A neurophysiological brain map: Spectral parameterization of the human intracranial electroencephalogram.

Autor: Kalamangalam GP; Department of Neurology, University of Florida, USA; Wilder Center for Epilepsy Research, University of Florida, USA. Electronic address: gkalamangalam@ufl.edu., Long S; Department of Biomedical Engineering, University of Florida, USA., Chelaru MI; Wilder Center for Epilepsy Research, University of Florida, USA.
Jazyk: angličtina
Zdroj: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2020 Mar; Vol. 131 (3), pp. 665-675. Date of Electronic Publication: 2019 Dec 26.
DOI: 10.1016/j.clinph.2019.11.061
Abstrakt: Objective: A library of intracranial electroencephalography (iEEG) from the normal human brain has recently been made publicly available (Frauscher et al., 2018). The library - which we term the Montreal Neurological Institute Atlas (MNIA) - comprises 30 hours of iEEG from over a hundred epilepsy patients. We present a Fourier spectrum-based model of low dimension that summarizes all of MNIA into a neurophysiological 'brain map'.
Methods: Normalized amplitude spectra of the MNIA data were modelled as log-normal distributions around individual canonical Berger frequencies. The latter were concatenated to yield the composite spectrum with high accuracy. Key model parameters were color-coded into a visual representation on cortical surface models.
Results: Each brain region has its own spectral characteristics that together yield a novel composite intracranial EEG brain map.
Conclusions: iEEG from normal brain regions can be accurately modelled with a small number of independent parameters. Our model is based in the canonical Berger bands and naturally suits clinical electroencephalography.
Significance: Due to its applicability to iEEG from all sampled regions, the model suggests a certain universality to brain rhythm generation that is independent of precise cortical location. More generally, our results are a novel abstraction of resting cortical dynamics that may help diagnostics in epileptology, in addition to informing structure-function relationships in the field of human brain mapping.
Competing Interests: Declaration of Competing Interests None.
(Copyright © 2019 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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