Literature DB >> 15708644

Adjusting EEG coherence for inter-electrode distance effects: an exploration in normal children.

Robert J Barry1, Adam R Clarke, Rory McCarthy, Mark Selikowitz.   

Abstract

Electroencephalographic (EEG) coherence between two points is strongly related to the distance between them, being inflated by volume conduction effects at short distances and reduced by signal phase differences at larger distances. This precludes simple comparison of coherence estimates involving different inter-electrode distances. We investigated adjusting coherence measures to remove such distance effects. After subtracting the estimated effects of random coherence due to volume conduction, exponential regression of the reduced coherence values against measured inter-electrode distance was used to estimate the remaining effects of inter-electrode distance. Residuals from this procedure were taken as coherences corrected for the systematic distance effects. These were adjusted to the mean reduced coherence level to avoid complexities in conceptualising negative residual coherences. It was found that systematic inter-electrode distance effects accounted for more than 50% of the variance remaining after removal of random coherence estimates. After these were also removed, substantial effects of EEG frequency band, different regions of the brain, and interhemispheric versus intrahemispheric values, as well as laterality effects within the latter, were obtained. Regional and frequency differences in adjusted coherence appear to reflect patterns expected from normal cortical development, but detailed understanding of more complex interactive effects is limited by the lack of relevant developmental data. Adjusting coherence values to remove systematic variability due to inter-electrode distances better represents cortico-cortical coupling and allows more efficient statistical analysis. This may contribute towards a better integration of coherence data in the EEG exploration of both normal and atypical brain functioning.

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Year:  2005        PMID: 15708644     DOI: 10.1016/j.ijpsycho.2004.09.001

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


  11 in total

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Authors:  Pravitha Ramanand; Margaret C Bruce; Eugene N Bruce
Journal:  Int J Psychophysiol       Date:  2010-05-05       Impact factor: 2.997

2.  Development of cortical connections as measured by EEG coherence and phase delays.

Authors:  Robert W Thatcher; Duane M North; Carl J Biver
Journal:  Hum Brain Mapp       Date:  2008-12       Impact factor: 5.038

3.  Heritability of EEG coherence in a large sib-pair population.

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4.  Effects of early intervention on EEG power and coherence in previously institutionalized children in Romania.

Authors:  Peter J Marshall; Bethany C Reeb; Nathan A Fox; Charles A Nelson; Charles H Zeanah
Journal:  Dev Psychopathol       Date:  2008

5.  Developmental trends of theta-beta interelectrode power correlation during resting state in normal children.

Authors:  Ernesto Buiza; Elena I Rodríguez-Martínez; Catarina I Barriga-Paulino; Antonio Arjona; Carlos M Gómez
Journal:  Cogn Neurodyn       Date:  2018-01-25       Impact factor: 5.082

6.  Developmental changes in spontaneous electrocortical activity and network organization from early to late childhood.

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Journal:  Neuroimage       Date:  2015-06-07       Impact factor: 6.556

7.  Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources.

Authors:  Cornelis J Stam; Guido Nolte; Andreas Daffertshofer
Journal:  Hum Brain Mapp       Date:  2007-11       Impact factor: 5.038

8.  Magnetoencephalography and the infant brain.

Authors:  Yu-Han Chen; Joni Saby; Emily Kuschner; William Gaetz; J Christopher Edgar; Timothy P L Roberts
Journal:  Neuroimage       Date:  2019-01-24       Impact factor: 6.556

9.  Using quantitative and analytic EEG methods in the understanding of connectivity in autism spectrum disorders: a theory of mixed over- and under-connectivity.

Authors:  Robert Coben; Iman Mohammad-Rezazadeh; Rex L Cannon
Journal:  Front Hum Neurosci       Date:  2014-02-26       Impact factor: 3.169

10.  Four Channel Multivariate Coherence Training: Development and Evidence in Support of a New Form of Neurofeedback.

Authors:  Robert Coben; Morgan Middlebrooks; Howard Lightstone; Madeleine Corbell
Journal:  Front Neurosci       Date:  2018-10-11       Impact factor: 4.677

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