Literature DB >> 8262533

Method to reduce blur distortion from EEG's using a realistic head model.

J Le1, A Gevins.   

Abstract

A mathematical procedure, which we call "Deblurring," was developed to reduce spatial blur distortion of scalp-recorded brain potentials due to transmission through the skull and other tissues. Deblurring estimates potentials at the superficial cerebral cortical surface from EEG's recorded at the scalp using a finite element model of each subject's scalp, skull and cortical surface constructed from their magnetic resonance images (MRI's). Simulations indicate that Deblurring is numerically stable, while a comparison of deblurred data with a direct cortical recording from a neurosurgery patient suggests that the procedure is valid. Application of Deblurring to somatosensory evoked potential data recorded at 124 scalp sites suggests that the method produces a dramatic improvement in spatial detail, and merits further development.

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Year:  1993        PMID: 8262533     DOI: 10.1109/10.237671

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  23 in total

1.  Electroencephalographic imaging of higher brain function.

Authors:  A Gevins; M E Smith; L K McEvoy; H Leong; J Le
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-07-29       Impact factor: 6.237

2.  Measuring phase synchrony in brain signals.

Authors:  J P Lachaux; E Rodriguez; J Martinerie; F J Varela
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

3.  High-resolution electro-encephalogram: source estimates of Laplacian-transformed somatosensory-evoked potentials using a realistic subject head model constructed from magnetic resonance images.

Authors:  F Babiloni; C Babiloni; L Locche; F Cincotti; P M Rossini; F Carducci
Journal:  Med Biol Eng Comput       Date:  2000-09       Impact factor: 2.602

Review 4.  Spatial-temporal structures of human alpha rhythms: theory, microcurrent sources, multiscale measurements, and global binding of local networks.

Authors:  P L Nunez; B M Wingeier; R B Silberstein
Journal:  Hum Brain Mapp       Date:  2001-07       Impact factor: 5.038

5.  Linear inverse source estimate of combined EEG and MEG data related to voluntary movements.

Authors:  F Babiloni; F Carducci; F Cincotti; C Del Gratta; V Pizzella; G L Romani; P M Rossini; F Tecchio; C Babiloni
Journal:  Hum Brain Mapp       Date:  2001-12       Impact factor: 5.038

6.  A cortical potential imaging study from simultaneous extra- and intracranial electrical recordings by means of the finite element method.

Authors:  Yingchun Zhang; Lei Ding; Wim van Drongelen; Kurt Hecox; David M Frim; Bin He
Journal:  Neuroimage       Date:  2006-05-02       Impact factor: 6.556

7.  Resistor mesh model of a spherical head: part 2: a review of applications to cortical mapping.

Authors:  N Chauveau; J P Morucci; X Franceries; P Celsis; B Rigaud
Journal:  Med Biol Eng Comput       Date:  2005-11       Impact factor: 2.602

Review 8.  Integration of EEG/MEG with MRI and fMRI.

Authors:  Zhongming Liu; Lei Ding; Bin He
Journal:  IEEE Eng Med Biol Mag       Date:  2006 Jul-Aug

9.  Cortical network dynamics during foot movements.

Authors:  Fabrizio De Vico Fallani; Laura Astolfi; Febo Cincotti; Donatella Mattia; Maria Grazia Marciani; Andrea Tocci; Serenella Salinari; Herbert Witte; Wolfram Hesse; Shangkai Gao; Alfredo Colosimo; Fabio Babiloni
Journal:  Neuroinformatics       Date:  2008-02-12

10.  Motor units in the human medial gastrocnemius muscle are not spatially localized or functionally grouped.

Authors:  Martin E Héroux; Harrison J Brown; J Timothy Inglis; Gunter P Siegmund; Jean-Sébastien Blouin
Journal:  J Physiol       Date:  2015-08-15       Impact factor: 5.182

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