NDLI: Estimation of genuine and random synchronization in multivariate neural series.

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Estimation of genuine and random synchronization in multivariate neural series.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Cui, Dong Liu, Xianzeng Wan, You Li, Xiaoli
Description	Country affiliation: China Author Affiliation: Cui D ( Institute of Information Science and Engineering, Yanshan University, Qinhuangdao, China.)
Abstract	Synchronization is an important mechanism that helps in understanding information processing in a normal or abnormal brain. In this paper, we propose a new method to estimate the genuine and random synchronization indexes in multivariate neural series, denoted as GSI (genuine synchronization index) and RSI (random synchronization index), by means of a correlation matrix analysis and surrogate technique. The performance of the method is evaluated by using a multi-channel neural mass model (MNMM), including the effects of different coupling coefficients, signal to noise ratios (SNRs) and time-window widths on the estimation of the GSI and RSI. Results show that the GSI and the RSI are superior in description of the synchronization in multivariate neural series compared to the S-estimator. Furthermore, the proposed method is applied to analyze a 21-channel scalp electroencephalographic recording of a 35 year-old male who suffers from mesial temporal lobe epilepsy. The GSI and the RSI at different frequency bands during the epileptic seizure are estimated. The present results could be helpful for us to understand the synchronization mechanism of epileptic seizures.
File Format	HTM / HTML
ISSN	08936080
Issue Number	6
Volume Number	23
e-ISSN	18792782
Journal	Neural Networks
Language	English
Publisher	Elsevier
Publisher Date	2010-08-01
Publisher Place	United States
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Neurology Cerebral Cortex Physiopathology Cortical Synchronization Electroencephalography Methods Epilepsy, Temporal Lobe Diagnosis Nerve Net Neurons Physiology Signal Processing, Computer-assisted Adult Epilepsy Pathology Humans Male Multivariate Analysis Neural Networks (computer) Random Allocation Case Reports Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Case study Article
Subject	Artificial Intelligence Cognitive Neuroscience

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