Presurgical Evaluation Of Epilepsy Research Articles

Helium Optically Pumped Magnetometers Can Detect Epileptic Abnormalities as Well as SQUIDs as Shown by Intracerebral Recordings.

Magnetoencephalography based on superconducting quantum interference devices (SQUIDs) has been shown to improve the diagnosis and surgical treatment decision for presurgical evaluation of drug-resistant epilepsy. Still, its use remains limited because of several constraints such as cost, fixed helmet size, and the obligation of immobility. A new generation of sensors, optically pumped magnetometers (OPMs), could overcome these limitations. In this study, we validate the ability of helium-based OPM (4He-OPM) sensors to record epileptic brain activity thanks to simultaneous recordings with intracerebral EEG [stereotactic EEG (SEEG)]. We recorded simultaneous SQUIDs-SEEG and 4He-OPM-SEEG signals in one patient during two sessions. We show that epileptic activities on intracerebral EEG can be recorded by OPMs with a better signal-to noise ratio than classical SQUIDs. The OPM sensors open new venues for the widespread application of magnetoencephalography in the management of epilepsy and other neurologic diseases and fundamental neuroscience.

33 Pre-Surgical Evaluation of Bilingual Epilepsy Patients; A Case Study Demonstrating the Importance of Bilingual Assessment

Objective:In the US, >20% of individuals aged 5 years and older speak a language other than English at home, with rates of bi- and multilingualism increasing. Providing linguistically- and culturally- competent care to increasingly diverse populations is a necessary task for neuropsychologists. The need for close attention to bilingualism is even more glaring in the context of neurosurgical interventions, such as in intractable epilepsy. Pre-surgical epilepsy evaluations serve as a baseline for post-surgical change, inform lateralization and localization, and help determine cognitive risks associated with surgery. The importance of evaluating bilingual status and assessing cognitive abilities in both languages, if needed, in presurgical epilepsy evaluations is examined. We present the neuropsychological profile of a 10-year-old bilingual male with intractable epilepsy participating in a pre-surgical epilepsy evaluation.Participants and Methods:This right-handed male is a sequential language learner, exposed to Spanish at birth and English when he began kindergarten. His parent reported he was primarily English speaking. Developmental milestones were met within expected timeframes. Seizures began at age 5. He is prescribed Vimpat and Lamictal. vEEG during admission revealed right temporal-onset seizures. Neuropsychological assessment was conducted in English based on parent report; however, expressive language testing revealed significantly higher performance in Spanish (average) compared to English (exceptionally low). Subsequently, a bilingual provider was consulted, and supplemental Spanish verbal reasoning and verbal memory measures were administered.Results:The patient’s neuropsychological profile captured a significant difference between English and Spanish verbal abilities. WISC-V Similarities scaled scores (ss) were 5 and 11 in English and Spanish, respectively. Vocabulary scaled scores were 8 and 15 in English and Spanish, respectively. Regarding verbal memory, list learning was below average in English (ss = 5), but low average in Spanish (ss = 6). Contextual verbal memory was only administered in Spanish; scores were average (ss = 10). Verbal Fluency administered in English was low (phonemic fluency ss = 5, categorical fluency ss = 6). fMRI verbal tasks were performed in English and revealed left-sided language lateralization.Conclusions:In pre-surgical epilepsy evaluations of bilingual children, consideration of language is essential. Assessment of language dominance is a minimum requirement in bilingual families, followed by full bilingual evaluation if necessary. In this case, starkly different conclusions regarding lateralization and localization may have been made if the child had not been evaluated in both languages. In English, a significant split between verbal and non-verbal cognition was apparent, possibly suggesting involvement of the dominant left hemisphere. With Spanish testing, this split disappeared, with high average verbal skills. While a growing proportion of children in the US are bilingual, bilingual assessments are not commonly conducted in pre-surgical epilepsy evaluations. In fact, very little work has been done examining language functioning in bilingual epilepsy patients, particularly in children. With both epilepsy-and language-related factors at play in a developing brain, we encourage closer attention to these issues, particularly in the context of neurosurgical procedures.

H - 47 Bilingual Auditory Naming Test Performance in an Epilepsy Sample.

The growing multilingual population in the United States calls for culturally adapted norms for neuropsychological tools. Language testing, for example, is paramount in pre-surgical assessment in patients with dominant temporal lobe epilepsy. The Boston Naming Test (BNT) and the Auditory Naming Test (ANT) are frequently used in pre-surgical epilepsy evaluations; yet, while bilingual norms exist for the BNT, these are lacking for the ANT. To parse out how much of a bilingual patient's language performance is accounted for by bilingualism versus language deficits, we studied whether there is a significant difference in ANT performance between bilingual and monolingual English-speaking epilepsy patients. Our sample of patients with localized epilepsy from the UCSF Epilepsy Center included 22 bilingual (English-dominant; non-dominant languages included Spanish, Arabic, Dutch, Taiwanese, and Japanese) and 61 monolingual English-speakers (39% female, M age = 36.3). All patients took anti-seizure medication and completed the ANT and BNT as part of a pre-surgical neuropsychological assessment. Compared to monolingual English-speaking patients, bilingual patients had significantly lower scores on the ANT (Bilingual M = -4.03 [SD = 5.6], Monolingual M = -0.7 [SD = 1.9]; t(81) = 3.89, p < 0.001) and BNT (t(77) = 2.76, p = 0.007). This performance difference was significantly greater for the ANT than BNT (F(1,77) = 7.71, p = 0.007). These results highlight the importance of considering multilingualism in neuropsychological assessments. This is especially needed for pre-surgical language mapping in epilepsy surgical candidates. Future research should establish bilingual normative standards for neuropsychological language-based tests such as the ANT.

Ictal EEG Source Imaging With Supplemental Electrodes.

Noninvasive brain imaging tests play a major role in guiding decision-making and the usage of invasive, costly intracranial electroencephalogram (ICEEG) in the presurgical epilepsy evaluation. This study prospectively examined the concordance in localization between ictal EEG source imaging (ESI) and ICEEG as a reference standard. Between August 2014 and April 2019, patients during video monitoring with scalp EEG were screened for those with intractable focal epilepsy believed to be amenable to surgical treatment. Additional 10-10 electrodes (total = 31-38 per patient, "31+") were placed over suspected regions of seizure onset in 104 patients. Of 42 patients requiring ICEEG, 30 (mean age 30, range 19-59) had sufficiently localized subsequent intracranial studies to allow comparison of localization between tests. ESI was performed using realistic forward boundary element models used in dipole and distributed source analyses. At least partial sublobar concordance between ESI and ICEEG solutions was obtained in 97% of cases, with 73% achieving complete agreement. Median Euclidean distances between ESI and ICEEG solutions ranged from 25 to 30 mm (dipole) and 23 to 38 mm (distributed source). The latter was significantly more accurate with 31+ compared with 21 electrodes (P < 0.01). A difference of ≤25 mm was present in two thirds of the cases. No significant difference was found between dipole and distributed source analyses. A practical method of ictal ESI (nonuniform placement of 31-38 electrodes) yields high accuracy for seizure localization in epilepsy surgery candidates. These results support routine clinical application of ESI in the presurgical evaluation.

Role of optically pumped magnetometers in presurgical epilepsy evaluation: Commentary of the American Clinical Magnetoencephalography Society.

One of the major challenges of modern epileptology is the underutilization of epilepsy surgery for treatment of patients with focal, medication resistant epilepsy (MRE). Aggravating this distressing failure to deliver optimum care to these patients is the underuse of proven localizing tools, such as magnetoencephalography (MEG), a clinically validated, non-invasive, neurophysiological method used to directly measure and localize brain activity. A sizable mass of published evidence indicates that MEG can improve identification of surgical candidates and guide pre-surgical planning, increasing the yield of SEEG and improving operative outcomes. However, despite at least 10 common, evidence supported, clinical scenarios in MRE patients where MEG can offer non-redundant information and improve the pre-surgical evaluation, it is regularly used by only a minority of USA epilepsy centers. The current state of the art in MEG sensors employs SQUIDs, which require cooling with liquid helium to achieve superconductivity. This sensor technology has undergone significant generational improvement since whole head MEG scanners were introduced around in 1990s, but still has limitations. Further advances in sensor technology which may make ME G more easily accessible and affordable have been eagerly awaited, and development of new techniques should be encouraged. Of late, optically pumped magnetometers (OPMs) have received considerable attention, even prompting some potential acquisitions of new MEG systems to be put on hold, based on a hope that OPMs will usher in a new generation of MEG equipment and procedures. The development of any new clinical test used to guide intracranial EEG monitoring and/or surgical planning must address several specific issues. The goal of this commentary is to recognize the current state of OPM technology and to suggest a framework for it to advance in the clinical realm where it can eventually be deemed clinically valuable to physicians and patients. The American Clinical MEG Society (ACMEGS) strongly supports more advanced and less expensive technology and looks forward to continuing work with researchers to develop new sensors and clinical devices which will improve the experience and outcome for patients, and perhaps extend the role of MEG. However, currently, there are no OPM devices ready for practical clinical use. Based on the engineering obstacles and the clinical tradeoffs to be resolved, the assessment of experts suggests that there will most likely be another decade relying solely on "frozen SQUIDs" in the clinical MEG field.

Estimation of fMRI responses related to epileptic discharges using Bayesian hierarchical modeling.

Simultaneous electroencephalography-functional MRI (EEG-fMRI) is a unique and noninvasive method for epilepsy presurgical evaluation. When selecting voxels by null-hypothesis tests, the conventional analysis may overestimate fMRI response amplitudes related to interictal epileptic discharges (IEDs), especially when IEDs are rare. We aimed to estimate fMRI response amplitudes represented by blood oxygen level dependent (BOLD) percentage changes related to IEDs using a hierarchical model. It involves the local and distributed hemodynamic response homogeneity to regularize estimations. Bayesian inference was applied to fit the model. Eighty-two epilepsy patients who underwent EEG-fMRI and subsequent surgery were included in this study. A conventional voxel-wise general linear model was compared to the hierarchical model on estimated fMRI response amplitudes and on the concordance between the highest response cluster and the surgical cavity. The voxel-wise model overestimated fMRI responses compared to the hierarchical model, evidenced by a practically and statistically significant difference between the estimated BOLD percentage changes. Only the hierarchical model differentiated brief and long-lasting IEDs with significantly different BOLD percentage changes. Overall, the hierarchical model outperformed the voxel-wise model on presurgical evaluation, measured by higher prediction performance. When compared with a previous study, the hierarchical model showed higher performance metric values, but the same or lower sensitivity. Our results demonstrated the capability of the hierarchical model of providing more physiologically reasonable and more accurate estimations of fMRI response amplitudes induced by IEDs. To enhance the sensitivity of EEG-fMRI for presurgical evaluation, it may be necessary to incorporate more appropriate spatial priors and bespoke decision strategies.

18F]DPA-714 PET Imaging in the Presurgical Evaluation of Patients With Drug-Resistant Focal Epilepsy.

Translocator protein 18 kDa (TSPO) PET imaging is used to monitor glial activation. Recent studies have proposed TSPO PET as a marker of the epileptogenic zone (EZ) in drug-resistant focal epilepsy (DRFE). This study aims to assess the contributions of TSPO imaging using [18F]DPA-714 PET and [18F]FDG PET for localizing the EZ during presurgical assessment of DRFE, when phase 1 presurgical assessment does not provide enough information. We compared [18F]FDG and [18F]DPA-714 PET images of 23 patients who had undergone a phase 1 presurgical assessment, using qualitative visual analysis and quantitative analysis, at both the voxel and the regional levels. PET abnormalities (increase in binding for [18F]DPA-714 vs decrease in binding for [18F]FDG) were compared with clinical hypotheses concerning the localization of the EZ based on phase 1 presurgical assessment. The additional value of [18F]DPA-714 PET imaging to [18F]FDG for refining the localization of the EZ was assessed. To strengthen the visual analysis, [18F]DPA-714 PET imaging was also reviewed by 2 experienced clinicians blind to the EZ location. The study included 23 patients. Visual analysis of [18F]DPA-714 PET was significantly more accurate than [18F]FDG PET to both, show anomalies (95.7% vs 56.5%, p = 0.022), and provide additional information to refine the EZ localization (65.2% vs 17.4%, p = 0.019). All 10 patients with normal [18F]FDG PET had anomalies when using [18F]DPA-714 PET. The additional value of [18F]DPA-714 PET seemed to be greater in patients with normal brain MRI or with neocortical EZ (especially if insula is involved). Regional analysis of [18F]DPA-714 and [18F]FDG PET provided similar results. However, using voxel-wise analysis, [18F]DPA-714 was more effective than [18F]FDG for unveiling clusters whose localization was more often consistent with the EZ hypothesis (87.0% vs 39.1%, p = 0.019). Nonrelevant bindings were seen in 14 of 23 patients in visual analysis and 9 patients of 23 patients in voxel-wise analysis. [18F]DPA-714 PET imaging provides valuable information for presurgical assessments of patients with DRFE. TSPO PET could become an additional tool to help to the localization of the EZ, especially in patients with negative [18F]FDG PET. Eudract 2017-003381-27. Inclusion of the first patient: September 24, 2018. This study provides Class IV evidence on the utility of [18F]DPA-714 PET compared with [18F]FDG PET in identifying the epileptic zone in patients undergoing phase 1 presurgical evaluation for intractable epilepsy.

Identifying and troubleshooting the pitfalls of ictal/interictal brain perfusion SPECT studies.

Epilepsy is a prevalent condition, and surgical intervention can benefit patients with refractory seizures. Single photon emission computed tomography (SPECT) using 99mTc-HMPAO or 99mTc-ECD provides assessment of regional cerebral blood flow and is the primary non-invasive approach for imaging brain perfusion in ictal and interictal states. Ictal/interictal SPECT is valuable in localising epileptogenic foci, particularly when MRI and electroencephalography are negative. However, to obtain accurate images reflecting brain perfusion in both states, meticulous preparation of the patient, timely radiotracer injection and close coordination between neurology and nuclear medicine teams are essential. Tracers also have inherent limitations, and patients may present with coexisting brain pathologies for which coregistration of SPECT images with MRI is recommended to improve diagnostic accuracy. Inconclusive SPECT findings may require repeating the exam or considering additional investigations. A comprehensive approach, considering various factors, is crucial for accurate interpretation of SPECT studies in presurgical epilepsy evaluations. This article provides a summary of the organisation and key challenges involved in conducting ictal/interictal SPECT studies, covering the entire process from a patient's hospital arrival to the integration of results within their presurgical pathway and using our experience of 182 patients over 10 years.

Targeted density electrode placement achieves high concordance with traditional high-density EEG for electrical source imaging in epilepsy

ObjectiveHigh-density (HD) electroencephalography (EEG) is increasingly used in presurgical epilepsy evaluation, but it is demanding in time and resources. To overcome these issues, we compared EEG source imaging (ESI) solutions with a targeted density and HD-EEG montage. MethodsHD-EEGs from patients undergoing presurgical evaluation were analyzed. A low-density recording was created by selecting the 25 electrodes of a standard montage from the 83 electrodes of the HD-EEG and adding 8–11 electrodes around the electrode with the highest amplitude interictal epileptiform discharges. The ESI solution from this “targeted” montage was compared to that from the HD-EEG using the distance between peak vertices, sublobar concordance and a qualitative similarity measure. ResultsFifty-eight foci of forty-three patients were included. The median distance between the peak vertices of the two montages was 13.2 mm, irrespective of focus’ location. Tangential generators (n = 5/58) showed a higher distance than radial generators (p = 0.04). We found sublobar concordance in 54/58 of the foci (93%). Map similarity, assessed by an epileptologist, had a median score of 4/5. ConclusionsESI solutions obtained from a targeted density montage show high concordance with those calculated from HD-EEG. SignificanceRequiring significantly fewer electrodes, targeted density EEG allows obtaining similar ESI solutions as traditional HD-EEG montage.

Lesion detection in epilepsy surgery: Lessons from a prospective evaluation of a machine learning algorithm.

To evaluate a lesion detection algorithm designed to detect focal cortical dysplasia (FCD) in children undergoing stereoelectroencephalography (SEEG) as part of their presurgical evaluation for drug-resistant epilepsy. This was a prospective, single-arm, interventional study (Idea, Development, Exploration, Assessment, and Long-Term Follow-Up phase 1/2a). After routine SEEG planning, structural magnetic resonance imaging sequences were run through an FCD lesion detection algorithm to identify putative clusters. If the top three clusters were not already sampled, up to three additional SEEG electrodes were added. The primary outcome measure was the proportion of patients who had additional electrode contacts in the SEEG-defined seizure-onset zone (SOZ). Twenty patients (median age 12 years, range 4-18 years) were enrolled, one of whom did not undergo SEEG. Additional electrode contacts were part of the SOZ in 1 out of 19 patients while 3 out of 19 patients had clusters that were part of the SOZ but they were already implanted. A total of 16 additional electrodes were implanted in nine patients and there were no adverse events from the additional electrodes. We demonstrate early-stage prospective clinical validation of a machine learning lesion detection algorithm used to aid the identification of the SOZ in children undergoing SEEG. We share key lessons learnt from this evaluation and emphasize the importance of robust prospective evaluation before routine clinical adoption of such algorithms. The focal cortical dysplasia detection algorithm collocated with the seizure-onset zone (SOZ) in 4 out of 19 patients. The algorithm changed the resection boundaries in 1 of 19 patients undergoing stereoelectroencephalography for drug-resistant epilepsy. The patient with an altered resection due to the algorithm was seizure-free 1 year after resective surgery. Overall, the algorithm did not increase the proportion of patients in whom SOZ was identified.

An artificial intelligence-based pipeline for automated detection and localisation of epileptic sources from magnetoencephalography.

Objective.Magnetoencephalography (MEG) is a powerful non-invasive diagnostic modality for presurgical epilepsy evaluation. However, the clinical utility of MEG mapping for localising epileptic foci is limited by its low efficiency, high labour requirements, and considerable interoperator variability. To address these obstacles, we proposed a novel artificial intelligence-based automated magnetic source imaging (AMSI) pipeline for automated detection and localisation of epileptic sources from MEG data.Approach.To expedite the analysis of clinical MEG data from patients with epilepsy and reduce human bias, we developed an autolabelling method, a deep-learning model based on convolutional neural networks and a hierarchical clustering method based on a perceptual hash algorithm, to enable the coregistration of MEG and magnetic resonance imaging, the detection and clustering of epileptic activity, and the localisation of epileptic sources in a highly automated manner. We tested the capability of the AMSI pipeline by assessing MEG data from 48 epilepsy patients.Main results.The AMSI pipeline was able to rapidly detect interictal epileptiform discharges with 93.31% ± 3.87% precision based on a 35-patient dataset (with sevenfold patientwise cross-validation) and robustly rendered accurate localisation of epileptic activity with a lobar concordance of 87.18% against interictal and ictal stereo-electroencephalography findings in a 13-patient dataset. We also showed that the AMSI pipeline accomplishes the necessary processes and delivers objective results within a much shorter time frame (∼12 min) than traditional manual processes (∼4 h).Significance.The AMSI pipeline promises to facilitate increased utilisation of MEG data in the clinical analysis of patients with epilepsy.

Delayed 18F-FDG PET imaging provides better metabolic asymmetry in potential epileptogenic zone in temporal lobe epilepsy.

To investigate the value of 18F-FDG positron emission tomography/computed tomography (PET/CT) two time point imaging for the identification of the potential epileptogenic zone (EZ) in temporal lobe epilepsy (TLE). Fifty-two patients with TLE were prospectively enrolled in the 18F-FDG PET/CT two time point imaging study. The early imaging was obtained approximately 40 min (43.44 ± 18.04 min) after 18F-FDG injection, and the delayed imaging was obtained about 2 to 3 h (160.46 ± 28.70 min) after the injection. Visual and semi-quantitative analysis of 18F-FDG uptake were performed at the two time points in EZ and contralateral symmetrical region. The mean standardized uptake value (SUVmean) of EZ and contralateral symmetrical region was calculated to determine the asymmetry index (AI) of the early and delayed images, as well as in the MRI positive and negative patient groups. Semi-quantitative analysis demonstrated that AI of the early and delayed 18F-FDG PET/CT images was 13.47 ± 6.10 and 16.43 ± 6.66, respectively. The ΔAI was 2.95 ± 3.05 in 52 TLE patients between the two time points. The AI of the EZ was significantly elevated in delayed images compared to the early images (p < 0.001). The AI of delayed imaging was also significantly elevated compared to the early imaging in both MRI positive (ΔAI = 2.81 ± 2.54, p < 0.001) and MRI negative (ΔAI = 3.21 ± 3.91, p < 0.003) groups, and more pronounced in MRI negative group. Visual analysis also showed that the delayed imaging appeared to be superior to the early imaging for identification of potential EZ. Delayed 18F-FDG PET imaging provided significantly better than the early imaging in the identification of potential EZ, which can be valuable during epilepsy pre-surgical evaluation in patients with TLE.

Regional variability in intracerebral properties of NREM to REM sleep transitions in humans

Transitions between wake and sleep states show a progressive pattern underpinned by local sleep regulation. In contrast, little evidence is available on non-rapid eye movement (NREM) to rapid eye movement (REM) sleep boundaries, considered as mainly reflecting subcortical regulation. Using polysomnography (PSG) combined with stereoelectroencephalography (SEEG) in humans undergoing epilepsy presurgical evaluation, we explored the dynamics of NREM-to-REM transitions. PSG was used to visually score transitions and identify REM sleep features. SEEG-based local transitions were determined automatically with a machine learning algorithm using features validated for automatic intra-cranial sleep scoring (10.5281/zenodo.7410501). We analyzed 2988 channel-transitions from 29 patients. The average transition time from all intracerebral channels to the first visually marked REM sleep epoch was 8 s ± 1 min 58 s, with a great heterogeneity between brain areas. Transitions were observed first in the lateral occipital cortex, preceding scalp transition by 1 min 57 s ± 2 min 14 s (d = -0.83), and close to the first sawtooth wave marker. Regions with late transitions were the inferior frontal and orbital gyri (1 min 1 s ± 2 min 1 s, d = 0.43, and 1 min 1 s ± 2 min 5 s, d = 0.43, after scalp transition). Intracranial transitions were earlier than scalp transitions as the night advanced (last sleep cycle, d = -0.81). We show a reproducible gradual pattern of REM sleep initiation, suggesting the involvement of cortical mechanisms of regulation. This provides clues for understanding oneiric experiences occurring at the NREM/REM boundary.

0044 Thalamocortical functional connectivity increases during REM sleep sawtooth waves

Abstract Introduction Whereas sawtooth waves have been described as phasic bursts of slow oscillations in the scalp EEG during rapid-eye-movement (REM) sleep sixty years ago, little is known about their generators and functional role. Stereo-electroencephalography recordings (SEEG) performed for presurgical evaluation in drug-resistant focal epilepsy have allowed to demonstrate a peculiar slow activity in the thalamic medial pulvinar nucleus during REM sleep, contrasting with the fast desynchronized cortical activity. However, the link between this slow thalamic activity and sawtooth waves remains unexplored. Here, we used combined polysomnography and SEEG to investigate the dynamics of thalamic activity and thalamocortical functional connectivity at the time of scalp EEG sawtooth waves. Methods Night sleep recordings from six patients investigated with SEEG including thalamic recording in the Epilepsy Department of Lyon University Hospital were analyzed. Sawtooth waves were visually detected in the scalp EEG and compared with control segments selected in REM sleep. Thalamic SEEG and cortical EEG spectral power as well as thalamo-cortical functional connectivity assessed by the phase locking value were compared between sawtooth waves and control segments using paired t-tests. The effect size was assessed with Cohen’s d. Results A significant increase in the delta-theta (2-5 Hz, p&amp;lt; 0.003, d=0.31) and gamma (30-100 Hz, p&amp;lt; 0.003, d=0.31) power bands was found in posterior nuclei of the thalamus at the time of scalp-detected sawtooth waves. Functional thalamocortical connectivity in the 2-5 Hz band was enhanced during sawtooth waves as compared to control segments, with the thalamus driving the cortex (p&amp;lt; 0.001; d=0.84, average +/- SD time lag: 23 +/- 22 ms). Conclusion Our results provide evidence that sawtooth waves involve not only cortical areas but also the thalamus, suggesting a relation with ponto-geniculo-occipital waves. They may hence represent phasic brainstem-triggered short windows of an increased thalamocortical dialogue during REM sleep. Support (if any) B.F was supported by the Natural Sciences and Engineering Research Council of Canada RGPIN2020-04127 and RGPAS-2020-00021, and by the Fonds de Recherche du Québec–Santé 2021-2025 Salary Award “Chercheur-boursier clinicien Senior”. T.A. was supported by the “Healthy Brains, Healthy Lives initiative at McGill University” from the Canada First Research Excellence Fund and Fonds de recherche du Québec 2021-2022.

"Plok-plok" syndrome: Posttraumatic stress disorder following an SEEGthermocoagulation and direct electrical stimulation procedure.

The psychological impact of intracerebral electroencephalography (stereoelectroencephalography [SEEG]) including the thermocoagulation procedure has not yet been clearly studied. We present a case of a patient who, following an SEEG procedure for presurgical evaluation of intractable focal epilepsy, developed severe symptoms of posttraumatic stress disorder. Such an occurrence may be under-estimated. Perceived traumatic exposure during SEEG and the development of posttraumatic psychological symptoms should be further studied in order to define risk factors and to improve the monitoring and psychological management of patients during their hospitalization. A careful and systematic procedure of prevention and support before, during, and after SEEG could decrease the risk of development or worsening of symptoms of anxiety, depression, and posttraumatic stress disorder.

Integration of interictal EEG source localization in presurgical epilepsy evaluation - a single-center prospective study.

To investigate costs in working hours for initial integration of interictal EEG source localization (ESL) into clinical practice of a tertiary epilepsy center, and to examine concordance of results obtained with three different ESL pipelines. This prospective study covered the first year of using ESL in the Epilepsy-Center Berlin-Brandenburg. Patients aged ≥14 years with drug-resistant focal epilepsy referred for noninvasive presurgical evaluation were included. Interictal ESL was based on low-density EEG and individual head models. Source maxima were obtained from two freely available software packages and one commercial provider. One physician and computer scientist documented their working hours for setting up and processing ESL. Additionally, a survey was conducted among epilepsy centers in Germany to assess the current role of ESL in presurgical evaluation. Of 40 patients included, 22 (55%) had enough interictal spikes for ESL. The physician's working times decreased from median 4.7 hours [interquartile range 3.9-6.4] in the first third of cases to 2.0 hours [1.9-2.4] in the remaining two thirds; p<0.01. In addition, computer scientist and physician spent a total of 35.5 and 33.0 working hours on setting up the digital infrastructure, and on training and testing. Sublobar agreement between all three pipelines was 20%, mean measurement of agreement (kappa) 0.13. Finally, the survey revealed that 53% of epilepsy centers in Germany currently use ESL for presurgical evaluation. This study provides information regarding expected effort and costs for integration of ESL into an epilepsy surgery program. Low result agreement across different ESL pipelines calls for further standardization.

Clinical added value of interictal automated electrical source imaging in the presurgical evaluation of MRI-negative epilepsy: A real-life experience in 29 consecutive patients

ObjectiveDuring the presurgical evaluation, manual electrical source imaging (ESI) provides clinically useful information in one-third of the patients but it is time-consuming and requires specific expertise. This prospective study aims to assess the clinical added value of a fully automated ESI analysis in a cohort of patients with MRI-negative epilepsy and describe its diagnostic performance, by evaluating sublobar concordance with stereo-electroencephalography (SEEG) results and surgical resection and outcome. MethodsAll consecutive patients referred to the Center for Refractory Epilepsy (CRE) of St-Luc University Hospital (Brussels, Belgium) for presurgical evaluation between 15/01/2019 and 31/12/2020 meeting the inclusion criteria, were recruited to the study. Interictal ESI was realized on low-density long-term EEG monitoring (LD-ESI) and, whenever available, high-density EEG (HD-ESI), using a fully automated analysis (Epilog PreOp, Epilog NV, Ghent, Belgium). The multidisciplinary team (MDT) was asked to formulate hypotheses about the epileptogenic zone (EZ) location at sublobar level and make a decision on further management for each patient at two distinct moments: i) blinded to ESI and ii) after the presentation and clinical interpretation of ESI. Results leading to a change in clinical management were considered contributive. Patients were followed up to assess whether these changes lead to concordant results on stereo-EEG (SEEG) or successful epilepsy surgery. ResultsData from all included 29 patients were analyzed. ESI led to a change in the management plan in 12/29 patients (41%). In 9/12 (75%), modifications were related to a change in the plan of the invasive recording. In 8/9 patients, invasive recording was performed. In 6/8 (75%), the intracranial EEG recording confirmed the localization of the ESI at a sublobar level. So far, 5/12 patients, for whom the management plan was changed after ESI, were operated on and have at least one-year postoperative follow-up. In all cases, the EZ identified by ESI was included in the resection zone. Among these patients, 4/5 (80%) are seizure-free (ILAE 1) and one patient experienced a seizure reduction of more than 50% (ILAE 4). ConclusionsIn this single-center prospective study, we demonstrated the added value of automated ESI in the presurgical evaluation of MRI-negative cases, especially in helping to plan the implantation of depth electrodes for SEEG, provided that ESI results are integrated into the whole multimodal evaluation and clinically interpreted.

Network metrics to localize the Seizure Onset Zone: A Directed Functional Connectivity Study Using MEG Data (P2-1.004)

<h3>Objective:</h3> We aimed to analyze ictal networks via magnetoencephalography-based (MEG) directed functional connectivity (FC), to better guide intracranial EEG (iEEG) studies. <h3>Background:</h3> Epilepsy is a network disorder. Thus, the importance of integrating connectivity-based approaches during epilepsy presurgical evaluation. Studies applying MEG non-directed FC evidenced a good correlation with post-surgical outcomes. Directed FC, such as Spectral Bivariate Granger Causality (SBGC), has the advantage of differentiating probable sinks from hubs in networks. <h3>Design/Methods:</h3> Ictal MEG and MRI data from eight drug-resistant epilepsy patients (four pediatric, six females) were included. Source space SBGC was performed and grouped in frequency bands. Nodes with higher influence in outgoing signals (hubs) and receiving signals (authority) were identified. The top 2 hub and authority nodes were selected and compared to clinical data. <h3>Results:</h3> Seven patients had iEEG, three of which had subsequent epilepsy surgery. Another patient underwent direct surgery. Two patients continued presenting seizures after resection. All others were seizure-free after 1-month and 18-month follow-ups. For all patients, the irritative zone (80%) or nearby regions (20%) were captured by one of the top two hub nodes in the highest power frequency band and the delta band. For the patients with seizure freedom, at least one of the top two hub nodes included the Seizure Onset Zone (SOZ). In the patient with an 18-month Engel 1A classification, both top hub nodes were included in the resection area. For an adult patient with multifocal SOZs, the highest authority node represented another less active SOZ. <h3>Conclusions:</h3> The regions identified by our connectivity metrics demonstrated overlap with regions identified with iEEG in the majority of the patients, and those patients in which resection included a hub node had favorable post-surgical outcomes. We contend that network metrics using SBGC and MEG data can be useful to better understand epilepsy dynamics and enhance epilepsy management in clinical practice. <b>Disclosure:</b> Dr. Cardoso Da Fonseca has nothing to disclose. Ms. Askari has nothing to disclose. Dr. Proskovec has nothing to disclose. Dr. Alick-Lindstrom has nothing to disclose. Dr. Lowden has nothing to disclose. Dr. Talai has nothing to disclose. The institution of Joseph Maldjian has received research support from NIH. Dr. Davenport has nothing to disclose.

Nichtläsionelle Epilepsie – ein Fallbericht aus der Erwachsenen-Neurologie

AbstractWe report the case of a patient with nonlesional, pharmacoresistant epilepsy. Bilateral synchronous discharges as well as focal discharges were identified on electroencephalogram (EEG). After non-invasive and invasive presurgical evaluation, a probable epileptogenic zone was identified with concordant results of focal origin involvement of the left temporal pole. Resective epilepsy surgery provided seizure freedom (last follow-up at 12 months). The case nicely illustrates that bilateral synchronous discharges or/and a lack of lesions on neuroimaging are not contraindications to presurgical evaluation of epilepsy, which on the contrary should be offered to all patients with pharmacoresistant epilepsy. The case also illustrates the importance of combining electrophysiological, imaging, and neuropsychological information to guide intracranial EEG placement and improve postsurgical outcome.

Culturally Informed Neuropsychological Evaluations in Pediatric Epilepsy: Evidence-Based Practice Considerations.

Epilepsy is one of the most common reasons for referral for a pediatric neuropsychological evaluation due its high prevalence in childhood and our well-established clinical role in tertiary care settings. Emerging evidence indicates that racial and ethnic minority populations experience increased epilepsy burden compared with White peers. Although there has been heightened recognition in our specialty regarding the dire need for culturally and linguistically responsive evaluations, the scientific evidence to support effective neuropsychological service delivery for bi/multilingual and bi/multicultural youth with epilepsy is comparatively scant and of poor quality. As a result, significant patient and clinical challenges exist, particularly in high stakes presurgical pediatric epilepsy evaluations of bi/multilingual and bi/multicultural children. Given that Spanish is the most common language spoken in the United States after English, this paper will focus on Spanish and English measures, but will provide evidence-based practice considerations that can inform practices with other non-English speaking communities. Cultural and linguistic factors that affect clinical decision-making regarding test selection, test interpretation, and feedback with families are highlighted. We offer a review of neuropsychological profiles associated with pediatric epilepsy as well as a flexible, multimodal approach for the assessment of linguistically and culturally diverse children with epilepsy based on empirical evidence and the clinical experiences of pediatric neuropsychologists from diverse backgrounds who work with children with epilepsy. Limitations to this approach are discussed, including the lack of available measures and resources for culturally and linguistically diverse pediatric populations. A case illustration highlights a culturally informed assessment approach.