Assessment of EEG synchronization based on state-space analysis

被引:118
作者
Carmeli, C
Knyazeva, MG
Innocenti, GM
De Feo, O
机构
[1] Swiss Fed Inst Technol, Lab Nonlinear Syst, EPFL IC LANOS, CH-1015 Lausanne, Switzerland
[2] Univ Vaudois, Ctr Hosp, Lausanne, Switzerland
[3] Karolinska Inst, Dept Neurosci, S-10401 Stockholm, Sweden
[4] Univ Vaudois, Ctr Hosp, Dept Child Psychiat, Lausanne, Switzerland
关键词
S estimator; cortical synchrony; state-space;
D O I
10.1016/j.neuroimage.2004.11.049
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Cortical computation involves the formation of cooperative neuronal assemblies characterized by synchronous oscillatory activity. A traditional method for the identification of synchronous neuronal assemblies has been the coherence analysis of EEG signals. Here, we suggest a new method called S estimator, whereby cortical synchrony is defined from the embedding dimension in a state-space. We first validated the method on clusters of chaotic coupled oscillators and compared its performance to that of other methods for assessing synchronization. Then nine adult subjects were studied with high-density EEG recordings, while they viewed in the two hemifields (hence with separate hemispheres) identical sinusoidal gratings either arranged collinearly and moving together, or orthogonally oriented and moving at 90. The estimated synchronization increased with the collinear gratings over a cluster of occipital electrodes spanning both hemispheres, whereas over temporo-parietal regions of both hemispheres, it decreased with the same stimulus and it increased with the orthogonal gratings. Separate calculations for different EEG frequencies showed that the occipital clusters involved synchronization in the beta band and the temporal clusters in the alpha band. The gamma band appeared to be insensitive to stimulus diversity. Different stimulus configurations, therefore, appear to cause a complex rearrangement of synchronous neuronal assemblies distributed over the cortex, in particular over the visual cortex. (c) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:339 / 354
页数:16
相关论文
共 81 条
[1]   Spatiotemporal organization of brain dynamics and intelligence: an EEG study in adolescents [J].
Anokhin, AP ;
Lutzenberger, W ;
Birbaumer, N .
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 1999, 33 (03) :259-273
[2]  
[Anonymous], 2002, Principal Component Analysis
[3]   Increased gamma-range activity in human sensorimotor cortex during performance of visuomotor tasks [J].
Aoki, F ;
Fetz, EE ;
Shupe, L ;
Lettich, E ;
Ojemann, GA .
CLINICAL NEUROPHYSIOLOGY, 1999, 110 (03) :524-537
[4]   A robust method for detecting interdependences: application to intracranially recorded EEG [J].
Arnhold, J ;
Grassberger, P ;
Lehnertz, K ;
Elger, CE .
PHYSICA D-NONLINEAR PHENOMENA, 1999, 134 (04) :419-430
[5]   Gamma, alpha, delta, and theta oscillations govern cognitive processes [J].
Basar, E ;
Basar-Eroglu, C ;
Karakas, S ;
Schürmann, M .
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2001, 39 (2-3) :241-248
[6]   Shadows of artistry: cortical synchrony during perception and imagery of visual art [J].
Bhattacharya, J ;
Petsche, H .
COGNITIVE BRAIN RESEARCH, 2002, 13 (02) :179-186
[7]   The synchronization of chaotic systems [J].
Boccaletti, S ;
Kurths, J ;
Osipov, G ;
Valladares, DL ;
Zhou, CS .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2002, 366 (1-2) :1-101
[8]   Nonlinear phase desynchronization in human electroencephalographic data [J].
Breakspear, M .
HUMAN BRAIN MAPPING, 2002, 15 (03) :175-198
[9]   EPISODIC MULTIREGIONAL CORTICAL COHERENCE AT MULTIPLE FREQUENCIES DURING VISUAL TASK-PERFORMANCE [J].
BRESSLER, SL ;
COPPOLA, R ;
NAKAMURA, R .
NATURE, 1993, 366 (6451) :153-156
[10]   EXTRACTING QUALITATIVE DYNAMICS FROM EXPERIMENTAL-DATA [J].
BROOMHEAD, DS ;
KING, GP .
PHYSICA D, 1986, 20 (2-3) :217-236