Literature DB >> 15242672

Magnetoencephalography and its Achilles' heel.

Bernd Lütkenhöner1.   

Abstract

Magnetoencephalography (MEG) has practically unlimited temporal resolution. Fundamental physical reasons, however, restrict the capability of MEG to separate simultaneously active sources. After a brief tutorial introduction into MEG, various aspects of spatial resolution are reviewed with the help of examples. First the estimation of a single current dipole is examined. A consideration of the resolution field shows that the spatial selectivity of the estimated dipole moment is highly dependent on methodological issues. A subsequent consideration of various two-dipole configurations illustrates how the topography of the magnetic field depends on the distance between the two dipoles and their relative orientations. The resolution fields associated with the estimation of the dipole moments reveal a strong interference for closely spaced dipoles. A simple model suggests that the standard deviations of the estimated moments are inversely proportional to the distance of the dipoles. Spatial information provided by techniques like functional magnetic resonance imaging (fMRI) could help to overcome problems resulting from the limited spatial resolution of MEG (multimodal integration). But a straightforward synthesis, according to the principle that fMRI provides the spatial structure of the sources and MEG adds the temporal information, is probably doomed to failure in many situations. A serious dilemma, among other problems, is that the fMRI signal generally represents a temporal integral over several seconds: The knowledge that a certain brain region was active sometime or other is not necessarily helpful for disentangling the MEG activity within a specified short time window. An intriguing fact is that the spatio-temporal pattern of the MEG signals can be considered as a signature of the brain which is suitable for hypothesis testing with high temporal and spatial resolution.

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Year:  2003        PMID: 15242672     DOI: 10.1016/j.jphysparis.2004.01.020

Source DB:  PubMed          Journal:  J Physiol Paris        ISSN: 0928-4257


  13 in total

1.  Processing asymmetry of transitions between order and disorder in human auditory cortex.

Authors:  Maria Chait; David Poeppel; Alain de Cheveigné; Jonathan Z Simon
Journal:  J Neurosci       Date:  2007-05-09       Impact factor: 6.167

2.  Auditory temporal edge detection in human auditory cortex.

Authors:  Maria Chait; David Poeppel; Jonathan Z Simon
Journal:  Brain Res       Date:  2008-04-08       Impact factor: 3.252

3.  Improving the interpretability of all-to-all pairwise source connectivity analysis in MEG with nonhomogeneous smoothing.

Authors:  Jan-Mathijs Schoffelen; Joachim Gross
Journal:  Hum Brain Mapp       Date:  2011-03       Impact factor: 5.038

4.  Encoding of nested levels of acoustic regularity in hierarchically organized areas of the human auditory cortex.

Authors:  Marc Recasens; Sabine Grimm; Andreas Wollbrink; Christo Pantev; Carles Escera
Journal:  Hum Brain Mapp       Date:  2014-07-04       Impact factor: 5.038

5.  Local entrainment of α oscillations by visual stimuli causes cyclic modulation of perception.

Authors:  Eelke Spaak; Floris P de Lange; Ole Jensen
Journal:  J Neurosci       Date:  2014-03-05       Impact factor: 6.167

6.  Partial independence of bioelectric and biomagnetic fields and its implications for encephalography and cardiography.

Authors:  Andrei Irimia; Kenneth R Swinney; John P Wikswo
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-05-13

7.  Divergent cortical generators of MEG and EEG during human sleep spindles suggested by distributed source modeling.

Authors:  Nima Dehghani; Sydney S Cash; Chih C Chen; Donald J Hagler; Mingxiong Huang; Anders M Dale; Eric Halgren
Journal:  PLoS One       Date:  2010-07-07       Impact factor: 3.240

8.  Simulating human sleep spindle MEG and EEG from ion channel and circuit level dynamics.

Authors:  B Q Rosen; G P Krishnan; P Sanda; M Komarov; T Sejnowski; N Rulkov; I Ulbert; L Eross; J Madsen; O Devinsky; W Doyle; D Fabo; S Cash; M Bazhenov; E Halgren
Journal:  J Neurosci Methods       Date:  2018-10-06       Impact factor: 2.390

9.  EEG and MEG data analysis in SPM8.

Authors:  Vladimir Litvak; Jérémie Mattout; Stefan Kiebel; Christophe Phillips; Richard Henson; James Kilner; Gareth Barnes; Robert Oostenveld; Jean Daunizeau; Guillaume Flandin; Will Penny; Karl Friston
Journal:  Comput Intell Neurosci       Date:  2011-03-06

10.  High gamma cortical processing of continuous speech in younger and older listeners.

Authors:  Joshua P Kulasingham; Christian Brodbeck; Alessandro Presacco; Stefanie E Kuchinsky; Samira Anderson; Jonathan Z Simon
Journal:  Neuroimage       Date:  2020-08-21       Impact factor: 6.556

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