Source connectivity analysis with MEG and EEG
JM Schoffelen, J Gross - Human brain mapping, 2009 - Wiley Online Library
Interactions between functionally specialized brain regions are crucial for normal brain
function. Magnetoencephalography (MEG) and electroencephalography (EEG) are …
function. Magnetoencephalography (MEG) and electroencephalography (EEG) are …
The relationship between MEG and fMRI
EL Hall, SE Robson, PG Morris, MJ Brookes - Neuroimage, 2014 - Elsevier
In recent years functional neuroimaging techniques such as fMRI, MEG, EEG and PET have
provided researchers with a wealth of information on human brain function. However none …
provided researchers with a wealth of information on human brain function. However none …
[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 …
A critical assessment of connectivity measures for EEG data: a simulation study
Information flow between brain areas is difficult to estimate from EEG measurements due to
the presence of noise as well as due to volume conduction. We here test the ability of …
the presence of noise as well as due to volume conduction. We here test the ability of …
[HTML][HTML] Measuring functional connectivity in MEG: a multivariate approach insensitive to linear source leakage
A number of recent studies have begun to show the promise of magnetoencephalography
(MEG) as a means to non-invasively measure functional connectivity within distributed …
(MEG) as a means to non-invasively measure functional connectivity within distributed …
Volume conduction influences scalp-based connectivity estimates
Electroencephalographic (EEG) signals recorded from the scalp surface are generally highly
correlated. Each channel is a linear mixture of concurrently active brain and non-brain …
correlated. Each channel is a linear mixture of concurrently active brain and non-brain …
BioSig: the free and open source software library for biomedical signal processing
C Vidaurre, TH Sander, A Schlögl - Computational intelligence …, 2011 - Wiley Online Library
BioSig is an open source software library for biomedical signal processing. The aim of the
BioSig project is to foster research in biomedical signal processing by providing free and …
BioSig project is to foster research in biomedical signal processing by providing free and …
Functional networks of the brain: from connectivity restoration to dynamic integration
A review of physical and mathematical methods for reconstructing the functional networks of
the brain based on recorded brain activity is presented. Various methods are considered, as …
the brain based on recorded brain activity is presented. Various methods are considered, as …
Patterns of bidirectional communication between cortex and basal ganglia during movement in patients with Parkinson disease
E Lalo, S Thobois, A Sharott, G Polo… - Journal of …, 2008 - Soc Neuroscience
Cortico-basal ganglia networks are considered to comprise several parallel and mostly
segregated loops, where segregation is achieved in space through topographic connectivity …
segregated loops, where segregation is achieved in space through topographic connectivity …
Neuroelectrical hyperscanning measures simultaneous brain activity in humans
In this study we illustrate a methodology able to follow and study concurrent and
simultaneous brain processes during cooperation between individuals, with non invasive …
simultaneous brain processes during cooperation between individuals, with non invasive …