μ-STAR: a novel framework for spatio-temporal M/EEG source imaging optimized by microstates

• Main Authors: Feng, Zhao, Wang, Sujie, Qian, Linze, Xu, Mengru, Wu, Kuijun, Kakkos, Ioannis, Guan, Cuntai, Sun, Yu
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Source imaging; Bayesian framework
• Online Access: https://hdl.handle.net/10356/174684
• Institution: Nanyang Technological University

Source imaging of Electroencephalography (EEG) and Magnetoencephalography (MEG) provides a noninvasive way of monitoring brain activities with high spatial and temporal resolution. In order to address this highly ill-posed problem, conventional source imaging models adopted spatio-temporal constrain...