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Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data

Our objective was to determine if there are any distinguishable phase cone clustering patterns present near to epileptic spikes. These phase cones arise from episodic phase shifts due to the coordinated activity of cortical neurons at or near to state transitions and can be extracted from the high-d...

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Autores principales: Ramon, Ceon, Holmes, Mark D., Wise, Mackenzie V., Tucker, Don, Jenson, Kevin, Kinn, Samuel R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343174/
https://www.ncbi.nlm.nih.gov/pubmed/30728850
http://dx.doi.org/10.1155/2018/9034543
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author Ramon, Ceon
Holmes, Mark D.
Wise, Mackenzie V.
Tucker, Don
Jenson, Kevin
Kinn, Samuel R.
author_facet Ramon, Ceon
Holmes, Mark D.
Wise, Mackenzie V.
Tucker, Don
Jenson, Kevin
Kinn, Samuel R.
author_sort Ramon, Ceon
collection PubMed
description Our objective was to determine if there are any distinguishable phase cone clustering patterns present near to epileptic spikes. These phase cones arise from episodic phase shifts due to the coordinated activity of cortical neurons at or near to state transitions and can be extracted from the high-density scalp EEG recordings. The phase cone clustering activities in the low gamma band (30–50 Hz) and in the ripple band (80–150 Hz) were extracted from the analytic phase after taking Hilbert transform of the 256-channel high density (dEEG) data of adult patients. We used three subjects in this study. Spatiotemporal contour plots of the unwrapped analytic phase with 1.0 ms intervals were constructed using a montage layout of 256 electrode positions. Stable phase cone patterns were selected based on the criteria that the sign of the spatial gradient did not change for at least three consecutive time samples and the frame velocity was within the range of propagation velocities of cortical axons. These plots exhibited dynamical formation of phase cones which were higher in the seizure area as compared with the nearby surrounding brain areas. Spatiotemporal oscillatory patterns were also visible during ±5 sec period from the location of the spike. These results suggest that the phase cone activity might be useful for noninvasive localization of epileptic sites and also for examining the cortical neurodynamics near to epileptic spikes.
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spelling pubmed-63431742019-02-06 Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data Ramon, Ceon Holmes, Mark D. Wise, Mackenzie V. Tucker, Don Jenson, Kevin Kinn, Samuel R. Comput Math Methods Med Research Article Our objective was to determine if there are any distinguishable phase cone clustering patterns present near to epileptic spikes. These phase cones arise from episodic phase shifts due to the coordinated activity of cortical neurons at or near to state transitions and can be extracted from the high-density scalp EEG recordings. The phase cone clustering activities in the low gamma band (30–50 Hz) and in the ripple band (80–150 Hz) were extracted from the analytic phase after taking Hilbert transform of the 256-channel high density (dEEG) data of adult patients. We used three subjects in this study. Spatiotemporal contour plots of the unwrapped analytic phase with 1.0 ms intervals were constructed using a montage layout of 256 electrode positions. Stable phase cone patterns were selected based on the criteria that the sign of the spatial gradient did not change for at least three consecutive time samples and the frame velocity was within the range of propagation velocities of cortical axons. These plots exhibited dynamical formation of phase cones which were higher in the seizure area as compared with the nearby surrounding brain areas. Spatiotemporal oscillatory patterns were also visible during ±5 sec period from the location of the spike. These results suggest that the phase cone activity might be useful for noninvasive localization of epileptic sites and also for examining the cortical neurodynamics near to epileptic spikes. Hindawi 2018-11-21 /pmc/articles/PMC6343174/ /pubmed/30728850 http://dx.doi.org/10.1155/2018/9034543 Text en Copyright © 2018 Ceon Ramon et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ramon, Ceon
Holmes, Mark D.
Wise, Mackenzie V.
Tucker, Don
Jenson, Kevin
Kinn, Samuel R.
Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data
title Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data
title_full Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data
title_fullStr Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data
title_full_unstemmed Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data
title_short Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data
title_sort oscillatory patterns of phase cone formations near to epileptic spikes derived from 256-channel scalp eeg data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343174/
https://www.ncbi.nlm.nih.gov/pubmed/30728850
http://dx.doi.org/10.1155/2018/9034543
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