ArticlePloS one2013
Functional connectivity estimated from intracranial EEG predicts surgical outcome in intractable temporal lobe epilepsy.
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 45 papers, 1 of them a synthesis that pooled it.
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Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.
- Pooled it
- Directed graph neural networks with partial directed coherence for seizure prediction and epileptogenic network characterization.iScience · 2026Article
- Stronger pre-surgical functional connectivity networks are associated with improved surgical outcome in temporal lobe epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025Article
- Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy.NPJ systems biology and applications · 2025Article
- Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning.Scientific reports · 2025Article
- Preictal connectivity dynamics: Exploring inflow and outflow in iEEG networks.Frontiers in network physiology · 2025Article
- Impact of post-traumatic stress disorder on epileptogenic networks: a functional connectivity study.Scientific reports · 2024Article
- Machine learning algorithm for predicting seizure control after temporal lobe resection using peri-ictal electroencephalography.Scientific reports · 2024Article
- Increased coherence predicts medical refractoriness in patients with temporal lobe epilepsy on monotherapy.Scientific reports · 2024Article
- The interictal suppression hypothesis is the dominant differentiator of seizure onset zones in focal epilepsy.Brain : a journal of neurology · 2024Article
- Gamma amplitude-envelope correlations are strongly elevated within hyperexcitable networks in focal epilepsy.Scientific reports · 2024Article
- High-performance prediction of epilepsy surgical outcomes based on the genetic neural networks and hybrid iEEG marker.Scientific reports · 2024Article
- Metabolic connectivity as a predictor of surgical outcome in mesial temporal lobe epilepsy.Epilepsia open · 2024Article
- Epilepsy lesion localization method based on brain function network.Frontiers in human neuroscience · 2024Article
- Spike propagation mapping reveals effective connectivity and predicts surgical outcome in epilepsy.Brain : a journal of neurology · 2023Article
- Predicting seizure outcome after epilepsy surgery: Do we need more complex models, larger samples, or better data?Epilepsia · 2023Article
- Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future.Diagnostics (Basel, Switzerland) · 2023Review
- Novel noninvasive identification of patient-specific epileptic networks in focal epilepsies: Linking single-photon emission computed tomography perfusion during seizures with resting-state magnetoencephalography dynamics.Human brain mapping · 2023Article
- Epileptic seizure focus detection from interictal electroencephalogram: a survey.Cognitive neurodynamics · 2023Review
- Control of epileptic activities in a cortex network of multiple coupled neural populations under electromagnetic induction.Applied mathematics and mechanics · 2023Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This project aimed to determine if a correlation-based measure of functional connectivity can identify epileptogenic zones from intracranial EEG signals, as well as to investigate the prognostic significance of such a measure on seizure outcome following temporal lobe lobectomy. To this end, we retrospectively analyzed 23 adult patients with intractable temporal lobe epilepsy (TLE) who underwent an invasive stereo-EEG (SEEG) evaluation between January 2009 year and January 2012. A follow-up of at least one year was required. The primary outcome measure was complete seizure-freedom at last follow-up. Functional connectivity between two areas in the temporal lobe that were sampled by two SEEG electrode contacts was defined as Pearson's correlation coefficient of interictal activity between those areas. SEEG signals were filtered between 5 and 50 Hz prior to computing this correlation. The mean and standard deviation of the off diagonal elements in the connectivity matrix were also calculated. Analysis of the mean and standard deviation of the functional connections for each patient reveals that 90% of the patients who had weak and homogenous connections were seizure free one year after temporal lobectomy, whereas 85% of the patients who had stronger and more heterogeneous connections within the temporal lobe had recurrence of seizures. This suggests that temporal lobectomy is ineffective in preventing seizure recurrence for patients in whom the temporal lobe is characterized by weakly connected, homogenous networks. This pilot study shows promising potential of a simple measure of functional brain connectivity to identify epileptogenicity and predict the outcome of epilepsy surgery.
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