Abstract
Presently, we construct a composite model consisting of the spatially extended neural field model network and the large-scale mean-field model of corticothalamic circuit to investigate the effect of large-scale oscillating environment on the dynamics of spatially extended small network describing cortical absence seizure. Results show that large-scale oscillatory activities representing tonic seizure, rather than absence case, within the corticothalamic network can affect the dynamics of the spatially extended cortical local network of absence seizure, where it can not only change the frequency of the absence seizure, but also destroy its periodic spike slow-wave discharge into the random firing of having lower levels of activity. This can imply the active modulation of large-scale oscillation for the heterogeneous local information flow in brain.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (Nos. 11325208, and 11172017), the Research Fund for the Doctoral Program of Higher Education (No. 20121102110014).
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Fan, D., Wang, Q. (2016). Dynamics of the Composite Model Related to the Absence Seizure in Epilepsy. In: Wang, R., Pan, X. (eds) Advances in Cognitive Neurodynamics (V). Advances in Cognitive Neurodynamics. Springer, Singapore. https://doi.org/10.1007/978-981-10-0207-6_82
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DOI: https://doi.org/10.1007/978-981-10-0207-6_82
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