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Detection of the short-term preseizure changes in EEG recordings using complexity and synchrony.analysis

Progress in Natural Science:Materials International 2006年第7期16卷 691-700页

作者： JIA Wenyan, KONG Na, MA Jun, LIU Hesheng, GAO Xiaorong, GAO Shangkai and YANG Fusheng (Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China) [a]Department of Biomedical Engineering School of Medicine Tsinghua University Beijing China

An important consideration in epileptic seizure prediction is proving the existence of a pre-seizure state that can be detected using various signal processing algorithms. In the analyses of intracranial electroencephalographic (EEG)recordings of four epilepsy patients, the short-term changes in the measures of complexity and synchrony.were detected before the majority of seizure events across the sample patient population. A decrease in complexity and increase in phase synchrony.appeared several minutes before seizure onset and the changes were more pronounced in the focal region than in the remote region. This result was also validated statistically using a surrogate data method.

关键词： EEG epileptic seizure prediction second-order complexity synchrony.

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STOCHASTIC SYNCHRONIZATION OF CIRCADIAN RHYTHMS

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Journal of Systems Science & Complexity 2010年第5期23卷 978-988页

作者： RajKumar Brojen SINGH Vikram SINGH Ram RAMASWAMY Centre for Interdisciplinary Research in Basic Sciences Jamia Milia Islamia New Delhi 110025 India Center for Computational Biology and Bioinformatics School of Information Technology Jawaharlal Nehru University New Delhi 110067 India Center for Computational Biology and Bioinformatics School of Information Technology and School of Physical Sciences Jawaharlal Nehru University New Delhi 110067 India

Models of circadian genetic oscillators involving interlinked feedback processes in molecular level genetic networks in Drosophila melanogaster and Neurospora crassa are studied, and mechanisms whereby synchronization can arise in an assembly of cells are examined. The individual subcellular circadian oscillatory processes are stochastic in nature due to the small numbers of molecules that are involved, and are subject to large fluctuations. The authors investigate and present the simulations of the stochastic dynamics of ensembles of clock-regulating proteins in different nuclei that communicate via ancillary small molecules, environmental parameters, additive cellular noise, or through diffusive processes. The results show that the emergence of collective oscillations is a macroscopic observable which has its origins in the microscopic coupling between distinct cellular oscillators.

关键词： Coupling stochastic dynamics synchrony.

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