A unified statistical model for the human electrocorticogram.

Autor: Kalamangalam GP; Department of Neurology, University of Texas Health Science Centre, Houston, TX, USA. Electronic address: Giridhar.P.Kalamangalam@uth.tmc.edu., Chelaru MI; Department of Neurobiology, University of Texas Health Science Centre, Houston, TX, USA., Slater JD; Department of Neurology, University of Texas Health Science Centre, Houston, TX, USA.
Jazyk: angličtina
Zdroj: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2016 Dec; Vol. 127 (12), pp. 3564-3573. Date of Electronic Publication: 2016 Jul 05.
DOI: 10.1016/j.clinph.2016.06.027
Abstrakt: Objective: Extracellular field potentials (ECFs) generated in the cerebral cortex span a vast range of spatiotemporal scales. The process(es) leading to this large dynamic range remain debatable. Here we propose a novel statistical description of the amplitude spectrum of the human electrocorticogram (ECoG).
Methods: Spectral analysis was performed on long-term recordings from epilepsy patients undergoing pre-surgical evaluation with intracranial electrodes. Amplitude spectra were fit with a multi-component Gaussian model on semi-logarithmic axes.
Results: The Gaussian formulation provided excellent fits to the data. It also suggested how the changes accompanying the sleep-wake cycle and certain epileptiform transitions could be understood by variation in the parameters of the model.
Conclusions: The proposed continuum model synthesizes several previous observations regarding the statistical structure of the resting human ECoG. It offers a conceptual platform for understanding the EEG changes accompanying the sleep-wake cycle and pathologically hypersynchronous behaviour.
Significance: Statistical characterisation of the spectral distribution of field potentials yield insight into the cortico-cortical interactions that underlie the summated cortical ECFs comprising the ECoG. Such insight is relevant for a synoptic understanding of major state changes in the brain that are diagnosed in clinical practice by visual inspection of the ECoG.
(Copyright © 2016 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.)
Databáze: MEDLINE
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