{"670544":{"#nid":"670544","#data":{"type":"event","title":"Brain Space Initiative Talk Series: A Regularized Blind Source Separation Framework for Unveiling Hidden Sources of Brain Functional Connectome","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJoin us \u003Cstrong\u003EFriday, October 27th, 2023, at 1:00 PM ET \u003C\/strong\u003Efor an exciting \u003C\/span\u003Evirtual \u003Cspan\u003Etalk by \u003Cstrong\u003EDr. \u003C\/strong\u003E\u003C\/span\u003E\u003Cstrong\u003EYing Guo\u003C\/strong\u003E\u003Cstrong\u003E \u003C\/strong\u003E\u003Cspan\u003Eentitled: \u003C\/span\u003E\u201cA Regularized Blind Source Separation Framework for Unveiling Hidden Sources of Brain Functional Connectome\u003Cspan\u003E\u201d \u003C\/span\u003E\u003Ca\u003Eas part of the activities of the Brain Space Initiative, co-sponsored by the Center for Translational Research in Neuroimaging and Data Science (TReNDS) and the Data Science Initiative, IEEE Signal Processing Society.\u003C\/a\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EA Regularized Blind Source Separation Framework for Unveiling Hidden Sources of Brain Functional Connectome\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EBrain connectomics has become increasingly important in neuroimaging studies to advance understanding of neural circuits and their association with neurodevelopment, mental illnesses, and aging. These analyses often face major challenges, including the high dimensionality of brain networks, unknown latent sources underlying the observed connectivity, and the large number of brain connections leading to spurious findings. In this talk, we will introduce a novel regularized blind source separation (BSS) framework for reliable mapping of neural circuits underlying static and dynamic brain functional connectome. The proposed LOCUS methods achieve more efficient and reliable source separation for connectivity matrices using low-rank factorization, a novel angle-based sparsity regularization, and a temporal smoothness regularization. We develop a highly efficient iterative Node-Rotation algorithm that solves the non-convex optimization problem for learning LOCUS models. Simulation studies demonstrate that the proposed methods have consistently improved accuracy in retrieving latent connectivity traits. Application of LOCUS methods to the Philadelphia Neurodevelopmental Cohort (PNC) neuroimaging study generates considerably more reproducible findings in revealing underlying neural circuits and their association with demographic and clinical phenotypes, uncovers dynamic expression profiles of the circuits and the synchronization between them, and generates insights on gender differences in the neurodevelopment of brain circuits.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EBiosketch:\u003C\/span\u003E\u003C\/strong\u003E Dr. \u003Cspan\u003EYing Guo is Professor in the Department of Biostatistics and Bioinformatics at Emory University, an appointed Graduate Faculty of the Emory Neuroscience Program and an Associate Faculty in Emory Department of Computer Science. She is a Founding Member and current Director of the Center for Biomedical Imaging Statistics (CBIS) at Emory University.\u0026nbsp; Dr. Guo\u2019s research focus on developing analytical methods for neuroimaging and mental health studies. Her main research areas include statistical methods for agreement and reproducibility studies, brain network analysis, multimodal neuroimaging and imaging-based prediction methods. Dr. Guo is a Fellow of American Statistical Association (ASA) and 2023 Chair for the ASA Statistics in Imaging Section. She is a Standing Member of NIH Emerging Imaging Technologies in Neuroscience (EITN) Study Section and has served on the editorial boards of several scientific journals in statistics and psychiatry.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003ERecommended Article:\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EWang, Y. and Guo, Y. (2023).\u0026nbsp;\u0026nbsp; LOCUS: A regularized blind source separation method with low-rank structure for investigating brain connectivity. Annals of Applied Statistics, 17(2): 1307-1332. (\u003C\/span\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1214\/22-AOAS1670\u0022\u003E\u003Cspan\u003ELink to Paper\u003C\/span\u003E\u003C\/a\u003E\u003Cspan\u003E)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Ca\u003EMeeting information:\u003C\/a\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EMeeting number: 2621 373 4789\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EPassword: i2pXYPpm2R4 (42799776 from phones and video systems)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Ca href=\u0022https:\/\/gsumeetings.webex.com\/gsumeetings\/j.php?MTID=mb4457b5e26052655405b8d15fc33e1b8\u0022\u003E\u003Cspan\u003Ehttps:\/\/gsumeetings.webex.com\/gsumeetings\/j.php?MTID=mb4457b5e26052655405b8d15fc33e1b8\u003C\/span\u003E\u003C\/a\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJoin by phone\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E+1-415-655-0002 US Toll\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAccess code: 2621 373 4789\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EYing Guo, a professor in the Department of Biostatistics and Bioinformatics at Emory University will give a\u0026nbsp;Brain Space Initiative Talk on \u0022A Regularized Blind Source Separation Framework for Unveiling Hidden Sources of Brain Functional Connectome\u0022 on October 27, 2023.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring Ying Guo, Professor in the Department of Biostatistics and Bioinformatics at Emory University"}],"uid":"36172","created_gmt":"2023-10-20 15:41:49","changed_gmt":"2023-10-20 15:44:46","author":"dwatson71","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-10-27T13:00:00-04:00","event_time_end":"2023-10-27T14:00:00-04:00","event_time_end_last":"2023-10-27T14:00:00-04:00","gmt_time_start":"2023-10-27 17:00:00","gmt_time_end":"2023-10-27 18:00:00","gmt_time_end_last":"2023-10-27 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual ","extras":[],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[],"keywords":[{"id":"190966","name":"Brain Space Initiative Talk Series"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EArmin Iraji\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:armin.iraji@gmail.com\u0022\u003Earmin.iraji@gmail.com\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}