Abstract
Magnetoencephalography (MEG) is a noninvasive method for sensing magnetic fields generated by the human brain. Brain imaging with MEG sensor data is enabled by the application of signal processing and source reconstruction algorithms to MEG data that generates highly dynamic maps of brain activation in a wide range of neural oscillatory frequencies with a high spatiotemporal precision unattainable by other imaging techniques. This imaging modality is ideally suited to monitor dynamic neuronal activity across widely separated brain regions and simultaneously characterizing their interactions. This technique also offers a reliable quantitative tool to measure altered neuronal activity that is correlated to specific behavioral deficits observed in disease conditions. In this chapter, we first review how brain activity and connectivity images can be reconstructed from MEG measurements and then review the use of brain imaging with MEG in various neurodegenerative conditions.
| Original language | English (US) |
|---|---|
| Title of host publication | Genomics, Circuits, and Pathways in Clinical Neuropsychiatry |
| Publisher | Elsevier Inc. |
| Pages | 233-245 |
| Number of pages | 13 |
| ISBN (Print) | 9780128001059 |
| DOIs | |
| State | Published - Jun 21 2016 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2016 Elsevier Inc. All rights reserved.
Keywords
- BOLD
- EEG
- Functional MRI
- Magnetoencephalography
- Neuroimaging