Localisation in focal epilepsy: a practical guide

Controlled release of carbamazepine at Therapeutically relevant doses using photocrosslinkable polyanhydrides

Epilepsy, one of the most common neurological disorders, is primarily managed with oral antiseizure medications. While effective for many patients, the short half-lives of most anti-epilepsy drugs (AEDs) necessitate frequent dosing, leading to poor adherence and compromised seizure control. Controlled-release drug delivery systems offer a promising solution by maintaining consistent drug levels, reducing dosing frequency, and minimizing side effects. Among these systems, photocrosslinkable polyanhydrides are particularly promising due to their unique surface erosion properties across a wide pH range, making them ideal for oral drug delivery applications. These polymers are synthesized from cost-effective starting materials, have tunable structures, and are biocompatible, biodegradable, and nontoxic. This study explores the potential of photocrosslinkable polyanhydrides synthesized via thiol-ene 'click' chemistry for the controlled release of carbamazepine. Carbamazepine is an antiepileptic drug with poor water solubility and a narrow therapeutic range. Unlike other controlled-release systems, which faced challenges with high drug loading or compromised polymer integrity, here we demonstrate that photocrosslinkable polyanhydrides can achieve carbamazepine loadings of up to 30 wt% while preserving their surface erosion properties. Cylindrical tablets fabricated from these polymers exhibit tailored release profiles, achieving sustained drug release over 5 to 33 h by adjusting the monomer ratios. Additionally, delayed release systems are demonstrated, allowing controlled onset times ranging from 2 to 10 h by varying the monomer composition. This approach provides a practical and efficient system for high-dose controlled-release carbamazepine delivery, offering a versatile and effective platform for enhanced epilepsy treatment.

Distinctive seizure signature in the first video case-control study of a naturally-occurring feline autoimmune encephalitis model

BACKGROUND AND OBJECTIVE

Autoimmune encephalitis (AE) is a form of brain inflammation where pathogenic autoantibodies bind surface proteins. In humans, AE is at least as common as infective encephalitis, and seizures are a prominent manifestation. The most common adult human AE is associated with antibodies to leucine-rich glioma-inactivated 1 (LGI1-Ab-E). AE in non-human mammals is also recognised, notably the polar bear 'Knut', diagnosed with N-methyl D-aspartate receptor antibody encephalitis. LGI1-Ab-E is an emerging cause of spontaneously-arising AE in domestic cats. Our objective was to phenotype the seizure profile of feline LGI1-Ab-E and probe parallels to its human counterpart.

METHODS

We characterised seizures in naturally-occurring feline LGI1-Ab-E. Three veterinary and two human neurologists independently blind-rated 35 LGI1-antibody positive and negative feline seizure videos from 24 cats (16 LGI1-Ab-E positive, 8 negative). Data analysed included seizure frequency, semiologies and their co-occurrence, localisation, inter-rater agreement, and predictive factors.

RESULTS

The mean number of daily seizures at peak was significantly higher in LGI1-antibody positive compared to LGI1-antibody-negative cats (12.6 vs. 1.9/day, pcorr = 0.011). Semiologies statistically significantly enriched in LGI1-Ab-E observations included orofacial automatisms (88/120, 73 % vs. 26/55, 47 %, pcorr = 0.024), salivation (87/120, 73 % vs. 23/55, 42 %, pcorr = 0.004); and mydriasis (79/120, 66 % vs 19/55, 35 %, pcorr = 0.004), and almost exclusively seen in LGI1-Ab-E were circling (39/120, 33 % vs. 1/55, 2 %, pcorr=<0.001) and aggression (14/120, 12 % vs. 0/55, 0 %, non significant after correction). A temporal lobe onset was proposed in 67 % (80/120) of seropositive ratings, compared to 28 % (15/55) LGI1-Ab-E negative (p < 0.0001). Network analysis depicted complex and overlapping relationships between features, akin to the frequent and multifaceted seizures of human LGI1-Ab-E. Orofacial automatisms, mydriasis and temporal lobe localisation were predictive semiological features of feline LGI1-Ab-E.

SIGNIFICANCE

Feline LGI1-Ab-E represents a clinically distinctive seizure disorder. Our findings highlight the value of studying naturally-occurring, biologically representative animal models which closely mimic human diseases. This bidirectional translational approach confers benefits across species and unites human and veterinary neurology.

Development and validation of a predictive model for seizure recurrence following discontinuation of antiseizure medication in children with epilepsy: a systematic review and meta-analysis, and prospective cohort study

Background

Seizure relapse in pediatric patients with epilepsy after antiseizure medication (ASM) withdrawal is a critical concern, yet the risk factors are not fully understood. Identifying these factors is essential for personalized treatment planning.

Methods

In this systematic review and meta-analysis, and prospective cohort study, we conducted a meta-analysis of cohort studies to derive a predictive model for seizure recurrence post-ASM discontinuation, then validated it in a prospective cohort study. The derivation cohort was derived from a systematic, search of PubMed, Web of Science, Embase, and Cochrane Library (from inception to May 1,2024) for English-language cohort studies on risk factors for seizure recurrence after ASM withdrawal in pediatric epilepsy, focusing on children initiating ASM tapering with documented relapse, while excluding case reports, and non-pharmacological interventions. Risk factors were selected and weighted according to the statistical significance of pooled relative risks (RRs), with β coefficients derived from log-transformed RRs to establish weighted scores in the predictive model. The validation cohort included children with epilepsy enrolled between February 16, 2015 and November 15, 2024, from two Chinese hospitals. Inclusion criteria comprised first-time ASM withdrawal candidates aged <18 years with ≥24-month follow-up, while exclusion criteria focused on incomplete data, protocol deviations, and non-pharmacological interventions. This study is registered at https://www.medicalresearch.org.cn/ (MR-50-24-042059).

Findings

A total of 26 cohort studies were identified from the systematic review and included in the meta-analysis. The derivation cohort included 4080 children with epilepsy, of whom 959 (23.50%) experienced seizure recurrence. The predictive model identified nine significant risk factors: intellectual disability, abnormal neurological examination or motor deficit, history of febrile seizures, only focal onset seizures, overall number of ASM used, duration of epilepsy ≥3 years, abnormal electroencephalogram (EEG) at the start of ASM tapering, abnormal EEG after ASM tapering, and age at first seizure ≥10 years. β coefficients were derived from the logarithm of pooled relative risks for each factor and converted into weighted scores, yielding a maximum total risk score of 17. The validation cohort comprised 341 patients with a median follow-up duration of 2.84 (0.27-9.75) years, and 122 (35.8%) out of them had seizure relapses. The model demonstrated robust performance in the validation cohort, with an AUC of 0.85 (95% CI: 0.81-0.91), sensitivity of 0.74 (95% CI: 0.68-0.80), and specificity of 0.82 (95% CI: 0.75-0.89).

Interpretation

Our evidence-based predictive model offers a robust tool for estimating the risk of seizure recurrence in pediatric patients with epilepsy after ASM withdrawal, aiding clinicians in personalized treatment decisions. While this tool enhances personalized treatment decisions in epilepsy management, its predictive thresholds require external validation across diverse clinical settings and populations to ensure broad clinical applicability.

Funding

Chongqing Medical University (CQMU) Program for Youth Innovation in Future Medicine.

Vestibular epilepsy associated with a temporoparietal lobe meningioma in a cat

A 15-year-old male castrated domestic shorthair cat presented with increasingly frequent vestibular episodes. The cat exhibited episodes of a head tilt, nystagmus, abnormal mental state, vocalizing, hypersalivation, restlessness, and vomiting. Episodes were <60 minutes long with normal inter-episode condition. Systemic evaluations were generally benign. Magnetic resonance imaging documented a small meningioma in the left temporoparietal junction area with no other structural evidence of vestibular system pathologies. The episode frequency decreased with administration of levetiracetam which was discontinued 91 days post-craniotomy. The cat had 2 more limited vestibular episodes: 1 at 211 days after craniotomy, and the second at 489 days after craniotomy. The cat maintained normal inter-episode condition until it was euthanized for unrelated transitional cell carcinoma 907 days post-craniotomy.

Comparison of time perception in individuals between focal and generalized epilepsy

BACKGROUND

Numerous cognitive impairments have been documented in patients with epilepsy, particularly in relation to memory and executive functions. However, research on time perception is relatively limited and primarily focuses on temporal lobe epilepsy. The current study seeks to compare time perception performance between patients with focal epilepsy and those with generalized epilepsy.

METHODS

A total of fifty-one individuals diagnosed with focal epilepsy and fifty-one individuals diagnosed with generalized epilepsy, which were monitored at the Epilepsy and Sleep Center, participated in this study. Initially, participants were asked to complete the Patient Health Questionnaire-9 (PHQ-9). Following this, they underwent computer-based assessments of time perception, which included the Time Estimation Test (TIET) and the Time Interval Production Test (TIPT). The intervals assessed were 4, 7, 32, and 58 s.

RESULTS

The mean age of the sample was 32.65 years (±1.28). The sample consisted of 36 male and 66 female participants. The mean number of years of education was 12.3 years, while the mean age at disease onset was 18.7 years, and the mean duration of the disease was 13.8 years. The TIPT ratio was significantly lower in the focal epilepsy group, with recorded values of 4 s (Z = -2.540; p = 0.011) and 7 s (Z = -2.274; p = 0.023). No significant differences were observed in other parameters of time perception.

CONCLUSIONS

Research has demonstrated notable differences in time perception between individuals diagnosed with focal epilepsy and those with generalized epilepsy. The results suggest that time perception is more profoundly affected in patients with focal epilepsy in comparison to their counterparts with generalized epilepsy. Further comprehensive studies are necessary to explore the neural mechanisms that contribute to this disparity.

Temporal lobe epilepsy with isolated amygdala enlargement: anatomo-electro-clinical features and long-term outcome

BACKGROUND

Temporal lobe epilepsy with isolated amygdala enlargement (TLE-AE) still lacks a definite characterization and controversies exist.

METHODS

We conducted a retrospective study identifying brain MRI scans with isolated AE between 2015 and 2021. We collected clinical and paraclinical data of patients with TLE-AE and evaluated the outcome.

RESULTS

Forty-one subjects were included (20 males; AE: right 13; left 24; bilateral 4). A strong correlation was found between AE and MRI T2-hyperintensity (right: p < 0.005; left: p < 0.003). There was no history of febrile seizures; 85,4% had focal seizures with impaired awareness, 78,1% reported auras (epigastric sensation, déjà-vu, anxiety), 37% had psychiatric disturbances, 48,6% presented with cognitive impairment. We report that AE correlates with FDG-PET temporomesial hypometabolism (right: p = 0.022; left: p = 0.053), temporal interictal activity on EEG (n = 41), and temporal ictal findings during long-term video-EEG monitoring (n = 23). Epilepsy surgery (n = 17) revealed gliosis (n = 4), inflammatory infiltrates (n = 4), or low-grade epilepsy-associated neuroepithelial tumors (n = 5) in the amygdala. Other treatments were immunotherapy (n = 6) and only antiseizure medications (n = 17), with good prognosis (58,1% seizure-free and 17,1% only with auras at last follow-up). There was no correlation between longitudinal changes in seizure frequency and amygdala size (p = 0.848) and T2-hyperintensity (p = 0.909).

CONCLUSIONS

AE should be searched in TLE patients with typical aura, psychiatric and/or neurocognitive disturbances. The strong correlations found between AE lateralization and neurophysiological, FDG-PET, and MRI data support involvement of AE in the epileptogenic network. Drug resistance should prompt presurgical study. Inflammation in amygdala specimens and response after immunotherapy suggest an immune-mediated etiology in some TLE-AE cases.

Enhancing non-invasive pre-surgical evaluation through functional connectivity and graph theory in drug-resistant focal epilepsy

BACKGROUND

Epilepsy, characterized as a network disorder, involves widely distributed areas following seizure propagation from a limited onset zone. Accurate delineation of the epileptogenic zone (EZ) is crucial for successful surgery in drug-resistant focal epilepsy. While visual analysis of scalp electroencephalogram (EEG) primarily elucidates seizure spreading patterns, we employed brain connectivity techniques and graph theory principles during the pre-ictal to ictal transition to define the epileptogenic network.

METHOD

Cortical sources were reconstructed from 40-channel scalp EEG in five patients during pre-surgical evaluation for focal drug-resistant epilepsy. Temporal Granger connectivity was estimated ten seconds before seizure and at seizure onset. Results have been analyzed using some centrality indices taken from Graph theory (Outdegree, Hubness). A new lateralization index is proposed by taking into account the sum of the most relevant hubness values across left and right regions of interest.

RESULTS

In three patients with positive surgical outcomes, analysis of the most relevant Hubness regions closely aligned with clinical hypotheses, demonstrating consistency in EZ lateralization and location. In one patient, the method provides unreliable results due to the abundant movement artifacts preceding the seizure. In a fifth patient with poor surgical outcome, the proposed method suggests a wider epileptic network compared with the clinically suspected EZ, providing intriguing new indications beyond those obtained with traditional electro-clinical analysis.

CONCLUSIONS

The proposed method could serve as an additional tool during pre-surgical non-invasive evaluation, complementing data obtained from EEG visual inspection. It represents a first step toward a more sophisticated analysis of seizure onset based on connectivity imbalances, electrical propagation, and graph theory principles.

Distinguishing seizures in autoimmune limbic encephalitis from mesial temporal lobe epilepsy with hippocampal sclerosis: Clues of a temporal plus network

OBJECTIVE

Diagnosing autoimmune limbic encephalitis (ALE) in adults with new-onset seizures can be challenging, especially when seizures represent the predominant manifestation and MRI findings are not straightforward. By comparison with mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS), this study aimed to identify ictal electro-clinical features that might help clinicians recognize ALE-related seizures.

METHODS

This retrospective, multi-centre study analysed the ictal semiology and EEG correlate of 116 video-EEG-captured seizures in 40 ALE patients and 45 ones recorded in 21 MTLE-HS subjects. The proportion of patients presenting each clinical feature on at least one occasion was compared between the study groups. Latent class analysis (LCA) was also performed.

RESULTS

Ictal features were overall more numerous in ALE than in MTLE-HS (33 vs 22), and LCA confirmed the intrinsic variability of ALE-related seizures. Hyperventilation served as a trigger only in ALE (4/40). Awareness impairment (p = 0.032), limb dystonic posturing (p = 0.009) and manual automatisms (p < 0.001) were significantly less common in ALE cases. Conversely, piloerection was observed only in ALE subjects, although it did not reach statistical significance (p = 0.289), as was the case for déjà-vu (p = 0.084), and sensory symptoms (p = 0.079). Regarding EEG, the type of ictal pattern differed significantly (p = 0.007).

SIGNIFICANCE

This study shows that, despite the wide overlap with MTLE-HS, some ictal electro-clinical features could help clinicians suspect the autoimmune origin of adult-onset seizures. Moreover, autoimmune limbic seizures apparently shared similarities with 'temporal plus' epilepsy, which could partly account for the poor surgical outcomes and provide an interesting conceptual framework for future research.

Customized GPT model largely increases surgery decision accuracy for pharmaco-resistant epilepsy

BACKGROUND

To develop an enhanced epilepsy diagnosis system by integrating an expert-informed ontology with a custom generative pre-trained transformer (GPT), validated by inferring possible seizure lateralization and localization using retrospective textual data from the pre-surgical assessments of patients with pharmaco-resistant epilepsy (PRE).

METHODS

We developed an AI system for epilepsy diagnosis using Protégé with OWL/SWRL, integrating a knowledge base with seizure semiology, seizure types EEG descriptors, expert insights, and literature to pinpoint seizure locations. A customized GPT model was then tailored for specific diagnostic needs. Validated through 16 surgical cases, the system's accuracy in seizure localization and the JSON (JavaScript Object Notation) Epilepsy Matcher's term matching capabilities were confirmed against a Protégé-based knowledge base.

RESULTS

A total of 117 patients with PRE underwent video-EEG monitoring at a single institution. However, only 16 of these patients received epilepsy surgery. The Protégé system achieved 75 % accuracy in diagnosing epilepsy from 16 cases using semiology, which increased to 87.5 % with EEG data. The Json Epilepsy Matcher further improved accuracy to 87.5 % with symptoms alone and 93.8 % when including EEG data, highlighting the benefits of applying GPT techniques.

CONCLUSIONS

This study highlights the efficacy of the JSON Epilepsy Matcher in improving seizure diagnosis accuracy. When combined with EEG data, it achieves a 93.8 % accuracy rate, suggesting a potential improvement in the practicality and generalizability of the original ontology expert system, boosting physicians' confidence in confirming surgery and potentially sparing many children from prolonged suffering. This innovative approach not only improves diagnostic accuracy but also sets a precedent for future applications of AI in neurology.

Subcortical Alterations in Newly Diagnosed Epilepsy and Associated Changes in Brain Connectivity and Cognition

Patients with chronic focal epilepsy commonly exhibit subcortical atrophy, particularly of the thalamus. The timing of these alterations remains uncertain, though preliminary evidence suggests that observable changes may already be present at diagnosis. It is also not yet known how these morphological changes are linked to the coherence of white matter pathways throughout the brain, or to neuropsychological function often compromised before antiseizure medication treatment. This study investigates localized atrophy in subcortical regions using surface shape analysis in individuals with newly diagnosed focal epilepsy (NDfE) and assesses their implications on brain connectivity and cognitive function. We collected structural (T1w) and diffusion-weighted MRI and neuropsychological data from 104 patients with NDfE and 45 healthy controls (HCs) matched for age, sex, and education. A vertex-based shape analysis was performed on subcortical structures to compare patients with NDfE and HC, adjusting for age, sex, and intracranial volume. The mean deformation of significance areas (pcor < 0.05) was used to identify white matter pathways associated with overall shape alterations in patients relative to controls using correlational tractography. Additionally, the relationship between significant subcortical shape values and neuropsychological outcomes was evaluated using a generalized canonical correlation approach. Shape analysis revealed bilateral focal inward deformation (a proxy for localized atrophy) in anterior areas of the right and left thalamus and right pallidum in patients with NDfE compared to HC (FWE corrected). No structures showed areas of outward deformation in patients. The connectometry analysis revealed that fractional anisotropy (FA) was positively correlated with thalamic and pallidal shape deformation, that is, reduced FA was associated with inward deformation in tracts proximal to and or connecting with the thalamus including the fornix, frontal, parahippocampal, and corticothalamic pathways. Thalamic and pallidal shape changes were also related to increased depression and anxiety and reduced memory and cognitive function. These findings suggest that atrophy of the thalamus, which has previously been associated with the generation and maintenance of focal seizures, may present at epilepsy diagnosis and relate to alterations in both white matter connectivity and cognitive performance. We suggest that at least some alterations in brain structure and consequent impact on cognitive and affective processes are the result of early epileptogenic processes rather than exclusively due to the chronicity of longstanding epilepsy, recurrent seizures, and treatment with antiseizure medication.

Focal seizures induce spatiotemporally organized spiking activity in the human cortex

Epileptic seizures are debilitating because of the clinical symptoms they produce. These symptoms, in turn, may stem directly from disruptions in neural coding. Recent evidence has suggested that the specific temporal order, or sequence, of spiking across a population of cortical neurons may encode information. Here, we investigate how seizures disrupt neuronal spiking sequences in the human brain by recording multi-unit activity from the cerebral cortex in five male participants undergoing monitoring for seizures. We find that pathological discharges during seizures are associated with bursts of spiking activity across a population of cortical neurons. These bursts are organized into highly consistent and stereotyped temporal sequences. As the seizure evolves, spiking sequences diverge from the sequences observed at baseline and become more spatially organized. The direction of this spatial organization matches the direction of the ictal discharges, which spread over the cortex as traveling waves. Our data therefore suggest that seizures can entrain cortical spiking sequences by changing the spatial organization of neuronal firing, providing a possible mechanism by which seizures create symptoms.

Functional seizures and their mimics: a retrospective service review of cases from a tertiary video telemetry database

ABSTRACT

Objective

Identify the proportion of patients referred with putative functional seizures (FS) that were subsequently re-diagnosed as epileptic seizures (ES), or an alternative diagnosis, following video telemetry EEG (VTEEG). In addition, describe the characteristics of those seizures.

Methods

The VTEEG reports from patients admitted to the Chalfont Centre for Epilepsy between 2019 and 2022 were reviewed. Pre-VTEEG and post-VTEEG diagnoses were compared to identify whether a diagnostic revision was made from suspected FS to ES or another diagnosis. Diagnostic revision cases were then grouped into cohorts with associated features and reviewed to characterise and describe FS mimics.

Results

444 VTEEG reports where patients had habitual events were identified. 4.7% of patients were referred with FS and were subsequently diagnosed with ES or another diagnosis. In this group, several cohorts could be identified including frontal lobe epileptic seizures, ES with functional overlay, insular or temporal lobe epileptic seizures associated with autonomic or marked experiential peri-ictal symptoms, and individuals who had both ES and FS but whose ES were revealed on medication withdrawal.

Conclusion

In patients referred to a tertiary epilepsy unit, a small minority of cases had seizures diagnosed as functional and reclassified as epileptic or an alternative diagnosis. It is clinically important to be aware of these FS mimics.

Hidden cases of epilepsy in cognitive impairment clinics: Exploring the use of a portable device for simplified electroencephalography testing

Late-onset epilepsy, particularly focal impaired awareness seizures, often present without convulsions and can cause memory impairment. This can lead patients to initially seek consultation at memory clinics, potentially delaying referral to epilepsy specialists. We report on three patients, aged 40s to 70s, admitted for cognitive evaluation who were finally diagnosed with epileptic seizures as the underlying cause of their symptoms. Notably, all initially presented to local clinics with symptoms suggesting cognitive impairment. Despite initial diagnostic uncertainty, all patients exhibited epileptic activity on electroencephalography (EEG) and responded positively to antiepileptic drugs, suggesting epileptic mechanisms were involved in their symptoms. Both traditional clinical EEG systems and newly developed, one-minute portable EEG devices were used in their evaluations. The portable device, medically approved in Japan, successfully captured sharp-waves like activities with the same durations, amplitudes, and shapes as traditional devices. This highlights its potential to improve epilepsy diagnosis and future screening due to its portability and ease of use. Implementing portable EEG devices could promote timely and appropriate treatment, preventing misdiagnosis of neurological conditions.

Sudden unexpected death in epilepsy and ictal asystole in patients with autoimmune encephalitis: a systematic review

OBJECTIVE

As autoimmune encephalitis (AE) often involves the mesial temporal structures which are known to be involved in both sudden unexpected death in epilepsy (SUDEP) and ictal asystole (IA), it may represent a good model to study the physiopathology of these phenomena. Herein, we systematically reviewed the occurrence of SUDEP and IA in AE.

METHODS

We searched 4 databases (MEDLINE, Scopus, Embase, and Web of Science) for studies published between database inception and December 20, 2022, according to the PRISMA guidelines. We selected articles reporting cases of definite/probable/possible/near-SUDEP or IA in patients with possible/definite AE, or with histopathological signs of AE.

RESULTS

Of 230 records assessed, we included 11 cases: 7 SUDEP/near-SUDEP and 4 IA. All patients with IA were female. The median age at AE onset was 30 years (range: 15-65), and the median delay between AE onset and SUDEP was 11 months; 0.9 months for IA. All the patients presented new-onset seizures, and 10/11 also manifested psychiatric, cognitive, or amnesic disorders. In patients with SUDEP, 2/7 were antibody-positive (1 anti-LGI1, 1 anti-GABABR); all IA cases were antibody-positive (3 anti-NMDAR, 1 anti-GAD65). Six patients received steroid bolus, 3 intravenous immunoglobulin, and 3 plasmapheresis. A pacemaker was implanted in 3 patients with IA. The 6 survivors improved after treatment.

DISCUSSION

SUDEP and IA can be linked to AE, suggesting a role of the limbic system in their pathogenesis. IA tends to manifest in female patients with temporal lobe seizures early in AE, highlighting the importance of early diagnosis and treatment.

Nonsense mutation in DEPDC5 gene in a patient with carbamazepine-responsive focal epilepsy

•DEPDC-5 is a negative regulator of the mTOR pathway.•DEPDC-5 mutations can cause sleep-related hypermotor epilepsy.•Drug-refractory epilepsy is common in this cohort.•Carbamazepine-responsiveness in DEPDC-5-related epilepsy is described here.

Lateralizing value and clinicoradiological features of asymmetric last clonic jerks in temporal and extratemporal epilepsy

Seizure semiology and electroencephalograph (EEG) are very important for determining seizure type, hemisphere lateralization, or localization. Clinical symptoms of focal seizures, as well as findings at the onset or end of a focal to bilateral tonic-clonic seizure (FBTCS), are highly informative for lateralization. This study aimed to investigate the relationship of asymmetric last clonic jerk in patients with temporal or extratemporal lobe epilepsy with pathologies, localization, lateralization, or other semiological findings detected in neuroimaging or neuro psychometric tests and its positive predictive value for the detection of hemisphere lateralization based on seizure onset ictal EEG activation. 44 patients with asymmetric last clonic jerks (aLCJ) who were followed up in our VEM unit were randomized 1:1 with epilepsy patients without. In patients with ipsilateral automatism and contralateral posture or gustatory and olfactory hallucinations aLCJ was less or absent. In patients with unilateral tonic activity, aLCJ was more common. The positive predictive value of aLCJ for ictal EEG activation lateralization was 86.36%. In conclusion, asymmetric last clonic beat is valuable for lateralization of FBTCS and should be considered. Its presence strongly and reliably lateralizes to the side of seizure onset.

A survey of ictal physical examination during VEEG monitoring in a tertiary epilepsy center

BACKGROUND

Ictal examination based on video-based electroencephalography (EEG) is crucial for locating and lateralizing seizures. In this study, we aimed to evaluate the quality of ictal examination in the Comprehensive Epilepsy Center of West China Hospital, Sichuan University, in order to provide information for quality improvement in daily clinical practice.

METHODS

Video recordings of 100 patients with epilepsy were retrospectively reviewed. The performance of the ictal examination was independently reviewed by two epileptologists using an ictal examination protocol.

RESULTS

In this retrospective analysis, 589 seizure episodes from 100 patients with epilepsy were reviewed. The ages of the patients ranged from 3 to 77 years, with a mean age of 25.8 ± 12.8 years. Among the 589 seizure episodes, a majority (93.7%) were focal seizures. For 226 (38.4%) seizures, the medical staff arrived at the bedside. Among them, 153 (153/226, 64.7%) seizure episodes, the medical staff arrival at the bedside within 30 s of onset, and 120 (120/226, 53.1%) seizures were tested by the medical staff. The compliance rates for "safety" and "visibility" reached 80% or higher while "naming", "retelling", and "memory testing" only reach less than 3%.

CONCLUSIONS

Our survey identified the main problems in ictal assessments. It is challenging to complete a standardized examination for new trainees at Epilepsy Monitoring Units. Regularly strengthening training in ictal examination and understanding of semiology may improve patients' examination ability. However, further study of the implementation of training is necessary.

Pearls & Oy-sters: Mesial Temporal Seizures in the Absence of the Mesial Temporal Lobe. Seizure Onset vs Seizure Network

Seizure semiology represents the clinical expression of the activation of the several brain regions comprising an epileptic network. In mesial temporal lobe epilepsy (MTLE), this network includes the insular-opercular-neocortical temporal-hippocampal (IONTH) regions. In this study, we present the case of a patient with pharmacoresistant seizures characterized by nausea, lip-smacking, semipurposeful hand movements, and speechlessness, suggesting dominant hemisphere MTLE, with scalp video-EEG findings and left hippocampal sclerosis on brain MRI confirming the diagnosis. She underwent anterior temporal lobectomy with amygdalohippocampectomy and was seizure-free for 14 years before relapsing. Recurrent seizure semiology was similar to preoperative seizures, that is, consistent with left MTLE, despite the medial temporal lobe missing. Seizures were therefore assumed to arise from remnant portions of the IONTH network-the insula, operculum, and posterolateral temporal neocortex. Reinvestigation including MEG localization of spikes and acute MRI changes following a seizure cluster suggested a left opercular region epilepsy. Our patient thus demonstrated the principle that seizures with mesial temporal characteristics may arise from outside the mesial temporal lobe (MTL). MTLE semiology arises from the activation of a set of structures (the seizure network) associated with the MTL, which can be triggered by foci both within and outside the MTL itself, and indeed even in its absence. However, it is not necessary to resect the entire extended network to bring about extended periods of seizure freedom in patients with refractory MTLE.

Using the hospital anxiety and depression scale in people with epilepsy: Is overlapping symptomatology a problem?

The Hospital Anxiety and Depression Scale (HADS) is designed to screen for anxiety and depression in clinical settings. However, some items on the HADS may reflect symptoms associated with epilepsy and antiseizure medications rather than anxiety and depression. This study examined whether these items on the HADS contributed disproportionately to the reporting of anxiety and depression on the HADS in people with epilepsy (PWE). As part of a routine clinical assessment, 546 adults with epilepsy completed the HADS. In our sample, 56.2% reported elevated levels of anxiety, and 27.3% reported symptoms of depression with a score of 8 or more on the respective subscales. Scores on the anxiety and depression subscales were not associated with age, sex or epilepsy type. We did not find a relationship between endorsement of items related to panic, feelings of dread or butterflies in the stomach and a diagnosis of temporal lobe epilepsy. The most frequently endorsed item on the anxiety subscale of the HADS in the sample as a whole related to worrying thoughts, rather than the more somatic manifestations of anxiety. The item 'I feel as if I am slowed down' was endorsed by the majority of people with epilepsy and may not reflect a symptom of depression in this group. Careful analyses of the pattern of endorsement of specific items on the HADS may improve the sensitivity of this screening measure to the presence of depression in people with epilepsy.

Epileptogenic networks in extra temporal lobe epilepsy

Extra temporal lobe epilepsy (eTLE) may involve heterogenous widespread cerebral networks. We investigated the structural network of an eTLE cohort, at the postulated epileptogenic zone later surgically removed, as a network node: the resection zone (RZ). We hypothesized patients with an abnormal connection to/from the RZ to have proportionally increased abnormalities based on topological proximity to the RZ, in addition to poorer post-operative seizure outcome. Structural and diffusion MRI were collected for 22 eTLE patients pre- and post-surgery, and for 29 healthy controls. The structural connectivity of the RZ prior to surgery, measured via generalized fractional anisotropy (gFA), was compared with healthy controls. Abnormal connections were identified as those with substantially reduced gFA (z < -1.96). For patients with one or more abnormal connections to/from the RZ, connections with closer topological distance to the RZ had higher proportion of abnormalities. The minority of the seizure-free patients (3/11) had one or more abnormal connections, while most non-seizure-free patients (8/11) had abnormal connections to the RZ. Our data suggest that eTLE patients with one or more abnormal structural connections to/from the RZ had more proportional abnormal connections based on topological distance to the RZ and associated with reduced chance of seizure freedom post-surgery.

Functional Neurological Disorder: Diagnostic Pitfalls and Differential Diagnostic Considerations

Functional neurologic disorder (FND) is a "rule-in" diagnosis, characterized by positive examination signs or semiological features. Similar to other clinical diagnoses, providers should ideally see robustly present features, including if possible the identification of multiple features consistent with FND for the diagnosis to be made with a high degree of certainty. Diagnostic pitfalls need to be guarded against and vary depending on FND symptom subtype and the specific patient presentation. This perspective article aims to review pitfalls based on an FND symptom subtype, as well as discuss differential diagnostic considerations with respect to both neurologic and psychiatric entities.

Temporal Lobe Surgery for Epilepsy in a Resource-Limited Vietnamese Cohort

BACKGROUND

Epilepsy surgery is traditionally difficult to pursue in resource-limited countries but is nevertheless essential in the treatment of medication-refractory, surgically amenable epilepsy.

METHODS

With the help of international collaboration, a successful epilepsy program was started in Vietnam. This article comprises a retrospective chart review, combined with prospective longitudinal follow-up of 35 cases of unilateral drug-resistant epilepsy in the temporal lobe who underwent temporal lobectomy, in Viet Duc University Hospital from May 2018 to September 2022.

RESULTS

The female/male ratio was 0.6:1, and focal seizures with impaired awareness accounted for 97.14% of patients. Of patients with focal awareness seizures, 51.41% were localized and detected by electroencephalography. Postoperatively, 80% of patients were seizure free (Engel I) at 1 year, and the remaining 20% had worthwhile seizure improvement (Engel II). Postoperative temporal lobe pathology was categorized as follows: mesial temporal sclerosis (48.57%), focal cortical dysplasia (25.71%), and low-grade neoplasms (25.71%). Of patients, 17.14% had postoperative complications (5 infections and 1 transient extremity paresis), and there were no deaths.

CONCLUSIONS

Even in low-resource environments, effective and safe surgical care can be provided for drug-resistant epilepsy caused by temporal lobe disease. This study serves as a model of international collaboration and support for future hospitals in low-resource environments to replicate.

Association of Dementia Risk With Focal Epilepsy and Modifiable Cardiovascular Risk Factors

Importance

Epilepsy has been associated with cognitive impairment and potentially dementia in older individuals. However, the extent to which epilepsy may increase dementia risk, how this compares with other neurological conditions, and how modifiable cardiovascular risk factors may affect this risk remain unclear.

Objective

To compare the differential risks of subsequent dementia for focal epilepsy compared with stroke and migraine as well as healthy controls, stratified by cardiovascular risk.

Design, Setting, and Participants

This cross-sectional study is based on data from the UK Biobank, a population-based cohort of more than 500 000 participants aged 38 to 72 years who underwent physiological measurements and cognitive testing and provided biological samples at 1 of 22 centers across the United Kingdom. Participants were eligible for this study if they were without dementia at baseline and had clinical data pertaining to a history of focal epilepsy, stroke, or migraine. The baseline assessment was performed from 2006 to 2010, and participants were followed up until 2021.

Exposures

Mutually exclusive groups of participants with epilepsy, stroke, and migraine at baseline assessment and controls (who had none of these conditions). Individuals were divided into low, moderate, or high cardiovascular risk groups based on factors that included waist to hip ratio, history of hypertension, hypercholesterolemia, diabetes, and smoking pack-years.

Main Outcomes and Measures

Incident all-cause dementia; measures of executive function; and brain total hippocampal, gray matter, and white matter hyperintensity volumes.

Results

Of 495 149 participants (225 481 [45.5%] men; mean [SD] age, 57.5 [8.1] years), 3864 had a diagnosis of focal epilepsy only, 6397 had a history of stroke only, and 14 518 had migraine only. Executive function was comparable between participants with epilepsy and stroke and worse than the control and migraine group. Focal epilepsy was associated with a higher risk of developing dementia (hazard ratio [HR], 4.02; 95% CI, 3.45 to 4.68; P < .001), compared with stroke (HR, 2.56; 95% CI, 2.28 to 2.87; P < .001), or migraine (HR, 1.02; 95% CI, 0.85 to 1.21; P = .94). Participants with focal epilepsy and high cardiovascular risk were more than 13 times more likely to develop dementia (HR, 13.66; 95% CI, 10.61 to 17.60; P < .001) compared with controls with low cardiovascular risk. The imaging subsample included 42 353 participants. Focal epilepsy was associated with lower hippocampal volume (mean difference, -0.17; 95% CI, -0.02 to -0.32; t = -2.18; P = .03) and lower total gray matter volume (mean difference, -0.33; 95% CI, -0.18 to -0.48; t = -4.29; P < .001) compared with controls. There was no significant difference in white matter hyperintensity volume (mean difference, 0.10; 95% CI, -0.07 to 0.26; t = 1.14; P = .26).

Conclusions and Relevance

In this study, focal epilepsy was associated with a significant risk of developing dementia, to a greater extent than stroke, which was magnified substantially in individuals with high cardiovascular risk. Further findings suggest that targeting modifiable cardiovascular risk factors may be an effective intervention to reduce dementia risk in individuals with epilepsy.

Neurological update: structural and functional imaging in epilepsy surgery

Structural and functional imaging prior to surgery in drug-resistant focal epilepsy, has an important role to play alongside electroencephalography (EEG) techniques, in planning the surgical approach and predicting post-operative outcome. This paper reviews the role of structural and functional imaging of the brain, namely computed tomography (CT), magnetic resonance imaging (MRI), functional MRI (fMRI), single photon emission computed tomography (SPECT) and positron emission tomography (PET) imaging in the preoperative work-up of people with medically refractory epilepsy. In MRI-negative patients, the precise localisation of the epileptogenic zone may be established by demonstrating hypometabolism on PET imaging or hyperperfusion on SPECT imaging in the area surrounding the seizure focus. These imaging modalities are far less invasive than intracranial EEG, which is the gold standard but requires surgical placement of electrodes or recording grids. Even when intracranial EEG is needed, PET or SPECT imaging can assist in the planning of EEG electrode placement, due to its' limited spatial sampling. Multimodal imaging techniques now allow the multidisciplinary epilepsy surgery team to identify and better characterise focal pathology, determine its' relationship to eloquent areas of the brain and the degree of interconnectedness within both physiological and pathological networks, as well as improve planning and surgical outcomes for patients. This paper will update the reader on this whole field and provide them with a practical guide, to aid them in the selection of appropriate investigations, interpretation of the findings and facilitating patient discussions in individuals with drug-resistant focal epilepsy.

Value of semiology in predicting epileptogenic zone and surgical outcome following frontal lobe epilepsy surgery

OBJECTIVE

To evaluate the ability of semiology alone in localising the epileptogenic zone (EZ) in people with frontal lobe epilepsy (FLE) who underwent resective surgery.

METHODS

We examined data on all individuals who had FLE surgery at our centre between January 01, 2011 and December 31, 2020. Descriptions of ictal semiology were obtained from video-EEG telemetry reports and presurgical multidisciplinary meeting summaries. The putative EZ was represented by the final site of resection. We assessed how well initial and combined set-of-semiologies correlated anatomically with the EZ, using a semiology visualisation tool to generate probabilistic cortical heatmaps of involvement in seizures.

RESULTS

Sixty-one individuals had FLE surgery over the study period. Twelve months following surgery, 28/61 (46%) were completely seizure-free, with a further eight experiencing only auras. Comparing the semiology database with the putative EZ, combined set-of-semiology correctly lateralised in 77% (95% CI: 69-85%), localised to the frontal lobe in 57% (95% CI: 48-67%), frontal lobe subregions in 52% (95% CI: 43-62%), and frontal gyri in 25% (95% CI: 16-33%). No difference in degree of correlation was seen comparing those with ongoing seizures 12 months after surgery to those seizure free.

SIGNIFICANCE

Semiology alone was able to correctly lateralize the putative EZ in 77%, and localise to a sublobar level in approximately half of individuals who had FLE surgery. Semiology is not adequate alone and must be combined with imaging and EEG data to identify the epileptogenic zone.

Data-Driven Network Dynamical Model of Rat Brains During Acute Ictogenesis

Epilepsy is one of the most common neurological disorders worldwide. Recent findings suggest that the brain is a complex system composed of a network of neurons, and seizure is considered an emergent property resulting from its interactions. Based on this perspective, network physiology has emerged as a promising approach to explore how brain areas coordinate, synchronize and integrate their dynamics, both under perfect health and critical illness conditions. Therefore, the objective of this paper is to present an application of (Dynamic) Bayesian Networks (DBN) to model Local Field Potentials (LFP) data on rats induced to epileptic seizures based on the number of arcs found using threshold analytics. Results showed that DBN analysis captured the dynamic nature of brain connectivity across ictogenesis and a significant correlation with neurobiology derived from pioneering studies employing techniques of pharmacological manipulation, lesion, and modern optogenetics. The arcs evaluated under the proposed approach achieved consistent results based on previous literature, in addition to demonstrating robustness regarding functional connectivity analysis. Moreover, it provided fascinating and novel insights, such as discontinuity between forelimb clonus and generalized tonic-clonic seizure (GTCS) dynamics. Thus, DBN coupled with threshold analytics may be an excellent tool for investigating brain circuitry and their dynamical interplay, both in homeostasis and dysfunction conditions.

Evaluation of EEG dynamic connectivity around seizure onset with principal component analysis

Seizures represent a brain activity state charac-terised by extended synchronised firing in multiple regions that prevent normal brain functioning. It is important to develop methods to distinguish between normal and abnormal synchro-nisation in epilepsy, as well as to localise the networks involved in seizures. To this end, we perform a preliminary investigation in the use of principal components analysis (PCA) to assess the change in dynamic electroencephalogram (EEG) connectivity before and after seizure onset. Source estimation was performed for an openly available EEG dataset from 14 patients with epilepsy. By applying PCA onto the EEG data processed into dynamic connectivity (dFC) matrices, we identified a set of connectivity topologies (eigenconnectivities) that explain high levels of variance in the dynamic connectivity. We compare the dimensionality reduction results obtained on source-level vs. scalp-level connectivity. We identified eigenconnectivities with differences in preictal vs. ictal activity and the brain networks associated with these activations. The work illustrates a data-driven approach for identification of topologies of brain networks that change with seizure onset. Clinical relevance We identified networks that are signifi-cantly varying with preictal vs. ictal brain activity some of which verify preexistent epilepsy markers in a data-driven way.

Interictal Discharges: All Roads Lead to Rome?

Human Interictal Epileptiform Discharges Are Bidirectional Traveling Waves Echoing Ictal Discharges

Smith EH, Liou J-Y, Merricks EM, et al. Elife. 2022;11:e73541. Published 2022 Jan 20. doi:10.7554/eLife.73541.

Interictal epileptiform discharges (IEDs), also known as interictal spikes, are large intermittent electrophysiological events observed between seizures in patients with epilepsy. Although they occur far more often than seizures, IEDs are less studied, and their relationship to seizures remains unclear. To better understand this relationship, we examined multi-day recordings of microelectrode arrays implanted in human epilepsy patients, allowing us to precisely observe the spatiotemporal propagation of IEDs, spontaneous seizures, and how they relate. These recordings showed that the majority of IEDs are traveling waves, traversing the same path as ictal discharges during seizures, and with a fixed direction relative to seizure propagation. Moreover, the majority of IEDs, like ictal discharges, were bidirectional, with 1 predominant and a second, less frequent antipodal direction. These results reveal a fundamental spatiotemporal similarity between IEDs and ictal discharges. These results also imply that most IEDs arise in brain tissue outside the site of seizure onset and propagate toward it, indicating that the propagation of IEDs provides useful information for localizing the seizure focus.

Lessons from the video-EEG telemetry unit

Epilepsy is a clinical diagnosis, based primarily on patient and witness histories. Where there is diagnostic uncertainty or when epilepsy surgery is being considered, long-term video-EEG monitoring in a telemetry unit remains the gold standard investigation for diagnostic clarification or presurgical localisation. We present six illustrative cases, highlighting important points that emerged during video-EEG review including potential pitfalls in video-EEG interpretation, and how the investigation helped with diagnosis and subsequent management. The diagnostic process strongly emphasises seizure semiology, more so than EEG.

Multimodal approach leads to seizure-freedom in a case of highly refractory drug-resistant focal epilepsy

Drug-resistant, nonlesional, extratemporal lobe focal epilepsy can be difficult to treat and may require a high degree of multidisciplinary teamwork to localize the seizure onset zone for resective surgery. Here, we describe a patient with longstanding drug-resistant, nonlesional, extratemporal focal epilepsy with a high seizure burden who became seizure-free after prolonged evaluation and eventual left frontal cortical resection. Prior evaluations included magnetoencephalography, invasive video-EEG monitoring, and implantation of a responsive neurostimulation (RNS) device for ongoing intracranial stimulation. Highly sophisticated techniques were utilized including stereotactic localization of prior evaluations to guide repeat stereo-EEG (SEEG), electrical stimulation mapping, SEEG-guided radiofrequency ablation, and awake resection with language and motor mapping using a cognitive testing platform . Incorporating a wide array of data from multiple centers and evaluation time periods was necessary to optimize seizure control and minimize the risk of neurological deficits from surgery.