Factors Predicting Outcome After Intracranial EEG Evaluation in Patients With Medically Refractory Epilepsy

Applications and Predictors of Outcomes Following Stereo-Electroencephalography in Pediatric Patients With Drug-Resistant Epilepsy

AIMS

This study aims to evaluate the role of stereo-electroencephalography (SEEG) in managing pediatric patients with drug-resistant epilepsy. We further explore prognostic factors influencing surgical outcomes following SEEG-guided resective or disconnective surgery.

METHODS

A retrospective review was conducted on pediatric patients who underwent SEEG at the Pediatric Epilepsy Center, Peking University First Hospital, between July 2017 and July 2022. Univariate and multivariate analyses identified key predictors for SEEG-guided surgery. Kaplan-Meier survival analysis was employed to estimate the seizure-free rate, and further statistical tests were applied to evaluate factors associated with seizure outcomes.

RESULTS

Among the 148 children included in this study, 102 underwent SEEG-guided resective/disconnective surgery. Multivariate regression identified age at surgery (p < 0.05, 95% CI 0.190-0.997) as an independent predictor for selecting resective/disconnective surgery. The seizure-free rate in patients who underwent SEEG-guided surgery was 69.6%. Multivariate regression confirmed that total resection with lesional MRI (p < 0.05, 95% CI 0.012-0.186) and FCD type II (p < 0.05, 95% CI 0.051-0.851) were strong predictors of seizure freedom.

CONCLUSIONS

SEEG plays a crucial role in pediatric epilepsy surgery, particularly in children under 6 years old. Total resection with lesional MRI and FCD type II was the most favorable prognostic predictor for achieving seizure freedom in children undergoing SEEG-guided surgery.

Predictors of SOZ localization, subsequent surgical intervention, and seizure outcomes in iEEG

OBJECTIVE

A third of the patients who undergo intracranial EEG (iEEG) for seizure-onset zone (SOZ) localization do not proceed to resective surgery for epilepsy, and over half of those who do continue to have seizures following treatment. To better identify candidates who are more likely to see benefits from undergoing iEEG, we investigated preoperative and iEEG peri-operative features associated with the localization of a putative SOZ, undergoing subsequent surgical treatment, and seizure outcomes.

METHODS

We conducted a retrospective cohort study of consecutive patients who underwent iEEG from 2001 to 2022 at two institutions. Outcomes included SOZ identification, proceeding to surgical treatment (resection vs. neuromodulation), and subsequent seizure freedom.

RESULTS

We identified 329 unique patients who were followed for a median of 3.9 (IQR:7) years, with a minimum of 2-year follow-up for seizure outcomes analyses. Multivariate analysis identified lateralized and lobar localization on scalp EEG (OR 3.8, p = 0.001) to be associated with SOZ localization. Patients with unilateral localization on scalp EEG (OR 3.0, p = 0.003), unilateral preimplantation hypothesis (OR 3.1, p = 0.001), and lesional preoperative MRI (OR 2.1, p = 0.033) were more likely to undergo resection than neuromodulation. Similarly, a unilateral pre-implantation hypothesis (OR 2.6, p < 0.001) favored seizure freedom, whereas prior neuromodulation (OR 0.3, p = 0.013) decreased the odds. Larger number of preoperative anti-seizure medications (ASMs) did not influence seizure freedom rates but did decrease favorable (Engel I, II) seizure outcomes (OR 0.7, p = 0.026).

INTERPRETATION

Non-invasive localization data prior to iEEG are associated with subsequent resection and seizure freedom, independent of iEEG localization. Factors predictive of SOZ localization are not necessarily predictive of post-operative seizure freedom.

Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives

Epilepsy is a life-threatening neurological condition. Manual detection of epileptic seizures (ES) is laborious and burdensome. Machine learning techniques applied to electroencephalography (EEG) signals are widely used for automatic seizure detection. Some key factors are worth considering for the real-world applicability of such systems: (i) continuous EEG data typically has a higher class imbalance; (ii) higher variability across subjects is present in physiological signals such as EEG; and (iii) seizure event detection is more practical than random segment detection. Most prior studies failed to address these crucial factors altogether for seizure detection. In this study, we intend to investigate a generalized cross-subject seizure event detection system using the continuous EEG signals from the CHB-MIT dataset that considers all these overlooked aspects. A 5-second non-overlapping window is used to extract 92 features from 22 EEG channels; however, the most significant 32 features from each channel are used in experimentation. Seizure classification is done using a Random Forest (RF) classifier for segment detection, followed by a post-processing method used for event detection. Adopting all the above-mentioned essential aspects, the proposed event detection system achieved 72.63% and 75.34% sensitivity for subject-wise 5-fold and leave-one-out analyses, respectively. This study presents the real-world scenario for ES event detectors and furthers the understanding of such detection systems.

Specific consistency score for rational selection of epilepsy resection surgery candidates

OBJECTIVE

Degree of indication for epilepsy surgery is determined by taking multiple factors into account. This study aimed to investigate the usefulness of the Specific Consistency Score (SCS), a proposed score for focal epilepsy to rate the indication for epilepsy focal resection.

METHODS

This retrospective cohort study included patients considered for resective epilepsy surgery in Kyoto University Hospital from 2011 to 2022. Plausible epileptic focus was tentatively defined. Cardinal findings were scored based on specificity and consistency with the estimated laterality and lobe. The total points represented SCS. The association between SCS and the following clinical parameters was assessed by univariate and multivariate analysis: (1) probability of undergoing resective epilepsy surgery, (2) good postoperative seizure outcome (Engel I and II or Engel I only), and (3) lobar concordance between the noninvasively estimated focus and intracranial electroencephalographic (EEG) recordings.

RESULTS

A total of 131 patients were evaluated. Univariate analysis revealed higher SCS in the (1) epilepsy surgery group (8.4 [95% confidence interval (CI) = 7.8-8.9] vs. 4.9 [95% CI = 4.3-5.5] points; p < .001), (2) good postoperative seizure outcome group (Engel I and II; 8.7 [95% CI = 8.2-9.3] vs. 6.4 [95% CI = 4.5-8.3] points; p = .008), and (3) patients whose focus defined by intracranial EEG matched the noninvasively estimated focus (8.3 [95% CI = 7.3-9.2] vs. 5.4 [95% CI = 3.5-7.3] points; p = .004). Multivariate analysis revealed areas under the curve of .843, .825, and .881 for Parameters 1, 2, and 3, respectively.

SIGNIFICANCE

SCS provides a reliable index of good indication for resective epilepsy surgery and can be easily available in many institutions not necessarily specializing in epilepsy.

Responsive neurostimulation for treatment of pediatric refractory epilepsy: A pooled analysis of the literature

BACKGROUND

Drug-resistant epilepsy (DRE) is a complex medical condition often requiring resective surgery and/or some form of neurostimulation. In recent years responsive neurostimulation (RNS) has shown promising results in adult DRE, however there is a paucity of information regarding outcomes of RNS among pediatric patients treated with DRE. In this individual patient data meta-analysis (IPDMA) we seek to elucidate the effects RNS has on the pediatric population.

METHODS

Literature regarding management of pediatric DRE via RNS was reviewed in accordance with individual patient data meta-analysis guidelines. Four databases were searched with keywords ((Responsive neurostimulation) AND (epilepsy)) through December of 2022. From 1624 retrieved full text studies, 15 were ultimately included affording a pool of 98 individual participants.

RESULTS

The median age at implantation was 14 years (n = 95) with 42% of patients having undergone prior resective epilepsy surgery, 18% with prior vagus nerve stimulation (VNS), and 1% with prior RNS. At a median follow up time 12 months, median percent seizure reduction was 75% with 57% of patients achieving Engel Class < 2 outcome, 9.7% of which achieved seizure freedom. We report a postoperative complication rate of 8.4%, half of which were device-related infections. Magnetic resonance imaging (MRI)-negative cases were negatively associated with magnitude of seizure reduction, and direct targeting techniques were associated with stronger treatment response when compared to other methods.

CONCLUSIONS

This review suggests RNS to be an effective treatment modality for pediatric patients with a postoperative complication rate comparable to that of RNS in adults. Investigation of prognostic clinical variables should be undertaken to augment patient selection. Last, multi-institutional prospective study of long-term effects of RNS on pediatric patients would stand to benefit clinicians in the management of pediatric DRE.

Using pre-surgical suspicion to guide insula implantation strategy

Rationale

Insular epilepsy can be a challenging diagnosis due to overlapping semiology and scalp EEG findings with frontal, temporal, and parietal lobe epilepsies. Stereotactic electroencephalography (sEEG) provides an opportunity to better localize seizure onset. The possibility of improved localization is balanced by implantation risk in this vascularly rich anatomic region. We review both safety and pre-implantation factors involved in insular electrode placement across four years at an academic medical center.

Methods

Presurgical data, operative reports, and invasive EEG summaries were retrospectively reviewed for patients undergoing invasive epilepsy monitoring on the insula from 2016 through 2019. EEG reports were reviewed to record the presence of insula ictal and interictal involvement. We recorded which presurgical findings suggested insular involvement (insula lesion on MRI, insula changes on PET/SPECT/scalp EEG, characteristic semiology, or history of failed anterior temporal lobectomy). The likelihood of pre-sEEG insular onset was categorized as low suspicion if no presurgical findings were present ("rule out"), moderate suspicion if one finding was present, and high suspicion if two or more findings were present.

Results

76 patients received 189 insular electrodes as part of their implantation strategy for 79 surgical cases. Seven patients (8.9%) had insular ictal onset. One clinically significant complication (left hemiparesis) occurred in a patient with moderate suspicion for insular onset. There were 38 low suspicion cases, 36 moderate suspicion cases, and 5 high suspicion cases for pre-sEEG insula ictal onset. Two low suspicion (5.3%), three moderate suspicion (8.6%), and two high suspicion (40%) cases had insular ictal onset.

Conclusions

The insula can safely receive sEEG. Having two or more presurgical factors indicating insular onset is a strong, albeit incomplete, predictor of insular seizure onset. Using pre-implantation clinical findings can offer clinicians predictive value for targeting the insula during invasive EEG monitoring.

Nomograms Should Not Be Used by General Neurologists When Considering Referral for Epilepsy Surgery

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