Journal
NEUROIMAGING CLINICS OF NORTH AMERICA
Volume 30, Issue 2, Pages 125-+Publisher
W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1016/j.nic.2020.02.001
Keywords
Magnetoencephalography; Neurons; Parametric source models; Distributed current estimates; Scanning approaches; Fast-VESTAL; Network connectivity measurement
Funding
- RRD VA [I01 RX001988] Funding Source: Medline
- CSRD VA [I01 CX002035, I01 CX000499] Funding Source: Medline
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Magnetoencephalography (MEG) is a noninvasive functional imaging technique for the brain. MEG directly measures the magnetic signal due to neuronal activation in gray matter with high spatial localization accuracy. The first part of this article covers the overall concepts of MEG and the forward and inverse modeling techniques. It is followed by examples of analyzing evoked and resting-state MEG signals using a high-resolution MEG source imaging technique. Next, different techniques for connectivity and network analysis are reviewed with examples showing connectivity estimates from resting-state and epileptic activity.
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