Literature DB >> 26912639

Interictal spikes and epileptic seizures: their relationship and underlying rhythmicity.

Philippa J Karoly1, Dean R Freestone2, Ray Boston3, David B Grayden4, David Himes5, Kent Leyde5, Udaya Seneviratne3, Samuel Berkovic6, Terence O'Brien7, Mark J Cook3.   

Abstract

We report on a quantitative analysis of electrocorticography data from a study that acquired continuous ambulatory recordings in humans over extended periods of time. The objectives were to examine patterns of seizures and spontaneous interictal spikes, their relationship to each other, and the nature of periodic variation. The recorded data were originally acquired for the purpose of seizure prediction, and were subsequently analysed in further detail. A detection algorithm identified potential seizure activity and a template matched filter was used to locate spikes. Seizure events were confirmed manually and classified as either clinically correlated, electroencephalographically identical but not clinically correlated, or subclinical. We found that spike rate was significantly altered prior to seizure in 9 out of 15 subjects. Increased pre-ictal spike rate was linked to improved predictability; however, spike rate was also shown to decrease before seizure (in 6 out of the 9 subjects). The probability distribution of spikes and seizures were notably similar, i.e. at times of high seizure likelihood the probability of epileptic spiking also increased. Both spikes and seizures showed clear evidence of circadian regulation and, for some subjects, there were also longer term patterns visible over weeks to months. Patterns of spike and seizure occurrence were highly subject-specific. The pre-ictal decrease in spike rate is not consistent with spikes promoting seizures. However, the fact that spikes and seizures demonstrate similar probability distributions suggests they are not wholly independent processes. It is possible spikes actively inhibit seizures, or that a decreased spike rate is a secondary symptom of the brain approaching seizure. If spike rate is modulated by common regulatory factors as seizures then spikes may be useful biomarkers of cortical excitability.
© The Author (2016). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  circadian rhythms; epilepsy; interictal spikes; seizures

Mesh:

Year:  2016        PMID: 26912639     DOI: 10.1093/brain/aww019

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  67 in total

1.  Bursts of seizures in long-term recordings of human focal epilepsy.

Authors:  Philippa J Karoly; Ewan S Nurse; Dean R Freestone; Hoameng Ung; Mark J Cook; Ray Boston
Journal:  Epilepsia       Date:  2017-01-13       Impact factor: 5.864

2.  Detection of mesial temporal lobe epileptiform discharges on intracranial electrodes using deep learning.

Authors:  Maurice Abou Jaoude; Jin Jing; Haoqi Sun; Claire S Jacobs; Kyle R Pellerin; M Brandon Westover; Sydney S Cash; Alice D Lam
Journal:  Clin Neurophysiol       Date:  2019-11-11       Impact factor: 3.708

3.  Antiepileptic drugs induce subcritical dynamics in human cortical networks.

Authors:  Christian Meisel
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-01       Impact factor: 11.205

4.  Integrating artificial intelligence with real-time intracranial EEG monitoring to automate interictal identification of seizure onset zones in focal epilepsy.

Authors:  Yogatheesan Varatharajah; Brent Berry; Jan Cimbalnik; Vaclav Kremen; Jamie Van Gompel; Matt Stead; Benjamin Brinkmann; Ravishankar Iyer; Gregory Worrell
Journal:  J Neural Eng       Date:  2018-06-01       Impact factor: 5.379

Review 5.  Deep Brain Stimulation for Epilepsy: Biomarkers for Optimization.

Authors:  Katrina L Dell; Mark J Cook; Matias I Maturana
Journal:  Curr Treat Options Neurol       Date:  2019-09-26       Impact factor: 3.598

6.  Predicting state transitions in brain dynamics through spectral difference of phase-space graphs.

Authors:  Patrick Luckett; Elena Pavelescu; Todd McDonald; Lee Hively; Juan Ochoa
Journal:  J Comput Neurosci       Date:  2018-10-12       Impact factor: 1.621

7.  Early seizure spread and epilepsy surgery: A systematic review.

Authors:  John P Andrews; Simon Ammanuel; Jonathan Kleen; Ankit N Khambhati; Robert Knowlton; Edward F Chang
Journal:  Epilepsia       Date:  2020-09-17       Impact factor: 5.864

8.  The seizure onset zone drives state-dependent epileptiform activity in susceptible brain regions.

Authors:  Joshua M Diamond; Julio I Chapeton; William H Theodore; Sara K Inati; Kareem A Zaghloul
Journal:  Clin Neurophysiol       Date:  2019-07-02       Impact factor: 3.708

9.  Comparing spiking and slow wave activity from invasive electroencephalography in patients with and without seizures.

Authors:  Brian Nils Lundstrom; Christian Meisel; Jamie Van Gompel; Matt Stead; Greg Worrell
Journal:  Clin Neurophysiol       Date:  2018-02-27       Impact factor: 3.708

10.  A Proposed Mechanism for Spontaneous Transitions between Interictal and Ictal Activity.

Authors:  Theju Jacob; Kyle P Lillis; Zemin Wang; Waldemar Swiercz; Negah Rahmati; Kevin J Staley
Journal:  J Neurosci       Date:  2018-11-16       Impact factor: 6.167

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