Literature DB >> 11154101

Electromagnetic inverse solutions in anatomically constrained spherical head models.

L Spinelli1, S G Andino, G Lantz, M Seeck, C M Michel.   

Abstract

Two classes of functional neuroimaging methods exist: hemodynamic techniques such as PET and fMRI, and electromagnetic techniques such as EEG/ERP and MEG. In order to fusion these images with anatomical information, co-registration with volumetric MRI is needed. While such co-registration techniques are well established for hemodynamic images, additional steps are needed for electromagnetic recordings, because the activity is only recorded on the scalp surface and inverse solutions based on specific head models have to be used to estimate the 3-dimensional current distribution. To date most of the experimental and clinical studies use multi-shell concentric sphere models of the head, solve the inverse problem on this simplistic model, and then co-register the solution with the MRI using homogeneous transform operations. Contrary to this standard method, we here propose to map the MRI to the spherical system by defining transformation operations that transform the MRI to a best-fitting sphere. Once done so, the solution points are defined in the cerebral tissue of this deformed MRI and the lead field for the distributed linear inverse solutions is calculated for this solution space. The method, that we call SMAC (Spherical Model with Anatomical Constrains) is tested with simulations, as well as with the following real data: 1) estimation of the sources of visual evoked potentials to unilateral stimulation from data averaged over subjects, and 2) localization of interictal discharges of two epileptic patients, one with a temporal, the other with an occipital focus, both confirmed by seizure freedom after resection of the epileptogenic region.

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Year:  2000        PMID: 11154101     DOI: 10.1023/a:1026607118642

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


  41 in total

1.  Rhythm evokes action: early processing of metric deviances in expressive music by experts and laymen revealed by ERP source imaging.

Authors:  Clara E James; Christoph M Michel; Juliane Britz; Patrik Vuilleumier; Claude-Alain Hauert
Journal:  Hum Brain Mapp       Date:  2011-09-20       Impact factor: 5.038

2.  Right parietal brain activity precedes perceptual alternation during binocular rivalry.

Authors:  Juliane Britz; Michael A Pitts; Christoph M Michel
Journal:  Hum Brain Mapp       Date:  2010-08-05       Impact factor: 5.038

3.  Mental imagery of self-location during spontaneous and active self-other interactions: an electrical neuroimaging study.

Authors:  Bérangère Thirioux; Manuel R Mercier; Gérard Jorland; Alain Berthoz; Olaf Blanke
Journal:  J Neurosci       Date:  2010-05-26       Impact factor: 6.167

4.  Age-related changes in visually evoked electrical brain activity.

Authors:  Gijs Plomp; Marina Kunchulia; Michael H Herzog
Journal:  Hum Brain Mapp       Date:  2011-04-29       Impact factor: 5.038

5.  Very early processing of emotional words revealed in temporoparietal junctions of both hemispheres by EEG and TMS.

Authors:  Vincent Rochas; Tonia A Rihs; Nadia Rosenberg; Theodor Landis; Christoph M Michel
Journal:  Exp Brain Res       Date:  2014-02-05       Impact factor: 1.972

6.  Advances in EEG: home video telemetry, high frequency oscillations and electrical source imaging.

Authors:  Anjla C Patel; Rachel C Thornton; Tejal N Mitchell; Andrew W Michell
Journal:  J Neurol       Date:  2016-05-18       Impact factor: 4.849

7.  Impaired early visual response modulations to spatial information in chronic schizophrenia.

Authors:  Jean-François Knebel; Daniel C Javitt; Micah M Murray
Journal:  Psychiatry Res       Date:  2011-07-20       Impact factor: 3.222

8.  Early event-related cortical activity originating in the frontal eye fields and inferior parietal lobe predicts the occurrence of correct and error saccades.

Authors:  Radek Ptak; Christian Camen; Stéphanie Morand; Armin Schnider
Journal:  Hum Brain Mapp       Date:  2011-03       Impact factor: 5.038

9.  Understanding actions of others: the electrodynamics of the left and right hemispheres. A high-density EEG neuroimaging study.

Authors:  Stephanie Ortigue; Corrado Sinigaglia; Giacomo Rizzolatti; Scott T Grafton
Journal:  PLoS One       Date:  2010-08-13       Impact factor: 3.240

10.  The spatio-temporal mapping of epileptic networks: combination of EEG-fMRI and EEG source imaging.

Authors:  S Vulliemoz; R Thornton; R Rodionov; D W Carmichael; M Guye; S Lhatoo; A W McEvoy; L Spinelli; C M Michel; J S Duncan; L Lemieux
Journal:  Neuroimage       Date:  2009-07-01       Impact factor: 6.556

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