Lipid metabolites and nitric oxide production in the cerebrospinal fluid and plasma of dogs with meningoencephalitis of unknown origin and idiopathic epilepsy: a pilot study.

Introduction: Idiopathic epilepsy (IE) and meningoencephalomyelitis of unknown origin (MUO) are common causes of brain diseases leading to seizures in dogs. In this study, the concentrations of 196 lipid metabolites and nitrogen oxide (NO) production in the cerebrospinal fluid (CSF) and plasma of dogs with MUO or IE were measured using a LC-MS/MS and a NOx analyzer, respectively. Methods: Nine clinically healthy dogs and 11 and 12 dogs with IE and MUO, respectively, were included in the study. Results: Lipid analysis revealed variations in the levels of four and six lipid metabolites in CSF and plasma, respectively, between the groups. The levels of 6-keto-prostaglandin (PG) F1α (PGF1α), 20-carboxy arachidonic acid (20-carboxy-AA), 9-hydroxyoctadecadienoic acid, and lyso-platelet-activating factor were high in the CSF of dogs with MUO. In addition, the plasma levels of 11,12-dihydroxyeicosatrienoic acid, 20-carboxy-AA, and oleoylethanolamide were high in dogs with IE, and those of PGF1α were high in dogs with MUO. NO production levels were high in CSF but not in plasma in dogs with MUO or IE. Discussion: It remains unknown whether these changes represent the cause or effect of diseases of the central nervous system; however, lipid metabolites and NO production in CSF and plasma may be used as diagnostic biomarkers and could be exploited for treating idiopathic or inflammatory epilepsy in dogs.

Neurocognitive performance in functional neurological disorder: A systematic review and meta-analysis.

BACKGROUND AND PURPOSE: Cognitive complaints are common in functional neurological disorder (FND), but it is unclear whether objective neurocognitive deficits are present. This systematic review summarized validated/standardized cognitive test performance in FND samples across cognitive domains. METHODS: Embase, PsycInfo and MEDLINE were searched from inception to 15 May 2023, combining terms for FND and cognitive domains (e.g., attention, memory, executive functioning). Studies included a range of FND phenotypes (seizures, motor, cognitive disorder, mixed), compared to healthy or clinical controls. Risk of bias was assessed with the modified Newcastle-Ottawa Scale and a qualitative synthesis/narrative review of cognitive performance in FND was conducted. Test performance scores were extracted, and random effects meta-analyses were run where appropriate. This review was registered on PROSPERO, CRD42023423139. RESULTS: Fifty-six studies including 2260 individuals with FND were eligible. Although evidence for some impairments emerged across domains of executive functioning, attention, memory and psychomotor/processing speed, this was inconsistent across studies and FND phenotypes. Common confounds included group differences in demographics, medication and intellectual functioning. Only 24% of studies objectively assessed performance validity. Meta-analyses revealed higher scores on tests of naming (g = 0.67, 95% confidence interval [CI] 0.50, 0.84) and long-term memory (g = 0.43, 95% CI 0.13, 0.74) in functional seizures versus epilepsy, but no significant differences in working (g = -0.08, 95% CI -0.44, 0.29) or immediate (g = 0.25, 95% CI -0.02, 0.53) memory and cognitive flexibility (g = -0.01, 95% CI -0.29, 0.28). CONCLUSIONS: There is mixed evidence for objective cognitive deficits in FND. Future research should control for confounds, include tests of performance validity, and assess relationships between objective and subjective neurocognitive functioning.

A case with temporal spikes on electroencephalography induced by over 80 sessions of electroconvulsive therapy.

Background: Electroconvulsive therapy (ECT) is widely recognized as one of the most effective treatments for various psychiatric disorders and is generally considered safe. However, a few reports have mentioned that multiple ECT sessions could induce electroencephalography (EEG) abnormalities and epileptic seizures, a serious side effect of ECT. We experienced a case with EEG abnormalities after multiple ECT sessions and aimed to share our insights on conducting ECT safely. Case Presentation: We present the case of a 73-year-old female diagnosed with major depressive disorder. She underwent regular ECT sessions to alleviate her psychiatric symptoms. However, after more than 80 sessions, previously undetected EEG abnormalities were observed. Since the patient did not have clinical seizures, we were able to continue ECT at longer intervals without the use of antiepileptic drugs. Conclusion: Our case suggests the importance of routine EEG testing in patients undergoing prolonged ECT. While careful monitoring is necessary, continuing ECT without antiepileptic medication in patients with EEG abnormalities could be permissible.

Emergency management of pediatric epileptic seizures in non-hospital settings in Japan.

OBJECTIVE: To assess the current management of pediatric epileptic seizures in non-hospital settings and the efficacy of early therapeutic intervention with rescue medication in Japan. METHODS: This descriptive cross-sectional study was based on an online survey of caregivers of pediatric patients with epilepsy. The survey consisted of questions regarding seizure frequency and symptoms, the use of rescue medication, and emergency medical care. Statistical analyses were performed to evaluate the association between the time to rescue medication administration and seizure resolution. RESULTS: Responses were obtained from 1147 caregivers of pediatric patients with epilepsy. Of the patients described in the study, 98.5 % had been prescribed anti-seizure medication, 95.3 % had more than a few seizures per year, and 90.3 % used rescue medication. The time to seizure resolution was significantly reduced when rescue medication was administered early. Overall, 28.4 % of the patients required emergency transport to hospital, which increased disruption to the lives of caregivers, who returned to their normal activities after an average of 17.2 h. CONCLUSION: Emergency transport of patients places a significant burden on caregivers. Earlier administration of rescue medications is associated with a reduction in the need for emergency room visits, which reduces the burden on the patient as well as the caregiver.

Natural History and Predictors for Hemorrhage in Supratentorial Brain Arteriovenous Malformations.

Background/Objectives: Approximately half of the patients harboring supratentorial brain arterio-venous malformations (stAVMs) present with hemorrhage, and another considerable proportion suffer from epileptic seizures. An important milestone in the management of this vascular pathology is acknowledging their natural history, especially across long periods of time. The aim of this study was to assess the predictive factors for hemorrhage and for epileptic seizures as presenting symptoms in stAVMs. Methods: We retrospectively analyzed patients with stAVMs admitted to our institution between 2012 and 2022 and evaluated predictive factors for hemorrhage and the risk factors associated with epileptic seizures. Results: The cohort included 169 patients, 78 of them (46.2%) presenting with intracerebral hemorrhage (ICH). Seventy-seven (45.5%) patients suffered from epileptic seizures. The annual hemorrhagic rate was 1.28%/year. Unruptured lesions (p = 0.001, OR 3.1, 95% CI 1.6-6.2), superficial venous drainage (p = 0.007, OR 2.7, 95% CI 1.3-5.7) and large nidus size (p = 0.025, OR 4, 95% CI 1.2-13.5) were independently associated with seizures. Among unruptured lesions, superficial venous drainage (OR 2.6, p = 0.036, 95% CI 1.06-6.3) and frontal/temporal/parietal location (OR 2.7, p = 0.040, 95 CI% 1.04-6.9) significantly increased the risk of seizures as a presenting symptom in multivariate analysis. Patients younger than 18 (p = 0.003, OR 4.5, 95% CI 1.6-12.2), those with AVMs < 3 cm (p = 0.03, OR 2, 95% CI 1.07-3.9) or those with deep located AVMs (p = 0.035, OR 2.3, 95% CI 1.06-5.1) presented statistically more often with ICH in multivariate regression. Small size (HR 1.8, 95% CI 1.09-3, p = 0.022) and exclusively deep venous drainage (HR 2.2, 95% CI 1.2-4, p = 0.009) were independent predictors for ICH, in time-dependent birth-to-diagnosis analysis. After shifting the birth-to-diagnosis curve by 10 years, unique arterial feeder demonstrated a positive correlation with ICH presentation as well. Conclusions: Small AVMs, those with exclusively deep venous drainage, unique arterial feeder or deep location may pose higher hemorrhagic risks for the patient, and therapeutic strategies should be tailored accordingly. When managing unruptured brain AVMs, it is important to consider the risk of developing seizures, in addition to the lifelong risk of hemorrhage, in determining the optimal treatment approach for each patient.

Dissimilar Changes in Serum Cortisol after Epileptic and Psychogenic Non-Epileptic Seizures: A Promising Biomarker in the Differential Diagnosis of Paroxysmal Events?

The hypothalamic-pituitary-adrenal axis is known to be involved in the pathogenesis of epilepsy and psychiatric disorders. Epileptic seizures (ESs) and psychogenic non-epileptic seizures (PNESs) are frequently differentially misdiagnosed. This study aimed to evaluate changes in serum cortisol and prolactin levels after ESs and PNESs as possible differential diagnostic biomarkers. Patients over 18 years with ESs (n = 29) and PNESs with motor manifestations (n = 45), captured on video-EEG monitoring, were included. Serum cortisol and prolactin levels as well as hemograms were assessed in blood samples taken at admission, during the first hour after the seizure, and after 6, 12, and 24 h. Cortisol and prolactine response were evident in the ES group (but not the PNES group) as an acute significant increase within the first hour after seizure. The occurrence of seizures in patients with ESs and PNESs demonstrated different circadian patterns. ROC analysis confirmed the accuracy of discrimination between paroxysmal events based on cortisol response: the AUC equals 0.865, with a prediction accuracy at the cutoff point of 376.5 nmol/L 0.811 (sensitivity 86.7%, specificity 72.4%). Thus, assessments of acute serum cortisol response to a paroxysmal event may be regarded as a simple, fast, and minimally invasive laboratory test contributing to differential diagnosis of ESs and PNESs.

Medical and psychiatric comorbidities, somatic and cognitive symptoms, injuries and medical procedure history in patients with functional seizures from a public and a private hospital.

PURPOSE: Patients with functional seizures (FS), otherwise known as psychogenic non-epileptic seizures (PNES), from different socioeconomic backgrounds may differ, however, this remains a gap in current literature. Comorbidities can play both a precipitating and a perpetuating role in FS and are important in the planning of individual treatment for this condition. With this study, we aimed to describe and compare the reported medical and psychiatric comorbidities, injuries, somatic and cognitive symptoms, and medical procedures among patients with FS from a private and a public epilepsy monitoring unit (EMU) in Cape Town, South Africa. METHODS: This is a retrospective case-control study. We collected data on the comorbidity and medical procedure histories, as well as symptoms and clinical signs reported by patients with video-electroencephalographically (video-EEG) confirmed FS without comorbid epilepsy. We used digital patient records starting with the earliest available digital record for each hospital until the year 2022. RESULTS: A total of 305 patients from a private hospital and 67 patients from a public hospital were included in the study (N = 372). Public hospital patients had higher odds of reporting intellectual disability (aOR=15.58, 95% CI [1.80, 134.95]), circulatory system disease (aOR=2.63, 95% CI [1.02, 6.78]) and gait disturbance (aOR=8.52, 95% CI [1.96, 37.08]) compared to patients with FS attending the private hospital. They did, however, have fewer odds of reporting a history of an infectious or parasitic disease (aOR=0.31, 95% CI [0.11, 0.87]), respiratory system disease (aOR=0.23, 95% CI [0.06, 0.82]), or medical procedures in the past (aOR=0.32, 95% CI [0.16, 0.63]). CONCLUSION: The study presents prevalence and comparative data on the medical profiles of patients with FS from different socioeconomic backgrounds which may inform future considerations in FS diagnosis and treatment.

Psychoeducation interventions for people with non-epileptic seizures: A scoping review.

BACKGROUND: Cognitive behavioural therapy (CBT) and other psychological approaches have a growing evidence base for treating Non-Epileptic Seizures (NES). However, communication about the diagnosis can be difficult for clinicians and is not always well received. It is thought that Psychoeducation about NES may improve engagement with treatment such as CBT and may contribute to reductions in the frequency of seizures and improvements in health related quality of life. However, psychoeducational components of treatment are often not evaluated in isolation meaning the specific benefit to patients is not currently well understood. AIMS: The researchers aimed to examine the outcomes associated with psychoeducational interventions and the content of these programmes for NES. METHOD: A scoping review was undertaken across four databases with seventeen eligible studies identified which were charted to analyse the data. RESULTS: Findings revealed that components and modalities of interventions varied as did methods of evaluating the interventions. A number of different outcome measures were used and not all studies reported the significance of findings. Results across studies were inconsistent; however, there was a general trend across the studies of symptom reduction and improvement in mental health. CONCLUSIONS: Findings illustrate that psychoeducation has potential benefits as an intervention in its own right. However, it may be best placed as a second step in a stepped care model, between initial diagnosis and further psychological treatment. The present literature needs replication and more robust studies for more certain conclusions to be drawn.

[Hospital frequency of non-epileptic psychogenic seizures in Bamako]. / Fréquence hospitalière des crises non épileptiques psychogènes à Bamako.

Diagnosing a non-epileptic seizure is difficult in the absence of a video electroencephalogram. The expert commission of the international league against epilepsy proposes a diagnostic approach allowing the diagnosis to be made according to a degree of certainty with or in the absence of a video electroencephalogram. Our objective was to determine the hospital frequency of psychogenic non-epileptic seizures in the absence of video-electroencephalogram. Using the outpatient registry, we identified patients followed for epilepsy with two normal interictal electroencephalographies, between January 2020 and October 2021. A review of the patients' medical records and an assessment of the validity of the diagnosis were carried out. Out of 64 patients evaluated with normal interictal electroencephalogram, 19 were included as suffering from psychogenic non-epileptic seizures, i.e. 26.68%. The average age was 23.94 +/- 9.4 years. Women represented 68.4%. Patients followed in neurology represented 84%. A history of childhood trauma was found in (47.4%). The first crisis was preceded by stressful events in 47.36%. Post-traumatic stress disorder was the most represented with 73.7% of cases. The average age was 20.95 +/- 9.8 years for the first crisis and the average duration of evolution of the crises was 3 years +/- 2 years. This study illustrates the possibility of making a presumptive diagnosis of psychogenic non-epileptic seizure in the absence of video-electroencephalogram.

Case report: Naturally occurring neurogenic stunned myocardium in a dog secondary to status epilepticus.

A 4-year-old male neutered Boston Terrier was presented with status epilepticus. He was diagnosed with idiopathic epilepsy and hospitalized with supportive care. During hospitalization, the patient developed both supraventricular and ventricular arrhythmias as well as focal left ventricular dyskinesis. Cardiac troponin I was significantly increased, which was supportive of myocardial damage. Neurogenic stunned myocardium was suspected, and the patient was treated and responded to esmolol. Follow-up echocardiography demonstrated the resolution of the ventricular dyskinesia. This report describes the clinical presentation, diagnostic findings, treatment, management, and outcome of the first reported case of naturally occurring neurogenic stunned myocardium in a dog. Electrocardiogram monitoring, cardiac troponin I, and echocardiography should be considered in patients presenting with seizure activity, especially when exhibiting cluster seizures or in status epilepticus.

A comparison of patients with epileptic seizures (ES) versus those with psychogenic non-epileptic seizures (PNES) on measures of alexithymia, mood, and anxiety.

OBJECTIVE: To compare persons with epilepsy (PWE) to those with psychogenic non-epileptic seizures (PNES) on measures of depression, anxiety, and alexithymia subscales (i.e., difficulty identifying emotions, difficulty describing emotions, and external-oriented thinking). MATERIAL AND METHODS: In this retrospective study, 235 epilepsy patients and 90 patients with PNES were evaluated between 2012 and 2020 at the Northeast Regional Epilepsy Group. These patients had completed the Toronto Alexithymia Scale (TAS-20), The Center for Epidemiologic Studies - Depression Scale (CES-D) and The State-Trait Anxiety Inventory (STAI). Background information was collected regarding work/student/disability status at the time of the evaluation history of psychiatric diagnosis; psychological trauma; and involvement in psychotherapy either at the time of the evaluation or prior. RESULTS: Significant differences between PWEs and those with PNES were found not only in historical data (e.g., Psychiatric History, History of Trauma, and History of Therapy) (p < .001) but also on measures of Depression (p = .002) and Anxiety (p < .001). ANOVA analysis also revealed significant differences in the distribution of the TAS-Total score, TAS-Describing emotions, and TAS-Identifying emotions. Using logistic regression (stepwise model) the optimal set of predictors for a differential diagnosis of epilepsy and PNES was combination of TAS-Identifying emotions score, history of psychological trauma, and history of therapy. The accuracy of the prediction was determined to be 80.2 %. CONCLUSIONS: Although higher alexithymia rates are present in PNES and PWEs, clinicians may find a combination of TAS-Identifying Emotion score, history of trauma, and history of psychotherapy useful in supporting a differential diagnosis. Also, a subgroup may exist among those with PNES with high levels of alexithymia, depression, and anxiety that may require a different treatment approach focused on addressing difficulties in identifying and describing their emotions and their other symptomatology.

Spontaneous Remission of Epileptic Seizures Following Norovirus Infection in a Patient With DNM1 Encephalopathy.

Epileptic seizures can be worsened by infections; however, they sometimes disappear or decrease after an acute viral infection, although this is rare. We report the spontaneous remission of epileptic seizures following norovirus-induced viral gastroenteritis in a boy with DNM1 encephalopathy. He had clonic seizures daily from the age of two months and developed epileptic spasms at 14 months of age; he was admitted to the hospital at this time. A physical examination revealed hypotonia, strabismus, tongue protrusion with drooping, and widely spaced teeth. Although brain magnetic resonance imaging was unremarkable, electroencephalography revealed frequent occipital spikes. Three days after admission, the patient developed frequent diarrhea without a fever. A rapid immunochromatographic test of norovirus in a stool sample was positive. Immediately after the appearance of diarrhea, the epileptic seizures disappeared. Currently, at the age of five years, the patient has a profound psychomotor developmental delay; he has no verbal expression and is unable to walk. He has experienced involuntary movements of the myoclonus since 10 months of age. Whole-exome sequencing of the patient's DNA revealed the presence of a heterozygous de novo variant of DNM1: c.709C>T (p.Arg237Trp). Although the findings from our patient suggest that underlying neural network abnormalities were ameliorated by immunological mechanisms as a result of the viral infection, further research is needed to clarify the mechanisms behind this spontaneous remission of seizures.

A meta-analytic evaluation of the effectiveness and durability of psychotherapy for adults presenting with functional dissociative seizures.

BACKGROUND: Psychological interventions are the most recommended treatment for functional/dissociative seizures (FDS); however, there is ongoing uncertainty about their effectiveness on seizure outcomes. METHODS: This systematic review and meta-analysis synthesises the available data. In February 2023, we completed a systematic search of four electronic databases. We described the range of seizure-related outcomes captured, used meta-analytic methods to analyse data collected during treatment and follow-up; and explored sources of heterogeneity between outcomes. RESULTS: Overall, 44 relevant studies were identified involving 1,300 patients. Most were categorised as being at high (39.5 %) or medium (41.9 %) risk of bias. Seizure frequency was examined in all but one study; seizure intensity, severity or bothersomeness in ten; and seizure duration and cluster in one study each. Meta-analyses could be performed on seizure freedom and seizure reduction. A pooled estimate for seizure freedom at the end of treatment was 40 %, while for follow-up it was 36 %. Pooled rates for ≥50 % improvement in seizure frequency were 66 % and 75 %. None of the included moderator variables for seizure freedom were significant. At the group level, seizure frequency improved during the treatment phase with a moderate pooled effect size (d = 0.53). FDS frequency reduced by a median of 6.5 seizures per month. There was also evidence of improvement of the other (non-frequency) seizure-related measures with psychological therapy, but data were insufficient for meta-analysis. CONCLUSIONS: The findings of this study complement a previous meta-analysis describing psychological treatment-associated improvements in non-seizure-related outcomes. Further research on the most appropriate FDS-severity measure is needed.

Safranal alleviates pentetrazole-induced epileptic seizures in mice by inhibiting the NF-κB signaling pathway and mitochondrial-dependent apoptosis through GSK-3ß inactivation.

ETHNOPHARMACOLOGICAL RELEVANCE: Saffron, a traditional Chinese medicine, is derived from Crocus sativus L. stigmas and has been reported to possess neuroprotective properties and potentially contribute to the inhibition of apoptosis and inflammation. Safranal, a potent monothyral aldehyde, is a main component of saffron that has been reported to have antiepileptic activity. However, the specific mechanism by which safranal suppresses epileptic seizures via its antiapoptotic and anti-inflammatory properties is unclear. AIM: To evaluate the effect of safranal on seizure severity, inflammation, and postictal neuronal apoptosis in a mouse model of pentetrazole (PTZ)-induced seizures and explore the underlying mechanism involved. MATERIALS AND METHODS: The seizure stage and latency of stage 2 and 4 were quantified to assess the efficacy of safranal in mitigating PTZ-induced epileptic seizures in mice. Electroencephalography (EEG) was employed to monitor epileptiform afterdischarges in each experimental group. The cognitive abilities and motor functions of the mice were evaluated using the novel object recognition test and the open field test, respectively. Neurons were quantified using hematoxylin and eosin staining. Additionally, bioinformatics tools were utilized to predict the interactions between safranal and specific target proteins. Glycogen synthase kinase-3ß (GSK-3ß), mitochondrial apoptosis-related proteins, and inflammatory factor levels were analyzed through western blotting. Tumor necrosis factor-α (TNF-α) and interleukin-1ß (IL-1ß) concentrations in brain tissue were assessed by ELISA. RESULTS: Safranal decreased the average seizure stage and increased the lantency of stage 2 and 4 seizures in PTZ-induced epileptic mice. Additionally, safranal exhibited neuroprotective effects on hippocampal CA1 and CA3 neurons and reduced hyperactivity caused by postictal hyperexcitability. Bioinformatics analysis revealed that safranal can bind to five specific proteins, including GSK-3ß. By promoting Ser9 phosphorylation and inhibiting GSK-3ß activity, safranal effectively suppressed the NF-κB signaling pathway. Moreover, the findings indicate that safranal treatment can decrease TNF-α and IL-1ß levels in the cerebral tissues of epileptic mice and downregulate mitochondrial apoptosis-related proteins, including Bcl-2, Bax, Bak, Caspase 9, and Caspase 3. CONCLUSION: Safranal can suppress the NF-κB signaling pathway and mitochondrial-dependent apoptosis through GSK-3ß inactivation, suggesting that it is a promising therapeutic agent for epilepsy treatment.

Cataplexy Mistaken for Seizures in a Patient With Undiagnosed Narcolepsy Type I.

Narcolepsy Type 1 is a sleep disorder, with cataplexy as its cardinal feature, characterized by sudden decrease or loss of muscle tone triggered by strong emotions. Cataplexy can be misdiagnosed as epileptic seizures given its clinical similarity to atonic seizures. The low prevalence of the disease added another layer of complexity in providing timely and accurate diagnosis. We report a case of a young man with recurrent episodes of falling and an inability to respond, initially misinterpreted as epileptic seizures due to findings in routine electroencephalography (EEG). Anti-seizure medications were ineffective, and subsequent ambulatory EEG revealed no epileptic activity during events. A detailed history uncovered symptoms of cataplexy and daytime sleepiness, leading to the correct diagnosis of narcolepsy type I confirmed by polysomnogram (PSG) and mean sleep latency test (MSLT). Discontinuation of anti-seizure medications and treatment with venlafaxine successfully resolved cataplexy. The case highlights the importance of a thorough clinical history in distinguishing cataplexy from seizures, as well as the caution against relying solely on EEG findings for epilepsy diagnosis. Ambulatory EEG can help exclude epileptic events, and PSG with MSLT are necessary to confirm narcolepsy type I.

New-onset psychogenic nonepileptic seizures after intracranial neurosurgery: A meta-analysis.

BACKGROUND: The epidemiology of psychogenic non-epileptic seizures (PNES) is still unclear. Although approximately 14 million people need neurosurgical care annually, there is a dearth of thorough analysis on PNES occurrence following surgery. This study seeks to estimate the proportion of newly diagnosed PNES. METHODS: We conducted a literature search of the PubMed, Ovid, CINAHL, and Cochrane Library databases up to December 2023. We identified studies using an observational design on the occurrence of PNES in patients who underwent intracranial surgery, and confirmed diagnosis using video-EEG. Estimates are reported as proportions using random effects models. We reported both 95 % CIs and prediction intervals (PI). We assessed the risk of bias and identified the pooled odds ratio (OR) for mutually exclusive groups. The heterogeneity was investigated using the I² statistic and significance determined using Cochran's Q-test. Post-hoc Egger's regression test, and several sensitivity analyses were performed. This study was registered in PROSPERO (CRD42023488611). RESULTS: Of the 1766 unique studies identified, 86 were selected for full-text review. Eight studies (n = 3,699) were eligible for inclusion. Studies, spanning from 1995 to 2017, primarily focused on epilepsy surgeries. The pooled proportion was 3 % (95 % CI 2 %-5 %; 95 % PI 0 %-11 %). Temporal resections indicated twofold increase of PNES comparing to either resections (OR 2.05, 95 %CI 0.81-5.19). The risk of bias assessment indicated satisfactory quality for included studies, and heterogeneity in estimates was mainly explained by publication year of studies and their rounded sample size. CONCLUSIONS: Given the estimations, there is expected impact of intracranial procedures on functional seizures epidemiology. Further efforts need to understand the contribution of brain resections to PNES incidence.

The Association of Epileptic Seizures after Acute Ischemic Stroke with Cerebral Cortical Involvement and Electroencephalographic Changes.

Background and objectives: while acute ischemic stroke is the leading cause of epilepsy in the elderly population, data about its risk factors have been conflicting. Therefore, the aim of our study is to determine the association of early and late epileptic seizures after acute ischemic stroke with cerebral cortical involvement and electroencephalographic changes. Materials and methods: a prospective cohort study in the Hospital of the Lithuanian University of Health Sciences Kaunas Clinics Department of Neurology was conducted and enrolled 376 acute ischemic stroke patients. Data about the demographical, clinical, radiological, and encephalographic changes was gathered. Patients were followed for 1 year after stroke and assessed for late ES. Results: the incidence of ES was 4.5%, the incidence of early ES was 2.7% and the incidence of late ES was 2.4%. The occurrence of early ES increased the probability of developing late ES. There was no association between acute cerebral cortical damage and the occurrence of ES, including both early and late ES. However, interictal epileptiform discharges were associated with the occurrence of ES, including both early and late ES.

Exploring psychedelic-assisted therapy in the treatment of functional seizures: A review of underlying mechanisms and associated brain networks.

Functional seizures (FS), the most common subtype of functional neurological disorder (FND), cause serious neurological disability and significantly impact quality of life. Characterized by episodic disturbances of functioning that resemble epileptic seizures, FS coincide with multiple comorbidities and are treated poorly by existing approaches. Novel treatment approaches are sorely needed. Notably, mounting evidence supports the safety and efficacy of psychedelic-assisted therapy (PAT) for several psychiatric conditions, motivating investigations into whether this efficacy also extends to neurological disorders. Here, we synthesize past empirical findings and frameworks to construct a biopsychosocial mechanistic argument for the potential of PAT as a treatment for FS. In doing so, we highlight FS as a well-defined cohort to further understand the large-scale neural mechanisms underpinning PAT. Our synthesis is guided by a complexity science perspective which we contend can afford unique mechanistic insight into both FS and PAT, as well as help bridge these two domains. We also leverage this perspective to propose a novel analytic roadmap to identify markers of FS diagnostic specificity and treatment success. This endeavor continues the effort to bridge clinical neurology with psychedelic medicine and helps pave the way for a new field of psychedelic neurology.

Attention-based deep convolutional neural network for classification of generalized and focal epileptic seizures.

Epilepsy affects over 50 million people globally. Electroencephalography is critical for epilepsy diagnosis, but manual seizure classification is time-consuming and requires extensive expertise. This paper presents an automated multi-class seizure classification model using EEG signals from the Temple University Hospital Seizure Corpus ver. 1.5.2. 11 features including time-based correlation, time-based eigenvalues, power spectral density, frequency-based correlation, frequency-based eigenvalues, sample entropy, spectral entropy, logarithmic sum, standard deviation, absolute mean, and ratio of Daubechies D4 wavelet transformed coefficients were extracted from 10-second sliding windows across channels. The model combines multi-head self-attention mechanism with a deep convolutional neural network (CNN) to classify seven subtypes of generalized and focal epileptic seizures. The model achieved 0.921 weighted accuracy and 0.902 weighted F1 score in classifying focal onset non-motor, generalized onset non-motor, simple partial, complex partial, absence, tonic, and tonic-clonic seizures. In comparison, a CNN model without multi-head attention achieved 0.767 weighted accuracy. Ablation studies were conducted to validate the importance of transformer encoders and attention. The promising classification results demonstrate the potential of deep learning for handling EEG complexity and improving epilepsy diagnosis. This seizure classification model could enable timely interventions when translated into clinical practice.