Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data
Joint Authors
Ramon, Ceon
Holmes, Mark D.
Wise, Mackenzie V.
Tucker, Don
Jenson, Kevin
Kinn, Samuel R.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-21
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Ramon, Ceon& Holmes, Mark D.& Wise, Mackenzie V.& Tucker, Don& Jenson, Kevin& Kinn, Samuel R.. 2018. Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1132232
Modern Language Association (MLA)
Ramon, Ceon…[et al.]. Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1132232
American Medical Association (AMA)
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. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1132232
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132232