| Across-trial averaging of event-related EEG responses and beyond. | |
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MedLine Citation:
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PMID: 18479877 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Internally and externally triggered sensory, motor and cognitive events elicit a number of transient changes in the ongoing electroencephalogram (EEG): event-related brain potentials (ERPs), event-related synchronization and desynchronization (ERS/ERD), and event-related phase resetting (ERPR). To increase the signal-to-noise ratio of event-related brain responses, most studies rely on across-trial averaging in the time domain, a procedure that is, however, blind to a significant fraction of the elicited cortical activity. Here, we outline the key concepts underlying the limitations of time-domain averaging and consider three alternative methodological approaches that have received increasing interest: time-frequency decomposition of the EEG (using the continuous wavelet transform), blind source separation of the EEG (using Independent Component Analysis) and the analysis of event-related brain responses at the level of single trials. In addition, we provide practical guidelines on the implementation of these methods and on the interpretation of the results they produce. |
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Authors:
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A Mouraux; G D Iannetti |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Review Date: 2008-05-13 |
Journal Detail:
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Title: Magnetic resonance imaging Volume: 26 ISSN: 0730-725X ISO Abbreviation: Magn Reson Imaging Publication Date: 2008 Sep |
Date Detail:
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Created Date: 2008-08-11 Completed Date: 2009-01-14 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8214883 Medline TA: Magn Reson Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 1041-54 Citation Subset: IM |
Affiliation:
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Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, Oxford, United Kingdom. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Cortical Synchronization* Electroencephalography* Evoked Potentials / physiology* Humans Signal Processing, Computer-Assisted* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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