Topological mapping of sharp reorganization synchrony in multichannel EEG

ABSTRACTThis paper presents a method of using multichannel EEG recordings to study EEG synchronization processes of cortical activity. We found that the picture of the interaction between the cortical areas, which is usually formed with classical crosscorrelation and coherence analysis data, may be significantly supplemented by using “operational synchrony”. Operational synchrony is calculated according to the frequency of the coincidences of sharp reorganization moment (SRM) in the multichannel EEG. These coincidences could reflect the processes of switching between working operations. The paper describes the technology for spatial-temporal mapping of the interchannel coincidences of the SRM in the EEG. In research on healthy humans, performing a memory task on the perception of visual matrixal images, we detected a considerable modification of the topological map of the SRM coincidences in multichannel EEG. This modification depended on the type of the given subject's activity. This model of analysis is...

[1]  J. S. Barlow,et al.  Methods of Analysis of Nonstationary EEGs, with Emphasis on Segmentation Techniques: A Comparative Review , 1985, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[2]  V. Mountcastle The evolution of ideas concerning the function of the neocortex. , 1995, Cerebral cortex.

[3]  B. Brodsky,et al.  Nonparametric Methods in Change Point Problems , 1993 .

[4]  John W. Goethe,et al.  EEG coherence and power in the discrimination of psychiatric disorders and medication effects , 1986, Biological Psychiatry.

[5]  P. Nunez,et al.  Neocortical Dynamics and Human EEG Rhythms , 1995 .

[6]  G. B. Anderson,et al.  Modeling the Stationarity and Gaussianity of Spontaneous Electroencephalographic Activity , 1975, IEEE Transactions on Biomedical Engineering.

[7]  T. Gasser,et al.  EEG coherence in Alzheimer disease. , 1994, Electroencephalography and clinical neurophysiology.

[8]  T. Bullock,et al.  Induced Rhythms in the Brain , 1992, Brain Dynamics.

[9]  W. R. Adey,et al.  Discriminating among states of consciousness by EEG measurements. A study of four subjects. , 1967, Electroencephalography and clinical neurophysiology.

[10]  R. Thatcher,et al.  Cortico-cortical associations and EEG coherence: a two-compartmental model. , 1986, Electroencephalography and clinical neurophysiology.

[11]  Bin He,et al.  An equivalent body surface charge model representing three-dimensional bioelectrical activity , 1995, IEEE Transactions on Biomedical Engineering.

[12]  M A B BRAZIER,et al.  Cross-correlation and autocorrelation studies of electroencephalographic potentials. , 1952, Electroencephalography and clinical neurophysiology.

[13]  G Pfurtscheller,et al.  Event-related coherence as a tool for studying dynamic interaction of brain regions. , 1996, Electroencephalography and clinical neurophysiology.

[14]  D. Lehmann,et al.  Segmentation of brain electrical activity into microstates: model estimation and validation , 1995, IEEE Transactions on Biomedical Engineering.

[15]  B H Jansen,et al.  Quantitative analysis of electroencephalograms: is there chaos in the future? , 1991, International journal of bio-medical computing.

[16]  R A Zappulla,et al.  EEG coherence as a predictor of spike propagation. , 1992, Electroencephalography and clinical neurophysiology.

[17]  T. Bullock,et al.  EEG coherence has structure in the millimeter domain: subdural and hippocampal recordings from epileptic patients. , 1995, Electroencephalography and clinical neurophysiology.

[18]  G Pfurtscheller,et al.  Event-related desynchronization, ERD-mapping and hemispheric differences for words and numbers. , 1990, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[19]  T. Bullock,et al.  Temporal fluctuations in coherence of brain waves. , 1995, Proceedings of the National Academy of Sciences of the United States of America.