A comparative study between a power and a connectivity sEEG biomarker for seizure-onset zone identification in temporal lobe epilepsy.

BACKGROUND: Ictal stereo-encephalography (sEEG) biomarkers for seizure onset zone (SOZ) localization can be classified depending on whether they target abnormalities in signal power or functional connectivity between signals, and they may depend on the frequency band and time window at which they are estimated. NEW METHOD: This work aimed to compare and optimize the performance of a power and a connectivity-based biomarker to identify SOZ contacts from ictal sEEG recordings. To do so, we used a previously introduced power-based measure, the normalized mean activation (nMA), which quantifies the ictal average power activation. Similarly, we defined the normalized mean strength (nMS), to quantify the ictal mean functional connectivity of every contact with the rest. The optimal frequency bands and time windows were selected based on optimizing AUC and F2-score. RESULTS: The analysis was performed on a dataset of 67 seizures from 10 patients with pharmacoresistant temporal lobe epilepsy. Our results suggest that the power-based biomarker generally performs better for the detection of SOZ than the connectivity-based one. However, an equivalent performance level can be achieved when both biomarkers are independently optimized. Optimal performance was achieved in the beta and lower-gamma range for the power biomarker and in the lower- and higher-gamma range for connectivity, both using a 20 or 30 s period after seizure onset. CONCLUSIONS: The results of this study highlight the importance of this optimization step over frequency and time windows when comparing different SOZ discrimination biomarkers. This information should be considered when training SOZ classifiers on retrospective patients' data for clinical applications.

Cognitive outcome after stereo-electroencephalography-guided radiofrequency thermocoagulation in temporal lobe epilepsy.

OBJECTIVE: Stereo-electroencephalography (SEEG)-guided radiofrequency thermocoagulation (RFTC) is being used incrementally in the invasive diagnosis of epilepsy. There is currently a lack of information regarding the potential cognitive consequences of the extended use of this technique. This work describes, for the first time, the cognitive outcomes after RFTC in patients with temporal lobe epilepsy (TLE), evaluated longitudinally and using a control group. METHODS: Forty-eight adult patients with drug-resistant unilateral TLE (30 RFTC-treated patients and 18 controls) were evaluated using a comprehensive neuropsychological protocol at baseline. In the RFTC group, two follow-up assessments were performed at 3 months and 1 year. The control group was reevaluated after 1 year. Two analyses were performed: 1) group-level analyses, in which linear mixed models were applied according to TLE lateralization (intragroup and intergroup [RFTC vs control] comparisons), and 2) individual-level analyses, in which the Reliable Change Index (RCI) algorithm was developed and a 90% CI (cutoff ± 1.64) was used to describe neuropsychological outcomes at 1 year post-RFTC. A memory subanalysis was performed in hippocampal RFTC patients (25/30). A Spearman coefficient study was conducted to determine the correlation between cognitive change and thermocoagulated contacts. RESULTS: Left- and right-sided TLE patients treated with RFTC showed cognitive preservation at baseline. At a group level, the short-term evaluation, including verbal and visual memory, language, and executive functions, showed preservation in these domains and no significant differences compared with baseline. In the long-term follow-up assessment (1 year after RFTC), no significant intragroup changes were found, nor were significant changes found in comparison with the control group. The RCI algorithm showed that significant individual cognitive losses and gains were infrequent. Three patients presented with naming deficits, only 1 (3.3%) of whom showed a clinically significant deficit. Significant gains were more prevalent in executive function tests with a speed component (4/20 left-sided RFTC patients). Twenty-five of the 30 (83%) patients were treated with hippocampal RFTC. No patients experienced significant loss in verbal delayed memory in the left-sided RFTC sample or in visual delayed memory in the right-sided RFTC sample. The correlations between cognitive change and RFTC contacts were mostly nonsignificant. CONCLUSIONS: In the group-level comparisons, discernible cognitive impairment following RFTC was not evidenced. The majority of patients did not exhibit significant individual declines during the 1-year follow-up period. Notably, the procedural intervention yielded no substantial repercussions on memory functioning following hippocampal RFTC. These findings underscore the evidence supporting the cognitive preservation associated with SEEG-guided RFTC.

Rapid intravenous loading of brivaracetam during invasive and non-invasive video-EEG monitoring.

PURPOSE: The pharmacokinetics of Brivaracetam (BRV) and its ability to penetrate the blood-brain barrier quickly make it a suitable drug for emergencies. In this study, our aim was to investigate the tolerability, safety, and acute efficacy of rapid intravenous (IV) loading of BRV during invasive and non-invasive video-EEG monitoring in patients with drug-resistant focal epilepsy (DRFE). METHODS: Eleven adult patients, six during stereo-electroencephalography (SEEG) and five in scalp video-EEG evaluation, received a 10-minute IV infusion of BRV 100 mg after a period of total withdrawal from antiseizure medications (ASMs). The ictal and interictal EEG activity was assessed through visual and spectrographic analysis before and after intravenous BRV administration. Patients completed the Liverpool Adverse Events Profile (LAEP) scale to evaluate tolerability and adverse events. RESULTS: Rapid BRV IV infusion was well tolerated in all patients. The mean LAEP values showed no significant differences (p = 0.40). Loading BRV resulted in a reduction in interictal activity in six patients. The mean seizure frequency significantly decreased five hours after BRV administration (a 79.2 % reduction across the entire group, p = 0.027). A significant change in spectral band analysis was observed ten minutes after BRV administration. CONCLUSION: Our data suggest that rapid BRV IV infusion has a favorable safety profile and is effective in controlling seizure series in the short term. The electrophysiological changes observed ten minutes after the BRV load correlate with its effects on brain dynamics after blood-brain barrier diffusion.

Insular Role in Blood Pressure and Systemic Vascular Resistance Regulation.

OBJECTIVES: The insula is a brain area involved in the modulation of autonomic responses. Previous studies have focused mainly on its heart rate regulatory function, but its role in vascular control is not well defined. Ictal/postictal blood pressure (BP) fluctuations may have a role in the pathogenesis of sudden unexpected death in epilepsy. This study aims to characterize the insular influence on vascular regulation through direct high-frequency electrical stimulation (E-stim) of different insular regions during stereo-electroencephalographic studies. MATERIALS AND METHODS: An observational, prospective study was conducted, involving people with epilepsy who underwent E-stim of depth electrodes implanted in the insular cortex. Patients with anatomical or electrophysiological insular abnormalities, E-stim producing after discharges, or any elicited symptoms were excluded. Variations of BP and systemic vascular resistance (SVR) during the insular stimuli were analyzed, comparing them with those observed during E-stim of control contacts implanted in cortical noneloquent regions and sham stimulations. RESULTS: Fourteen patients were included, five implanted in the right insula and nine in the left. We analyzed 14 stimulations in the right insula, 18 in the left insula, 18 in control electrodes, and 13 sham stimulations. Most right insular responses were hypertensive, whereas most left ones were hypotensive. E-stim of the right insula produced a significant BP and SVR increase, whereas the left insula induced a significant BP decrease without SVR changes. The most remarkable changes were elicited in both posterior insulas, although the magnitude of BP changes was generally low. Control and sham stimulations did not induce BP or SVR changes. CONCLUSION: Our findings on insular stimulation suggest an interhemispheric difference in its vascular regulatory function, with a vasopressor effect of the right insula and a vasodilator effect of the left one.

Stereo-electroencephalography-guided radiofrequency thermocoagulation in patients with MRI-negative focal epilepsy.

OBJECTIVE: Coupled with stereo-electroencephalography (SEEG), radiofrequency thermocoagulation (RFTC) has emerged as a therapeutic alternative for patients with refractory focal epilepsy, with proven safe but highly variable results across studies. The authors aimed to describe the outcomes and safety of SEEG-RFTC, focusing on patients with MRI-negative epilepsy. METHODS: A retrospective observational study was conducted on patients evaluated by SEEG in the authors' center. Of 84 total cases, 55 underwent RFTC, with 31 MRI-negative epilepsies that were ultimately included in the study. The primary outcome was freedom from disabling seizures at last follow-up. Secondary outcomes were reduction in seizure frequency (RFTC response = seizure frequency reduction > 50%), peri-interventional complications, and neuropsychological outcomes. Potential factors influencing post-RFTC outcome were considered by comparing different variables between responders and nonresponders. RESULTS: The mean follow-up period was 30.9 months (range 7.1-69.8 months). Three patients underwent subsequent resection/laser interstitial thermal therapy within the 1st year after RFTC failure. All other patients completed a minimum follow-up period of 1 year. Fourteen patients (45.2%) showed at least a 50% reduction in seizure frequency (responders), and 8 were seizure free (25.8% of the whole cohort). One case showed a permanent complication not directly related to thermolesions. Most patients (76%) showed no significant cognitive decline. Electrically elicited seizures (EESs) were observed in all seizure-free patients and were more frequent in responders (p = 0.038). All patients who were seizure free at the 6-month visit maintained their status during long-term follow-up. CONCLUSIONS: SEEG-RFTC is a safe procedure and leads to a good response in many cases of MRI-negative focal epilepsies. One-quarter of the patients were seizure free and almost one-half were responders at the last follow-up. Although these results are still far from those achieved through conventional resection, a nonnegligible proportion of patients may benefit from this one-stage and much less invasive approach. Factors associated with seizure outcome remain to be elucidated; however, responders were significantly more frequent among patients with EESs, and achieving 6 months of seizure freedom appears to predict a good long-term response. In addition, the positive predictive value of RFTC response may be a valuable factor in the decision to proceed to subsequent surgery.

Validation of direct cortical stimulation in presurgical evaluation of epilepsy.

OBJECTIVE: Direct cortical stimulation (DCS) is standard for intracranial presurgical evaluation in drug-resistant epilepsy (DRE). Few studies have reported levels of concordance between spontaneous seizure generators and triggered seizures during DCS. The present work reports validity measures of DCS for detecting the seizure onset zone (SOZ) during stereoelectroencephalography (SEEG). METHODS: We evaluated all patients who underwent SEEG evaluation at our epilepsy center between 2013 and 2019. Data were analyzed using contingency tables. Validity measures of the diagnostic test were computed for all patients evaluated with DCS and for seizure free patients. RESULTS: Fifty-eight consecutive patients were evaluated through DCS. One hundred seventy-three clinical seizures were elicited with DCS. Electroclinical identical to spontaneous seizures were considered true positive (TP) seizures. They showed a high specificity (96.9%) for detecting the SOZ in patients that remained seizure free one year after treatment. Sensitivity was low (23.0%), and a high percentage of false-negative stimulations was documented in the SOZ. The accuracy was 87.9%. CONCLUSIONS: DCS is a technique with high specificity but a low sensitivity for the localization of the SOZ. The DCS validity measures need to be known when considered for surgical decisions. The interpretation of DCS-triggered seizures and the differentiation of true-positive vs false-positive seizures should be carefully evaluated. SIGNIFICANCE: DCS seizure triggering is highly specific for SOZ localization.

Mood Disturbances, Anxiety, and Impact on Quality of Life in Patients Admitted to Epilepsy Monitoring Units.

Introduction: The overall combined prevalence of anxiety and depression in patients with epilepsy has been estimated at 20.2 and 22.9%, respectively, and is considered more severe in drug-refractory epilepsy. Patients admitted to epilepsy monitoring units constitute a particular group. Also, patients with psychogenic non-epileptic seizures can reach more than 20% of all admissions. This study aims to characterize these symptoms in a large cohort of patients admitted for evaluation in a tertiary epilepsy center. Materials and Methods: The study was conducted among 493 consecutive patients (age: 38.78 ± 12.7, 57% females) admitted for long-term video EEG from January 2013 to February 2021. Demographic, clinical, and mood disorder patients' data were collected. Anxiety and depression symptoms were assessed through the Hospital Anxiety Depression Scale (HADS-A and HADS-D), the State Trait Anxiety Inventory (STAI), and Beck Depression Inventory (BDI-II). Quality of life was determined using the QOLIE-10. Patients were divided into three groups: patients with epilepsy (n = 395), psychogenic non-epileptic seizures (PNES) (n = 56), and combined (n = 33). A univariate and multivariate regression analysis was performed for variables associated with quality of life. Results: Of 493 patients, 45.0% had structural etiology, and considering epilepsy classification, 43.6% were of temporal lobe origin. In addition, 32.45% of patients had a previous psychiatric history, 49.9% of patients had depressive symptoms in BDI, and 30.9% according to HADS-D; 56.42 and 52.63% of patients presented pathological anxiety scores in STAI-T and STAI-S, respectively; and 44.78% according to HADS-A. PNES and combined groups revealed a higher incidence of pathologic BDI scores (64.29 and 78.79%, p < 0.001) as well as pathologic HADS-A scores (p = 0.001). Anxiety and depression pathologic results are more prevalent in females, HADS-A (females = 50.7%, males = 36.8%; p = 0.0027) and BDI > 13 (females = 56.6%, males = 41.0%; p = 0.0006). QOLIE-10 showed that 71% of the patients had their quality of life affected with significantly higher scores in the combined group than in the epilepsy and PNES groups (p = 0.0015). Conclusions: Subjective anxiety, depression, and reduced quality of life are highly prevalent in patients with refractory epilepsy. These symptoms are more evident when PNES are associated with epilepsy and more severe among female patients. Most of the cases were not previously diagnosed. These factors should be considered in everyday clinical practice, and specific approaches might be adapted depending on the patient's profile.

COVID-19 prevalence and mortality in people with epilepsy: A nation-wide multicenter study.

BACKGROUND: To assess the prevalence, severity, and mortality of COVID-19 in people with epilepsy (PWE) and evaluate seizure control in PWE during and after COVID-19. METHODS: Retrospective, observational, multicenter study conducted in 14 hospitals. Medical records of randomly selected PWE followed at neurology outpatient clinics were reviewed. Proportion of PWE with a positive test for SARS-CoV-2 during 2020 was calculated. Risk factors associated with COVID-19 and its morbimortality were evaluated. RESULTS: 2751 PWE were included, mean age 48.8 years (18-99), 72.4% had focal epilepsy, and 35% were drug-refractory. COVID-19 prevalence in PWE was 5.53%, while in the Spanish population was 4.26%. Proportion of admissions to hospital, ICU, and deaths in PWE were 17.1%, 2%, and 4.61% of COVID-19 cases, while in Spanish population were 10.81%, 0.95%, and 2.57%, respectively. A severe form of COVID-19 occurred in 11.8%; dyslipidemia, institutionalization at long-term care facilities, intellectual disability, and older age were associated risk factors. Older age, hypertension, dyslipidemia, cardiac disease, and institutionalization were associated with mortality from COVID-19. Seizure control was stable in 90.1% of PWE during acute COVID-19, while 8.6% reported an increase in seizure frequency. During post-COVID-19 follow-up, 4.6% reported seizure control worsening. CONCLUSIONS: COVID-19 was moderately prevalent in PWE. One out of 5 patients required medical attention and 4.6% died due to COVID-19. Older age, dyslipidemia, institutionalization, and intellectual disability were significant risk factors associated with severe COVID-19. Seizure control remained stable during COVID-19 and throughout long-term follow-up in most PWE who contracted the infection.

Characterization of the Insular Role in Cardiac Function through Intracranial Electrical Stimulation of the Human Insula.

OBJECTIVE: The link between brain function and cardiovascular dynamics is an important issue yet to be elucidated completely. The insula is a neocortical brain area that is thought to have a cardiac chronotropic regulatory function, but its role in cardiac contractility is unknown. We aimed to analyze the variability in heart rate and cardiac contractility after functional activation of different insular regions through direct electrical stimulation (E-stim) in humans. METHODS: This was an observational, prospective study, including patients admitted for stereo-electroencephalographic recording because of refractory epilepsy, in whom the insular cortex was implanted. Patients with anatomical or electrophysiological insular abnormalities and those in whom E-stim produced subjective symptoms were excluded. Variations in heart rate (HR), stroke volume (SV), and cardiac output (CO) were analyzed during insular E-stim and compared with control E-stim of non-eloquent brain regions and sham stimulations. RESULTS: Ten patients were included, 5 implanted in the right insula (52 E-stim) and 5 in the left (37 E-stim). Demographic and clinical characteristics of both groups were similar. E-stim of both right and left insulas induced a significant decrease of the CO and HR, and an increase of the SV. E-stim of control electrodes and sham stimulations were not associated with variations in cardiac function. Blood pressure and respiratory rate remained unaltered. INTERPRETATION: Our results suggest a direct chronotropic and inotropic cardiac depressor function of the right and left insulas. The evidence of an insular direct cardiac regulatory function might open a path in the prevention or treatment of heart failure, arrhythmias, and sudden unexpected death in epilepsy. ANN NEUROL 2021;89:1172-1180.

SYLVIUS: A multimodal and multidisciplinary platform for epilepsy surgery.

BACKGROUND AND OBJECTIVE: We present SYLVIUS, a software platform intended to facilitate and improve the complex workflow required to diagnose and surgically treat drug-resistant epilepsies. In complex epilepsies, additional invasive information from exploration with stereoencephalography (SEEG) with deep electrodes may be needed, for which the input from different diagnostic methods and clinicians from several specialties is required to ensure diagnostic efficacy and surgical safety. We aim to provide a software platform with optimal data flow among the different stages of epilepsy surgery to provide smooth and integrated decision making. METHODS: The SYLVIUS platform provides a clinical workflow designed to ensure seamless and safe patient data sharing across specialities. It integrates tools for stereo visualization, data registration, transfer of electrode plans referred to distinct datasets, automated postoperative contact segmentation, and novel DWI tractography analysis. Nineteen cases were retrospectively evaluated to track modifications from an initial plan to obtain a final surgical plan, using SYLVIUS. RESULTS: The software was used to modify trajectories in all 19 consulted cases, which were then imported into the robotic system for the surgical intervention. When available, SYLVIUS provided extra multimodal information, which resulted in a greater number of trajectory modifications. CONCLUSIONS: The architecture presented in this paper streamlines epilepsy surgery allowing clinicians to have a digital clinical tool that allows recording of the different stages of the procedure, in a common multimodal 2D/3D setting for participation of different clinicians in defining and validating surgical plans for SEEG cases.

Volitional learning promotes theta phase coding in the human hippocampus.

Electrophysiological studies in rodents show that active navigation enhances hippocampal theta oscillations (4-12 Hz), providing a temporal framework for stimulus-related neural codes. Here we show that active learning promotes a similar phase coding regime in humans, although in a lower frequency range (3-8 Hz). We analyzed intracranial electroencephalography (iEEG) from epilepsy patients who studied images under either volitional or passive learning conditions. Active learning increased memory performance and hippocampal theta oscillations and promoted a more accurate reactivation of stimulus-specific information during memory retrieval. Representational signals were clustered to opposite phases of the theta cycle during encoding and retrieval. Critically, during active but not passive learning, the temporal structure of intracycle reactivations in theta reflected the semantic similarity of stimuli, segregating conceptually similar items into more distant theta phases. Taken together, these results demonstrate a multilayered mechanism by which active learning improves memory via a phylogenetically old phase coding scheme.

Mapping the Insula with Stereo-Electroencephalography: The Emergence of Semiology in Insula Lobe Seizures.

OBJECTIVE: Insula epilepsy is rare and can be evaluated effectively by Stereotactic intracerebral EEG (SEEG). Many previous studies of insulo-opercular seizures have been unable to separate insular and opercular onset. With adequate sampling of the insula, this study shows this is possible. METHODS: We analyzed intrainsular dynamics and extrainsular propagation in 12 patients with "pure" insula epilepsy (n = 9) or insular and only deepest opercular involvement (n = 3) at seizure onset. Review of semiology defined clinical groups, agglomerative cluster, and principal component analysis of semiological features were performed. Quantitative epileptogenicity, and intrainsular and extrainsular propagation were computed via time frequency analysis and epileptogenicity mapping. RESULTS: Seizure onset patterns were heterogeneous; the seizure onset zone was focal. Seizure onset and first ictal change within insula functional subdivision correlated with aura and reflex component. No paninsular spread occurred; contralateral insular spread was very early. While the discharge was intrainsular, clinical signs related to aura or vegetative signs. Extrainsular propagation was early and related to the emergence of the majority of clinical signs. Cluster analysis found an anterior, intermediate, and posterior insula seizure onset group. The largest principal component separated anterior insula manifestations, including early hypermotor signs, early recovery, and no aura from posterior insula features of early dystonia, early tonic motor features, and sensorimotor aura. INTERPRETATION: Aura is vital to identifying seizure onset and relates to insula functional subdivision. Seizures are heterogenous; extrainsular propagation occurs early, accounting for most of the semiology. With adequate sampling, "pure" insula epilepsy can be identified and focal curative resection is possible. ANN NEUROL 2020;88:477-488.

Perampanel effect on sleep architecture in patients with epilepsy.

PURPOSE: Among patients with epilepsy, sleep disturbances can worsen seizure control. This prospective open-label study determined the effect of the antiepileptic drug perampanel on sleep architecture in patients with refractory epilepsy. METHODS: Adult patients with refractory epilepsy received add-on perampanel, starting at 2 mg/day at bedtime, increased by 2 mg after 2 weeks and then monthly until the target dose of 4-8 mg/day was reached. The median dose of perampanel used was 6 mg (SD 1.2). Polysomnographic (PSG) recordings were scheduled 1 week before starting perampanel and the control PSG after 12 weeks under perampanel treatment and at least 4 weeks on stable perampanel dose; patients completed the Epworth Sleepiness Scale (ESS) and Pittsburgh Sleep Quality Index (PSQI) questionnaires. The main endpoints were change from baseline in the ESS and PSQI scores, and PSG variables. RESULTS: Of 25 patients included (aged 18-65 years, 56 % female) only 17 completed the study. Perampanel caused a modest decrease from baseline in mean ESS score (n = 13 patients; p = 0.126) and PSQI score (n = 12 patients; p = 0.127). Treatment significantly improved sleep parameters (n = 17 patients) including total sleep time (p = 0.037), sleep latency (p = 0.022), sleep efficiency (p = 0.015), sleep maintenance index (p = 0.005), wake time after sleep onset (p = 0.015), and duration of N3 sleep stage (p = 0.026). Patients with altered sleep efficiency parameters at baseline showed a significant increase in sleep maintenance index (p = 0.015), and 77.8 % achieved sleep efficiency >85 % (p = 0.016 vs baseline). CONCLUSION: Perampanel improved sleep architecture in patients with focal refractory epilepsy without worsening daytime sleepiness.

Low entropy map of brain oscillatory activity identifies spatially localized events: A new method for automated epilepsy focus prediction.

The spatial mapping of localized events in brain activity critically depends on the correct identification of the pattern signatures associated with those events. For instance, in the context of epilepsy research, a number of different electrophysiological patterns have been associated with epileptogenic activity. Motivated by the need to define automated seizure focus detectors, we propose a novel data-driven algorithm for the spatial identification of localized events that is based on the following rationale: the distribution of emerging oscillations during confined events across all recording sites is highly non-uniform and can be mapped using a spatial entropy function. By applying this principle to EEG recording obtained from 67 distinct seizure epochs, our method successfully identified the seizure focus on a group of ten drug-resistant temporal lobe epilepsy patients (average sensitivity: 0.94, average specificity: 0.90) together with its characteristic electrophysiological pattern signature. Cross-validation of the method outputs with postresective information revealed the consistency of our findings in long follow-up seizure-free patients. Overall, our methodology provides a reliable computational procedure that might be used as in both experimental and clinical domains to identify the neural populations undergoing an emerging functional or pathological transition.

Human hippocampal theta oscillations reflect sequential dependencies during spatial planning.

Movement-related theta oscillations in rodent hippocampus coordinate 'forward sweeps' of location-specific neural activity that could be used to evaluate spatial trajectories online. This raises the possibility that increases in human hippocampal theta power accompany the evaluation of upcoming spatial choices. To test this hypothesis, we measured neural oscillations during a spatial planning task that closely resembles a perceptual decision-making paradigm. In this task, participants searched visually for the shortest path between a start and goal location in novel mazes that contained multiple choice points, and were subsequently asked to make a spatial decision at one of those choice points. We observed ~4-8 Hz hippocampal/medial temporal lobe theta power increases specific to sequential planning that were negatively correlated with subsequent decision speed, where decision speed was inversely correlated with choice accuracy. These results implicate the hippocampal theta rhythm in decision tree search during planning in novel environments.

SUDEP in Spain: An Epilepsy Monitoring Unit based case series.

PURPOSE: SUDEP is the first cause of mortality related to epilepsy. However, in Spain there are no published cases or series from Epilepsy Monitoring Units that could expose the characteristics of SUDEP in our population. METHOD: We reviewed all patients treated at our Spanish Epilepsy Reference Centre who died between 2010-2018. SUDEP cases were classified as definite, probable, possible or near-SUDEP. Epilepsy type, demographics and case detection issues were described. RESULTS: From 1250 evaluated patients, 102 died during the study period. Seven patients were diagnosed with SUDEP or near-SUDEP: two definite SUDEP, one definite SUDEP plus, two probable SUDEP and two near-SUDEP. Specific problems for detection and registration of SUDEP inherent to the Spanish healthcare system and the legal framework were defined. Only 43% of cases were known by the referral neurologist. SUDEP incidence was 1.3 per 1000 patient/year, comprising 0.56% of all deaths in our cohort. Two cases were female, the average age was 36 years (18-61). All patients had focal epilepsy and suffered from generalized tonic-clonic seizures. All witnessed cases occurred after a focal to bilateral tonic-clonic seizure. Four cases occurred during sleep and all non-witnessed cases were found in prone position. One case occurred during video-EEG monitoring. CONCLUSIONS: Our casuistic represents the first Epilepsy Monitoring Unit based case series of SUDEP conducted in Spain. The incidence in our population agrees with the reported in other countries. However, in our population, SUDEP is probably underdiagnosed due to administrative and legal issues.

Prediction error connectivity: A new method for EEG state analysis.

Several models have been proposed to explain brain regional and interregional communication, the majority of them using methods that tap the frequency domain, like spectral coherence. Considering brain interareal communication as binary interactions, we describe a novel method devised to predict dynamics and thus highlight abrupt changes marked by unpredictability. Based on a variable-order Markov model algorithm developed in-house for data compression, the prediction error connectivity (PEC) estimates network transitions by calculating error matrices (EMs). We analysed 20 h of EEG signals of virtual networks generated with a neural mass model. Subnetworks changed through time (2 of 5 signals), from normal to normal or pathological states. PEC was superior to spectral coherence in detecting all considered transitions, especially in broad and ripple bands. Subsequently, EMs of real data were classified using a support vector machine in order to capture the transition from interictal to preictal state and calculate seizure risk. A single seizure was randomly selected for training. Through this approach it was possible to establish a threshold that the calculated risk consistently overcame minutes before the events. Using either spectral coherence or PEC we created 1000 models that successfully predicted 6 seizures (100% sensibility), a whole cluster recorded in a patient with hippocampal epilepsy. However, PEC resulted superior to coherence in terms of true seizure free time and amount of false warnings. Indeed, the best PEC model predicted 96% of interictal time (vs. 83% of coherence) of about 20 h of stereo-EEG. This analysis was extended to patients with neo/mesocortical temporal, neocortical frontal, parietal and occipital lobe epilepsy. Again PEC showed high performance, allowing the prediction of 31 events distributed across 10 days with ROC AUCs that reached 98% (average 93 ±â€¯5%) in 6 different patients. Moreover, considering another state transition, PEC could classify and forecast up to 88% (average 85 ±â€¯3%) of the REM phase both in deep and scalp EEG. In conclusion, PEC is a novel approach that relies on pattern analysis in the time-domain. We believe that this method can be successfully employed both for the study of brain connectivity, and also implemented in real-life solutions for seizure detection and prediction.

Ictal spitting in non-dominant temporal lobe epilepsy: an anatomo-electrophysiological correlation.

We report a patient presenting drug-resistant, non-dominant temporal lobe epilepsy with ictal spitting and prosopometamorphopsia, both extremely rare semiologies. Second-phase pre-surgical monitoring was performed using SEEG due to lesion-negative imaging and the rare semiology. The seizure onset zone was delimited to the right anterior hippocampus and the temporobasal cortex, with the propagation zone within the entorhinal cortex. Interestingly, direct electrical stimulation to the entorhinal cortex, which was reproduced in a number of trials, evoked spitting without leading to seizures or post-discharges. After the resection of the epileptogenic zone, the patient remained seizure-free without AEDs for a follow-up period of five years (Engel Class 1a). The neuropathology revealed a focal cortical dysplasia type FCD-Ia. Spectral analysis of intracranial ictal EEG (iEEG) data suggested a possible role of the basal temporal and entorhinal cortex as a necessary node in ictal spitting. [Published with video sequences on www.epilepticdisorders.com].

Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain.

Epileptic seizures are known to follow specific changes in brain dynamics. While some algorithms can nowadays robustly detect these changes, a clear understanding of the mechanism by which these alterations occur and generate seizures is still lacking. Here, we provide crossvalidated evidence that such changes are initiated by an alteration of physiological network state dynamics. Specifically, our analysis of long intracranial electroencephalography (iEEG) recordings from a group of 10 patients identifies a critical phase of a few hours in which time-dependent network states become less variable ("degenerate"), and this phase is followed by a global functional connectivity reduction before seizure onset. This critical phase is characterized by an abnormal occurrence of highly correlated network instances and is shown to be particularly associated with the activity of the resected regions in patients with validated postsurgical outcome. Our approach characterizes preseizure network dynamics as a cascade of 2 sequential events providing new insights into seizure prediction and control.