Literature DB >> 26484893

Alpha, delta and theta rhythms in a neural net model. Comparison with MEG data.

A Kotini1, P Anninos2.   

Abstract

The aim of this study is to provide information regarding the comparison of a neural model to MEG measurements. Our study population consisted of 10 epileptic patients and 10 normal subjects. The epileptic patients had high MEG amplitudes characterized with θ (4-7 Hz) or δ (2-3 Hz) rhythms and absence of α-rhythm (8-13 Hz). The statistical analysis of such activities corresponded to Poisson distribution. Conversely, the MEG from normal subjects had low amplitudes, higher frequencies and presence of α-rhythm (8-13 Hz). Such activities were not synchronized and their distributions were Gauss. These findings were in agreement with our theoretical neural model. The comparison of the neural network with MEG data provides information about the status of brain function in epileptic and normal states.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gauss connectivity; MEG; Neural net model; Poisson connectivity

Mesh:

Year:  2015        PMID: 26484893     DOI: 10.1016/j.jtbi.2015.10.005

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  1 in total

1.  The Effects of Sweet, Bitter, Salty and Sour Stimuli on Alpha Rhythm. A Meg Study.

Authors:  Athanasia Kotini; Photios Anninos; Triandafillos Gemousakakis; Adam Adamopoulos
Journal:  Maedica (Bucur)       Date:  2016-09
  1 in total

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