Literature DB >> 19710370

EEG generator--a model of potentials in a volume conductor.

Lilach Avitan1, Mina Teicher, Moshe Abeles.   

Abstract

EEG generator-a model of potentials in a volume conductor. The potential recorded over the cortex electro-corticogram (ECoG) or over the scalp [electroencephalograph (EEG)] derives from the activity of many sources known as "EEG generators." The recorded amplitude is basically a function of the unitary potential of a generator and the statistical relationship between different EEG generators in the recorded population. In this study, we first suggest a new definition of the EEG generator. We use the theory of potentials in a volume conductor and model the contribution of a single synapse activated to the surface potential. We then model the contribution of the generator to the surface potential. Once the generator and its contribution are well defined, we can quantitatively assess the degree of synchronization among generators. The measures obtained by the model for a real life scenario of a group of generators organized in a specific statistical way were consistent with the expected values that were reported experimentally. The study sheds new light on macroscopic modeling approaches which make use of mean soma membrane potential. We showed major contribution of activity of superficial apical synapses to the ECoG signal recorded relative to lower somatic or basal synapses activity.

Mesh:

Year:  2009        PMID: 19710370     DOI: 10.1152/jn.91143.2008

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  9 in total

Review 1.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

2.  Afferent inputs to cortical fast-spiking interneurons organize pyramidal cell network oscillations at high-gamma frequencies (60-200 Hz).

Authors:  Piotr Suffczynski; Nathan E Crone; Piotr J Franaszczuk
Journal:  J Neurophysiol       Date:  2014-09-10       Impact factor: 2.714

3.  How local is the local field potential?

Authors:  Yoshinao Kajikawa; Charles E Schroeder
Journal:  Neuron       Date:  2011-12-08       Impact factor: 17.173

4.  Modeling the effect of dendritic input location on MEG and EEG source dipoles.

Authors:  Seppo P Ahlfors; Christopher Wreh
Journal:  Med Biol Eng Comput       Date:  2015-04-12       Impact factor: 2.602

5.  Direction of magnetoencephalography sources associated with feedback and feedforward contributions in a visual object recognition task.

Authors:  Seppo P Ahlfors; Stephanie R Jones; Jyrki Ahveninen; Matti S Hämäläinen; John W Belliveau; Moshe Bar
Journal:  Neurosci Lett       Date:  2014-11-20       Impact factor: 3.046

6.  Identifying transcranial magnetic stimulation induced EEG signatures of different neuronal elements in primary motor cortex.

Authors:  Zhen Ni; Sinisa Pajevic; Li Chen; Giorgio Leodori; Felipe Vial; Alexandru V Avram; Yong Zhang; Patrick McGurrin; Leonardo G Cohen; Peter J Basser; Mark Hallett
Journal:  Clin Neurophysiol       Date:  2022-07-04       Impact factor: 4.861

7.  Association between the loudness dependence of auditory evoked potentials and age in patients with schizophrenia and depression.

Authors:  Kuk-In Jang; Sungkean Kim; Chany Lee; Jeong-Ho Chae
Journal:  J Int Med Res       Date:  2022-07       Impact factor: 1.573

8.  Neurovascular Uncoupling: Much Ado about Nothing.

Authors:  Nikos K Logothetis
Journal:  Front Neuroenergetics       Date:  2010-06-02

9.  Quantum theory of mass potentials.

Authors:  Dmitriy Melkonian; Terry Blumenthal; Edward Barin
Journal:  PLoS One       Date:  2018-07-05       Impact factor: 3.240

  9 in total

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