Literature DB >> 11308514

Prediction of electroencephalographic spectra from neurophysiology.

P A Robinson1, C J Rennie, J J Wright, H Bahramali, E Gordon, D L Rowe.   

Abstract

A recent neurophysical model of propagation of electrical waves in the cortex is extended to include a physiologically motivated subcortical feedback loop via the thalamus. The electroencephalographic spectrum when the system is driven by white noise is then calculated analytically in terms of physiological parameters, including the effects of filtering of signals by the cerebrospinal fluid, skull, and scalp. The spectral power at low frequencies is found to vary as f(-1) when awake and f(-3) when asleep, with a breakpoint to a steeper power-law tail at frequencies above about 20 Hz in both cases; the f(-1) range concurs with recent magnetoencephalographic observations of such a regime. Parameter sensitivities are explored, enabling a model with fewer free parameters to be proposed, and showing that spectra predicted for physiologically reasonable parameter values strongly resemble those observed in the laboratory. Alpha and beta peaks seen near 10 Hz and twice that frequency, respectively, in the relaxed wakeful state are generated via subcortical feedback in this model, thereby leading to predictions of their frequencies in terms of physiological parameters, and of correlations in their occurrence. Subcortical feedback is also predicted to be responsible for production of anticorrelated peaks in deep sleep states that correspond to the occurrence of theta rhythm at around half the alpha frequency and sleep spindles at 3/2 times the alpha frequency. An additional positively correlated waking peak near three times the alpha frequency is also predicted and tentatively observed, as are two new types of sleep spindle near 5/2 and 7/2 times the alpha frequency, and anticorrelated with alpha. These results provide a theoretical basis for the conventional division of EEG spectra into frequency bands, but imply that the exact bounds of these bands depend on the individual. Three types of potential instability are found: one at zero frequency, another in the theta band at around half the alpha frequency, and a third at the alpha frequency itself.

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Year:  2001        PMID: 11308514     DOI: 10.1103/PhysRevE.63.021903

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


  74 in total

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Journal:  Hum Brain Mapp       Date:  2002-03       Impact factor: 5.038

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3.  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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5.  Toward operational architectonics of consciousness: basic evidence from patients with severe cerebral injuries.

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

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7.  Connectivity changes underlying spectral EEG changes during propofol-induced loss of consciousness.

Authors:  Mélanie Boly; Rosalyn Moran; Michael Murphy; Pierre Boveroux; Marie-Aurélie Bruno; Quentin Noirhomme; Didier Ledoux; Vincent Bonhomme; Jean-François Brichant; Giulio Tononi; Steven Laureys; Karl Friston
Journal:  J Neurosci       Date:  2012-05-16       Impact factor: 6.167

Review 8.  Central thalamic deep brain stimulation for cognitive neuromodulation - a review of proposed mechanisms and investigational studies.

Authors:  Sudhin A Shah; Nicholas D Schiff
Journal:  Eur J Neurosci       Date:  2010-10       Impact factor: 3.386

Review 9.  On the role of general system theory for functional neuroimaging.

Authors:  Klaas Enno Stephan
Journal:  J Anat       Date:  2004-12       Impact factor: 2.610

Review 10.  Dynamics of a neural system with a multiscale architecture.

Authors:  Michael Breakspear; Cornelis J Stam
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

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