Review on solving the forward problem in EEG source analysis
Background The aim of electroencephalogram (EEG) source localization is to find the brain
areas responsible for EEG waves of interest. It consists of solving forward and inverse …
areas responsible for EEG waves of interest. It consists of solving forward and inverse …
A new approach to neuroimaging with magnetoencephalography
We discuss the application of beamforming techniques to the field of
magnetoencephalography (MEG). We argue that beamformers have given us an insight into …
magnetoencephalography (MEG). We argue that beamformers have given us an insight into …
[HTML][HTML] Good practice for conducting and reporting MEG research
Magnetoencephalographic (MEG) recordings are a rich source of information about the
neural dynamics underlying cognitive processes in the brain, with excellent temporal and …
neural dynamics underlying cognitive processes in the brain, with excellent temporal and …
Applications of the signal space separation method
S Taulu, J Simola, M Kajola - IEEE transactions on signal …, 2005 - ieeexplore.ieee.org
The reliability of biomagnetic measurements is traditionally challenged by external
interference signals, movement artifacts, and comparison problems caused by different …
interference signals, movement artifacts, and comparison problems caused by different …
Presentation of electromagnetic multichannel data: the signal space separation method
S Taulu, M Kajola - Journal of Applied Physics, 2005 - pubs.aip.org
Measurement of external magnetic fields provides information on electric current distribution
inside an object. For example, in magnetoencephalography modern measurement devices …
inside an object. For example, in magnetoencephalography modern measurement devices …
Beamformer analysis of MEG data
A Hillebrand, GR Barnes - International review of neurobiology, 2005 - Elsevier
Publisher Summary This chapter discusses a source reconstruction approach, beamforming,
which was only recently introduced to electroencephalography (EEG) and …
which was only recently introduced to electroencephalography (EEG) and …
Electrophysiological source imaging: a noninvasive window to brain dynamics
B He, A Sohrabpour, E Brown… - Annual review of …, 2018 - annualreviews.org
Brain activity and connectivity are distributed in the three-dimensional space and evolve in
time. It is important to image brain dynamics with high spatial and temporal resolution …
time. It is important to image brain dynamics with high spatial and temporal resolution …
Theory and applications of toroidal moments in electrodynamics: their emergence, characteristics, and technological relevance
N Talebi, S Guo, PA van Aken - Nanophotonics, 2018 - degruyter.com
Dipole selection rules underpin much of our understanding in characterization of matter and
its interaction with external radiation. However, there are several examples where these …
its interaction with external radiation. However, there are several examples where these …
MEG source localization of spatially extended generators of epileptic activity: comparing entropic and hierarchical bayesian approaches
Localizing the generators of epileptic activity in the brain using Electro-EncephaloGraphy
(EEG) or Magneto-EncephaloGraphy (MEG) signals is of particular interest during the pre …
(EEG) or Magneto-EncephaloGraphy (MEG) signals is of particular interest during the pre …
[HTML][HTML] Magnetic-field modeling with surface currents. Part I. Physical and computational principles of bfieldtools
Surface currents provide a general way to model magnetic fields in source-free volumes. To
facilitate the use of surface currents in magneto-quasistatic problems, we have implemented …
facilitate the use of surface currents in magneto-quasistatic problems, we have implemented …