Literature DB >> 8357703

Models of source currents in the brain.

R J Ilmoniemi1.   

Abstract

Electroencephalography (EEG) and magnetoencephalography (MEG) provide signals that are weighted integrals of source currents in the brain. In addition to technical aspects, the two methods differ in their sensitivities to various cerebral sources. Moreover, it is more difficult to determine the lead fields of EEG than of MEG. If it can be assumed that only one localized source is active at a particular time, the source location, direction, and amplitude can be found with the dipole model. However, if the assumption of a single localized source is violated, erroneous results are obtained. If a few sources are responsible for the measured fields, multiple-dipole models can be used. In the general case one must start from the fundamentals of estimation theory. The use of a priori information, together with experimental data, will provide the best possible solution to the inverse problem. In the case of minimal prior information, the so-called minimum-norm solution is obtained. With the help of supplementary information, the resolution can be further improved.

Mesh:

Year:  1993        PMID: 8357703     DOI: 10.1007/bf01128686

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


  21 in total

1.  Estimates of visually evoked cortical currents.

Authors:  S P Ahlfors; R J Ilmoniemi; M S Hämäläinen
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1992-03

2.  Magnetic source images determined by a lead-field analysis: the unique minimum-norm least-squares estimation.

Authors:  J Z Wang; S J Williamson; L Kaufman
Journal:  IEEE Trans Biomed Eng       Date:  1992-07       Impact factor: 4.538

3.  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

4.  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

5.  Estimates of neuronal current distributions.

Authors:  R J Ilmoniemi
Journal:  Acta Otolaryngol Suppl       Date:  1991

6.  Somatically evoked magnetic fields of the human brain.

Authors:  D Brenner; J Lipton; L Kaufman; S J Williamson
Journal:  Science       Date:  1978-01-06       Impact factor: 47.728

7.  Electrical sources in human somatosensory cortex: identification by combined magnetic and potential recordings.

Authors:  C C Wood; D Cohen; B N Cuffin; M Yarita; T Allison
Journal:  Science       Date:  1985-03-01       Impact factor: 47.728

8.  Tonotopic organization of the auditory cortex: pitch versus frequency representation.

Authors:  C Pantev; M Hoke; B Lütkenhöner; K Lehnertz
Journal:  Science       Date:  1989-10-27       Impact factor: 47.728

9.  Tonotopic organization of the human auditory cortex.

Authors:  G L Romani; S J Williamson; L Kaufman
Journal:  Science       Date:  1982-06-18       Impact factor: 47.728

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

View more
  14 in total

1.  Spatiotemporal patterns of brain activation during an action naming task using magnetoencephalography.

Authors:  Joshua I Breier; Andrew C Papanicolaou
Journal:  J Clin Neurophysiol       Date:  2008-02       Impact factor: 2.177

2.  Automatic ultrarapid activation and inhibition of cortical motor systems in spoken word comprehension.

Authors:  Yury Shtyrov; Anna Butorina; Anastasia Nikolaeva; Tatiana Stroganova
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-21       Impact factor: 11.205

3.  Thalamocortical sensorimotor circuit in multiple sclerosis: an integrated structural and electrophysiological assessment.

Authors:  Maria Luisa Dell'Acqua; Doriana Landi; Giancarlo Zito; Filippo Zappasodi; Domenico Lupoi; Paolo M Rossini; Maria M Filippi; Franca Tecchio
Journal:  Hum Brain Mapp       Date:  2010-10       Impact factor: 5.038

4.  Rapid extraction of lexical tone phonology in Chinese characters: a visual mismatch negativity study.

Authors:  Xiao-Dong Wang; A-Ping Liu; Yin-Yuan Wu; Peng Wang
Journal:  PLoS One       Date:  2013-02-20       Impact factor: 3.240

5.  Attention to language: novel MEG paradigm for registering involuntary language processing in the brain.

Authors:  Yury Shtyrov; Marie L Smith; Aidan J Horner; Richard Henson; Pradeep J Nathan; Edward T Bullmore; Friedemann Pulvermüller
Journal:  Neuropsychologia       Date:  2012-07-20       Impact factor: 3.139

6.  Ultra-rapid access to words in the brain.

Authors:  Lucy J MacGregor; Friedemann Pulvermüller; Maarten van Casteren; Yury Shtyrov
Journal:  Nat Commun       Date:  2012-02-28       Impact factor: 14.919

7.  Fast mapping of novel word forms traced neurophysiologically.

Authors:  Yury Shtyrov
Journal:  Front Psychol       Date:  2011-11-21

8.  Neural dynamics of speech act comprehension: an MEG study of naming and requesting.

Authors:  Natalia Egorova; Friedemann Pulvermüller; Yury Shtyrov
Journal:  Brain Topogr       Date:  2013-11-20       Impact factor: 3.020

9.  Spatiotemporal signatures of large-scale synfire chains for speech processing as revealed by MEG.

Authors:  Friedemann Pulvermüller; Yury Shtyrov
Journal:  Cereb Cortex       Date:  2008-05-05       Impact factor: 5.357

10.  Effects of attention on what is known and what is not: MEG evidence for functionally discrete memory circuits.

Authors:  Max Garagnani; Yury Shtyrov; Friedemann Pulvermüller
Journal:  Front Hum Neurosci       Date:  2009-06-30       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.