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The Dynamics of the Epileptic Brain Reveal Long-Memory Processes
The pattern of epileptic seizures is often considered unpredictable and the interval between events without correlation. A number of studies have examined the possibility that seizure activity respects a power-law relationship, both in terms of event magnitude and inter-event intervals. Such relatio...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208412/ https://www.ncbi.nlm.nih.gov/pubmed/25386160 http://dx.doi.org/10.3389/fneur.2014.00217 |
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author | Cook, Mark J. Varsavsky, Andrea Himes, David Leyde, Kent Berkovic, Samuel Frank O’Brien, Terence Mareels, Iven |
author_facet | Cook, Mark J. Varsavsky, Andrea Himes, David Leyde, Kent Berkovic, Samuel Frank O’Brien, Terence Mareels, Iven |
author_sort | Cook, Mark J. |
collection | PubMed |
description | The pattern of epileptic seizures is often considered unpredictable and the interval between events without correlation. A number of studies have examined the possibility that seizure activity respects a power-law relationship, both in terms of event magnitude and inter-event intervals. Such relationships are found in a variety of natural and man-made systems, such as earthquakes or Internet traffic, and describe the relationship between the magnitude of an event and the number of events. We postulated that human inter-seizure intervals would follow a power-law relationship, and furthermore that evidence for the existence of a long-memory process could be established in this relationship. We performed a post hoc analysis, studying eight patients who had long-term (up to 2 years) ambulatory intracranial EEG data recorded as part of the assessment of a novel seizure prediction device. We demonstrated that a power-law relationship could be established in these patients (β = − 1.5). In five out of the six subjects whose data were sufficiently stationary for analysis, we found evidence of long memory between epileptic events. This memory spans time scales from 30 min to 40 days. The estimated Hurst exponents range from 0.51 to 0.77 ± 0.01. This finding may provide evidence of phase-transitions underlying the dynamics of epilepsy. |
format | Online Article Text |
id | pubmed-4208412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42084122014-11-10 The Dynamics of the Epileptic Brain Reveal Long-Memory Processes Cook, Mark J. Varsavsky, Andrea Himes, David Leyde, Kent Berkovic, Samuel Frank O’Brien, Terence Mareels, Iven Front Neurol Neuroscience The pattern of epileptic seizures is often considered unpredictable and the interval between events without correlation. A number of studies have examined the possibility that seizure activity respects a power-law relationship, both in terms of event magnitude and inter-event intervals. Such relationships are found in a variety of natural and man-made systems, such as earthquakes or Internet traffic, and describe the relationship between the magnitude of an event and the number of events. We postulated that human inter-seizure intervals would follow a power-law relationship, and furthermore that evidence for the existence of a long-memory process could be established in this relationship. We performed a post hoc analysis, studying eight patients who had long-term (up to 2 years) ambulatory intracranial EEG data recorded as part of the assessment of a novel seizure prediction device. We demonstrated that a power-law relationship could be established in these patients (β = − 1.5). In five out of the six subjects whose data were sufficiently stationary for analysis, we found evidence of long memory between epileptic events. This memory spans time scales from 30 min to 40 days. The estimated Hurst exponents range from 0.51 to 0.77 ± 0.01. This finding may provide evidence of phase-transitions underlying the dynamics of epilepsy. Frontiers Media S.A. 2014-10-24 /pmc/articles/PMC4208412/ /pubmed/25386160 http://dx.doi.org/10.3389/fneur.2014.00217 Text en Copyright © 2014 Cook, Varsavsky, Himes, Leyde, Berkovic, O’Brien and Mareels. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Cook, Mark J. Varsavsky, Andrea Himes, David Leyde, Kent Berkovic, Samuel Frank O’Brien, Terence Mareels, Iven The Dynamics of the Epileptic Brain Reveal Long-Memory Processes |
title | The Dynamics of the Epileptic Brain Reveal Long-Memory Processes |
title_full | The Dynamics of the Epileptic Brain Reveal Long-Memory Processes |
title_fullStr | The Dynamics of the Epileptic Brain Reveal Long-Memory Processes |
title_full_unstemmed | The Dynamics of the Epileptic Brain Reveal Long-Memory Processes |
title_short | The Dynamics of the Epileptic Brain Reveal Long-Memory Processes |
title_sort | dynamics of the epileptic brain reveal long-memory processes |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208412/ https://www.ncbi.nlm.nih.gov/pubmed/25386160 http://dx.doi.org/10.3389/fneur.2014.00217 |
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