Observational studyJournal of neurology2020
Predicting the antiepileptic drug response by brain connectivity in newly diagnosed focal epilepsy.
Observational study in Journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- EEG CONNECT: A proposed reporting checklist for EEG-based connectivity studies in clinical epilepsy research.Epilepsia open · 2026Review
- Altered EEG Microstate Dynamics in First Unprovoked Seizure and Newly Diagnosed Epilepsy Patients.European journal of neurology · 2025Article
- Multi-Parameter MRI for Evaluating Glymphatic Impairment and White-Matter Abnormalities and Discriminating Refractory Epilepsy in Children.Korean journal of radiology · 2025Article
- The association between structural connectivity and anti-seizure medication response in patients with temporal lobe epilepsy.Epilepsia open · 2024Article
- Diffusion tensor imaging for detecting biomarkers of idiopathic epilepsy in dogs.Frontiers in veterinary science · 2024Review
- Structural connectivity as a predictive factor for responsiveness to levetiracetam treatment in epilepsy.Neuroradiology · 2024Article
- Predicting Sumatriptan Responsiveness Based on Structural Connectivity in Patients Newly Diagnosed With Migraine.Journal of clinical neurology (Seoul, Korea) · 2023Article
- Exploring the impact of hippocampal sclerosis on white matter tracts and memory in individuals with mesial temporal lobe epilepsy.Epilepsia open · 2023Article
- Brain networks and epilepsy development in patients with Alzheimer disease.Brain and behavior · 2023Article
- Structural brain network analysis in occipital lobe epilepsy.BMC neurology · 2023Article
- Glymphatic system function in patients with newly diagnosed focal epilepsy.Brain and behavior · 2022Article
- Network differences based on arterial spin labeling related to anti-seizure medication response in focal epilepsy.Neuroradiology · 2022Article
- Alterations of structural connectivity and structural co-variance network in focal cortical dysplasia.BMC neurology · 2021Article
- Altered structural connectome in non-lesional newly diagnosed focal epilepsy: Relation to pharmacoresistance.NeuroImage. Clinical · 2021Article
- White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study.Brain : a journal of neurology · 2020Article
- Glymphatic dysfunction as a predictor of response to lacosamide add-on therapy in drug-resistant focal epilepsy.Frontiers in neurologyArticle
- The cumulative impact of seizures: the science underlying how seizures beget seizures.Frontiers in neurologyReview
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveGrowing evidence has suggested that epilepsy is a disease with alterations in brain connectivity. The aim of this study was to investigate whether the changes in brain connectivity can predict the response to an antiepileptic drug (AED) in patients with a newly diagnosed focal epilepsy of unknown etiology.
methodsThis observational study was independently performed at two tertiary hospitals (Group A and B). Thirty-eight patients with newly diagnosed focal epilepsy of unknown etiology were enrolled in Group A and 46 patients in Group B. We divided these patients into two groups according to their seizure control after AED treatment: AED good and poor responders. We defined the AED good responders as those in whom had seizure free for at least the last 6 months while AED poor responders who were not. All of the subjects underwent diffusion tensor imaging, and graph theoretical analysis was applied to reveal the brain connectivity. We investigated the difference in the clinical characteristics and network measurements between the two groups.
resultsOf the network measures, the assortativity coefficient in the AED good responders was significantly higher than that in the AED poor responders in both Groups A and B (- 0.0239 vs. - 0.0473, p = 0.0110 in Group A; 0.0173 vs. - 0.0180, p = 0.0024 in Group B). The Kaplan-Meier survival analysis revealed that the time to failure to retain the first AED was significantly longer in the patients with assortative networks (assortativity coefficient > 0) than in those with disassortative networks (assortativity coefficient < 0) in Group B.
conclusionWe demonstrated that the assortativity coefficient differed between patients with newly diagnosed focal epilepsy of unknown etiology according to their AED responses, which suggests that the changes in brain connectivity could be a biomarker for predicting the responses to AED.
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