Related Experiment Video
Updated: Dec 11, 2025

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
Published on: December 18, 2016
Orbitofrontal epilepsy: distinct neuronal networks underlying electroclinical subtypes and surgical outcomes
Baotian Zhao1, Chao Zhang1, Xiu Wang1
1Departments of1Neurosurgery.
Objective:
The aim of this study was to characterize the clinical and electrophysiological findings of epilepsy originating from the orbitofrontal cortex (OFC) as well as its surgical outcomes.
Methods:
The authors retrospectively reviewed 27 consecutive cases of patients with drug-resistant orbitofrontal epilepsy (OFE) who underwent tailored resective surgery after a detailed presurgical workup. Demographic features, seizure semiology, imaging characteristics, resection site, pathological results, and surgical outcomes were analyzed. Patients were categorized according to semiology. The underlying neural network was further explored through quantitative FDG-PET and ictal stereo-electroencephalography (SEEG) analysis at the group level. FDG-PET studies between the semiology group and the control group were compared using a voxel-based independent t-test. Ictal SEEG was quantified by calculating the energy ratio (ER) of high- and low-frequency bands. An ER comparison between the anterior cingulate cortex (ACC) and the amygdala was performed to differentiate seizure spreading patterns in groups with different semiology.
Results:
Scalp electroencephalography (EEG) and MRI were inconclusive to a large extent. Patients were categorized into the following 3 semiology groups: the frontal group (n = 14), which included patients with hyperactive automatisms with agitated movements; the temporal group (n = 11), which included patients with oroalimentary or manual automatisms; and the other group (n = 2), which included patients with none of the abovementioned or indistinguishable manifestations. Patients in the frontal and temporal groups (n = 23) or in the frontal group only (n = 14) demonstrated significant hypometabolism mainly across the ipsilateral OFC, ACC, and anterior insula (AI), while patients in the temporal group (n = 9) had hypometabolism only in the OFC and AI. The ER results (n = 15) suggested distinct propagation pathways that allowed us to differentiate between the frontal and temporal groups. Pathologies included focal cortical dysplasia, dysembryoplastic neuroepithelial tumor, cavernous malformation, glial scar, and nonspecific findings. At a minimum follow-up of 12 months, 19 patients (70.4%) were seizure free, and Engel class II, III, and IV outcomes were observed in 4 patients (14.8%), 3 patients (11.1%), and 1 patient (3.7%), respectively.
Conclusions:
The diagnosis of OFE requires careful presurgical evaluation. Based on their electrophysiological and metabolic evidence, the authors propose that varied semiological patterns could be explained by the extent of involvement of a network that includes at least the OFC, ACC, AI, and temporal lobe. Tailored resections for OFE may lead to a good overall outcome.
Insights
Orbitofrontal epilepsy (OFE) diagnosis requires thorough presurgical evaluation. Tailored resections of the orbitofrontal cortex network lead to good seizure control in most patients.
Area of Science:
- Neurology
- Neurosurgery
- Epileptology
Background:
- Orbitofrontal cortex epilepsy (OFE) presents diagnostic challenges due to often inconclusive scalp EEG and MRI findings.
- Understanding the clinical and electrophysiological characteristics of OFE is crucial for effective treatment.
Purpose of the Study:
- To characterize the clinical and electrophysiological findings of epilepsy originating from the orbitofrontal cortex (OFC).
- To evaluate the surgical outcomes for drug-resistant OFE.
- To explore the underlying neural network involved in OFE through advanced imaging and SEEG.
Main Methods:
- Retrospective review of 27 patients with drug-resistant OFE undergoing resective surgery.
- Categorization of patients based on seizure semiology (frontal, temporal, other).
- Quantitative FDG-PET and ictal stereo-EEG (SEEG) analysis to explore neural networks and seizure propagation.
Main Results:
- Scalp EEG and MRI were largely inconclusive.
- FDG-PET revealed hypometabolism in the OFC, ACC, and AI, varying with semiology.
- Ictal SEEG demonstrated distinct propagation pathways differentiating semiology groups.
- Pathologies included focal cortical dysplasia, tumors, and vascular malformations.
- 70.4% of patients achieved seizure freedom post-surgery (Engel class I).
Conclusions:
- OFE diagnosis necessitates comprehensive presurgical evaluation.
- Varied semiological patterns correlate with the extent of involvement of a network including OFC, ACC, AI, and temporal lobe.
- Tailored resections for OFE demonstrate favorable surgical outcomes.
More Related Videos
09:00Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex
Published on: April 15, 2015
12:09Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014