Literature DB >> 1489655

Magnetoencephalography: a tool for functional brain imaging.

M S Hämäläinen1.   

Abstract

At present, one of the most promising windows to the functional organization of the human brain is magnetoencephalography (MEG). By mapping the magnetic field distribution outside the head the sites of neural events can be located with an accuracy of a few millimeters and the temporal evolution of the activation can be traced with a millisecond resolution. This paper reviews some forward field calculation approaches suitable for the interpretation of the brain's electromagnetic signals. Inverse modelling with multiple dipoles is described in detail. An example of the analysis of the somatosensory evoked-responses illustrates the potential of multiple signal classification (MUSIC) algorithm in finding optimal dipole positions.

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Year:  1992        PMID: 1489655     DOI: 10.1007/bf01129036

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  16 in total

1.  Multiple dipole modeling and localization from spatio-temporal MEG data.

Authors:  J C Mosher; P S Lewis; R M Leahy
Journal:  IEEE Trans Biomed Eng       Date:  1992-06       Impact factor: 4.538

2.  The estimation of time varying dipoles on the basis of evoked potentials.

Authors:  J C De Munck
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1990 Mar-Apr

3.  On bioelectric potentials in an inhomogeneous volume conductor.

Authors:  D B Geselowitz
Journal:  Biophys J       Date:  2008-12-31       Impact factor: 4.033

4.  Magnetic fields of a dipole in special volume conductor shapes.

Authors:  B N Cuffin; D Cohen
Journal:  IEEE Trans Biomed Eng       Date:  1977-07       Impact factor: 4.538

Review 5.  Neuromagnetic functional localization: principles, state of the art, and perspectives.

Authors:  G L Romani; P Rossini
Journal:  Brain Topogr       Date:  1988       Impact factor: 3.020

6.  Effect of inhomogeneities on the apparent location and magnitude of a cardiac current dipole source.

Authors:  R M Arthur; D B Geselowitz
Journal:  IEEE Trans Biomed Eng       Date:  1970-04       Impact factor: 4.538

7.  Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data.

Authors:  M S Hämäläinen; J Sarvas
Journal:  IEEE Trans Biomed Eng       Date:  1989-02       Impact factor: 4.538

8.  Somatosensory evoked cerebral magnetic fields from SI and SII in man.

Authors:  R Hari; K Reinikainen; E Kaukoranta; M Hämäläinen; R Ilmoniemi; A Penttinen; J Salminen; D Teszner
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1984-03

9.  Magnetic field tomography of coherent thalamocortical 40-Hz oscillations in humans.

Authors:  U Ribary; A A Ioannides; K D Singh; R Hasson; J P Bolton; F Lado; A Mogilner; R Llinás
Journal:  Proc Natl Acad Sci U S A       Date:  1991-12-15       Impact factor: 11.205

Review 10.  Advantages and limitations of magnetic source imaging.

Authors:  S J Williamson; Z L Lü; D Karron; L Kaufman
Journal:  Brain Topogr       Date:  1991       Impact factor: 3.020

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  29 in total

Review 1.  Integrated presentation of multimodal brain images.

Authors:  M A Viergever; P A van den Elsen; R Stokking
Journal:  Brain Topogr       Date:  1992       Impact factor: 3.020

2.  Concordance of MEG and fMRI patterns in adolescents during verb generation.

Authors:  Yingying Wang; Scott K Holland; Jennifer Vannest
Journal:  Brain Res       Date:  2012-02-09       Impact factor: 3.252

3.  The virtual brain integrates computational modeling and multimodal neuroimaging.

Authors:  Petra Ritter; Michael Schirner; Anthony R McIntosh; Viktor K Jirsa
Journal:  Brain Connect       Date:  2013

4.  Spatial correlation of hemodynamic changes related to interictal epileptic discharges with electric and magnetic source imaging.

Authors:  Marcel Heers; Tanguy Hedrich; Dongmei An; François Dubeau; Jean Gotman; Christophe Grova; Eliane Kobayashi
Journal:  Hum Brain Mapp       Date:  2014-02-24       Impact factor: 5.038

Review 5.  Models of source currents in the brain.

Authors:  R J Ilmoniemi
Journal:  Brain Topogr       Date:  1993       Impact factor: 3.020

6.  Cortical swallowing processing in early subacute stroke.

Authors:  Inga K Teismann; Sonja Suntrup; Tobias Warnecke; Olaf Steinsträter; Maren Fischer; Agnes Flöel; E Bernd Ringelstein; Christo Pantev; Rainer Dziewas
Journal:  BMC Neurol       Date:  2011-03-11       Impact factor: 2.474

7.  Investigating causality between interacting brain areas with multivariate autoregressive models of MEG sensor data.

Authors:  George Michalareas; Jan-Mathijs Schoffelen; Gavin Paterson; Joachim Gross
Journal:  Hum Brain Mapp       Date:  2012-02-13       Impact factor: 5.038

8.  Tactile thermal oral stimulation increases the cortical representation of swallowing.

Authors:  Inga K Teismann; Olaf Steinsträter; Tobias Warnecke; Sonja Suntrup; Erich B Ringelstein; Christo Pantev; Rainer Dziewas
Journal:  BMC Neurosci       Date:  2009-06-30       Impact factor: 3.288

9.  Relationship between the velocity of illusory hand movement and strength of MEG signals in human primary motor cortex and left angular gyrus.

Authors:  Laurence Casini; Jean-Pierre Roll; Patricia Romaiguère
Journal:  Exp Brain Res       Date:  2008-03-04       Impact factor: 1.972

10.  Cortical thinning in obsessive compulsive disorder.

Authors:  Yong-Wook Shin; So Young Yoo; Jun Ki Lee; Tae Hyon Ha; Kyung Jin Lee; Jong Min Lee; In Young Kim; Sun I Kim; Jun Soo Kwon
Journal:  Hum Brain Mapp       Date:  2007-11       Impact factor: 5.038

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