Th.1.4.5
A 3D Brain Geometry Toolkit for Multisite Neuroimaging Analysis
Yanghee Im, Melody J.Y. Kang, Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA; Boris A. Gutman, Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA; Pravesh Parekh, Diliana Pecheva, Anders M. Dale, Center for Multimodal Imaging and Genetics, J. Craig Venter Institute, La Jolla, CA, USA; Ole A. Andreassen, Centre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway; Paul M. Thompson, Christopher R.K. Ching, Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA
Session:
Th.1.4: Brain Network Analysis and Neuroimaging Biomarkers Oral
Track:
Biomedical Imaging and Image Processing
Location:
Room 716B
Presentation Time:
Thursday, 30 July, 09:30 - 09:45
Session Co-Chairs:
Georgios Mitsis and Mengcong Li
Presentation
Discussion
Resources
No resources available.
Session Th.1.4
Th.1.4.1: EFFICIENT BRAIN NETWORK ESTIMATION WITH SPARSE ICA IN NON-HUMAN PRIMATE NEUROIMAGING
Qiang Li, Liang Ma, Masoud Seraji, Georgia State University; Shujian Yu, Vrije Universiteit Amsterdam; Yun Wang, Emory University; Jingyu Liu, Vince D. Calhoun, Georgia State University
Th.1.4.2: IDENTIFYING EEG COHERENCE PATTERNS AS BIOMARKERS FOR CHRONIC MUSCULOSKELETAL PAIN
Edward Lannon, Stanford University; Hyeonseok Kim, Cincinnati Children's Hospital; Gadi Gilam, Hebrew University of Jerusalem; Dokyoung You, The University of Oklahoma; Sharon Naparstek, Bar-Ilan University; Sanggyun Kim, Seoul Cyber University; Omar Altirkawi, Stanford University; Russell Toll, UT Southwestern; Makoto Miyakoshi, Cincinnati Children's Hospital; Amit Etkin, Alto Neuroscience; Beth Darnall, Sean Mackey, Stanford University
Th.1.4.3: RESTING STATE BRAIN NETWORKS IN SCHIZOPHRENIA SHOW DIMINISHED SPATIAL DYNAMICS AND ABERRANT SPATIAL COMPLEXITY
Krishna Pusuluri, Armin Iraji, Vince Calhoun, Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science
Th.1.4.4: FULL DYNAMIC VERSUS DISCREPANCY-BALANCED EVOLUTION MODEL FOR STANDARDIZED KALMAN FILTERING IN EEG BRAIN SOURCE RECONSTRUCTION
Dilshanie Prasikala, Joonas Lahtinen, Arash Zarrin Nia, Babatunde Abdullahi Olatunji, Alexandra Koulouri, Sampsa Pursiainen, Tampere University
Th.1.4.5: A 3D Brain Geometry Toolkit for Multisite Neuroimaging Analysis
Yanghee Im, Melody J.Y. Kang, Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA; Boris A. Gutman, Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA; Pravesh Parekh, Diliana Pecheva, Anders M. Dale, Center for Multimodal Imaging and Genetics, J. Craig Venter Institute, La Jolla, CA, USA; Ole A. Andreassen, Centre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway; Paul M. Thompson, Christopher R.K. Ching, Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA
Th.1.4.6: DECODING REPRODUCIBLE FUNCTIONAL CONNECTIVITY NETWORKS IN THE FREQUENCY DOMAIN WITH DEEP LEARNING AND LARGE LANGUAGE MODELS
Arif Hassan Zidan, Augusta University; Yu Bao, James Madison University; Tianming Liu, University of Georgia; Wei Zhang, Augusta University
Resources
No resources available.