Focal electroclinical features in generalized tonic-clonic seizures: Decision flowchart for a diagnostic challenge.

OBJECTIVE: Bilateral tonic-clonic seizures with focal semiology or focal interictal electroencephalography (EEG) can occur in both focal and generalized epilepsy types, leading to diagnostic errors and inappropriate therapy. We investigated the prevalence and prognostic values of focal features in patients with idiopathic generalized epilepsy (IGE), and we propose a decision flowchart to distinguish between focal and generalized epilepsy in patients with bilateral tonic-clonic seizures and focal EEG or semiology. METHODS: We retrospectively analyzed video-EEG recordings of 101 bilateral tonic-clonic seizures from 60 patients (18 with IGE, 42 with focal epilepsy). Diagnosis and therapeutic response were extracted after ≥1-year follow-up. The decision flowchart was based on previous observations and assessed concordance between interictal and ictal EEG. RESULTS: Focal semiology in IGE was observed in 75% of seizures and 77.8% of patients, most often corresponding to forced head version (66.7%). In patients with multiple seizures, direction of head version was consistent across seizures. Focal interictal epileptiform discharges (IEDs) were observed in 61.1% of patients with IGE, whereas focal ictal EEG onset only occurred in 13% of seizures and 16.7% of patients. However, later during the seizures, a reproducible pattern of 7-Hz lateralized ictal rhythm was observed in 56% of seizures, associated with contralateral head version. We did not find correlation between presence of focal features and therapeutic response in IGE patients. Our decision flowchart distinguished between focal and generalized epilepsy in patients with bilateral tonic-clonic seizures and focal features with an accuracy of 96.6%. SIGNIFICANCE: Focal semiology associated with bilateral tonic-clonic seizures and focal IEDs are common features in patients with IGE, but focal ictal EEG onset is rare. None of these focal findings appears to influence therapeutic response. By assessing the concordance between interictal and ictal EEG findings, one can accurately distinguish between focal and generalized epilepsies.

A case of frontal lobe seizures with 'dancing-like' semiology.

BACKGROUND AND PURPOSE: 'Dancing-like' semiology is extremely rare and described in few case reports. It is characterized by rhythmic, oscillatory movements of the pelvis and/or limbs during which the subject appears to be dancing. It has been associated with both the frontal and temporal epileptic zone; however, the possible network involved in these fascinating seizures is unclear. METHODS: The case of a 45-year-old woman suffering from drug-resistant focal epilepsy with multi-day seizures of bizarre semiology is described. A structural and perfusion magnetic resonance imaging study (interictal and peri-ictal) and video-electroencephalograms were carried out, and several home videos were employed. A vagal stimulator was implanted. RESULTS: Home videos documented the 'dancing' semiology of seizures better than video- electroencephalogram recordings. The imaging study revealed a focal frontal polymicrogyria with a peri-ictal cerebral blood flow increase at the perisylvian lesion foci. The combination of add-on cenobamate and vagal nerve stimulation resulted in complete seizure freedom. CONCLUSION: The unusual and complex dancing-like semiology observed during our patient's seizures adds to the repertoire of fascinating complex motor manifestations of frontal lobe epilepsy.

Retrospective study on neonatal seizures in a tertiary center of northern Italy after ILAE classification: Incidence, seizure type, EEG and etiology.

OBJECTIVE: We aimed to evaluate epidemiology, seizure type, EEG, and etiology of neonatal seizures (NS) in a tertiary neonatal intensive care unit. METHODS: Data on infants with a neurophysiological confirmation of NS were collected between 2009 and 2022. Seizure types and epileptic syndromes were classified by the ILAE classification and EEG by the Italian Neonatal Seizure Collaborative Network (INNESCO) score. RESULTS: Out of 91,253 neonates, 145 presented with NS; 69.7 % were born at term and 30.3 % were preterm infants. The incidence of NS in neonates born at our center was 1.2 per 1,000 live newborns (96/80697 neonates) while in the entire neonatal population admitted to our center it was 1.6 per 1,000 live births, increasing with lower preterm age. Compared to previous studies, we found a lower proportion of hypoxic-ischemic encephalopathy (HIE) (23.4 %) and a higher rate of genetic contribution (26.2 %). The infection rate was higher in preterm (31.8 %) than in full term (9.9 %) infants. Electrographic seizures were associated with acute provoked seizures (35.9 %), preterm age (52.3 %), and HIE (52.9 %). Vascular etiology was associated with focal clonic seizures (56.8 %). Non-structural neonatal genetic epilepsy was associated with sequential seizures (68.2 %), particularly KCNQ2 and SCN2A epilepsy. Background EEG was abnormal in all HIE, infections (85.7 %) and metabolic NS (83.3 %). In genetic epilepsy, background EEG depended on the epileptic syndrome: normal in 80 % of self-limited neonatal epilepsy and abnormal in 77.8 % of developmental and epileptic encephalopathy. Electroclinical seizures were associated with focal onset, while electrographic seizures correlated with a multifocal onset. CONCLUSIONS: A low incidence of HIE and a high incidence of genetic etiology were observed in our cohort of NS. Seizure type and EEG features are fundamental to address etiology.

Deep learning approaches for seizure video analysis: A review.

Seizure events can manifest as transient disruptions in the control of movements which may be organized in distinct behavioral sequences, accompanied or not by other observable features such as altered facial expressions. The analysis of these clinical signs, referred to as semiology, is subject to observer variations when specialists evaluate video-recorded events in the clinical setting. To enhance the accuracy and consistency of evaluations, computer-aided video analysis of seizures has emerged as a natural avenue. In the field of medical applications, deep learning and computer vision approaches have driven substantial advancements. Historically, these approaches have been used for disease detection, classification, and prediction using diagnostic data; however, there has been limited exploration of their application in evaluating video-based motion detection in the clinical epileptology setting. While vision-based technologies do not aim to replace clinical expertise, they can significantly contribute to medical decision-making and patient care by providing quantitative evidence and decision support. Behavior monitoring tools offer several advantages such as providing objective information, detecting challenging-to-observe events, reducing documentation efforts, and extending assessment capabilities to areas with limited expertise. The main applications of these could be (1) improved seizure detection methods; (2) refined semiology analysis for predicting seizure type and cerebral localization. In this paper, we detail the foundation technologies used in vision-based systems in the analysis of seizure videos, highlighting their success in semiology detection and analysis, focusing on work published in the last 7 years. We systematically present these methods and indicate how the adoption of deep learning for the analysis of video recordings of seizures could be approached. Additionally, we illustrate how existing technologies can be interconnected through an integrated system for video-based semiology analysis. Each module can be customized and improved by adapting more accurate and robust deep learning approaches as these evolve. Finally, we discuss challenges and research directions for future studies.

[Non-epileptic psychogenic seizures]. / Les crises non épileptiques psychogènes.

Psychogenic non-epileptic seizures resemble epileptic seizures but their pathophysiological mechanisms differ. Despite being quite frequent, they are often misunderstood, regularly leading to a misdiagnosis and therapeutic errors. The objective of this article is to provide a short review of the current knowledge about this pathology. We will detail the main epidemiological data of psychogenic non-epileptic seizures. We will then discuss the diagnostic approach, emphasizing the semiological differences that exist between psychogenic non-epileptic seizures and epileptic seizures. Then, we will detail the main therapeutic actions and discuss the importance of communication between clinicians, the patient and his/her family. Finally, we will discuss the long-term prognosis of this pathology, which remains quite poor.

Les crises non épileptiques psychogènes ressemblent à des crises d'épilepsie, mais leurs mécanismes physiopathologiques diffèrent. Elles sont fréquentes, mais souvent méconnues, menant régulièrement à des erreurs diagnostiques et thérapeutiques. L'objectif de cet article est de dresser une synthèse des connaissances actuelles de cette pathologie. Nous y détaillerons les principales données épidémiologiques des crises non épileptiques psychogènes. Nous aborderons ensuite la démarche diagnostique en insistant sur les différences sémiologiques qui existent entre les crises non épileptiques psychogènes et les crises épileptiques. Nous présenterons ensuite les principales actions thérapeutiques existantes et parlerons de l'importance de la communication entre les cliniciens, le patient et son entourage. Enfin, nous discuterons du pronostic à long terme de cette pathologie, qui reste assez péjoratif.

[Prospective controlled study evaluating teleconsultation and tele-semiology for the management of renal colic]. / Étude prospective contrôlée évaluant la téléconsultation et la télé-sémiologie pour la prise en charge d'une colique néphrétique.

INTRODUCTION: Physical examination appears to be a limiting factor of teleconsultation (TC). We evaluated the feasibility of self-percussion of the lumbar fossae (sPLF) and TC for simple renal colic (SRC) in comparison with a face-to-face consultation (FC). MATERIAL AND METHODS: We performed a comparative prospective study in two steps. First: evaluation of the quality of an sPLF on a standardized patient in TC, without and with tutorial. Secondarily: evaluation of a TC and a FC for a SRC with a standardized patient in real conditions. Evaluation using objective clinical scores and qualitative scales by an observer, the standardized patient and the practitioner himself. RESULTS: Forty-two practitioners were included in the study. In the absence of a tutorial, the sPLF was most often "poorly done". The tutorial led to a significant improvement in the quality of sPLF. There was no difference in diagnostic and therapeutic performance among senior physicians between TC and FC. The therapeutic performances of the interns were significantly lower in TC without his being aware of it. The qualitative scores were significantly lower in TC vs FC according to the practitioners, the standardized patient and the observer. CONCLUSION: An sPLF is feasible but its practice should be taught. Unlike interns, senior physicians were able to perform a TC comparable to FC for the management of SRC. TC and telesemiology therefore require dedicated training and an experienced practitioner.

Clinical and imaging features of nonmotor onset seizure in poststroke epilepsy.

OBJECTIVE: Motivated by the challenges raised by diagnosing poststroke epilepsy (PSE), especially in nonmotor onset seizure (non-MOS), we aimed to investigate the features of non-MOS, including seizure sequences, patient characteristics, and electrophysiological and imaging findings in PSE. METHODS: This observational cohort study enrolled patients with PSE whose seizure onset was witnessed. According to the International League Against Epilepsy (ILAE) 2017 seizure classification, we classified seizure-onset symptoms into the non-MOS and MOS groups. We compared the different clinical characteristics between the two groups. RESULTS: Between 2011 and 2018, we enrolled 225 patients with PSE (median age, 75 years), consisting of 97 (43%) with non-MOS and 128 (57%) with MOS. Overall, 65 (67%) of the patients without MOS had no subsequent convulsions. Multivariable logistic regression analysis showed significant associations of non-MOS with absence of poststroke hemiparesis (adjusted odds ratio [OR], 1.88; 95% confidence interval [CI], 1.03-3.42), frontal stroke lobe lesions (OR, 2.11; 95% CI, 1.14-3.91), and putaminal stroke lesions (OR, 2.51; 95% CI, 1.22-5.18) as negative indicators. Postictal single-photon emission computed tomography (SPECT) detected prolonged hyperperfusion in the temporal lobe more frequently in the non-MOS than in the MOS group (48% vs 31%; p = .02). The detection rate was higher than spikes/sharp waves in scalp electroencephalography, both in the non-MOS group (72% vs 33%; p < .001) and the MOS group (68% vs 29%; p < .001). SIGNIFICANCE: This study provides the clinical features of non-MOS in patients with PSE. Compared with the patients with MOS, patients with non-MOS showed less likely subsequent convulsive seizures, highlighting the clinical challenges. Postictal perfusion imaging and negative indicators of the non-MOS type may help diagnose and stratify PSE.

Methodology for classification and definition of epilepsy syndromes with list of syndromes: Report of the ILAE Task Force on Nosology and Definitions.

Epilepsy syndromes have been recognized for >50 years, as distinct electroclinical phenotypes with therapeutic and prognostic implications. Nonetheless, no formally accepted International League Against Epilepsy (ILAE) classification of epilepsy syndromes has existed. The ILAE Task Force on Nosology and Definitions was established to reach consensus regarding which entities fulfilled criteria for an epilepsy syndrome and to provide definitions for each syndrome. We defined an epilepsy syndrome as "a characteristic cluster of clinical and electroencephalographic features, often supported by specific etiological findings (structural, genetic, metabolic, immune, and infectious)." The diagnosis of a syndrome in an individual with epilepsy frequently carries prognostic and treatment implications. Syndromes often have age-dependent presentations and a range of specific comorbidities. This paper describes the guiding principles and process for syndrome identification in both children and adults, and the template of clinical data included for each syndrome. We divided syndromes into typical age at onset, and further characterized them based on seizure and epilepsy types and association with developmental and/or epileptic encephalopathy or progressive neurological deterioration. Definitions for each specific syndrome are contained within the corresponding position papers.

Anticipatory anxiety of seizures is associated with ictal emotional distress and amygdala onset seizures.

OBJECTIVE: Anxiety disorders are a frequent psychiatric condition in patients with epilepsy. Anticipatory anxiety of seizures (AAS) is described as a daily persistent fear or excessive worry of having a seizure. AAS seems to be related to "subjective ictal anxiety" reported by patients. The current study aimed to assess the association between objective ictal features and the presence of AAS. METHODS: Ninety-one patients with drug-resistant focal epilepsy underwent a standardized psychiatric assessment, specific for epilepsy, and presurgical long-term video-electroencephalography (EEG) or stereo-EEG (SEEG). We compared seizure semiology and epilepsy features of patients with AAS (n = 41) to those of patients without AAS (n = 50). We analyzed emotional and motor behavior ictal signs as well as ictal consciousness. We further assessed amygdala ictal involvement in seizures recorded with SEEG (n = 28). RESULTS: AAS was significantly associated with the presence of ictal emotional distress; negative emotional behavior (p < .01) and negative emotion were explicitly reported to the examiner during recording (p = .015), regardless of the ictal level of consciousness. Among the patients recorded with SEEG, we found a significant involvement of amygdala within the seizure onset zone (p < .01) for patients with AAS. SIGNIFICANCE: Higher risk of developing AAS is associated with seizures expressing negative emotional symptoms, independently of ictal consciousness level. Persistent interictal fear of seizures might be viewed as the consequence of a reinforcement of the emotional networks secondary to amygdala involvement in seizures of temporal origin. Physicians should screen for AAS not only to assess the impact of epilepsy on daily life, but also as an interictal biomarker of ictal semiology and emotional network involvement at seizure onset.

Seizure semiology, localization, and the 2017 ILAE seizure classification.

In the study of epilepsy, the term semiology is used to comprise the clinical characteristics of a seizure, both subjective symptoms and objective phenomena. It is produced by activation of the symptomagenic zone, and an accurate and comprehensive understanding of the localizing value of seizure semiology is crucial for presurgical evaluation and planning. Myriad publications in epilepsy journals detail correlations between various semiological features and activation of specific cortical regions. Traditionally these studies involved scalp EEG recorded in epilepsy monitoring units. The increasing use of invasive monitoring, and specifically the use of depth electrodes and stereo-electroencephalography, has advanced our understanding of the characteristics of seizures arising from ictal foci deep to the scalp, including the cingulate, insula and operculum. However, the distinction between seizure onset and symptomogenic zones is not always clear. In 2017 the International League Against Epilepsy (ILAE) published an operational classification of seizure types based heavily on seizure semiology. The current paper provides an updated review of the current body of knowledge relating to seizure semiology, incorporating both scalp EEG studies and more recent stereo-electroencephalography discoveries in the framework of the 2017 ILAE classification.