A review of issues related to data acquisition and analysis in EEG/MEG studies
A Puce, MS Hämäläinen - Brain sciences, 2017 - mdpi.com
Electroencephalography (EEG) and magnetoencephalography (MEG) are non-invasive
electrophysiological methods, which record electric potentials and magnetic fields due to …
electrophysiological methods, which record electric potentials and magnetic fields due to …
[HTML][HTML] IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG)
Magnetoencephalography (MEG) records weak magnetic fields outside the human head
and thereby provides millisecond-accurate information about neuronal currents supporting …
and thereby provides millisecond-accurate information about neuronal currents supporting …
Working memory revived in older adults by synchronizing rhythmic brain circuits
RMG Reinhart, JA Nguyen - Nature neuroscience, 2019 - nature.com
Understanding normal brain aging and developing methods to maintain or improve
cognition in older adults are major goals of fundamental and translational neuroscience …
cognition in older adults are major goals of fundamental and translational neuroscience …
[图书][B] Analyzing neural time series data: theory and practice
MX Cohen - 2014 - books.google.com
A comprehensive guide to the conceptual, mathematical, and implementational aspects of
analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This …
analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This …
Deep neural networks constrained by neural mass models improve electrophysiological source imaging of spatiotemporal brain dynamics
Many efforts have been made to image the spatiotemporal electrical activity of the brain with
the purpose of mapping its function and dysfunction as well as aiding the management of …
the purpose of mapping its function and dysfunction as well as aiding the management of …
[HTML][HTML] Towards an objective evaluation of EEG/MEG source estimation methods–The linear approach
The spatial resolution of EEG/MEG source estimates, often described in terms of source
leakage in the context of the inverse problem, poses constraints on the inferences that can …
leakage in the context of the inverse problem, poses constraints on the inferences that can …
On the potential of a new generation of magnetometers for MEG: a beamformer simulation study
Magnetoencephalography (MEG) is a sophisticated tool which yields rich information on the
spatial, spectral and temporal signatures of human brain function. Despite unique potential …
spatial, spectral and temporal signatures of human brain function. Despite unique potential …
Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG
P Krishnaswamy, G Obregon-Henao… - Proceedings of the …, 2017 - National Acad Sciences
Subcortical structures play a critical role in brain function. However, options for assessing
electrophysiological activity in these structures are limited. Electromagnetic fields generated …
electrophysiological activity in these structures are limited. Electromagnetic fields generated …
Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG
The synchronous brain activity measured via MEG (or EEG) can be interpreted as arising
from a collection (possibly large) of current dipoles or sources located throughout the cortex …
from a collection (possibly large) of current dipoles or sources located throughout the cortex …
Choice of magnetometers and gradiometers after signal space separation
Background: Modern Elekta Neuromag MEG devices include 102 sensor triplets containing
one magnetometer and two planar gradiometers. The first processing step is often a signal …
one magnetometer and two planar gradiometers. The first processing step is often a signal …