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Genuine and Spurious Phase Synchronization Strengths during Consciousness and General Anesthesia

Overview of attention for article published in PLOS ONE, October 2012
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Title
Genuine and Spurious Phase Synchronization Strengths during Consciousness and General Anesthesia
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046313
Pubmed ID
Authors

UnCheol Lee, HeonSoo Lee, Markus Müller, Gyu-Jeong Noh, George A. Mashour

Abstract

Spectral content in a physiological dataset of finite size has the potential to produce spurious measures of coherence. This is especially true for electroencephalography (EEG) during general anesthesia because of the significant alteration of the power spectrum. In this study we quantitatively evaluated the genuine and spurious phase synchronization strength (PSS) of EEG during consciousness, general anesthesia, and recovery. A computational approach based on the randomized data method was used for evaluating genuine and spurious PSS. The validity of the method was tested with a simulated dataset. We applied this method to the EEG of normal subjects undergoing general anesthesia and investigated the finite size effects of EEG references, data length and spectral content on phase synchronization. The most influential factor for genuine PSS was the type of EEG reference; the most influential factor for spurious PSS was the spectral content. Genuine and spurious PSS showed characteristic temporal patterns for each frequency band across consciousness and anesthesia. Simultaneous measurement of both genuine and spurious PSS during general anesthesia is necessary in order to avoid incorrect interpretations regarding states of consciousness.

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The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
France 1 2%
Brazil 1 2%
Canada 1 2%
Spain 1 2%
Unknown 40 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 29%
Student > Ph. D. Student 10 22%
Professor > Associate Professor 4 9%
Student > Master 4 9%
Student > Postgraduate 3 7%
Other 5 11%
Unknown 6 13%
Readers by discipline Count As %
Medicine and Dentistry 11 24%
Neuroscience 6 13%
Agricultural and Biological Sciences 5 11%
Physics and Astronomy 5 11%
Engineering 4 9%
Other 6 13%
Unknown 8 18%