TY - JOUR
T1 - Cross-correlation markers in stochastic dynamics of complex systems
AU - Panischev, O.Yu
AU - Demin, S.A.
AU - Bhattacharya, J.
N1 - This work is supported by the Russian Foundation for Basic Research (Grant No. 08-02-00123-a). We thank K. Watanabe and S. Shimojo for the experimental data. We also thank Anatolii V. Mokshin and Ramil M. Kusnutdinoff for their help with numerical computations and Elvira R. Nigmatzyanova for technical assistance.
Publisher Copyright:
© 2010 Elsevier B.V. All rights reserved.
PY - 2010/11/1
Y1 - 2010/11/1
N2 - The neuromagnetic activity (magnetoencephalogram, MEG) from healthy human brain and from an epileptic patient against chromatic flickering stimuli has been earlier analyzed on the basis of a memory functions formalism (MFF). Information measures of memory as well as relaxation parameters revealed high individuality and unique features in the neuromagnetic brain responses of each subject. The current paper demonstrates new capabilities of MFF by studying cross-correlations between MEG signals obtained from multiple and distant brain regions. It is shown that the MEG signals of healthy subjects are characterized by well-defined effects of frequency synchronization and at the same time by the domination of low-frequency processes. On the contrary, the MEG of a patient is characterized by a sharp abnormality of frequency synchronization, and also by prevalence of high-frequency quasi-periodic processes. Modification of synchronization effects and dynamics of cross-correlations offer a promising method of detecting pathological abnormalities in brain responses.
AB - The neuromagnetic activity (magnetoencephalogram, MEG) from healthy human brain and from an epileptic patient against chromatic flickering stimuli has been earlier analyzed on the basis of a memory functions formalism (MFF). Information measures of memory as well as relaxation parameters revealed high individuality and unique features in the neuromagnetic brain responses of each subject. The current paper demonstrates new capabilities of MFF by studying cross-correlations between MEG signals obtained from multiple and distant brain regions. It is shown that the MEG signals of healthy subjects are characterized by well-defined effects of frequency synchronization and at the same time by the domination of low-frequency processes. On the contrary, the MEG of a patient is characterized by a sharp abnormality of frequency synchronization, and also by prevalence of high-frequency quasi-periodic processes. Modification of synchronization effects and dynamics of cross-correlations offer a promising method of detecting pathological abnormalities in brain responses.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-77956179546&partnerID=MN8TOARS
U2 - 10.1016/j.physa.2010.06.026
DO - 10.1016/j.physa.2010.06.026
M3 - Journal article
SN - 0378-4371
SP - 4958
EP - 4969
JO - Physica A: Statistical Mechanics and its Applications
JF - Physica A: Statistical Mechanics and its Applications
ER -