Electrophysiological Source Imaging: A Noninvasive Window to Brain Dynamics

• Published in: Annual review of biomedical engineering Vol. 20; p. 171
• Main Authors: He, Bin, Sohrabpour, Abbas, Brown, Emery, Liu, Zhongming
• Format: Journal Article
• Language: English
• Published: United States 04.06.2018
• Subjects: Algorithms; Animals; Bayes Theorem; Brain - diagnostic imaging; Electroencephalography - methods; Electrophysiology - methods; Humans; Magnetic Resonance Imaging - methods; Magnetoencephalography - methods; Neurosciences - trends; Signal Processing, Computer-Assisted; Software; inverse problem; source localization; electrophysiological source imaging; functional connectivity; EEG; MEG

Brain activity and connectivity are distributed in the three-dimensional space and evolve in time. It is important to image brain dynamics with high spatial and temporal resolution. Electroencephalography (EEG) and magnetoencephalography (MEG) are noninvasive measurements associated with complex neu...