Time-variant Analysis of Linear and Non-linear Phase Couplings of and between Frequency Components of EEG Burst Patterns in Fullterm Newborns

被引:4
|
作者
Wacker, Matthias [1 ]
Putsche, Peter [1 ]
Witte, Herbert [1 ]
机构
[1] Univ Jena, Bernstein Grp Computat Neurosci Jena, Inst Med Stat Comp Sci & Documentat, D-6900 Jena, Germany
关键词
TRACE ALTERNANT EEG; OSCILLATIONS; SLEEP;
D O I
10.1109/IEMBS.2010.5626845
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Time-variant (tv) phase-locking and synchronization characteristics of and between low-frequency (<= 1.5 Hz) and high-frequency EEG oscillations (>= 3.5 Hz) of the trace alternant (TA) pattern in full-term newborns have been quantified to explore the origin of quadratic phase coupling (QPC, as non-linear phase coupling measure) between the frequency ranges 1 - 1.5 Hz double left right arrow 3.5 - 4.5 Hz, which characterize the specific interactions of oscillations during the TA's burst activity. Using the Gabor transformation two measures of linear phase coupling, the phase-locking index (PLI) and the n:m phase synchronization index (PSI) have been determined. Phase-locking within the frequency ranges 1 -1.5 Hz and 3.5 - 4.5 Hz, and synchronization between both frequency ranges exists. These phase characteristics are significant 2 sec after burst onset and are associated with the maximum-values of the QPC(1- 1.5 Hz double left right arrow 3.5 - 4.5 Hz) which demonstrates that a specific neuronal coordination between the dynamics of phases and of amplitude-frequency dependencies must be underlying.
引用
收藏
页码:1706 / 1709
页数:4
相关论文
共 50 条
  • [1] Time-variant analysis of phase couplings and amplitude-frequency dependencies of and between frequency components of EEG burst patterns in full-term newborns
    Witte, H.
    Putsche, P.
    Eiselt, M.
    Schwab, K.
    Wacker, M.
    Leistritz, L.
    [J]. CLINICAL NEUROPHYSIOLOGY, 2011, 122 (02) : 253 - 266
  • [2] Time-variant non-linear phase-coupling analysis of EEG burst patterns in sedated patients during electroencephalic burst suppression period
    Schack, B
    Witte, H
    Helbig, M
    Schelenz, C
    Specht, M
    [J]. CLINICAL NEUROPHYSIOLOGY, 2001, 112 (08) : 1388 - 1399
  • [3] APPROXIMATING NON-LINEAR INDUCTORS USING TIME-VARIANT LINEAR FILTERS
    Moro, Giulio
    McPherson, Andrew P.
    [J]. DAFX-15: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON DIGITAL AUDIO EFFECTS, 2015, : 249 - 256
  • [4] Analysis and modeling of time-variant amplitude–frequency couplings of and between oscillations of EEG bursts
    Herbert Witte
    Peter Putsche
    Claudia Hemmelmann
    Christoph Schelenz
    Lutz Leistritz
    [J]. Biological Cybernetics, 2008, 99 : 139 - 157
  • [5] Multimodal time-variant signal analysis of neonatal EEG burst patterns
    Witte, H
    Putsche, P
    Eiselt, M
    Hoffmann, K
    Arnold, M
    Jäger, H
    Leistritz, L
    [J]. MEDINFO '98 - 9TH WORLD CONGRESS ON MEDICAL INFORMATICS, PTS 1 AND 2, 1998, 52 : 1250 - 1254
  • [6] Analysis and modeling of time-variant amplitude-frequency couplings of and between oscillations of EEG bursts
    Witte, Herbert
    Putsche, Peter
    Hemmelmann, Claudia
    Schelenz, Christoph
    Leistritz, Lutz
    [J]. BIOLOGICAL CYBERNETICS, 2008, 99 (02) : 139 - 157
  • [7] Effects of Time-Variant Non-Linear TSV Parameters on Transient Analysis for Signal Integrity
    Piersanti, S.
    de Paulis, F.
    Orlandi, A.
    Achkir, B.
    Fan, J.
    [J]. 2015 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY (APEMC), 2015, : 380 - 383
  • [8] A Time-Variant and Non-Linear Model of Opinion Formation in Social Networks
    Sotiropoulos, Dionisios N.
    Bilanakos, Christos
    Giaglis, George M.
    [J]. PROCEEDINGS OF THE 2015 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2015), 2015, : 872 - 879
  • [9] Time-variant equalization using a novel non-linear adaptive structure
    Cowan, CFN
    Semnani, S
    [J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 1998, 12 (02) : 195 - 206
  • [10] Opinion formation in social networks: a time-variant and non-linear model
    Dionisios N. Sotiropoulos
    Christos Bilanakos
    George M. Giaglis
    [J]. Complex & Intelligent Systems, 2016, 2 (4) : 269 - 284