EEG phase reset due to auditory attention: an inverse time-scale approach
Identifieur interne : 000577 ( Main/Exploration ); précédent : 000576; suivant : 000578EEG phase reset due to auditory attention: an inverse time-scale approach
Auteurs : Yin Fen Low [Allemagne] ; Daniel J. Strauss [Allemagne]Source :
- Physiological Measurement [ 0967-3334 ] ; 2009.
English descriptors
- Teeft :
- Alpha activity, Attention data, Auditory, Auditory attention, Auditory stimulus triggers, Brain function, Continuous wavelet, Data sets, Eeg, Ferp, Frequency band, Frequency range, Gruber, Gure, Hanslmayr, Important role, Instantaneous phase, Inverse analysis, Inverse approach, Klimesch, Little change, Main difference, Ongoing, Ongoing frequencies, Ongoing oscillations, Original signal, Oscillation, Other hand, Other studies, Phase concentration, Phase jittering, Phase noise, Phase reorganization, Phase reset, Phase reset process, Phase resetting, Phase stability, Phase stabilization, Real part, Remarkable increase, Reset, Resetting, Results show, Saarland university, Sauseng, Selective attention, Single sweeps, Smaller values, Theta, Theta border, Theta synchronization, Total power, Unattended, Unattended data, Wavelet, Wavelet spectrogram.
Abstract
We propose a novel tool to evaluate the electroencephalograph (EEG) phase reset due to auditory attention by utilizing an inverse analysis of the instantaneous phase for the first time. EEGs were acquired through auditory attention experiments with a maximum entropy stimulation paradigm. We examined single sweeps of auditory late response (ALR) with the complex continuous wavelet transform. The phase in the frequency band that is associated with auditory attention (610 Hz, termed as thetaalpha border) was reset to the mean phase of the averaged EEGs. The inverse transform was applied to reconstruct the phase-modified signal. We found significant enhancement of the N100 wave in the reconstructed signal. Analysis of the phase noise shows the effects of phase jittering on the generation of the N100 wave implying that a preferred phase is necessary to generate the event-related potential (ERP). Power spectrum analysis shows a remarkable increase of evoked power but little change of total power after stabilizing the phase of EEGs. Furthermore, by resetting the phase only at the theta border of no attention data to the mean phase of attention data yields a result that resembles attention data. These results show strong connections between EEGs and ERP, in particular, we suggest that the presentation of an auditory stimulus triggers the phase reset process at the thetaalpha border which leads to the emergence of the N100 wave. It is concluded that our study reinforces other studies on the importance of the EEG in ERP genesis.
Url:
DOI: 10.1088/0967-3334/30/8/007
Affiliations:
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Meas.</title><idno type="ISSN">0967-3334</idno><idno type="eISSN">1361-6579</idno><imprint><publisher>IOP Publishing</publisher><date type="published" when="2009">2009</date><biblScope unit="volume">30</biblScope><biblScope unit="issue">8</biblScope><biblScope unit="page" from="821">821</biblScope><biblScope unit="page" to="832">832</biblScope><biblScope unit="production">Printed in the UK</biblScope></imprint><idno type="ISSN">0967-3334</idno></series><idno type="istex">E8F7B6B63E7136187A01F36E4628C2F4CA766689</idno><idno type="DOI">10.1088/0967-3334/30/8/007</idno><idno type="PII">S0967-3334(09)16035-5</idno><idno type="articleID">316035</idno><idno type="articleNumber">007</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0967-3334</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="Teeft" xml:lang="en"><term>Alpha activity</term><term>Attention data</term><term>Auditory</term><term>Auditory attention</term><term>Auditory stimulus triggers</term><term>Brain function</term><term>Continuous wavelet</term><term>Data sets</term><term>Eeg</term><term>Ferp</term><term>Frequency band</term><term>Frequency range</term><term>Gruber</term><term>Gure</term><term>Hanslmayr</term><term>Important role</term><term>Instantaneous phase</term><term>Inverse analysis</term><term>Inverse approach</term><term>Klimesch</term><term>Little change</term><term>Main difference</term><term>Ongoing</term><term>Ongoing frequencies</term><term>Ongoing oscillations</term><term>Original signal</term><term>Oscillation</term><term>Other hand</term><term>Other studies</term><term>Phase concentration</term><term>Phase jittering</term><term>Phase noise</term><term>Phase reorganization</term><term>Phase reset</term><term>Phase reset process</term><term>Phase resetting</term><term>Phase stability</term><term>Phase stabilization</term><term>Real part</term><term>Remarkable increase</term><term>Reset</term><term>Resetting</term><term>Results show</term><term>Saarland university</term><term>Sauseng</term><term>Selective attention</term><term>Single sweeps</term><term>Smaller values</term><term>Theta</term><term>Theta border</term><term>Theta synchronization</term><term>Total power</term><term>Unattended</term><term>Unattended data</term><term>Wavelet</term><term>Wavelet spectrogram</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">We propose a novel tool to evaluate the electroencephalograph (EEG) phase reset due to auditory attention by utilizing an inverse analysis of the instantaneous phase for the first time. EEGs were acquired through auditory attention experiments with a maximum entropy stimulation paradigm. We examined single sweeps of auditory late response (ALR) with the complex continuous wavelet transform. The phase in the frequency band that is associated with auditory attention (610 Hz, termed as thetaalpha border) was reset to the mean phase of the averaged EEGs. The inverse transform was applied to reconstruct the phase-modified signal. We found significant enhancement of the N100 wave in the reconstructed signal. Analysis of the phase noise shows the effects of phase jittering on the generation of the N100 wave implying that a preferred phase is necessary to generate the event-related potential (ERP). Power spectrum analysis shows a remarkable increase of evoked power but little change of total power after stabilizing the phase of EEGs. Furthermore, by resetting the phase only at the theta border of no attention data to the mean phase of attention data yields a result that resembles attention data. These results show strong connections between EEGs and ERP, in particular, we suggest that the presentation of an auditory stimulus triggers the phase reset process at the thetaalpha border which leads to the emergence of the N100 wave. It is concluded that our study reinforces other studies on the importance of the EEG in ERP genesis.</div></front></TEI><affiliations><list><country><li>Allemagne</li></country></list><tree><country name="Allemagne"><noRegion><name sortKey="Low, Yin Fen" sort="Low, Yin Fen" uniqKey="Low Y" first="Yin Fen" last="Low">Yin Fen Low</name></noRegion><name sortKey="Low, Yin Fen" sort="Low, Yin Fen" uniqKey="Low Y" first="Yin Fen" last="Low">Yin Fen Low</name><name sortKey="Strauss, Daniel J" sort="Strauss, Daniel J" uniqKey="Strauss D" first="Daniel J" last="Strauss">Daniel J. Strauss</name><name sortKey="Strauss, Daniel J" sort="Strauss, Daniel J" uniqKey="Strauss D" first="Daniel J" last="Strauss">Daniel J. Strauss</name><name sortKey="Strauss, Daniel J" sort="Strauss, Daniel J" uniqKey="Strauss D" first="Daniel J" last="Strauss">Daniel J. Strauss</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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