brain and behavioral data now being collected from 10,000 New York City area children and adolescents (ages 5-21). In response to RFA-MH-120-20 (‘Integration and analysis of BRAIN Initiative data’), we will collect their high-density EEG and continuous eye tracking data, recorded from now over 3,000 young participants while they watch movies and rest, plus participant MR head images, to create a developmental EEG and eye tracking data and analysis resource within the BRAIN Initiative-funded NEMAR portal (NEMAR.org) to the OpenNeuro human neuroimaging resource (OpenNeuro.org). We will store the data in accord with the latest advances in the Brain Imaging Data Standard (BIDS), including innovative co-registration of eye-tracking information and EEG, extraction of anonymized Leadfield matrices for advanced participant-based source localization, and Hierarchical Event Descriptor (HED) annotation of movie and eye tracking events in the data, to enable sophisticated exploratory and model-based analyses by any user of the Neuroscience Gateway (nsgportal.org), which offers processing of complex tasks on the U.S. XSEDE computer network (XSEDE.org) for users of standard neuroscience software. We propose to build on the large existing and readily extensible set of tools for analysis, modeling, and visualization of human EEG data in the world leading EEGLAB software environment for electrophysiological signal processing we develop and maintain (5R01-NS047293-15) (sccn.ucsd.edu/eeglab), to process the large corpus of innovative EEG and synchronous eye tracking data recorded during movie viewing by the HBN project. We will then apply source-resolved event-related analysis models to cortical EEG network dynamics associated with movie watching, will model their changes across development, and will compare the time course of these changes with changes in eye gaze patterns at the same age levels. We will use cortical source-resolved, event-related functional EEG connectivity measures implemented in the Source Information Flow Toolbox (SIFT) to model event-related EEG dynamics of individual participants, and will apply advanced hierarchical Bayes-based methods and statistical assessment to perform statistical testing on subject group models. We will study the development of event-related cortical information flow during movie watching and rest across the large HBN developmental (5-21 years) sample, and compare it to the developmental trajectory of changes in eye gaze patterns during movie viewing.

项目总结