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Updated: Jan 26, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
Electroencephalographic Resting-State Functional Connectivity of Benign Epilepsy with Centrotemporal Spikes
Hyun Soo Choi1, Yoon Gi Chung2, Sun Ah Choi3
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea.
Resting-state functional connectivity in benign epilepsy with centrotemporal spikes (BECTS) patients shows decreased global connectivity and lower efficiency in the lower alpha band compared to controls, despite normal EEG appearance.
Area of Science:
- Neuroscience
- Epilepsy Research
- Brain Connectivity
Background:
- Benign epilepsy with centrotemporal spikes (BECTS) often presents with normal-appearing routine EEG.
- Subtle alterations in resting-state functional connectivity may exist in BECTS patients.
Purpose of the Study:
- To investigate resting-state functional connectivity (RSFC) in BECTS patients using spike-free EEG data.
- To identify EEG-based connectivity differences not apparent in standard visual inspection.
Main Methods:
- Thirty BECTS patients and 30 controls underwent resting-state EEG recording.
- EEG data were analyzed using the weighted phase lag index (wPLI) across delta, theta, lower alpha, upper alpha, and beta bands.
- Network topology metrics including global wPLI, characteristic path length (CPL), and clustering coefficient were compared.
Main Results:
- BECTS patients exhibited altered RSFC and network topology compared to controls.
- Lower alpha and beta band connectivity showed significantly reduced wPLI values in BECTS.
- Global wPLI was significantly lower and CPL significantly longer in the lower alpha band for BECTS patients.
Conclusions:
- Significant differences in resting-state functional connectivity exist between BECTS patients and controls.
- BECTS is associated with decreased global connectivity and reduced network efficiency in the lower alpha band.
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Published on: December 18, 2016
08:23A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
Published on: November 13, 2016
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