Modulation of epileptic networks by transient interictal epileptic activity: A dynamic approach to simultaneous EEG-fMRI.

Epileptic networks, defined as brain regions involved in epileptic brain activity, have been mapped by functional connectivity in simultaneous electroencephalography and functional magnetic resonance imaging (EEG-fMRI) recordings. This technique allows to define brain hemodynamic changes, measured by the Blood Oxygen Level Dependent (BOLD) signal, associated to the interictal epileptic discharges (IED), which together with ictal events constitute a signature of epileptic disease. Given the highly time-varying nature of epileptic activity, a dynamic functional connectivity (dFC) analysis of EEG-fMRI data appears particularly suitable, having the potential to identify transitory features of specific connections in epileptic networks. In the present study, we propose a novel method, defined dFC-EEG, that integrates dFC assessed by fMRI with the information recorded by simultaneous scalp EEG, in order to identify the connections characterised by a dynamic profile correlated with the occurrence of IED, forming the dynamic epileptic subnetwork. Ten patients with drug-resistant focal epilepsy were included, with different aetiology and showing a widespread (or multilobar) BOLD activation, defined as involving at least two distinct clusters, located in two different lobes and/or extended to the hemisphere contralateral to the epileptic focus. The epileptic focus was defined from the IED-related BOLD map. Regions involved in the occurrence of interictal epileptic activity; i.e., forming the epileptic network, were identified by a general linear model considering the timecourse of the fMRI-defined focus as main regressor. dFC between these regions was assessed with a sliding-window approach. dFC timecourses were then correlated with the sliding-window variance of the IED signal (VarIED), to identify connections whose dynamics related to the epileptic activity; i.e., the dynamic epileptic subnetwork. As expected, given the very different clinical picture of each individual, the extent of this subnetwork was highly variable across patients, but was but was reduced of at least 30% with respect to the initially identified epileptic network in 9/10 patients. The connections of the dynamic subnetwork were most commonly close to the epileptic focus, as reflected by the laterality index of the subnetwork connections, reported higher than the one within the original epileptic network. Moreover, the correlation between dFC timecourses and VarIED was predominantly positive, suggesting a strengthening of the dynamic subnetwork associated to the occurrence of IED. The integration of dFC and scalp IED offers a more specific description of the epileptic network, identifying connections strongly influenced by IED. These findings could be relevant in the pre-surgical evaluation for the resection or disconnection of the epileptogenic zone and help in reaching a better post-surgical outcome. This would be particularly important for patients characterised by a widespread pathological brain activity which challenges the surgical intervention.

Comparison of high gamma electrocorticography and fMRI with electrocortical stimulation for localization of somatosensory and language cortex.

OBJECTIVE: We investigated the contribution of electrocortical stimulation (ECS), induced high gamma electrocorticography (hgECoG) and functional magnetic resonance imaging (fMRI) for the localization of somatosensory and language cortex. METHODS: 23 Epileptic patients with subdural electrodes underwent a protocol of somatosensory stimulation and/or an auditory semantic decision task. 14 Patients did the same protocol with fMRI prior to implantation. RESULTS: ECS resulted in the identification of thumb somatosensory cortex in 12/16 patients. Taking ECS as a gold standard, hgECoG and fMRI identified 53.6/33% of true positive and 4/12% of false positive contacts, respectively. The hgECoG false positive sites were all found in the hand area of the post-central gyrus. ECS localized language-related sites in 7/12 patients with hgECoG and fMRI showing 50/64% of true positive and 8/23% of false positive contacts, respectively. All but one of the hgECoG/fMRI false positive contacts were located in plausible language areas. Four patients showed post-surgical impairments: the resection included the sites positively indicated by ECS, hgECoG and fMRI in 3 patients and a positive hgECoG site in one patient. CONCLUSIONS: HgECoG and fMRI provide additional localization information in patients who cannot sufficiently collaborate during ECS. SIGNIFICANCE: HgECoG and fMRI make the cortical mapping procedure more flexible not only by identifying priority cortical sites for ECS or when ECS is not feasible, but also when ECS does not provide any result.

Validation of a new device for transcutaneous oxygen pressure recordings in real and simulated exercise tests.

AIM: Measurement of transcutaneous oxygen pressure (tcpO2) is of interest in critical limb ischemia at rest and also during exercise in patients suffering proximal claudication or claudication of questionable origin. The recent commercialization of the computerized multiprobe-TCM400 device (Radiometer, Copenhagen, DK) appears attractive for exercise tests but comparison with the previous devices has not been reported. Indeed, the final endpoint for the physician is to be sure that a new apparatus will not interfere with the results observed in patients. METHODS: Using a 5 probe-TCM400 and 5 single probe-TCM3s, simultaneous recordings of tcpO2 were performed: 1) in vitro during 25 simulated exercises and 2) in vivo during exercise treadmill tests in 27 vascular patients. We analyzed resting (REST), minimal absolute (MIN) and DROP (limb-changes minus chest-changes) values. TcpO2 absolute and DROP profiles were analyzed through cross-correlation to detect response delays between the devices. RESULTS: In simulated tests, the Pearson coefficient of correlation between TCM400 and TCM3 was r=0.99 for REST, MIN and minimal DROP. In treadmill tests, the Pearson coefficient of correlation between TCM400 and TCM3 was significantly higher with minimal DROP (r=0.88) than with REST (r=0.63) or MIN (r=0.7). A 15 s delay was observed with TCM3 as compared to TCM400 responses for both tcpO2 and DROP profiles. The rmax(2) of the cross-correlation was 0.74 and 0.67 for tcpO2 and DROP, respectively. CONCLUSIONS: Our observations underline the limits of the clinical in vivo comparison of 2 transcutaneous devices. Despite the differences observed in absolute values during in vivo tests with simultaneous recordings (assumed to rely on physiological and not technical problems), we suggest that TCM400 is valid for exercise tests with the advantage of improved user interface, automatic memorization and integrated multiple probes of this newly commercially available apparatus.