Neurophysiology of juvenile myoclonic epilepsy: EEG-based network and graph analysis of the interictal and immediate preictal states

B. Clemens, S. Puskás, M. Besenyei, T. Spisák, G. Opposits, K. Hollódy, A. Fogarasi, I. Fekete, M. Emri

Research output: Article

19 Citations (Scopus)

Abstract

Introduction: The neuronal mechanisms of enduring seizure propensity and seizure precipitation in juvenile myoclonic epilepsy (JME) are not known. We investigated these issues, within the framework of the "network concept" of epilepsy. Methods: Design1: 19, unmedicated JME patients were compared with nineteen, age-, and sex-matched normal control persons (NC). A total of 120. s, artifact-free, paroxysm-free, eyes-closed, resting state EEG background activity was analyzed for each person. Design2: interictal and immediate preictal periods of the JME patients were compared in order to explore interictal-preictal network differences. For both comparison designs, statistically significant differences of EEG functional connectivity (EEGfC), nodal and global graph parameters were evaluated. Main results: Design1: maximum abnormalities were: increased delta, theta, alpha1 EEGfC and decreased alpha2 and beta EEGfC in the JME group as compared to the NC group, mainly among cortical areas that are involved in sensory-motor integration. Nodal degree and efficiency of three, medial, basal frontal nodes were greater in JME than in NC, in the alpha1 band. Design2: preictal delta EEGfC showed further increase in the above-mentioned areas, as compared to the interictal state. Discussion: Increased EEGfC indicates a hypercoupled state among the specified cortical areas. This interictal abnormality further increases in the preictal state. Nodal graph statistics indicates abnormal neuronal dynamics in the cortical area that is the ictal onset zone in JME. Significance: Interictal and preictal neuronal dysfunction has been described in terms of network dynamics and topography in JME patients. Forthcoming investigations of seizure precipitation and therapeutic drug effects are encouraged on this basis.

Original languageEnglish
Pages (from-to)357-369
Number of pages13
JournalEpilepsy Research
Volume106
Issue number3
DOIs
Publication statusPublished - okt. 2013

Fingerprint

Juvenile Myoclonic Epilepsy
Neurophysiology
Electroencephalography
Seizures
Therapeutic Uses
Artifacts
Epilepsy
Stroke
Control Groups

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology

Cite this

Neurophysiology of juvenile myoclonic epilepsy : EEG-based network and graph analysis of the interictal and immediate preictal states. / Clemens, B.; Puskás, S.; Besenyei, M.; Spisák, T.; Opposits, G.; Hollódy, K.; Fogarasi, A.; Fekete, I.; Emri, M.

In: Epilepsy Research, Vol. 106, No. 3, 10.2013, p. 357-369.

Research output: Article

@article{ed84dee0a1cd4698b55181a320e65f18,
title = "Neurophysiology of juvenile myoclonic epilepsy: EEG-based network and graph analysis of the interictal and immediate preictal states",
abstract = "Introduction: The neuronal mechanisms of enduring seizure propensity and seizure precipitation in juvenile myoclonic epilepsy (JME) are not known. We investigated these issues, within the framework of the {"}network concept{"} of epilepsy. Methods: Design1: 19, unmedicated JME patients were compared with nineteen, age-, and sex-matched normal control persons (NC). A total of 120. s, artifact-free, paroxysm-free, eyes-closed, resting state EEG background activity was analyzed for each person. Design2: interictal and immediate preictal periods of the JME patients were compared in order to explore interictal-preictal network differences. For both comparison designs, statistically significant differences of EEG functional connectivity (EEGfC), nodal and global graph parameters were evaluated. Main results: Design1: maximum abnormalities were: increased delta, theta, alpha1 EEGfC and decreased alpha2 and beta EEGfC in the JME group as compared to the NC group, mainly among cortical areas that are involved in sensory-motor integration. Nodal degree and efficiency of three, medial, basal frontal nodes were greater in JME than in NC, in the alpha1 band. Design2: preictal delta EEGfC showed further increase in the above-mentioned areas, as compared to the interictal state. Discussion: Increased EEGfC indicates a hypercoupled state among the specified cortical areas. This interictal abnormality further increases in the preictal state. Nodal graph statistics indicates abnormal neuronal dynamics in the cortical area that is the ictal onset zone in JME. Significance: Interictal and preictal neuronal dysfunction has been described in terms of network dynamics and topography in JME patients. Forthcoming investigations of seizure precipitation and therapeutic drug effects are encouraged on this basis.",
keywords = "EEG, Functional connectivity, Graph analysis, Juvenile myoclonic epilepsy, Network",
author = "B. Clemens and S. Pusk{\'a}s and M. Besenyei and T. Spis{\'a}k and G. Opposits and K. Holl{\'o}dy and A. Fogarasi and I. Fekete and M. Emri",
year = "2013",
month = "10",
doi = "10.1016/j.eplepsyres.2013.06.017",
language = "English",
volume = "106",
pages = "357--369",
journal = "Epilepsy Research",
issn = "0920-1211",
publisher = "Elsevier",
number = "3",

}

TY - JOUR

T1 - Neurophysiology of juvenile myoclonic epilepsy

T2 - EEG-based network and graph analysis of the interictal and immediate preictal states

AU - Clemens, B.

AU - Puskás, S.

AU - Besenyei, M.

AU - Spisák, T.

AU - Opposits, G.

AU - Hollódy, K.

AU - Fogarasi, A.

AU - Fekete, I.

AU - Emri, M.

PY - 2013/10

Y1 - 2013/10

N2 - Introduction: The neuronal mechanisms of enduring seizure propensity and seizure precipitation in juvenile myoclonic epilepsy (JME) are not known. We investigated these issues, within the framework of the "network concept" of epilepsy. Methods: Design1: 19, unmedicated JME patients were compared with nineteen, age-, and sex-matched normal control persons (NC). A total of 120. s, artifact-free, paroxysm-free, eyes-closed, resting state EEG background activity was analyzed for each person. Design2: interictal and immediate preictal periods of the JME patients were compared in order to explore interictal-preictal network differences. For both comparison designs, statistically significant differences of EEG functional connectivity (EEGfC), nodal and global graph parameters were evaluated. Main results: Design1: maximum abnormalities were: increased delta, theta, alpha1 EEGfC and decreased alpha2 and beta EEGfC in the JME group as compared to the NC group, mainly among cortical areas that are involved in sensory-motor integration. Nodal degree and efficiency of three, medial, basal frontal nodes were greater in JME than in NC, in the alpha1 band. Design2: preictal delta EEGfC showed further increase in the above-mentioned areas, as compared to the interictal state. Discussion: Increased EEGfC indicates a hypercoupled state among the specified cortical areas. This interictal abnormality further increases in the preictal state. Nodal graph statistics indicates abnormal neuronal dynamics in the cortical area that is the ictal onset zone in JME. Significance: Interictal and preictal neuronal dysfunction has been described in terms of network dynamics and topography in JME patients. Forthcoming investigations of seizure precipitation and therapeutic drug effects are encouraged on this basis.

AB - Introduction: The neuronal mechanisms of enduring seizure propensity and seizure precipitation in juvenile myoclonic epilepsy (JME) are not known. We investigated these issues, within the framework of the "network concept" of epilepsy. Methods: Design1: 19, unmedicated JME patients were compared with nineteen, age-, and sex-matched normal control persons (NC). A total of 120. s, artifact-free, paroxysm-free, eyes-closed, resting state EEG background activity was analyzed for each person. Design2: interictal and immediate preictal periods of the JME patients were compared in order to explore interictal-preictal network differences. For both comparison designs, statistically significant differences of EEG functional connectivity (EEGfC), nodal and global graph parameters were evaluated. Main results: Design1: maximum abnormalities were: increased delta, theta, alpha1 EEGfC and decreased alpha2 and beta EEGfC in the JME group as compared to the NC group, mainly among cortical areas that are involved in sensory-motor integration. Nodal degree and efficiency of three, medial, basal frontal nodes were greater in JME than in NC, in the alpha1 band. Design2: preictal delta EEGfC showed further increase in the above-mentioned areas, as compared to the interictal state. Discussion: Increased EEGfC indicates a hypercoupled state among the specified cortical areas. This interictal abnormality further increases in the preictal state. Nodal graph statistics indicates abnormal neuronal dynamics in the cortical area that is the ictal onset zone in JME. Significance: Interictal and preictal neuronal dysfunction has been described in terms of network dynamics and topography in JME patients. Forthcoming investigations of seizure precipitation and therapeutic drug effects are encouraged on this basis.

KW - EEG

KW - Functional connectivity

KW - Graph analysis

KW - Juvenile myoclonic epilepsy

KW - Network

UR - http://www.scopus.com/inward/record.url?scp=84884702192&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84884702192&partnerID=8YFLogxK

U2 - 10.1016/j.eplepsyres.2013.06.017

DO - 10.1016/j.eplepsyres.2013.06.017

M3 - Article

C2 - 23886656

AN - SCOPUS:84884702192

VL - 106

SP - 357

EP - 369

JO - Epilepsy Research

JF - Epilepsy Research

SN - 0920-1211

IS - 3

ER -