Network characteristics of genetic generalized epilepsy: Are the syndromes distinct?

Lee, Dong Ah; Kim, Byung Joon; Lee, Ho‐Joon; Kim, Sung Eun; Park, Kang Min

doi:10.1016/j.seizure.2020.09.022

Cited by 24 publications

(22 citation statements)

References 48 publications

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“…IGE patients presented no structural abnormalities on a standard brain magnetic resonance image, but they showed significant differences in the structural and functional connectivity when compared with healthy controls ( 27 ). The global efficiency, local efficiency, and clustering coefficients of the structural connectivity in patients with IGE were significantly decreased, whereas the characteristic path length and small-worldness index were increased ( 27 ). In patients with IGE, The global efficiency and local efficiency were increased and the small-worldness index decreased in the functional connectivity ( 27 ).…”

Section: Discussionmentioning

confidence: 99%

“…The global efficiency, local efficiency, and clustering coefficients of the structural connectivity in patients with IGE were significantly decreased, whereas the characteristic path length and small-worldness index were increased ( 27 ). In patients with IGE, The global efficiency and local efficiency were increased and the small-worldness index decreased in the functional connectivity ( 27 ). Using graph theoretical network analysis derived from whole-brain magnetoencephalography recordings, patients with IGE showed a widespread increase in connectivity when compared to healthy controls ( 28 ).…”

Section: Discussionmentioning

confidence: 99%

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Altered Resting-State Electroencephalography Microstates in Idiopathic Generalized Epilepsy: A Prospective Case-Control Study

Jiang

Zhu

et al. 2021

Front. Neurol.

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Objective: Idiopathic generalized epilepsy (IGE) involves aberrant organization and functioning of large-scale brain networks. This study aims to investigate whether the resting-state EEG microstate analysis could provide novel insights into the abnormal temporal and spatial properties of intrinsic brain activities in patients with IGE.Methods: Three groups of participants were chosen for this study (namely IGE-Seizure, IGE-Seizure Free, and Healthy Controls). EEG microstate analysis on the resting-state EEG datasets was conducted for all participants. The average duration (“Duration”), the average number of microstates per second (“Frequency”), as well as the percentage of total analysis time occupied in that state (“Coverage”) of the EEG microstate were compared among the three groups.Results: For microstate classes B and D, the differences in Duration, Frequency, and Coverage among the three groups were not statistically significant. Both Frequency and Coverage of microstate class A were statistically significantly larger in the IGE-Seizure group than in the other two groups. The Duration and Coverage of microstate class C were statistically significantly smaller in the IGE-Seizure group than those in the other two groups.Conclusions: The Microstate class A was regarded as a sensorimotor network and Microstate class C was mainly related to the salience network, this study indicated an altered sensorimotor and salience network in patients with IGE, especially in those who had experienced seizures in the past 2 years, while the visual and attention networks seemed to be intact.Significance: The temporal dynamics of resting-state networks were studied through EEG microstate analysis in patients with IGE, which is expected to generate indices that could be utilized in clinical researches of epilepsy.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Altered Resting-State Electroencephalography Microstates in Idiopathic Generalized Epilepsy: A Prospective Case-Control Study

Jiang

Zhu

et al. 2021

Front. Neurol.

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“…[19] The analysis method has been described in detail in our earlier studies. [20,21] Brie y, we obtained the structural volume of 81 ROIs using a FreeSurfer cortical reconstruction process. We used the order of "recon-all".…”

Section: Structural Connectivity and Structural Co-variance Network Analysis Using Graph Theorymentioning

confidence: 99%

Alterations of structural connectivity and structural co-variance network in focal cortical dysplasia

Lee

Kim

et al. 2021

Preprint

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Background The aim of this study was to investigate alterations in structural connectivity and structural co-variance network in patients with focal cortical dysplasia (FCD). Methods We enrolled 37 patients with FCD and 35 healthy controls. All subjects underwent brain MRI with the same scanner and with the same protocol, which included diffusion tensor imaging (DTI) and T1-weighted imaging. We analyzed the structural connectivity based on DTI, and structural co-variance network based on the structural volume with T1-weighted imaging. We created a connectivity matrix and obtained network measures from the matrix using the graph theory. We tested the difference in network measure between patients with FCD and healthy controls. Results In the structural connectivity analysis, we found that the local efficiency in patients with FCD was significantly lower than in healthy controls (2.390 vs. 2.578, p = 0.031). Structural co-variance network analysis revealed that the mean clustering coefficient, global efficiency, local efficiency, and transitivity were significantly decreased in patients with FCD compared to those in healthy controls (0.527 vs. 0.635, p = 0.036; 0.545 vs. 0.648, p = 0.026; 2.699 vs. 3.801, p = 0.019; 0.791 vs. 0.954, p = 0.026, respectively). Conclusion We demonstrate that there are significant alterations in structural connectivity, based on DTI, and structural co-variance network, based on the structural volume, in patients with FCD compared to healthy controls. These findings suggest that focal lesions with FCD could affect the whole-brain network and that FCD is a network disease.

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“…Although there is strong evidence to support that IGE syndromes share pathophysiological and genetic relationships, 71 it is possible that connectivity features vary between subtypes. 72 Further studies with larger sample numbers are needed to explore whether IGE subtypes have different network features. Larger collaborations between institutions could help increase sample numbers 73 , 74 and clarify these areas of uncertainty.…”

Section: Discussionmentioning

confidence: 99%

Functional network topology in drug resistant and well-controlled idiopathic generalized epilepsy: a resting state functional MRI study

Pegg

McKavanagh

Bracewell

et al. 2021

Brain Communications

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Despite an increasing number of drug treatment options for people with idiopathic generalized epilepsy (IGE), drug resistance remains a significant issue and the mechanisms underlying it remain poorly understood. Previous studies have largely focused on potential cellular or genetic explanations for drug resistance. However, epilepsy is understood to be a network disorder and there is a growing body of literature suggesting altered topology of large-scale resting networks in people with epilepsy compared with controls. We hypothesize that network alterations may also play a role in seizure control. The aim of this study was to compare resting state functional network structure between well-controlled IGE (WC-IGE), drug resistant IGE (DR-IGE) and healthy controls. Thirty-three participants with IGE (10 with WC-IGE and 23 with DR-IGE) and 34 controls were included. Resting state functional MRI networks were constructed using the Functional Connectivity Toolbox (CONN). Global graph theoretic network measures of average node strength (an equivalent measure to mean degree in a network that is fully connected), node strength distribution variance, characteristic path length, average clustering coefficient, small-world index and average betweenness centrality were computed. Graphs were constructed separately for positively weighted connections and for absolute values. Individual nodal values of strength and betweenness centrality were also measured and ‘hub nodes’ were compared between groups. Outcome measures were assessed across the three groups and between both groups with IGE and controls. The IGE group as a whole had a higher average node strength, characteristic path length and average betweenness centrality. There were no clear differences between groups according to seizure control. Outcome metrics were sensitive to whether negatively correlated connections were included in network construction. There were no clear differences in the location of ‘hub nodes’ between groups. The results suggest that, irrespective of seizure control, IGE interictal network topology is more regular and has a higher global connectivity compared to controls, with no alteration in hub node locations. These alterations may produce a resting state network that is more vulnerable to transitioning to the seizure state. It is possible that the lack of apparent influence of seizure control on network topology is limited by challenges in classifying drug response. It is also demonstrated that network topological features are influenced by the sign of connectivity weights and therefore future methodological work is warranted to account for anticorrelations in graph theoretic studies.

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Network characteristics of genetic generalized epilepsy: Are the syndromes distinct?

Cited by 24 publications

References 48 publications

Altered Resting-State Electroencephalography Microstates in Idiopathic Generalized Epilepsy: A Prospective Case-Control Study

Altered Resting-State Electroencephalography Microstates in Idiopathic Generalized Epilepsy: A Prospective Case-Control Study

Alterations of structural connectivity and structural co-variance network in focal cortical dysplasia

Functional network topology in drug resistant and well-controlled idiopathic generalized epilepsy: a resting state functional MRI study

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