177 citations · 323 across the 6 of their papers we have counts for
6 papers
An F-ratio-Based Method for Estimating the Number of Active Sources in MEG
Amita Giri, John C. Mosher, Amir Adler +1
Magnetoencephalography (MEG) is a powerful technique for studying the human brain function. However, accurately estimating the number of sources that contribute to the MEG recordin…
Realistic head modeling of electromagnetic brain activity: An integrated Brainstorm pipeline from MRI data to the FEM solution
Takfarinas Medani, Juan Garcia-Prieto, Francois Tadel +6
Human brain activity generates scalp potentials (electroencephalography EEG), intracranial potentials (iEEG), and external magnetic fields (magnetoencephalography MEG), all capable…
Microtesla MRI of the human brain combined with MEG
V. S. Zotev, A. N. Matlashov, P. L. Volegov +5
One of the challenges in functional brain imaging is integration of complementary imaging modalities, such as magnetoencephalography (MEG) and functional magnetic resonance imaging…
Parallel MRI at microtesla fields
V. S. Zotev, P. L. Volegov, A. N. Matlashov +3
Parallel imaging techniques have been widely used in high-field magnetic resonance imaging (MRI). Multiple receiver coils have been shown to improve image quality and allow acceler…
Multi-sensor system for simultaneous ultra-low-field MRI and MEG
V. S. Zotev, A. N. Matlachov, P. L. Volegov +6
Magnetoencephalography (MEG) and magnetic resonance imaging at ultra-low fields (ULF MRI) are two methods based on the ability of SQUID (superconducting quantum interference device…
Multi-Channel SQUID System for MEG and Ultra-Low-Field MRI
Vadim S. Zotev, Andrei N. Matlachov, Petr L. Volegov +6
A seven-channel system capable of performing both magnetoencephalography (MEG) and ultra-low-field magnetic resonance imaging (ULF MRI) is described. The system consists of seven s…