Tu.3.2.4
Stimulus–Driven EEG Network Connectivity Transitions for Suicide Risk Assessment
Ali Torabi, Barjot Gill, James Reilly, Imayan Neela, Khrista Boylan, McMaster University
Session:
Tu.3.2: Functional and Directed Connectivity Analysis II Oral
Track:
Biomedical Signal Processing
Location:
Room 716A
Presentation Time:
Tuesday, 28 July, 15:15 - 15:30
Session Co-Chairs:
Yuri Antonacci and Marisa Pesola
Presentation
Discussion
Resources
No resources available.
Session Tu.3.2
Tu.3.2.1: A Path Toward Reproducibility: A Dual Perspective on Resting-State EEG Network Characteristics
King Hang Matthew Ma, Manson Cheuk-Man Fong, The Hong Kong Polytechnic University
Tu.3.2.2: Evaluating Gradient Alignment Strategies for Sensor-Level EEG Functional Mapping: a wPLI-based Functional Connectivity Study
Flavia Carbone, Letizia D'Antoni, Politecnico of Milan; Elena Bondi, University of Milan; Giandomenico Schiena, Fondazione IRCCS Ca' Granda Ospadale Maggiore Policlinico; Anna Maria Bianchi, Politecnico of Milan; Paolo Brambilla, University of Milan; Eleonora Maggioni, Politecnico of Milan
Tu.3.2.3: FREQUENCY-SPECIFIC NETWORK ALTERATIONS IN MAJOR DEPRESSIVE DISORDER REVEALED BY MULTISCALE FUNCTIONAL CONNECTIVITY IN RESTING-STATE FMRI
Hermine Alfsen, Hazim Hussein, Maryam Ziaei, Marta Molinas, Norwegian University of Science and Technology
Tu.3.2.4: Stimulus–Driven EEG Network Connectivity Transitions for Suicide Risk Assessment
Ali Torabi, Barjot Gill, James Reilly, Imayan Neela, Khrista Boylan, McMaster University
Tu.3.2.5: Development of Intersubject Connectivity Extraction via Cross-attention Transformers and its application to 22q11.2 Deletion Syndrome
Soma Esaki, Nagoya University; Koichi Fujiwara, Hokkaido University; Ryota Hashimoto, Junya Matsumoto, National Center of Neurology and Psychiatry; Itaru Kushima, Seiko Miyata, Norio Ozaki, Nagoya University
Tu.3.2.6: CONVOLUTIONAL KERNEL SHAPING FOR HIGH-SPATIAL FREQUENCY GROUP DIFFERENCES IN FUNCTIONAL BRAIN NETWORKS
Amirthavarshani Mahadevan, Armina Fani, Sergey Plis, Jingyu Liu, Vince D Calhoun, Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University
Resources
No resources available.