Literature DB >> 21067971

Respiratory-related evoked potential measurements using high-density electroencephalography.

Andreas von Leupoldt1, Andreas Keil, Paul W Davenport.   

Abstract

OBJECTIVE: The respiratory-related evoked potential (RREP) has become an established technique for studying the neural processing of respiratory signals. However, the increasing availability of high-density EEG systems necessitates new criteria for obtaining acceptable RREPs with these systems.
METHODS: The present study examined the minimum criteria for the number of inspiratory occlusions that need to be averaged in order to obtain a signal-to-noise ratio of 2:1 (3 dB) for the RREP components Nf, P1, N1, P2 and P3 with a 129 sensor high-density EEG system in 12 healthy volunteers. RREPs resulting from averaging 8, 16, 32 and 64 inspiratory occlusions were compared.
RESULTS: Analyses of signal-to-noise ratios demonstrated that a minimum of 32 and 16 inspiratory occlusions should be averaged for Nf and P1, respectively. For N1, P2, and P3, an average of at least 8 inspiratory occlusions is required. However, to account for inter-individual variability, 64 averaged occlusions for Nf, 32 averaged occlusions for P1, and 16 averaged occlusions for N1, P2, and P3 are recommended which more reliably exceed the signal-to-noise threshold.
CONCLUSIONS: These numbers provide the minimum and the recommended criteria for reliable measurements of the RREP for an adequate number of repeated occlusion epochs to be averaged in order to yield a reliable signal-to-noise ratio using a 129 sensor EEG system. SIGNIFICANCE: The present study provides minimum and recommended criteria for obtaining acceptable RREPs with high-density EEG systems.
Copyright © 2010 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 21067971      PMCID: PMC3053059          DOI: 10.1016/j.clinph.2010.10.031

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  11 in total

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2.  Effects of upper airway anaesthesia on respiratory-related evoked potentials in humans.

Authors:  S Redolfi; M Raux; C Donzel-Raynaud; C Morelot-Panzini; M Zelter; J-P Derenne; T Similowski; C Straus
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Authors:  Paul W Davenport; Pei-Ying Sarah Chan; Weirong Zhang; Yang-Ling Chou
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Journal:  Opt Lett       Date:  1990-10-01       Impact factor: 3.776

Review 5.  Respiratory related evoked potential measures of cerebral cortical respiratory information processing.

Authors:  Pei-Ying Sarah Chan; Paul W Davenport
Journal:  Biol Psychol       Date:  2010-02-24       Impact factor: 3.251

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7.  The impact of emotion on respiratory-related evoked potentials.

Authors:  Andreas Von Leupoldt; Andrea Vovk; Margaret M Bradley; Andreas Keil; Peter J Lang; Paul W Davenport
Journal:  Psychophysiology       Date:  2010-01-07       Impact factor: 4.016

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Authors:  A Harver; N K Squires; E Bloch-Salisbury; E S Katkin
Journal:  Psychophysiology       Date:  1995-03       Impact factor: 4.016

10.  Cortical sources of the respiratory-related evoked potential.

Authors:  Andreas von Leupoldt; Andreas Keil; Pei-Ying S Chan; Margaret M Bradley; Peter J Lang; Paul W Davenport
Journal:  Respir Physiol Neurobiol       Date:  2009-12-28       Impact factor: 1.931

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  2 in total

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Authors:  Andreas von Leupoldt; Margaret M Bradley; Peter J Lang; Paul W Davenport
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2.  The effect of anxiety on brain activation patterns in response to inspiratory occlusions: an fMRI study.

Authors:  Pei-Ying S Chan; Yu-Ting Wu; Ai-Ling Hsu; Chia-Wei Li; Changwei W Wu; Andreas von Leupoldt; Shih-Chieh Hsu
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