Literature DB >> 12111274

Unified neurophysical model of EEG spectra and evoked potentials.

C J Rennie1, P A Robinson, J J Wright.   

Abstract

Evoked potentials -- the brain's transient electrical responses to discrete stimuli -- are modeled as impulse responses using a continuum model of brain electrical activity. Previous models of ongoing brain activity are refined by adding an improved model of thalamic connectivity and modulation, and by allowing for two populations of excitatory cortical neurons distinguished by their axonal ranges. Evoked potentials are shown to be modelable as an impulse response that is a sum of component responses. The component occurring about 100 ms poststimulus is attributed to sensory activation, and this, together with positive and negative feedback pathways between the cortex and thalamus, results in subsequent peaks and troughs that semiquantitatively reproduce those of observed evoked potentials. Modulation of the strengths of positive and negative feedback, in ways consistent with psychological theories of attentional focus, results in distinct responses resembling those seen in experiments involving attentional changes. The modeled impulse responses reproduce key features of typical experimental evoked response potentials: timing, relative amplitude, and number of peaks. The same model, with further modulation of feedback, also reproduces experimental spectra. Together, these results mean that a broad range of ongoing and transient electrocortical activity can be understood within a common framework, which is parameterized by values that are directly related to physiological and anatomical quantities.

Mesh:

Year:  2002        PMID: 12111274     DOI: 10.1007/s00422-002-0310-9

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  41 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
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2.  Dynamics of coupled thalamocortical modules.

Authors:  Jonathan D Drover; Nicholas D Schiff; Jonathan D Victor
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3.  How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced sedation.

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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.  Stochastic models of neuronal dynamics.

Authors:  L M Harrison; O David; K J Friston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

6.  Neural field theory with variance dynamics.

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

7.  Neuronal synchrony during anesthesia: a thalamocortical model.

Authors:  Jane H Sheeba; Aneta Stefanovska; Peter V E McClintock
Journal:  Biophys J       Date:  2008-06-27       Impact factor: 4.033

8.  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

9.  Electrophysiological correlates of listening effort: neurodynamical modeling and measurement.

Authors:  Daniel J Strauss; Farah I Corona-Strauss; Carlos Trenado; Corinna Bernarding; Wolfgang Reith; Matthias Latzel; Matthias Froehlich
Journal:  Cogn Neurodyn       Date:  2010-04-27       Impact factor: 5.082

10.  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

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