OBJECTIVE: Structural and functional imaging studies in focal epilepsy often reveal distributed regions of abnormality. These are interpreted as representing the existence of epileptic networks, but the presence of actual neuronal interactions between these regions has not been demonstrated. We sought to determine whether the distributed hemodynamic responses often seen in functional magnetic resonance imaging (fMRI) studies of scalp interictal epileptic discharges (IEDs) actually correspond to synchronized neuronal activities when examining the intracerebral electroencephalogram (iEEG) at distant nodes of the network. METHODS: We studied 28 patients who underwent first EEG-fMRI and then iEEG, and had significant hemodynamic responses in the gray matter. We coregistered the hemodynamic responses to the iEEG electrode contact positions and analyzed synchrony, measured by correlation, between IEDs recorded by iEEG in regions with and without hemodynamic responses. RESULTS: The synchrony of intracerebral IED activity between pairs of regions showing a hemodynamic response was higher compared to that between pairs of regions without (p < 0.0001) and between pairs of regions, one with and one without hemodynamic response (p < 0.0001). These differences were found during the interictal periods with IEDs but were absent during the interictal periods without IEDs. Higher synchrony was also observed between regions involved at seizure onset (p < 0.0001). INTERPRETATION: EEG-fMRI studies are unique in their ability to reveal hemodynamic concomitants of IEDs anywhere in the brain. This study proves that iEEG activity is synchronized between these regions of hemodynamic response, thus demonstrating the existence of an actual neuronally based interictal epileptic network. This also validates the EEG-fMRI approach to reveal this network noninvasively. Ann Neurol 2017;82:57-66.
OBJECTIVE: Structural and functional imaging studies in focal epilepsy often reveal distributed regions of abnormality. These are interpreted as representing the existence of epileptic networks, but the presence of actual neuronal interactions between these regions has not been demonstrated. We sought to determine whether the distributed hemodynamic responses often seen in functional magnetic resonance imaging (fMRI) studies of scalp interictal epileptic discharges (IEDs) actually correspond to synchronized neuronal activities when examining the intracerebral electroencephalogram (iEEG) at distant nodes of the network. METHODS: We studied 28 patients who underwent first EEG-fMRI and then iEEG, and had significant hemodynamic responses in the gray matter. We coregistered the hemodynamic responses to the iEEG electrode contact positions and analyzed synchrony, measured by correlation, between IEDs recorded by iEEG in regions with and without hemodynamic responses. RESULTS: The synchrony of intracerebral IED activity between pairs of regions showing a hemodynamic response was higher compared to that between pairs of regions without (p < 0.0001) and between pairs of regions, one with and one without hemodynamic response (p < 0.0001). These differences were found during the interictal periods with IEDs but were absent during the interictal periods without IEDs. Higher synchrony was also observed between regions involved at seizure onset (p < 0.0001). INTERPRETATION: EEG-fMRI studies are unique in their ability to reveal hemodynamic concomitants of IEDs anywhere in the brain. This study proves that iEEG activity is synchronized between these regions of hemodynamic response, thus demonstrating the existence of an actual neuronally based interictal epileptic network. This also validates the EEG-fMRI approach to reveal this network noninvasively. Ann Neurol 2017;82:57-66.
Authors: Robert C Wykes; Hui Ming Khoo; Lorenzo Caciagli; Hal Blumenfeld; Peyman Golshani; Jaideep Kapur; John M Stern; Andrea Bernasconi; Stefanie Dedeurwaerdere; Neda Bernasconi Journal: Epilepsia Date: 2019-06-09 Impact factor: 5.864
Authors: Hui Ming Khoo; Nicolás von Ellenrieder; Natalja Zazubovits; Daniel He; François Dubeau; Jean Gotman Journal: Neurology Date: 2018-07-13 Impact factor: 9.910
Authors: Karina A González Otárula; Hui Ming Khoo; Nicolás von Ellenrieder; Jeffery A Hall; François Dubeau; Jean Gotman Journal: Brain Date: 2018-03-01 Impact factor: 13.501
Authors: William P Nobis; Karina A González Otárula; Jessica W Templer; Elizabeth E Gerard; Stephen VanHaerents; Gregory Lane; Guangyu Zhou; Joshua M Rosenow; Christina Zelano; Stephan Schuele Journal: J Neurosurg Date: 2019-04-05 Impact factor: 5.115
Authors: Samuel S Harris; Luke W Boorman; Aneurin J Kennerley; Paul S Sharp; Chris Martin; Peter Redgrave; Theodore H Schwartz; Jason Berwick Journal: Neuroimage Date: 2017-12-30 Impact factor: 6.556
Authors: Hui Ming Khoo; Nicolás von Ellenrieder; Natalja Zazubovits; Jeffery A Hall; François Dubeau; Jean Gotman Journal: Ann Clin Transl Neurol Date: 2019-05-03 Impact factor: 4.511