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Correlation of Sensorimotor Activation with Functional Magnetic Resonance Imaging and Magnetoencephalography in Presurgical Functional Imaging: A Spatial Analysis
2001
NeuroImage
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MEG source localization was performed with a single equivalent current dipole model and a current density localization approach. ...
However, MEG and fMRI localization results showed significantly different activation sites for the motor and sensory task with a distance of 10 and 15 mm, respectively. ...
Furthermore integration of language mapping with MEG and fMRI as well as MEG-and fMRI-based localization of foci in epilepsy surgery (Schwartz et al., 1998) with integration of these data into functional ...
doi:10.1006/nimg.2001.0909
pmid:11697953
fatcat:qgdaa7nr3bfvld27v4f7nlsyne
The Role of MEG in Unveiling Cognition
[chapter]
2011
Magnetoencephalography
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In a normative study of language profiles with MEG (Papanicolau et al., 2006) it was shown that brain activation profiles featured two components, an early and a late, but more importantly those features ...
A 2009 paper by Frye et al. reviewed the functional neuroimaging of language using MEG and its importance as a functional neuroimaging technique for mapping the languagespecific cortex. ...
doi:10.5772/30929
fatcat:qcbqbfcwczg7lijda56i7gf7cu
Functional connectivity disruptions correlate with cognitive phenotypes in Parkinson's disease
2017
NeuroImage: Clinical
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These findings indicate that functional connectivity decreases with the worsening of cognitive performance and loss of frontotemporal connectivity may be a promising neuromarker of cognitive impairment ...
Functional brain networks were identified using a dense-EEG source connectivity method. Pairwise functional connectivity was computed for 68 brain regions in different EEG frequency bands. ...
Again, further investigations are needed to determine whether these profiles are also associated with differences in functional EEG connectivity. ...
doi:10.1016/j.nicl.2017.03.002
pmid:28367403
pmcid:PMC5361870
fatcat:7sahvqv6y5eltfdukv2va3de6i
Measurement of dynamic task related functional networks using MEG
2017
NeuroImage
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Previous network analyses look for brain regions that share a common temporal profile of activity. ...
Our method tracks the dynamics of functional connectivity in the brain on a timescale commensurate to the task they are undertaking. ...
., Measurement of dynamic task related functional networks using MEG. NeuroImage (2016), http://dx.doi.org/10.1016/j.neuroimage.2016.08.061i ...
doi:10.1016/j.neuroimage.2016.08.061
pmid:27639354
pmcid:PMC5312793
fatcat:u33vef7c5ra2bc7dw33bys2caa
Adaptive neural network classifier for decoding MEG signals
2019
NeuroImage
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We introduce two Convolutional Neural Network (CNN) classifiers optimized for inferring brain states from magnetoencephalographic (MEG) measurements. ...
Network design follows a generative model of the electromagnetic (EEG and MEG) brain signals allowing explorative analysis of neural sources informing classification. ...
MEG is considered to have higher spatial resolution than EEG because the EEG signal is distorted by the heterogeneous conductivity profile of head tissues to a greater extent than the MEG signal. ...
doi:10.1016/j.neuroimage.2019.04.068
pmid:31059799
pmcid:PMC6609925
fatcat:orsoefql25hm7fexgqtakpki6y
Potential Use of MEG to Understand Abnormalities in Auditory Function in Clinical Populations
2014
Frontiers in Human Neuroscience
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., minimum-norm estimation) and functional connectivity measures, and how they can provide insights into cortical processing. ...
Magnetoencephalography (MEG) provides a direct, non-invasive view of neural activity with millisecond temporal precision. ...
This leads to less distortion of MEG signals due to the propagation of signals through the scull and scalp, and gives MEG a complementary sensitivity profile to neural sources (Goldenholz et al., 2008 ...
doi:10.3389/fnhum.2014.00151
pmid:24659963
pmcid:PMC3952190
fatcat:nmzavepakjfxne3427ozknrdvy
Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity
2019
Frontiers in Neurology
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Moreover, the methodological approach is challenging, with several poorly examined parameters that most likely impact the resulting network patterns. ...
However, such method can allow unique insights into physiological and pathological brain functions and have great potential in (clinical) neuroscience. ...
For example, MEG sources for language localization and lateralization can guide preoperative decision making (97, 98) . ...
doi:10.3389/fneur.2019.00721
pmid:31379703
pmcid:PMC6651209
fatcat:plsu4oyosverlntrrc62jhg5ge
The priming of basic combinatory responses in MEG
2018
Cognition
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The next step up in the computational hierarchy of language is the basic combinatory operations that build phrases out of words. Could the act of combining black with cat be primed? ...
of magnetoencephalography (MEG) signals. ...
Thus overall, neuroimaging versions of the typical structural priming paradigms have mostly yielded results in regions other than where basic composition is implicated in MEG. ...
doi:10.1016/j.cognition.2017.09.010
pmid:28942354
pmcid:PMC5705448
fatcat:zvexotlsizgyrpsqgnovrzu7qm
Power and shift invariant detection of dynamically coupled networks (PSIICOS) from non-invasive MEG data
[article]
2017
bioRxiv
pre-print
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The existing methods are primarily concerned with proposing novel measures of synchrony to be applied to the cortical region activity signals extracted from the MEG data using beamforming or other spatial ...
We then use subspace matching metrics to extract a set of networks with their synchronicity profiles that explain the variance in the sensor space cross-spectral matrix, much like regular dipoles and their ...
We then analyze MEG datasets of 10 subjects involved in the auditory language task and demonstrate that implementation of the suggested projection operation to remove the undesired SL effect with the use ...
doi:10.1101/129155
fatcat:yhevllxmnndn3dmhcn3m7gi5he
FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
2011
Computational Intelligence and Neuroscience
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This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. ...
Furthermore, users and developers can easily extend the functionality and implement new algorithms. The modular design facilitates the reuse in other software packages. ...
Without the help of the people at the Donders Centre for Cognitive Neuroimaging, and all external people that were bold enough to give it a try, FieldTrip ...
doi:10.1155/2011/156869
pmid:21253357
pmcid:PMC3021840
fatcat:52olj3uzvray5e7wuc4xfxsjfq
Building phrases in language production: An MEG study of simple composition
2014
Cognition
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With MEG, we measured the planning stages of simple adjective-noun phrases ('red tree'), matched list controls ('red, blue'), and individual nouns ('tree') and adjectives ('red'), with results indicating ...
Here, we circumvent both problems using a minimal composition paradigm combined with the high temporal resolution of magnetoencephalography (MEG). ...
We thank Victor Ferreira for discussion of the results, Anna Bemis for her assistance in creating the figures and Paul Del Prato for help with the data analysis. ...
doi:10.1016/j.cognition.2014.07.001
pmid:25128795
fatcat:35jx47gg75epziajsvau6ppte4
The cost of question concealment: Eye-tracking and MEG evidence
2008
Brain and Language
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Previous behavioral and magnetoencephalographic (MEG) studies have reported a cost associated with converting an entity denotation to an event. ...
Brain and Language xxx (2007) xxx-xxx ARTICLE IN PRESS Please cite this article in press as: Harris, J. et al., The cost of question concealment: Eye-tracking and MEG evidence, Brain and Language (2007 ...
Rodolfo Llinás for generously allowing us to perform the MEG recordings in his facility. ...
doi:10.1016/j.bandl.2007.09.001
pmid:18029002
fatcat:ch66474rzngo3joxzwzijjwglq
Can EEG and MEG detect signals from the human cerebellum?
2020
NeuroImage
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We provide illustrative examples of cerebellar activity detected with MEG and EEG. Furthermore, we propose practical guidelines to optimize the detection of cerebellar activity with MEG and EEG. ...
This review is to be read as a perspective review that highlights that it is indeed possible to measure cerebellum with MEG and EEG and encourages MEG and EEG researchers to do so. ...
This notwithstanding, 62 neuroimaging studies using these modalities play a pivotal role in elucidating the functional role of 63 the cerebellum by unravelling its contribution to numerous tasks such as ...
doi:10.1016/j.neuroimage.2020.116817
pmid:32278092
pmcid:PMC7306153
fatcat:yfmdrs3p4fb6pawoey45brqg6q
A Potts-Mixture Spatiotemporal Joint Model for Combined MEG and EEG Data
[article]
2019
arXiv
pre-print
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2019 pre-print arXiv:1710.08269v7 fatcat:g2aopl3ijjc2vpxilyloixefx4Other Versions
Our new model incorporates two major extensions: (i) We combine EEG and MEG data together and formulate a joint model for dealing with the two modalities simultaneously; (ii) we incorporate the Potts model ...
The resulting inverse problem is ill-posed and is one of the most difficult problems in neuroimaging data analysis. ...
INTRODUCTION Magnetoencephalography (MEG) and electroencephalography (EEG) are neuroimaging modalities that have been widely used to study the function of the brain non-invasively using an array of sensors ...
arXiv:1710.08269v8
fatcat:y7tfqcgmtjapzmr7e2geowtcfa
Inflection across Categories: Tracking Abstract Morphological Processing in Language Production with MEG
2021
Cerebral Cortex
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A fundamental challenge in establishing a functional delineation of this process in the brain is that each linguistic process tends to correlate with numerous others. ...
Coherent language production requires that speakers adapt words to their grammatical contexts. ...
Notes We thank Alec Marantz for discussion and Laura Gwilliams, Graham Flick, and Samir Reddigari for their assistance with representational similarity analysis. ...
doi:10.1093/cercor/bhab309
pmid:34515304
pmcid:PMC9016284
fatcat:g2fd6cqs2bcnbehesvg5ipl7lm
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