Literature DB >> 11585047

A statistical technique for measuring synchronism between cortical regions in the EEG during rhythmic stimulation.

A Mauricio1, F L Miranda de Sá, A F Infantosi, D M Simpson.   

Abstract

The coherence function has been widely applied in quantifying the degree of synchronism between electroencephalogram (EEG) signals obtained from different brain regions. However, when applied to investigating synchronization resulting from rhythmic stimulation, misleading results can arise from the high correlation of background EEG activity. We, thus propose a modified measure, which emphasizes the synchronized stimulus responses and reduces the influence of the spontaneous EEG activity. Critical values for this estimator are derived and tested in Monte Carlo simulations. The effectiveness of the method is illustrated on data recorded from 12 young normal subjects during rhythmic photic stimulation.

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Year:  2001        PMID: 11585047     DOI: 10.1109/10.951526

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

1.  Coherence between one random and one periodic signal for measuring the strength of responses in the electro-encephalogram during sensory stimulation.

Authors:  de Sá A M F L Miranda; A F C Infantosi; D M Simpson
Journal:  Med Biol Eng Comput       Date:  2002-01       Impact factor: 2.602

2.  Evaluating the relationship of non-phase locked activities in the electroencephalogram during intermittent stimulation: a partial coherence-based approach.

Authors:  Antonio Mauricio F L Miranda de Sá; Antonio Fernando C Infantosi
Journal:  Med Biol Eng Comput       Date:  2007-07-05       Impact factor: 2.602

3.  Reduced interhemispheric connectivity in childhood autism detected by electroencephalographic photic driving coherence.

Authors:  Vladimir V Lazarev; Adailton Pontes; Andrey A Mitrofanov; Leonardo C deAzevedo
Journal:  J Autism Dev Disord       Date:  2015-02

4.  Voxel-wise detection of functional networks in white matter.

Authors:  Yali Huang; Stephen K Bailey; Peiguang Wang; Laurie E Cutting; John C Gore; Zhaohua Ding
Journal:  Neuroimage       Date:  2018-08-23       Impact factor: 6.556

  4 in total

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