Unveiling Saudi Physicians' knowledge and attitude toward Psychogenic nonepileptic seizures (PNES): A cross-sectional study.

OBJECTIVES: To assess the knowledge and attitudes of Saudi physicians from different specialties towards Psychogenic Non-Epileptic Seizures (PNES) and identify the challenges faced in managing this condition. METHODS: In November 2023, a questionnaire was distributed online to physicians through official targeted medical specialties societies. In February 2024 the study was closed. The survey was conducted in English, including questions about socio-demographics, knowledge about PNES's clinical presentation, diagnosis, management, respondents' experience, confidence and challenges in handling PNES cases. RESULTS: A total of 222 responses were collected. The overall knowledge score was 34.51 ± 9.67 out of 60, with 64.9 % of participants demonstrating good knowledge (score ≥ 50 %) and 35.1 % showing poor knowledge (score < 50 %). The overall attitude score was 21.65 ± 7.49 out of 40, with 55.4 % of participants demonstrating a favorable attitude towards PNES diagnosis & management (score ≥ 50 %), while 44.6 % displayed an unfavorable attitude (score < 50 %). Neurologists and psychiatrists exhibited higher knowledge and more positive attitudes compared to other specialties. Emergency physicians, internists, and pediatricians showed the lowest scores of knowledge & attitudes. Significant challenges included a lack of knowledge (41.0 %), insufficient diagnostic resources (35.6 %), and poor cross-disciplinary collaboration (36.0 %). SIGNIFICANCE: There is a critical need for improved knowledge about PNES characteristics, management, and training resources to enhance physicians' attitudes toward PNES patients, particularly among specialties that frequently encounter these patients. Addressing the identified gaps can lead to better patient outcomes through timely diagnosis and appropriate treatment referrals.

Management of patients with epilepsy and Intellectual disabilities in group homes vs. Family Homes: Insights into polypharmacy and seizure characteristics.

OBJECTIVES: This study aimed to investigate the differences in ASMs prescription, seizure characteristics and predictors of polypharmacy in patients with epilepsy and Intellectual disabilities (IDs) residing in group homes versus family homes. METHODS: This nine-year retrospective study analyzed patients with epilepsy and IDs who were admitted to the EMU, epilepsy clinics at LHSC and rehabilitation clinics for patients with IDs at Parkwood Institution. The study included individuals aged 16 years and older residing in either group homes or family homes. Data on demographics, epilepsy characteristics, and ASMs use were collected and analyzed using the Statistical Package for Social Sciences. The study utilized binary logistic regression to identify predictors of polypharmacy in patients with epilepsy and IDs. RESULTS: The study enrolled a total of 81 patients, of which 59.3 % resided in family homes. Group home residents were significantly older (41 vs. 24.5 years; p = 0.0001) and were prescribed more ASMs (3 vs. 2; p = 0.002). Specific ASMs were more common in group homes, including valproic acid (54.5 % vs. 25.0 %), lacosamide (54.5 % vs. 22.9 %), topiramate (33.3 % vs. 14.6 %), and phenytoin (30.3 % vs. 6.2 %). Admission to the EMU was more prevalent in group homes (93.9 % vs. 52.1 %; p = 0.0001). Living in a group home increased the risk of polypharmacy (OR = 10.293, p = 0.005), as did older epilepsy onset age (OR = 1.135, p = 0.031) and generalized or focal & generalized epilepsy (OR = 7.153, p = 0.032 and OR = 10.442, p = 0.025, respectively). SIGNIFICANCE: Our study identified notable differences in the demographic and clinical characteristics of patients with epilepsy and IDs living in group homes versus family homes. Age of epilepsy onset, EMU admissions, epilepsy types, and residency setting were significant predictors of polypharmacy. These findings highlight the need for personalized care strategies and increased awareness of the potential risks associated with polypharmacy.

Investigating attention mechanisms for plant disease identification in challenging environments.

There is an increasing demand for efficient and precise plant disease detection methods that can quickly identify disease outbreaks. For this, researchers have developed various machine learning and image processing techniques. However, real-field images present challenges due to complex backgrounds, similarities between different disease symptoms, and the need to detect multiple diseases simultaneously. These obstacles hinder the development of a reliable classification model. The attention mechanisms emerge as a critical factor in enhancing the robustness of classification models by selectively focusing on relevant regions or features within infected regions in an image. This paper provides details about various types of attention mechanisms and explores the utilization of these techniques for the machine learning solutions created by researchers for image segmentation, feature extraction, object detection, and classification for efficient plant disease identification. Experiments are conducted on three models: MobileNetV2, EfficientNetV2, and ShuffleNetV2, to assess the effectiveness of attention modules. For this, Squeeze and Excitation layers, the Convolutional Block Attention Module, and transformer modules have been integrated into these models, and their performance has been evaluated using different metrics. The outcomes show that adding attention modules enhances the original models' functionality.

Psychogenic non-epileptic seizures with and without epilepsy: Exploring the influence of co-existing psychiatric disorders on clinical characteristics and outcomes.

BACKGROUND AND OBJECTIVES: Psychogenic non-epileptic seizures (PNES) are commonly associated with co-existing psychiatric disorders. The relationship between psychiatric factors and PNES episodes with and without epilepsy remains understudied. We reviewed co-existing psychiatric disorders in PNES-only, PNES with epilepsy aiming to examine whether these co-existing disorders associated with PNES clinical presentation and long-term outcomes. METHODS: We conducted a retrospective, longitudinal cohort study of patients with PNES diagnosed at our EMU from May 2000 to April 2008, with follow-up clinical data until September 2015. We categorized patients into three groups: PNES-only, PNES+ definite epilepsy, and PNES+ possible/probable epilepsy. RESULTS: In total, 271 patients with PNES were identified: 194 had PNES-only, 30 had PNES+ possible or probable epilepsy, and 47 had PNES+ definite epilepsy. No significant differences were observed in the prevalence of depression, anxiety, post-traumatic stress disorder (PTSD), substance abuse, or suicidal thoughts among the three groups. Similarly, no differences in co-existing psychiatric disorders characteristics were discovered among patients grouped by various durations and frequencies of PNES episodes. At EMU admission, for PNES-only patients total of 130/194 patients (67%) were on ASMs, and 64/194 (32.9%) were not. PNES-only not on ASM were the most likely to report at least two of the three main psychiatric disorders (depression, anxiety, and PTSD; p = 0.01). At the final follow-up, 68/130 (52.3%) and 92/130 (70.8%) patients were able to discontinue or reduce their ASM intake, respectively, with no significant differences in co-existing psychiatric disorders among them (p < 0.001). Overall, 51.6% or 31.3% of patients reported reduced or resolved PNES episodes, respectively. Further, this reduction and resolution of PNES episode were not affected by any psychological variable. CONCLUSIONS: Co-existing psychiatric disorders prevalence did not differ between patients with PNES-only and those with coexisting epilepsy. Further, co-existing psychiatric disorders characteristics did not reliably predict PNES episode duration, frequency, reduction, or resolution. For patients with PNES-only, the presence of co-existing psychiatric disorders did not predict the rate at which ASMs could be reduced or discontinued.

Clinical Implications of Various Electroencephalographic Patterns in Post-Stroke Seizures. The Utility of Routine Electroencephalogram.

Objective: Post-stroke seizures (PSS) are one of the major stroke-related complications. Early therapeutic interventions are critical therefore using electroencephalography (EEG) as a predictive tool for future recurrence may be helpful. We aimed to assess frequencies of different EEG patterns in patients with PSS and their association with seizure recurrence and functional outcomes. Methods: All patients admitted with PSS were included and underwent interictal EEG recording during their admission and monitored for seizure recurrence for 24 months. Results: PSS was reported in 106 patients. Generalized slow wave activity (GSWA) was the most frequent EEG pattern observed (n = 62, 58.5%), followed by Focal sharp wave discharges (FSWDs) (n = 57, 55.8%), focal slow wave activity (FSWA) (n = 56, 52.8%), periodic discharges (PDs) (n = 13, 12.3%), and ictal epileptiform abnormalities (n = 6, 5.7%). FSWA and ictal EAs were positively associated with seizure recurrence (p < .001 and p = .015 respectively) and it remained significant even after adjusting for age, sex, stroke severity, stroke subtype, or use of anti-seizure medications (ASMs). Other positive associations were status epilepticus (SE) (p = .015), and use of older ASM (p < .001). FSWA and GSWA in EEG were positively associated with severe functional disability (p = .055, p = .015 respectively). Other associations were; Diabetes Mellitus (p = .034), Chronic Kidney Disease (p = .002), use of older ASMs (p = .037), presence of late PSS (p = .021), and those with Ischemic stroke (p = .010). Conclusions: Recognition and documentation of PSS-related EEG characteristics are important, as certain EEG patterns may help to identify the patients who are at risk of developing recurrence or worse functional outcomes.

Utility of Various Activation Procedures in Provoking Ictal and Interictal Patterns, during Routine Electroencephalogram (rEEG) Recording.

BACKGROUND: Activation procedures (APs) are adopted during routine electroencephalography (rEEG) to provoke interictal epileptiform abnormalities (EAs). This study aimed to observe interictal and ictal (EAs) of different EEG patterns, provoked by various APs. METHODOLOGY: This cross-sectional study was performed in the neurology department of King Fahd hospital of university, Saudi Arabia. The EEGs and medical records of patients who presented for EEG recordings were screened initially, then 146 EEGs provoked EAs due to utilization of APs, were included for analysis. RESULTS: Among all EEGs with provoked EAs, Non-rapid eye movement sleep (NREM) provoked EAs in 93 (63.7%) patients with following patterns, focal spike wave discharges (FSWDs) 45 (P= 0.01), focal spike wave discharges with bilateral synchrony (FSWDBS) 27 (P=0.03) and generalized spike wave discharges (GSWDs) 46 (P=0.01). Intermittent photic stimulation (IPS) most significantly provoked FSWDs in 07 patient (P =0.01) and GSWDs in 30 patients (P=<0.001) 7 patients (P = 0.01) and GSWDs in 30 patients (P < 0.001). Hyperventilation (HV) was associated with a higher occurrence of GSWDs in 37 patients (P =0.01). Female sex 7 (P = 0.02), provoked GSWDs 3 (P = 0.03), NREM sleep 8 (P = 0.04), prolonged EEG record 3 (P = 0.02), clinical events during recording 5 (P ≤ 0.01), diagnosis of genetic 05 (P = 0.03), and immune-mediated epilepsies 2 (P = 0.001) were associated with the provocation of ictal EAs; however, in multiple logistic regression analysis, no statistically significant association of these variables (P ≥ 0.05 each) was noted. CONCLUSION: The provocation of EAs in rEEG with different APs varies according to circumstances, including seizure types, epilepsy etiology, and the type of AP applied. These clinical and procedural parameters affect the diagnostic yield of rEEG and need careful consideration during rEEG recordings. APs adopted during rEEG recording can induce FSWDs, FSWDBS, and GSWDs in the form of either interictal or ictal EAs in various etiologies of epilepsy. Ictal EAs may appear in the form of GSWDs, during NREM sleep, in prolonged EEG records; however, their independent association needs to be evaluated in larger sample studies. Further, prospective cohort studies with adequate sample sizes are warranted.

Résumé Contexte:Des procédures d'activation (AP) sont adoptées lors d'une électroencéphalographie de routine (rEEG) pour provoquer des anomalies épileptiformes (EA) intercritiques. Cette étude visait à observer les inter-critiques et critiques (EA) de différents modèles EEG, provoqués par divers PA.Méthodes:Cette étude transversale a été réalisée dans le département de neurologie de l'hôpital universitaire King Fahd de Khobar, en Arabie Saoudite. Les EEG et les dossiers médicaux des patients qui se sont présentés pour des enregistrements EEG ont été initialement examinés, puis 146 EEG avec des EA provoqués lors de l'utilisation des AP ont été inclus pour analyse.Résultats:Parmi tous les EEG avec des AE provoqués, le sommeil à mouvements oculaires non rapides (NREM) a provoqué des EA chez 93 (63,7 %) patients avec les schémas suivants : décharges d'ondes de pointe focales (FSWD) 45 ( P = 0,01), onde de pointe focale avec bilatéral synchronisation (FSWBS) 27 ( P = 0,03) et décharges d'ondes de pointe généralisées (GSWD) 46 ( P = 0,01). La stimulation photique intermittente (IPS) a provoqué de manière plus significative des FSWD chez 07 patients ( P = 0,01) et des GSWD chez 30 patients ( P = < 0,001) 7 patients ( P = 0,01) et des GSWD chez 30 patients ( P < 0,001). L'hyperventilation (HV) était associée à une fréquence plus élevée de GSWD chez 37 patients ( P = 0,01). Sexe féminin 07 ( P = 0,02), GSWD provoqués 03 ( P = 0,03), sommeil NREM 08 ( P = 0,04), enregistrement EEG prolongé 03 ( P = 0,02), événements cliniques lors de l'enregistrement 05 ( P = < 0,01), diagnostic des épilepsies génétiques 05 ( P = 0,03) et des épilepsies à médiation immunitaire 02 ( P = 0,001) étaient associées à la provocation d'EA critiques, cependant, dans l'analyse de régression logistique multiple, aucune association statistiquement significative de ces variables ( P = > 0,05 chacune) était noté.Conclusion:La provocation d'EA dans l'EEGr avec différents AP varie en fonction des circonstances, notamment des types de crises, de l'étiologie de l'épilepsie et du type d'AP appliqué. Ces paramètres cliniques et procéduraux affectent le rendement diagnostique du rEEG et doivent être soigneusement pris en compte lors des enregistrements rEEG. Les AP adoptés lors de l'enregistrement rEEG peuvent induire des FSWD, des FSWBS et des GSWD sous la forme d'EA inter-critiques ou critiques dans diverses étiologies de l'épilepsie. Les EA critiques peuvent apparaître sous forme de GSWD, pendant le sommeil NREM, dans les enregistrements EEG prolongés; cependant, leur association indépendante doit être évaluée dans des études sur un échantillon plus large. De plus, des études de cohortes prospectives avec des échantillons de taille adéquate sont justifiées.

Outcomes and predictors of seizure recurrence in post-stroke epilepsy, a retrospective hospital-based study.

BACKGROUND: The occurrence of seizures following a stroke is a well-recognized complication associated with a significant increase in morbidity and mortality. Despite the numerous studies examining outcomes and risk factors related to post-stroke seizures (PSS), there remains a lack of clarity regarding the clinical characteristics, treatment, and PSS recurrence (PSSR) rates in patients experiencing their initial episode of PSS. PURPOSE: This study aimed to determine the risk factors for developing recurrent seizures after first PSS and their effects on functional outcomes and mortality. METHODS: All patients underwent an electroencephalography (EEG) and were monitored for a minimum of 24 months following the first PSS. The primary endpoint was the recurrence of seizures. Predictive factors for PSSR were determined by using the Cox-proportional hazards model, and the cumulative latency of recurrence at 90, 180, 360, and 720 days was estimated using Kaplan-Meier analysis. RESULTS: Seizure recurred in 36.8% (39/106). Significant association of PSSR was noted with female gender, use of older anti-seizure medications (ASMs) (p<0.001), EEG findings as focal slow wave activity (p<0.001), Ictal epileptiform abnormalities (p=0.015), status epilepticus (p=0.015), and with severe disability (p=0.008). However, multivariate cox-proportional hazards model showed significant association of female gender (HR=3.28; 95% CI: 1.42-7.58; p=0.006). Hazard ratio (HR) was increased with older ASMs use, focal aware seizure types, Ictal EAs, and periodic discharges on EEG; though, statistically significant. CONCLUSION: Factors such as the type of ASMs, EEG findings, and seizure type were significantly linked to PSSR. Female gender was the only independent predictor established. Additionally, significant functional decline was reported with recurrence.

Characteristics and outcomes of large artery occlusion-related stroke due to intracranial atherostenosis: An experience from a single center in Saudi Arabia.

BACKGROUND: Literature on the frequency, response to treatment, and outcomes of acute ischemic stroke (AIS) due to intracranial atherostenosis (ICAS)-related intracranial large artery occlusion (ILAO) from Saudi Arabia is scarce. The aim of this study was to identify the percentage, describe the characteristics, and observe the treatment response in patients with AIS attributed to ICAS-related ILAO. MATERIALS AND METHODS: This cross-sectional study included all adult patients from 2017-2021 who fulfilled the inclusion criteria for the diagnosis of ICAS-related AIS. Patients were dichotomized based on ILAO. Mortality and functional outcomes (FOCs) based on 90 days' dependence level were compared between the two groups. The association between ILAO and other variables was assessed using the Chi-squared test, odds ratios (OR), and 95% confidence interval (CI). RESULTS: ILAO was found in 38.7% of patients with ICAS-related AIS. Men comprised three-fourths of the cohort and were more frequent in the ILAO group. Smoking was associated with increased (P = 0.04) likelihood of ILAO. Patients with ILAO had more severe strokes (P ≤ 0.001) than patients without. Middle cerebral artery was the most common occluded vessel (52%). Functional dependence (P = 0.003, OR = 2.87, CI = 1.42-5.77), malignant transformation (P = 0.001, OR = 8.0, CI = 1.82-35.9), and mortality (P ≤ 0.001, OR = 7.67, CI = 2.40-24.5) were significantly higher among ILAO group. Patients with ILAO with unfavorable FOC were older than those who achieved better FOC (P ≤ 0.001). Thrombolysis (P = 0.02, OR = 2.50, CI = 1.15-5.41) and mechanical thrombectomy (MT) improved FOC in patients with ILAO (P = 0.04, OR = 2.33, CI = 1.10-4.92). CONCLUSION: ILAO is common in patients with ICAS-related AIS. Timely hyperacute stroke treatment can help improve the FOC of otherwise disabling stroke due to ILAO. Raising awareness of the community about stroke is needed, so that a higher number of patients can arrive at hospital within the golden hours. Further data from the region are required to recognize the efficacy of MT in ICAS-related ILAO.

Pearls & Oy-sters: Salt and Pepper Sign, PLNTY for Drug-Resistant Epilepsy.

Drug-resistant epilepsy, defined as the failure of 2 or more antiseizure medications to achieve seizure freedom, is responsible for 2/3 of epilepsy cases. Tumors are responsible for up to 15% of all adult onset and up to 6% of childhood onset epilepsies. Among these tumors, commonly known subtypes DNET, ganglioglioma, and low-grade astrocytoma are often suspected. New advances in tumor classification have been made, with genetics playing a key role in tumor classification. Polymorphic low-grade neuroepithelial tumor of the young (PLNTY) is a highly epileptogenic subtype of tumors that may mimic low-grade gliomas but offer pathologic and genetic clues: oligodendroglioma-like cellular components and infiltration patterns and strong CD34-immunopositive stain. In addition, a key finding is radiologic: a unifocal abnormality best seen on MRI brain in FLAIR sequence as the "salt and pepper sign" and calcifications appreciated on CT head.

Stereo-Encephalographic Presurgical Evaluation of Temporal Lobe Epilepsy: An Evolving Science.

Drug-resistant epilepsy is present in nearly 30% of patients. Resection of the epileptogenic zone has been found to be the most effective in achieving seizure freedom. The study of temporal lobe epilepsy for surgical treatment is extensive and complex. It involves a multidisciplinary team in decision-making with initial non-invasive studies (Phase I), providing 70% of the required information to elaborate a hypothesis and treatment plans. Select cases present more complexity involving bilateral clinical or electrographic manifestations, have contradicting information, or may involve deeper structures as a part of the epileptogenic zone. These cases are discussed by a multidisciplinary team of experts with a hypothesis for invasive methods of study. Subdural electrodes were once the mainstay of invasive presurgical evaluation and in later years most Comprehensive Epilepsy Centers have shifted to intracranial recordings. The intracranial recording follows original concepts since its development by Bancaud and Talairach, but great advances have been made in the field. Stereo-electroencephalography is a growing field of study, treatment, and establishment of seizure pattern complexities. In this comprehensive review, we explore the indications, usefulness, discoveries in interictal and ictal findings, pitfalls, and advances in the science of presurgical stereo-encephalography for temporal lobe epilepsy.