Delays in the diagnosis and surgical treatment of drug-resistant epilepsy: A cohort study.

OBJECTIVE: Delay in referral for epilepsy surgery of patients with drug-resistant epilepsy (DRE) is associated with decreased quality of life, worse surgical outcomes, and increased risk of sudden unexplained death in epilepsy (SUDEP). Understanding the potential causes of delays in referral and treatment is crucial for optimizing the referral and treatment process. We evaluated the treatment intervals, demographics, and clinical characteristics of patients referred for surgical evaluation at our level 4 epilepsy center in the U.S. Intermountain West. METHODS: We retrospectively reviewed the records of patients who underwent surgery for DRE between 2012 and 2022. Data collected included patient demographics, DRE diagnosis date, clinical characteristics, insurance status, distance from epilepsy center, date of surgical evaluation, surgical procedure, and intervals between different stages of evaluation. RESULTS: Within our cohort of 185 patients with epilepsy (99 female, 53.5%), the mean ± standard deviation (SD) age at surgery was 38.4 ± 11.9 years. In this cohort, 95.7% of patients had received definitive epilepsy surgery (most frequently neuromodulation procedures) and 4.3% had participated in phase 2 intracranial monitoring but had not yet received definitive surgery. The median (1st-3rd quartile) intervals observed were 10.1 (3.8-21.5) years from epilepsy diagnosis to DRE diagnosis, 16.7 (6.5-28.4) years from epilepsy diagnosis to surgery, and 1.4 (0.6-4.0) years from DRE diagnosis to surgery. We observed significantly shorter median times from epilepsy diagnosis to DRE diagnosis (p < .01) and epilepsy diagnosis to surgery (p < .05) in patients who traveled further for treatment. Patients with public health insurance had a significantly longer time from DRE diagnosis to surgery (p < .001). SIGNIFICANCE: Both shorter distance traveled to our epilepsy center and public health insurance were predictive of delays in diagnosis and treatment intervals. Timely referral of patients with DRE to specialized epilepsy centers for surgery evaluation is crucial, and identifying key factors that may delay referral is paramount to optimizing surgical outcomes.

Long-Term Intracranial EEG Lateralization of Epileptogenicity in Patients With Confirmed or Suspected Bilateral Mesial Temporal Lobe Onsets During Epilepsy Surgical Evaluation.

PURPOSE: The data resulting from epilepsy surgical evaluation are occasionally unclear in cases of mesial temporal lobe (MTL) epilepsy. Long-term intracranial EEG (iEEG) collected by the Responsive Neurostimulation (RNS) System may be an approach for capturing additional seizure data while treating patients with neurostimulation. We reviewed iEEG seizure lateralization and clinical outcomes in bilateral MTL patients at University of Utah. METHODS: Long-term RNS System iEEG seizure lateralization was compared with pre-RNS System lateralization obtained during surgical evaluation. Safety and clinical outcomes were extracted retrospectively from patient records. RESULTS: Twenty-six patients received an RNS System with bilateral MTL leads. Fifteen of the patients had adequate follow-up to report clinical outcomes (>1 year), and 25 patients had enough recorded data (>6 months) to perform iEEG analysis. Median percent reduction in clinical seizures at last follow-up was 58%, and 40% reported being seizure-free at last follow-up, for variable durations. The electrographic seizure lateralization (unilateral vs. bilateral) differed between surgical evaluation and long-term iEEG in 44% of our patients. In the subset of eight patients (32%) who had only unilateral seizures recorded during surgical evaluation, but were implanted with bilateral MTL leads based on bilateral interictal epileptiform discharges, 62% (5/8) had bilateral seizures recorded on long-term iEEG. Interestingly, in the 18 patients who had bilateral seizures recorded during surgical evaluation, 28% (5/18) were found to be unilateral on long-term iEEG. CONCLUSIONS: Our data suggest that RNS System implantation in suspected bilateral MTL cases may be an option to assess a patient's true seizure lateralization on long-term iEEG. Responsive neuromodulation should be considered before resection or ablation in cases that have evaluation data suggesting bilaterality.

Diversity of electroencephalographic patterns during propofol-induced burst suppression.

Burst suppression is a brain state consisting of high-amplitude electrical activity alternating with periods of quieter suppression that can be brought about by disease or by certain anesthetics. Although burst suppression has been studied for decades, few studies have investigated the diverse manifestations of this state within and between human subjects. As part of a clinical trial examining the antidepressant effects of propofol, we gathered burst suppression electroencephalographic (EEG) data from 114 propofol infusions across 21 human subjects with treatment-resistant depression. This data was examined with the objective of describing and quantifying electrical signal diversity. We observed three types of EEG burst activity: canonical broadband bursts (as frequently described in the literature), spindles (narrow-band oscillations reminiscent of sleep spindles), and a new feature that we call low-frequency bursts (LFBs), which are brief deflections of mainly sub-3-Hz power. These three features were distinct in both the time and frequency domains and their occurrence differed significantly across subjects, with some subjects showing many LFBs or spindles and others showing very few. Spectral-power makeup of each feature was also significantly different across subjects. In a subset of nine participants with high-density EEG recordings, we noted that each feature had a unique spatial pattern of amplitude and polarity when measured across the scalp. Finally, we observed that the Bispectral Index Monitor, a commonly used clinical EEG monitor, does not account for the diversity of EEG features when processing the burst suppression state. Overall, this study describes and quantifies variation in the burst suppression EEG state across subjects and repeated infusions of propofol. These findings have implications for the understanding of brain activity under anesthesia and for individualized dosing of anesthetic drugs.

Neuropsychological evaluation in American Sign Language: A case study of a deaf patient with epilepsy.

In high-stake cases (e.g., evaluating surgical candidacy for epilepsy) where neuropsychological evaluation is essential to care, it is important to have culturally and linguistically appropriate and accessible neuropsychological instruments and procedures for use with deaf individuals who use American Sign Language (ASL). Faced with these ethical and professional issues, clinicians may be unable to provide equitable services without consulting with other psychologists and collaborating with the patient and interpreter. This is a case report describing a 43-year-old male with bilateral sensorineural deafness and a lifelong history of drug-resistant temporal lobe epilepsy who presented as a candidate for a comprehensive neurological workup to determine surgical candidacy. He was bilingual (ASL and written English). We describe all aspects of the evaluation, including functional magnetic resonance imaging (fMRI) and Wada testing, using an ASL interpreter. Results from the neuropsychological evaluation were not clearly lateralizing, but suggested greater compromise to the non-dominant right hemisphere. fMRI and Wada test results revealed language and verbal memory functions were lateralized to the left hemisphere. The patient was deemed to be an adequate candidate for surgical resection of portions of the right hemisphere. Comprehensive assessment of neuropsychological functioning in deaf persons who use ASL is feasible. This case report illustrates the important considerations relevant to neuropsychologists providing culturally and linguistically informed assessments to deaf ASL users with epilepsy. Additional research in this area will support future efforts to develop effective and efficient models that could be implemented across different settings. Moreover, clinical guidance is warranted to guide professionals interested in promoting access to high quality neuropsychological services.

Wearable Reduced-Channel EEG System for Remote Seizure Monitoring.

Epitel has developed Epilog, a miniature, wireless, wearable electroencephalography (EEG) sensor. Four Epilog sensors are combined as part of Epitel's Remote EEG Monitoring platform (REMI) to create 10 channels of EEG for remote patient monitoring. REMI is designed to provide comprehensive spatial EEG recordings that can be administered by non-specialized medical personnel in any medical center. The purpose of this study was to determine how accurate epileptologists are at remotely reviewing Epilog sensor EEG in the 10-channel "REMI montage," with and without seizure detection support software. Three board certified epileptologists reviewed the REMI montage from 20 subjects who wore four Epilog sensors for up to 5 days alongside traditional video-EEG in the EMU, 10 of whom experienced a total of 24 focal-onset electrographic seizures and 10 of whom experienced no seizures or epileptiform activity. Epileptologists randomly reviewed the same datasets with and without clinical decision support annotations from an automated seizure detection algorithm tuned to be highly sensitive. Blinded consensus review of unannotated Epilog EEG in the REMI montage detected people who were experiencing electrographic seizure activity with 90% sensitivity and 90% specificity. Consensus detection of individual focal onset seizures resulted in a mean sensitivity of 61%, precision of 80%, and false detection rate (FDR) of 0.002 false positives per hour (FP/h) of data. With algorithm seizure detection annotations, the consensus review mean sensitivity improved to 68% with a slight increase in FDR (0.005 FP/h). As seizure detection software, the automated algorithm detected people who were experiencing electrographic seizure activity with 100% sensitivity and 70% specificity, and detected individual focal onset seizures with a mean sensitivity of 90% and mean false alarm rate of 0.087 FP/h. This is the first study showing epileptologists' ability to blindly review EEG from four Epilog sensors in the REMI montage, and the results demonstrate the clinical potential to accurately identify patients experiencing electrographic seizures. Additionally, the automated algorithm shows promise as clinical decision support software to detect discrete electrographic seizures in individual records as accurately as FDA-cleared predicates.