Literature DB >> 3597171

The effect of brain function on coherence patterns in the bipolar EEG.

Z J Koles, P Flor-Henry.   

Abstract

Studies of the functional organization of the brain based on measurements of coherence in the EEG have, in the past, suffered from a methodological defect which has made interpretation of the results difficult. The effect involved is the use of an active common reference for the recording of the EEG. As a consequence, inferences related to the functional connectivity of brain between the non-referential sites using coherence have probably been wrong. To avoid the problem with the common reference, we have used bipolar derivations of the EEG and used measurements of coherence to reflect synchrony not between individual sites but between regions of the brain. The EEGs in a population of normal volunteers were examined with respect to coherence. Changes in the patterning of coherence were induced by utilizing EEGs from the volunteers during 3 different functional brain states. The first of these was the resting state, the second the verbal motor state and the third, the spatial motor state. The stepwise discriminant analysis method was used to study differences in the patterning of coherences in the 3 states. The results show that the spatial motor state was the most distinct in this regard amongst the 3 states. They results also interpreted as indicating that changes in the patterning of coherence from that in the resting state consisted of both functionally specific and functionally non-specific components.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1987        PMID: 3597171     DOI: 10.1016/0167-8760(87)90073-0

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  2 in total

1.  EEG coherence and reference signals: experimental results and mathematical explanations.

Authors:  M Essl; P Rappelsberger
Journal:  Med Biol Eng Comput       Date:  1998-07       Impact factor: 2.602

2.  An EEG Study of a Confusing State Induced by Information Insufficiency during Mathematical Problem-Solving and Reasoning.

Authors:  Ye Liang; Xiaojian Liu; Lemiao Qiu; Shuyou Zhang
Journal:  Comput Intell Neurosci       Date:  2018-07-25
  2 in total

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