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

Medicine

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