Dynamic flexibility and controllability of network communities in juvenile myoclonic epilepsy

Juvenile myoclonic epilepsy (JME) is the most common syndrome within the idiopathic generalized epilepsy spectrum, manifested by myoclonic and generalized tonic-clonic seizures and spike-and-wave discharges (SWDs) on electroencephalography (EEG). Currently, the pathophysiological concepts addressing...

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Published in:Neurobiology of disease 2023-04, Vol.179, p.106055-106055, Article 106055
Main Authors: Vataman, Anatolie, Ciolac, Dumitru, Chiosa, Vitalie, Aftene, Daniela, Leahu, Pavel, Winter, Yaroslav, Groppa, Stanislav A., Gonzalez-Escamilla, Gabriel, Muthuraman, Muthuraman, Groppa, Sergiu
Format: Article
Language:English
Subjects:
Basal Ganglia
Brain - diagnostic imaging
Controllability
Electroencephalography - methods
Female
Flexibility
Humans
Juvenile myoclonic epilepsy
Myoclonic Epilepsy, Juvenile - diagnosis
Myoclonic Epilepsy, Juvenile - drug therapy
Network community
Seizures
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Summary:Juvenile myoclonic epilepsy (JME) is the most common syndrome within the idiopathic generalized epilepsy spectrum, manifested by myoclonic and generalized tonic-clonic seizures and spike-and-wave discharges (SWDs) on electroencephalography (EEG). Currently, the pathophysiological concepts addressing SWD generation in JME are still incomplete. In this work, we characterize the temporal and spatial organization of functional networks and their dynamic properties as derived from high-density EEG (hdEEG) recordings and MRI in 40 JME patients (25.4 ± 7.6 years, 25 females). The adopted approach allows for the construction of a precise dynamic model of ictal transformation in JME at the cortical and deep brain nuclei source levels. We implement Louvain algorithm to attribute brain regions with similar topological properties to modules during separate time windows before and during SWD generation. Afterwards, we quantify how modular assignments evolve and steer through different states towards the ictal state by measuring characteristics of flexibility and controllability. We find antagonistic dynamics of flexibility and controllability within network modules as they evolve towards and undergo ictal transformation. Prior to SWD generation, we observe concomitantly increasing flexibility (F(1,39) = 25.3, corrected p 
ISSN:0969-9961
1095-953X
DOI:10.1016/j.nbd.2023.106055