Deep brain activities can be detected with magnetoencephalography
By F. Pizzo, N. Roehri, S. M. Villalon, A. Trébuchon, S. Chen, S. Lagarde, R. Carron, M. Gavaret, B. Giusiano, A. McGonigal and 3 more. 2019
Subfields: Biophysics, Cognitive Neuroscience
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- S. Médina Villalon
- Jean-Michel Badier
- Víctor J. López-Madrona
- J. Makhalova
- K. Nakazawa
- H. Kishima
- H. Yokoyama
- N. Kaneko
Citations in the corpus
- Accurate localization of cortical and subcortical sources of M/EEG signals by a convolutional neural network with a realistic head conductivity model: Validation with M/EEG simulation, evoked potentials, and invasive recordings (2024, result): “Contrary to the long-held belief that deep brain structures are not discernible via M/EEG, recent studies have shown the potential of these techniques in detecting subcortical activity through simultaneous M/EEG and invasive electrode recordings (Pizzo et al., 2019; Seeber et al., 2019).”
- Simultaneous invasive and non-invasive recordings in humans: A novel Rosetta stone for deciphering brain activity (2024, unknown): “Spatial filtering technique or independent component analysis (ICA) can potentially help disentangling signals seen at the surface and thus facilitate the comparison with depth signals (Coelli et al., 2023; L ´ opez-Madrona et al., 2022; Pizzo et al., 2019).”
- Combining independent component analysis and source localization for improving spatial sampling of stereoelectroencephalography in epilepsy (2024, methodology): “It is used in non-invasive recordings to remove artifacts 13 or to extract activities of interest such as epileptic discharges or cognitive processes 14,15 .”