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Presented herein are recommendations for use of nirmatrelvir/ritonavir in patients with epilepsy, as issued by the Steering Committee of the Israeli chapter of the International League Against Epilepsy. The recommendations suggest that patients on moderate-to-strong enzyme-inducing antiseizure medications (ASMs) and everolimus should not be treated with nirmatrelvir/ritonavir; rectal diazepam may be used as an alternative to buccal midazolam; doses of ASMs that are cytochrome P450 (CYP3A4) substrates might be adjusted; and patients treated with combinations of nirmatrelvir/ritonavir and ASMs that are CYP3A4 substrates or lamotrigine should be monitored for drug efficacy and adverse drug reactions.

Summary Objective Interictal high frequency oscillations (HFOs) in the 40–200 Hz range have been identified in scalp electroencephalography (EEG) recordings of patients with focal epilepsy. HFOs usually co-occur with interictal epileptiform discharges (IEDs), and are specific and accurate markers for the epileptic focus, but the brain regions involved when HFOs are generated are unknown. We investigated this question with combined EEG–functional magnetic resonance imaging (fMRI), measuring the blood oxygenation level–dependent (BOLD) signal, and examined HFOs in the gamma (40–80 Hz) and ripple (80–200 Hz) bands. Methods Twenty-eight consecutive patients with focal epilepsy who underwent HFO and EEG-fMRI studies were selected; six were excluded because of negative EEG-fMRI. The remaining 22 patients were divided into two equal groups (11 patients each) based on the frequency of co-occurrence of gamma or ripples with IEDs: low versus high gamma (LG/HG) and low versus high ripples (LR/HR). Results No significant changes were found in the BOLD characteristics between the LG and HG groups. As a group, HR had a larger IED concordant BOLD cluster than the LR group, despite similar IED rates. In addition, the HR group had significantly more thalamic BOLD changes than the LR group (11/11 vs. 2/11). In HR, 5 of 11 patients had thalamic activation only, 4 of 11 had thalamic deactivation only, and 2 of 11 had activation and deactivation in different thalamic regions. In the LR group, 2 of 11 had thalamic activation. The lateralization of thalamic BOLD responses was concordant with the lateralization of cortical ripples in 12 of 13 patients. Significance Scalp IEDs, when frequently accompanied by HFOs in the ripple but not in the gamma band, are associated with larger cortical metabolic responses and with thalamic involvement lateralized to the side of cortical ripples. We propose that a high rate of epileptic ripples is associated with a more active pathologic cortical-thalamocortical network.

Electroencephalography–functional magnetic resonance imaging (EEG-fMRI) is a noninvasive technique that allows visualizing the brain’s hemodynamic changes associated with epileptic activity. This method utilizes the high temporal resolution of EEG and the high spatial resolution of fMRI to study metabolic activity of the whole brain, simultaneously. EEG-fMRI has become a valuable tool in the presurgical evaluation of patients with pharmacoresistant epilepsy and to study epileptic networks (Zijlmans et al., 2007; Gotman, 2008; Thornton et al., 2010). Group analyses of EEG-fMRI scans from selected sets of patients demonstrate metabolic changes that may not be apparent in individual patients. For instance, studies of patients with generalized epilepsies show common bilateral activation in cortical regions, thalami, and cerebellum, whereas the caudate nuclei and default mode network (DMN) regions were deactivated (Gotman et al., 2005; Carney et al., 2010; Siniatchkin et al., 2011). The extent of networks involved in focal epileptic activity is much less clear; group analysis of EEG-fMRI has been limited to studies of temporal lobe epilepsy (TLE) and heterogeneous groups of focal epilepsy patients and using 1.5 Tesla scans (Laufs et al., 2007; Kobayashi et al., 2009; Laufs et al., 2011). A group analysis of 19 patients with different focal epileptic syndromes converged to a single activation cluster in the ipsilateral anterior piriform cortex (Laufs et al., 2011). We report the epileptic networks associated with focal interictal epileptiform discharges (IEDs) using 3T EEG-fMRI. We selected patients with TLE, frontal lobe epilepsy (FLE), and posterior quadrant epilepsy (PQE) and performed group analyses. We describe blood oxygen–level dependent (BOLD) responses of cortical, subcortical, and DMN regions differentially involved in each patient group.

Summary Purpose Simultaneous electroencephalography/functional magnetic resonance imaging (EEG/fMRI) recording can noninvasively map in the whole brain the hemodynamic response following an interictal epileptic discharge. EEG/fMRI is gaining interest as a presurgical evaluation tool. This study aims to determine how hemodynamic responses related to epileptic activity can help predict surgical outcome in patients considered for epilepsy surgery. Methods Thirty-five consecutive patients with focal epilepsy who had significant hemodynamic responses and eventually surgical resection, were studied. The statistical map of hemodynamic responses were generated and coregistered to postoperative anatomic imaging. Patients were classified into four groups defined by the relative relationship between the location of the maximum hemodynamic response and the resection: group 1, fully concordant; group 2, partially concordant; group 3, partially discordant; and group 4, fully discordant. These findings were correlated with surgical outcome with at least 12-month follow-up. Key Findings Ten patients in group 1 had the maximum t value (t-max) inside the resection; nine in group 2 had the t-max outside but close to the resection and the cluster with t-max overlapped the resection; five in group 3 had the t-max remote from resection, but with another less significant cluster in the resection; and 11 in group 4 had no response in the resection. The degree of concordance correlated largely with surgical outcome: a good surgical outcome (Engel's class I) was found in 7 of 10 patients of group 1, 4 of 9 of group 2, 3 of 5 of group 3, and only 1 of 11 of group 4. These results indicate that the partially concordant and partially discordant groups are best considered as inconclusive. In contrast, in the fully concordant and fully discordant groups, the sensitivity, specificity, positive predictive value, and negative predictive value were high, 87.5%, 76.9%, 70%, and 90.9%, respectively. Significance This study demonstrates that hemodynamic responses related to epileptic activity can help delineate the epileptogenic region. Full concordance between maximum response and surgical resection is indicative of seizure freedom, whereas a resection leaving the maximum response intact is likely to lead to a poor outcome. EEG/fMRI is noninvasive but is limited to patients in whom interictal epileptic discharges can be recorded during the 60–90 min scan.

To assess the extent of brain involvement during focal epileptic activity, we studied patterns of cortical and subcortical metabolic changes coinciding with interictal epileptic discharges (IEDs) using group analysis of simultaneous electroencephalography and functional magnetic resonance imaging (EEG-fMRI) scans in patients with focal epilepsy.We selected patients with temporal lobe epilepsy (TLE, n = 32), frontal lobe epilepsy (FLE, n = 14), and posterior quadrant epilepsy (PQE, n = 20) from our 3 Tesla EEG-fMRI database. We applied group analysis upon the blood oxygen-level dependent (BOLD) response associated with focal IEDs.Patients with TLE and FLE showed activations and deactivations, whereas in PQE only deactivations occurred. In TLE and FLE, the largest activation was in the mid-cingulate gyri bilaterally. In FLE, activations were also found in the ipsilateral frontal operculum, thalamus, and internal capsule, and in the contralateral cerebellum, whereas in TLE, we found additional activations in the ipsilateral mesial and neocortical temporal regions, insula, and cerebellar cortex. All three groups showed deactivations in default mode network regions, the most widespread being in the TLE group, and less in PQE and FLE.These results indicate that different epileptic syndromes result in unique and widespread networks related to focal IEDs. Default mode regions are deactivated in response to focal discharges in all three groups with syndrome specific pattern. We conclude that focal IEDs are associated with specific networks of widespread metabolic changes that may cause more substantial disturbance to brain function than might be appreciated from the focal nature of the scalp EEG discharges.