Graph analysis of epileptogenic networks in human partial epilepsy
Top Cited Papers
Open Access
- 3 December 2010
- Vol. 52 (1), 84-93
- https://doi.org/10.1111/j.1528-1167.2010.02785.x
Abstract
Purpose: The current gold standard for the localization of the cortical regions responsible for the initiation and propagation of the ictal activity is through the use of invasive electrocorticography (ECoG). This method is utilized to guide surgical intervention in cases of medically intractable epilepsy by identifying the location and extent of the epileptogenic focus. Recent studies have proposed mechanisms in which the activity of epileptogenic cortical networks, rather than discrete focal sources, contributes to the generation of the ictal state. If true, selective modulation of key network components could be employed for the prevention and termination of the ictal state. Methods: Here, we have applied graph theory methods as a means to identify critical network nodes in cortical networks during both ictal and interictal states. ECoG recordings were obtained from a cohort of 25 patients undergoing presurgical monitoring for the treatment of intractable epilepsy at the Mayo Clinic (Rochester, MN, U.S.A.). Key Findings: One graph measure, the betweenness centrality, was found to correlate with the location of the resected cortical regions in patients who were seizure‐free following surgical intervention. Furthermore, these network interactions were also observed during random nonictal periods as well as during interictal spike activity. These network characteristics were found to be frequency dependent, with high frequency gamma band activity most closely correlated with improved postsurgical outcome as has been reported in previous literature. Significance: These findings could lead to improved understanding of epileptogenesis. In addition, this theoretically allows for more targeted therapeutic interventions through the selected modulation or disruption of these epileptogenic networks.Keywords
This publication has 44 references indexed in Scilit:
- Neocortical seizure foci localization by means of a directed transfer function methodEpilepsia, 2010
- Long-Term Effects of Temporal Lobe Epilepsy on Local Neural Networks: A Graph Theoretical Analysis of Corticography RecordingsPLOS ONE, 2009
- Identification of epileptogenic foci from causal analysis of ECoG interictal spike activityClinical Neurophysiology, 2009
- An fMRI Study of Functional Abnormalities in the Verbal Working Memory System and the Relationship to Clinical Symptoms in Chronic SchizophreniaCerebral Cortex, 2009
- A computational analysis of protein-protein interaction networks in neurodegenerative diseasesBMC Systems Biology, 2008
- Nonrandom connectivity of the epileptic dentate gyrus predicts a major role for neuronal hubs in seizuresProceedings of the National Academy of Sciences of the United States of America, 2008
- High-frequency oscillations in human temporal lobe: simultaneous microwire and clinical macroelectrode recordingsBrain, 2008
- Identification and Classification of Hubs in Brain NetworksPLOS ONE, 2007
- Graph theoretical analysis of complex networks in the brainNonlinear Biomedical Physics, 2007
- A new method of the description of the information flow in the brain structuresBiological Cybernetics, 1991