Literature DB >> 11308879

Modal analysis of corticothalamic dynamics, electroencephalographic spectra, and evoked potentials.

P A Robinson1, P N Loxley, S C O'Connor, C J Rennie.   

Abstract

The effects of cortical boundary conditions and resulting modal aspects of continuum corticothalamic electrodynamics are explored, including feedbacks. Dispersion relations, electroencephalographic spectra, and stimulus response functions are calculated from the underlying physiology, and the effects of discrete mode structure are determined. Conditions under which modal effects are important are obtained, along with estimates of the point at which modal series can be truncated, and the limit in which only a single globally uniform mode need be retained. It is found that for physiologically plausible parameters only the lowest cortical spatial eigenmode together with the set of next-lowest modes can produce distinct modal structure in spectra and response functions, and then only at frequencies where corticothalamic resonances reduce dissipation to the point where the spatial eigenmodes are weakly damped. The continuum limit is found to be a good approximation, except at very low frequencies and, under some circumstances, near the alpha resonance. It is argued that the major electroencephalographic rhythms result from corticothalamic feedback resonances, but that cortical modal effects can contribute to weak substructure in the alpha resonance. This mechanism is compared and contrasted with purely cortical and pacemaker-based alternatives and testable predictions are formulated to enable experimental discrimination between these possibilities.

Entities:  

Mesh:

Year:  2001        PMID: 11308879     DOI: 10.1103/PhysRevE.63.041909

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


  29 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.  Firing responses of bursting neurons with delayed feedback.

Authors:  Hui-Ying Wu; Peter A Robinson; Jong Won Kim
Journal:  J Comput Neurosci       Date:  2010-12-17       Impact factor: 1.621

3.  How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced sedation.

Authors:  Meysam Hashemi; Axel Hutt; Jamie Sleigh
Journal:  J Comput Neurosci       Date:  2015-08-11       Impact factor: 1.621

4.  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

5.  Definitions of state variables and state space for brain-computer interface : Part 2. Extraction and classification of feature vectors.

Authors:  Walter J Freeman
Journal:  Cogn Neurodyn       Date:  2007-01-30       Impact factor: 5.082

6.  Neural field theory with variance dynamics.

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

7.  Effects of the anesthetic agent propofol on neural populations.

Authors:  Axel Hutt; Andre Longtin
Journal:  Cogn Neurodyn       Date:  2009-09-19       Impact factor: 5.082

8.  The effect of inhibition on the existence of traveling wave solutions for a neural field model of human seizure termination.

Authors:  L R González-Ramírez; M A Kramer
Journal:  J Comput Neurosci       Date:  2018-05-24       Impact factor: 1.621

9.  Optimal Model Parameter Estimation from EEG Power Spectrum Features Observed during General Anesthesia.

Authors:  Meysam Hashemi; Axel Hutt; Laure Buhry; Jamie Sleigh
Journal:  Neuroinformatics       Date:  2018-04

10.  Dynamic causal modelling of distributed electromagnetic responses.

Authors:  Jean Daunizeau; Stefan J Kiebel; Karl J Friston
Journal:  Neuroimage       Date:  2009-05-03       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.