Literature DB >> 12786183

Wave-number spectrum of electrocorticographic signals.

S C O'Connor1, P A Robinson.   

Abstract

A physiologically based continuum model of corticothalamic electrodynamics is generalized and used to derive the theoretical form of the electrocorticographic (ECoG) wave-number spectrum. A one-dimensional projection of the spectrum is derived, as is the azimuthally averaged two-dimensional spectrum for isotropic and anisotropic cortices. The predicted spectra are found to consist of a low-k plateau followed by three regions of power-law decrease, which result from filtering of the electrical activity through physical structures at different scales in the cortex. The magnitude of the maximum theoretical power-law exponent is larger for the two-dimensional (2D) spectrum than for its 1D counterpart. The predicted spectra agree well with experimental data obtained from 1D and 2D recording arrays on the cortical surface, enabling the structures in the brain that are important in determining spatial cortical dynamics to be identified. The cortical dispersion relation predicted by our model is also investigated, providing insight into the relationships between temporal and spatial brain dynamics.

Mesh:

Year:  2003        PMID: 12786183     DOI: 10.1103/PhysRevE.67.051912

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  4 in total

1.  Estimation of multiscale neurophysiologic parameters by electroencephalographic means.

Authors:  P A Robinson; C J Rennie; D L Rowe; S C O'Connor
Journal:  Hum Brain Mapp       Date:  2004-09       Impact factor: 5.038

2.  Multiscale brain modelling.

Authors:  P A Robinson; C J Rennie; D L Rowe; S C O'Connor; E Gordon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

3.  Neural field theory with variance dynamics.

Authors:  P A Robinson
Journal:  J Math Biol       Date:  2012-05-11       Impact factor: 2.259

4.  Generalized seizures in a neural field model with bursting dynamics.

Authors:  X Zhao; P A Robinson
Journal:  J Comput Neurosci       Date:  2015-08-19       Impact factor: 1.621

  4 in total

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