ArticlePloS one2013
Altered resting state brain dynamics in temporal lobe epilepsy can be observed in spectral power, functional connectivity and graph theory metrics.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.
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Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Reproducibility of graph-theoretic brain network metrics: a systematic review.Brain connectivity · 2015Pooled it
- Pooled it
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- Brain adaptations in challenging walking task of people with stroke: an experimental study.Journal of neuroengineering and rehabilitation · 2026Article
- Dynamic EEG network responses to acupuncture stimulation in patients with stroke: a neurophysiological study.Frontiers in neuroscience · 2026Article
- Impact of binaural beat stimulation on working memory: a graph theory network approach.Frontiers in neuroscience · 2025Article
- MiR-324-5p inhibition after intrahippocampal kainic acid-inducedFrontiers in neurology · 2023Article
- Diagnosis of Epilepsy with Functional Connectivity in EEG after a Suspected First Seizure.Bioengineering (Basel, Switzerland) · 2022Article
- Resting-State EEG Functional Connectivity in Children with Rolandic Spikes with or without Clinical Seizures.Biomedicines · 2022Article
- Reproducibility of graph measures derived from resting-state MEG functional connectivity metrics in sensor and source spaces.Human brain mapping · 2022Article
- Signal complexity indicators of health status in clinical EEG.Scientific reports · 2021Article
- Changes in the Functional Brain Network of Children Undergoing Repeated Epilepsy Surgery: An EEG Source Connectivity Study.Diagnostics (Basel, Switzerland) · 2021Article
- A computational biomarker of juvenile myoclonic epilepsy from resting-state MEG.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021Article
- Epileptiform discharges relate to altered functional brain networks in autism spectrum disorders.Brain communications · 2021Article
- Power Spectral Differences between Transient Epileptic and Global Amnesia: An eLORETA Quantitative EEG Study.Brain sciences · 2020Article
- Lateralization of epilepsy using intra-hemispheric brain networks based on resting-state MEG data.Human brain mapping · 2020Article
- Effect of interictal epileptiform discharges on EEG-based functional connectivity networks.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020Article
- Emerging roles of network analysis for epilepsy.Epilepsy research · 2020Review
- Global brain network dynamics predict therapeutic responsiveness to cannabidiol treatment for refractory epilepsy.Brain communications · 2020Article
- Revealing epilepsy type using a computational analysis of interictal EEG.Scientific reports · 2019Article
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5 authors.
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Abstract
Despite a wealth of EEG epilepsy data that accumulated for over half a century, our ability to understand brain dynamics associated with epilepsy remains limited. Using EEG data from 15 controls and 9 left temporal lobe epilepsy (LTLE) patients, in this study we characterize how the dynamics of the healthy brain differ from the "dynamically balanced" state of the brain of epilepsy patients treated with anti-epileptic drugs in the context of resting state. We show that such differences can be observed in band power, synchronization and network measures, as well as deviations from the small world network (SWN) architecture of the healthy brain. The θ (4-7 Hz) and high α (10-13 Hz) bands showed the biggest deviations from healthy controls across various measures. In particular, patients demonstrated significantly higher power and synchronization than controls in the θ band, but lower synchronization and power in the high α band. Furthermore, differences between controls and patients in graph theory metrics revealed deviations from a SWN architecture. In the θ band epilepsy patients showed deviations toward an orderly network, while in the high α band they deviated toward a random network. These findings show that, despite the focal nature of LTLE, the epileptic brain differs in its global network characteristics from the healthy brain. To our knowledge, this is the only study to encompass power, connectivity and graph theory metrics to investigate the reorganization of resting state functional networks in LTLE patients.
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