Cortical Signal Suppression (CSS) for Detection of Subcortical Activity Using MEG and EEG
Abstract Magnetoencephalography (MEG) and electroencephalography (EEG) use non-invasive sensors to detect neural currents. Since the contribution of superficial neural sources to the measured M/EEG signals are orders-of-magnitude stronger than the contribution of subcortical sources,...
Main Authors: | Samuelsson, John G, Khan, Sheraz, Sundaram, Padmavathi, Peled, Noam, Hämäläinen, Matti S |
---|---|
Other Authors: | Harvard University--MIT Division of Health Sciences and Technology |
Format: | Article |
Language: | English |
Published: |
Springer US
2021
|
Online Access: | https://hdl.handle.net/1721.1/131900 |
Similar Items
-
Contextual MEG and EEG Source Estimates Using Spatiotemporal LSTM Networks
by: Dinh, Christoph, et al.
Published: (2021) -
Sensitivity of MEG and EEG to Source Orientation
by: Ahlfors, Seppo Pentti, et al.
Published: (2011) -
Multimodal functional imaging using fMRI-Informed regional EEG/MEG estimation
by: Ou, Wanmei, et al.
Published: (2010) -
A computational paradigm for real-time MEG neurofeedback for dynamic allocation of spatial attention
by: Rana, Kunjan D, et al.
Published: (2020) -
Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation
by: Ou, Wanmei, et al.
Published: (2021)