Literature DB >> 10916164

EEG and implanted sources in the brain.

M van Burik1, M Peters.   

Abstract

Localisation procedures are based on models of the EEG that are relatively simple. The models are based on assumptions and choices of parameters that can be mistaken. Thus, it is crucial to validate the localisation procedures used in EEG. One of the options is to use the data obtained with electrodes that are implanted within the brain of an epileptic patient as part of the pre-surgical evaluation. When one of two neighbouring electrodes is used as a current source and the other as a current sink this can be regarded as a current dipole. The current injected has to be below the threshold for activation of cells. The position of this dipole can be deduced from magnetic resonance or X-ray images. The current dipole gives rise to a potential distribution at the scalp that can be measured by EEG. The measurements can be compared with the potential distribution that is calculated in a forward computation. Another method is to use the measured potential at the scalp to localize the source and to compare the result with the actual position of the dipole. In this paper the measured potential distributions at the scalp due to implanted dipoles were used to evaluate different volume conductor models. Since intracerebral and subdural electrodes were introduced through trephine holes over the fronto-central areas, and the diameter of the holes was rather large, approximately 23 mm, special effort was put into modelling the skull. Two important assumptions could be validated in this study: the electric currents within the head are Ohmic and a dipole can be used to model the induced electric activity of pairs of contacts on subdural electrodes or intra cerebral electrodes.

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Year:  1999        PMID: 10916164     DOI: 10.1076/138134551999121070515ft367

Source DB:  PubMed          Journal:  Arch Physiol Biochem        ISSN: 1381-3455            Impact factor:   4.076


  4 in total

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Authors:  Nadège Roche-Labarbe; Ardalan Aarabi; Guy Kongolo; Catherine Gondry-Jouet; Matthias Dümpelmann; Reinhard Grebe; Fabrice Wallois
Journal:  Hum Brain Mapp       Date:  2008-02       Impact factor: 5.038

2.  Stimulus-dependent spiking relationships with the EEG.

Authors:  Adam C Snyder; Matthew A Smith
Journal:  J Neurophysiol       Date:  2015-06-24       Impact factor: 2.714

3.  What does scalp electroencephalogram coherence tell us about long-range cortical networks?

Authors:  Adam C Snyder; Deepa Issar; Matthew A Smith
Journal:  Eur J Neurosci       Date:  2018-02-13       Impact factor: 3.386

4.  Skull Defects in Finite Element Head Models for Source Reconstruction from Magnetoencephalography Signals.

Authors:  Stephan Lau; Daniel Güllmar; Lars Flemming; David B Grayden; Mark J Cook; Carsten H Wolters; Jens Haueisen
Journal:  Front Neurosci       Date:  2016-04-07       Impact factor: 4.677

  4 in total

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