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Correlation of Sensorimotor Activation with Functional Magnetic Resonance Imaging and Magnetoencephalography in Presurgical Functional Imaging: A Spatial Analysis

Helmut Kober, Christopher Nimsky, Martin Möller, Peter Hastreiter, Rudolf Fahlbusch, Oliver Ganslandt
2001 NeuroImage  
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]

M.V. Silva, F. Maestu, A. Castro
2011 Magnetoencephalography  
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

M. Hassan, L. Chaton, P. Benquet, A. Delval, C. Leroy, L. Plomhause, A.J.H. Moonen, A.A. Duits, A.F.G. Leentjens, V. van Kranen-Mastenbroek, L. Defebvre, P. Derambure (+2 others)
2017 NeuroImage: Clinical  
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

George C. O'Neill, Prejaas K. Tewarie, Giles L. Colclough, Lauren E. Gascoyne, Benjamin A.E. Hunt, Peter G. Morris, Mark W. Woolrich, Matthew J. Brookes
2017 NeuroImage  
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),  ... 
doi:10.1016/j.neuroimage.2016.08.061 pmid:27639354 pmcid:PMC5312793 fatcat:u33vef7c5ra2bc7dw33bys2caa

Adaptive neural network classifier for decoding MEG signals

Ivan Zubarev, Rasmus Zetter, Hanna-Leena Halme, Lauri Parkkonen
2019 NeuroImage  
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

Eric Larson, Adrian K. C. Lee
2014 Frontiers in Human Neuroscience  
., 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

Pieter van Mierlo, Yvonne Höller, Niels K. Focke, Serge Vulliemoz
2019 Frontiers in Neurology  
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

Esti Blanco-Elorrieta, Victor S. Ferreira, Paul Del Prato, Liina Pylkkänen
2018 Cognition  
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]

Alexei Ossadtchi, Dmitriy Altukhov, Karim Jerbi
2017 bioRxiv   pre-print
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

Robert Oostenveld, Pascal Fries, Eric Maris, Jan-Mathijs Schoffelen
2011 Computational Intelligence and Neuroscience  
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

Liina Pylkkänen, Douglas K. Bemis, Estibaliz Blanco Elorrieta
2014 Cognition  
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

Jesse Harris, Liina Pylkkänen, Brian McElree, Steven Frisson
2008 Brain and Language  
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?

Lau M. Andersen, Karim Jerbi, Sarang S. Dalal
2020 NeuroImage  
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]

Yin Song, Farouk S. Nathoo, Arif Babul
2019 arXiv   pre-print
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

Miriam Hauptman, Esti Blanco-Elorrieta, Liina Pylkkänen
2021 Cerebral Cortex  
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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