Literature DB >> 15501471

Unifying and interpreting the spectral wavenumber content of EEGs, ECoGs, and ERPs.

S C O'Connor1, P A Robinson.   

Abstract

A biological model of corticothalamic dynamics is used to investigate the spatial power spectrum (wavenumber spectrum) of electrical activity in the brain. The model provides a single framework for unifying different aspects of activity. Comparisons of the predicted spectra with published electrocorticographic, electroencephalographic, and evoked response potential data enable physiology and anatomy to be inferred, producing results which are complementary to those obtained from comparisons in the frequency domain; the inferred quantities are consistent with, and complementary to, direct physiological and anatomical measurements. We also use the model to quantify the interdependence of the wavenumber and frequency domains, and deduce that further experiments that cover large wavenumber and frequency ranges simultaneously would greatly increase our knowledge of brain function. We conclude that both the frequency and wavenumber domains should be studied in order to build the fullest picture of brain dynamics: the two domains are both complementary and interdependent.

Mesh:

Year:  2004        PMID: 15501471     DOI: 10.1016/j.jtbi.2004.07.003

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  3 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.  NFTsim: Theory and Simulation of Multiscale Neural Field Dynamics.

Authors:  Paula Sanz-Leon; Peter A Robinson; Stuart A Knock; Peter M Drysdale; Romesh G Abeysuriya; Felix K Fung; Chris J Rennie; Xuelong Zhao
Journal:  PLoS Comput Biol       Date:  2018-08-22       Impact factor: 4.475

3.  Anatomical connectivity and the resting state activity of large cortical networks.

Authors:  D A Pinotsis; E Hansen; K J Friston; V K Jirsa
Journal:  Neuroimage       Date:  2012-10-17       Impact factor: 6.556

  3 in total

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