EEG functional connectivity of the intrahemispheric cortico-cortical network of idiopathic generalized epilepsy

Clemens, Béla; Puskás, Szilvia; Bessenyei, Mónika; Emri, Miklós; Spisák, Tamás; Koselák, M.; Hollódy, Katalin; Fogarasi, András; Kondákor, István; Füle, K.; Bense, Katalin; Fekete, István

doi:10.1016/j.eplepsyres.2011.04.011

Cited by 33 publications

(29 citation statements)

References 73 publications

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“…[16] Scalp EEG reflects EEG dynamics at a large spatial scale, allowing the quantitative assessment of network-generated, synchronized activities. [24] Also, as this synchronization depends highly on a particular frequency range, imaging methods like functional MRI are not appropriate.…”

Section: Discussionmentioning

confidence: 99%

“…[24] Also, as this synchronization depends highly on a particular frequency range, imaging methods like functional MRI are not appropriate. [16] We hence chose EEG to investigate these electrical abnormalities in JME. Spectral power was used to reflect upon the degree of synchronization of the cortical EEG sources at a given frequency (or, in a frequency band) as it is proportional to the number of the synchronously activated generators that contribute to the signal.…”

Section: Discussionmentioning

confidence: 99%

“…Changes in terms of both spectral power[1112131415] (including γ-frequency band)[1415] and coherence[1216] are reported in these. Except a few studies,[1117] most studies comparing inter-ictal background power and coherence in generalized epilepsies with normal controls, have not specifically determined patients with JME as a separate group.…”

Section: Introductionmentioning

confidence: 99%

“…Rather they have clubbed patients with JME, juvenile absence epilepsy, and epilepsy with exclusively generalized tonic–clonic seizures together. [1213141516] Limited number of studies[1117] which present separate results for JME patients have found both similar and contrasting findings compared to patients with idiopathic generalized epilepsy considered broadly.…”

Section: Introductionmentioning

confidence: 99%

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Juvenile myoclonic epilepsy: Clinical characteristics, standard and quantitative electroencephalography analyses

et al. 2013

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Objectives:Most studies comparing inter-ictal background quantitative electroencephalography (EEG) measures in generalized epilepsies with normal controls do not specifically determine patients with juvenile myoclonic epilepsy (JME) as a separate group. The study aims at comparing absolute spectral power and global field coherence in various frequency bands between patients diagnosed exclusively with JME and 10 healthy controls, and correlating significantly different quantitative EEG measures with various clinical characteristics and standard EEG abnormalities.Materials and Methods:Clinical and EEG data were collected from 10 patients with JME and 10 healthy controls. Spectral power and global field spectral coherence were calculated using Welch's averaged periodogram method. The data was analyzed using descriptive statistics, Fisher's exact test and t-test.Results:Statistically significant (or trend level) higher power (global α and θ, frontal α and θ, left temporal θ, right occipital α, δ and γ1, and central δ, θ, α, β, and γ2) and coherence (global α and γ1) was found in JME patients when compared to controls. Significant correlation of left frontal and central θ-power with presence of absence seizures (negative), central δ-, and θ-power with the presence of psychiatric comorbidity and central θ-power with frequency of myoclonic seizures was found.Conclusion:Findings on global–frontal and temporal–occipital power support mild diffuse epileptogenic state and θ-activity as an endophenotype concepts in JME patients, respectively; findings suggest future studies on JME to include psychiatric comorbidity while selecting the sample; some spectral measures (e.g., central θ-power) do relate to progression of JME while some do not.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Juvenile myoclonic epilepsy: Clinical characteristics, standard and quantitative electroencephalography analyses

et al. 2013

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“…Such methods have been used to quantify the epileptogenicity of temporal lobe networks capable of generating spontaneous seizures [26,27], whereas information flow analysis of intracranial ictal EEG signals has been used to successfully predict electrode(s) where seizures begin [28–30]. Similar analyses have been applied to interictal EEG data to evaluate functional connectivity within and outside of the seizure onset zone in patients with different types of epilepsy [31–33]. A consistent finding among these studies is that the extent of functional connectivity is frequency-dependent and influenced by brain areas, location of the seizure onset zone, and type of epilepsy.…”

Section: Whole Brain Levelmentioning

confidence: 99%

Connectomics and epilepsy

Engel¹,

Thompson²,

Stern³

et al. 2013

Current Opinion in Neurology

250

190

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Purpose of review Tremendous advances have occurred in recent years in elucidating basic mechanisms of epilepsy at the level of ion channels and neurotransmitters. Epilepsy, however, is ultimately a disease of functionally and/or structurally aberrant connections between neurons and groups of neurons at the systems level. Recent advances in neuroimaging and electrophysiology now make it possible to investigate structural and functional connectivity of the entire brain, and these techniques are currently being used to investigate diseases that manifest as global disturbances of brain function. Epilepsy is such a disease, and our understanding of the mechanisms underlying the development of epilepsy and the generation of epileptic seizures will undoubtedly benefit from research utilizing these connectomic approaches. Recent findings MRI using diffusion tensor imaging provides structural information, whereas functional MRI and electroencephalography provide functional information about connectivity at the whole brain level. Optogenetics, tracers, electrophysiological approaches, and calcium imaging provide connectivity information at the level of local circuits. These approaches are revealing important neuronal network disturbances underlying epileptic abnormalities. Summary An understanding of the fundamental mechanisms underlying the development of epilepsy and the generation of epileptic seizures will require delineation of the aberrant functional and structural connections of the whole brain. The field of connectomics now provides approaches to accomplish this.

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Comparison of Resting-State EEG Network Analyses With and Without Parallel MRI in Genetic Generalized Epilepsy

et al. 2023

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Genetic generalized epilepsy (GGE) is conceptualized as a brain disorder involving distributed bilateral networks. To study these networks, simultaneous EEG-fMRI measurements can be used. However, inside-MRI EEG suffers from strong MR-related artifacts; it is not established whether EEG-based metrics in EEG-fMRI resting-state measurements are suitable for the analysis of group differences at source-level. We evaluated the impact of the inside-MR measurement condition on statistical group comparisons of EEG on source-level power and functional connectivity in patients with GGE versus healthy controls. We studied the cross-modal spatial relation of statistical group differences in seed-based FC derived from EEG and parallel fMRI. We found a significant increase in power and a frequency-specific change in functional connectivity for the inside MR-scanner compared to the outside MR-scanner condition. For power, we found reduced group difference between GGE and controls both in terms of statistical significance as well as effect size. Group differences for ImCoh remained similar both in terms of statistical significance as well as effect size. We found increased seed-based FC for GGE patients from the thalamus to the precuneus cortex region in fMRI, and in the theta band of simultaneous EEG. Our findings suggest that the analysis of EEG functional connectivity based on ImCoh is suitable for MR-EEG, and that relative group difference in a comparison of patients with GGE against controls are preserved. Spatial correspondence of seed-based FC group differences between the two modalities was found for the thalamus.

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EEG functional connectivity of the intrahemispheric cortico-cortical network of idiopathic generalized epilepsy

Cited by 33 publications

References 73 publications

Juvenile myoclonic epilepsy: Clinical characteristics, standard and quantitative electroencephalography analyses

Juvenile myoclonic epilepsy: Clinical characteristics, standard and quantitative electroencephalography analyses

Connectomics and epilepsy

Comparison of Resting-State EEG Network Analyses With and Without Parallel MRI in Genetic Generalized Epilepsy

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