Sequential effects in EEG data
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1
Department of Psychology, University of Salzburg, Germany
In many EEG-Experiments, the demands on focused attention and cognitive capacity are very high. In this study we analyze data from demanding and/or long lasting experiments, under the hypothesis that drifts in attention and/or cognitive performance show up as significant temporal coherent deviations in the EEG-signal. The results support the hypothesis and we conclude that these significantly deviating periods in the signal reflect altered states of attention and/or cognitive capacity. If these portions of the signal are considered as task irrelevant periods, we can increase the signal to noise ratio for task relevant EEG parameters by removing them before further analysis. Improving this ratio is of particular importance when further signal analysis includes phase analysis in any form.
Keywords:
brain oscillations,
EEG
Conference:
XI International Conference on Cognitive Neuroscience (ICON XI), Palma, Mallorca, Spain, 25 Sep - 29 Sep, 2011.
Presentation Type:
Poster Presentation
Topic:
Poster Sessions: Quantitative Analysis of EEG, MEG & Brain Oscillations
Citation:
Gruber
WR
(2011). Sequential effects in EEG data.
Conference Abstract:
XI International Conference on Cognitive Neuroscience (ICON XI).
doi: 10.3389/conf.fnhum.2011.207.00146
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Received:
17 Nov 2011;
Published Online:
28 Nov 2011.
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Correspondence:
Dr. Walter R Gruber, Department of Psychology, University of Salzburg, Salzburg, Germany, walter.r.gruber@plus.ac.at