| Respiratory-related evoked potential measurements using high-density electroencephalography. | |
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MedLine Citation:
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PMID: 21067971 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Andreas von Leupoldt; Andreas Keil; Paul W Davenport |
Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't Date: 2010-11-09 |
Journal Detail:
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Title: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Volume: 122 ISSN: 1872-8952 ISO Abbreviation: Clin Neurophysiol Publication Date: 2011 Apr |
Date Detail:
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Created Date: 2011-03-09 Completed Date: 2011-05-17 Revised Date: 2012-04-04 |
Medline Journal Info:
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Nlm Unique ID: 100883319 Medline TA: Clin Neurophysiol Country: Netherlands |
Other Details:
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Languages: eng Pagination: 815-8 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved. |
Affiliation:
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Department of Physiological Sciences, University of Florida, Gainesville, USA. andreas.vonleupoldt@uni-hamburg.de |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Data Interpretation, Statistical Electroencephalography / methods*, statistics & numerical data Evoked Potentials / physiology* Female Humans Male Reproducibility of Results Respiratory Mechanics / physiology* Young Adult |
| Grant Support | |
ID/Acronym/Agency:
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P50 MH 72850/MH/NIMH NIH HHS; P50 MH072850-05/MH/NIMH NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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