Topographic distribution of temporal self-similarity properties of human sleep EEG recordings
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1
Pázmány Péter Catholic University, Hungary
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2
National Institute of Neurosurgery, Hungary
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3
Institute of Behavioural Sciences, Semmelweis University, Hungary
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4
Computer and Automation Research Institute, Hungarian Academy of Sciences, Hungary
The aim of the study was to assess self-similarity properties (SSP) of the human EEG during sleep. The study was based on whole-night sleep recordings from 10 healthy subjects (five males, five females). SSP of the EEG was assessed by calculating the Hurst exponent (H) for 20 s long epochs with 19s overlaps for each of the 18 scalp electrodes. To compare SSP during different sleep stages 90 epochs of 20 s length were chosen from sleep stages NREM2, NREM4 and REM. At the group level statistical analysis revealed significantly higher H values (p<0.01) during NREM4 when compared to NREM2 and REM at each recording sites. H values also tended to be higher during NREM2 than REM however this difference did not reach significancy. Difference between NREM4 and REM as well as between NREM2 and REM was maximal at central electrode sites. Our results reveal significant influence of both sleep stages and topography on temporal self-similarity properties of the human EEG. These results have important implications for other human applications of the H exponent such as the prediction of seizures in epilepsy patients where these influences were largely neglected so far.
Conference:
12th Meeting of the Hungarian Neuroscience Society, Budapest, Hungary, 22 Jan - 24 Jan, 2009.
Presentation Type:
Poster Presentation
Topic:
Research on the cerebral cortex and related structures
Citation:
Weiss
B,
Clemens
Z,
Bodizs
R,
Halasz
P and
Roska
T
(2009). Topographic distribution of temporal self-similarity properties of human sleep EEG recordings.
Front. Syst. Neurosci.
Conference Abstract:
12th Meeting of the Hungarian Neuroscience Society.
doi: 10.3389/conf.neuro.01.2009.04.228
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Received:
09 Mar 2009;
Published Online:
09 Mar 2009.
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Correspondence:
Bela Weiss, Pázmány Péter Catholic University, Budapest, Hungary, weiss@itk.ppke.hu