4.5 Article

Neocortical dynamics at multiple scales: EEG standing waves, statistical mechanics, and physical analogs

期刊

MATHEMATICAL BIOSCIENCES
卷 229, 期 2, 页码 160-173

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.mbs.2010.12.003

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EEG; Nonlinear dynamics; Standing waves; Statistical mechanics; Neocortical dynamics; Short term memory

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The dynamic behavior of scalp potentials (EEG) is apparently due to some combination of global and local processes with important top-down and bottom-up interactions across spatial scales. In treating global mechanisms, we stress the importance of myelinated axon propagation delays and periodic boundary conditions in the cortical-white matter system, which is topologically close to a spherical shell. By contrast, the proposed local mechanisms are multiscale interactions between cortical columns via short-ranged non-myelinated fibers. A mechanical model consisting of a stretched string with attached nonlinear springs demonstrates the general idea. The string produces standing waves analogous to large-scale coherent EEG observed in some brain states. The attached springs are analogous to the smaller (mesoscopic) scale columnar dynamics. Generally, we expect string displacement and EEG at all scales to result from both global and local phenomena. A statistical mechanics of neocortical interactions (SMNI) calculates oscillatory behavior consistent with typical EEG, within columns, between neighboring columns via short-ranged non-myelinated fibers, across cortical regions via myelinated fibers, and also derives a string equation consistent with the global EEG model. (C) 2010 Elsevier Inc. All rights reserved.

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