Comparison of fractal and power spectral EEG features: Effects of topography and sleep stages

被引:44
|
作者
Weiss, Bela [1 ]
Clemens, Zsofia [2 ]
Bodizs, Robert [3 ,4 ]
Halasz, Peter [1 ]
机构
[1] Pazmany Peter Catholic Univ, Fac Informat Technol, H-1083 Budapest, Hungary
[2] Natl Inst Neurosci, H-1145 Budapest, Hungary
[3] Semmelweis Univ, Inst Behav Sci, H-7089 Budapest, Hungary
[4] HAS BME Cognit Sci Res Grp, H-1111 Budapest, Hungary
关键词
Fractal analysis; Power spectral analysis; Topography; Cross-correlation; Sleep stage classification; RANGE TEMPORAL CORRELATIONS; TIME-SERIES; SCALING BEHAVIOR; INTERHEMISPHERIC DIFFERENCES; CORRELATION DIMENSION; REGIONAL DIFFERENCES; NONLINEAR-ANALYSIS; ALPHA-RHYTHM; DELTA-WAVES; NREM SLEEP;
D O I
10.1016/j.brainresbull.2010.12.005
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Fractal nature of the human sleep EEG was revealed recently. In the literature there are some attempts to relate fractal features to spectral properties. However, a comprehensive assessment of the relationship between fractal and power spectral measures is still missing. Therefore, in the present study we investigated the relationship of monofractal and multifractal EEG measures (H and Delta D) with relative band powers and spectral edge frequency across different sleep stages and topographic locations. In addition we tested sleep stage classification capability of these measures according to different channels. We found that cross-correlations between fractal and spectral measures as well as between H and Delta D exhibit specific topographic and sleep stage-related characteristics. Best sleep stage classifications were achieved by estimating measure Delta D in temporal EEG channels both at group and individual levels, suggesting that assessing multifractality might be an adequate approach for compact modeling of brain activities. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:359 / 375
页数:17
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