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Epilepsy affects people of all ages and sexes. The aim of the current narrative review was to summarize the sex differences in patients with epilepsy. In January 2024, we systematically searched PubMed for relevant articles. The following keywords were used: “Epilepsy” or “Seizure” and “Sex”. The prevalence and symptomatology of many neurological conditions, including epilepsy syndromes, may differ between male and female patients. The reasons behind these sex differences are not yet clear. It is likely that sex hormones, neurosteroid, and sex chromosome gene differences play roles in the development of this phenomenon. The existence of sex differences in epilepsy is well recognized, but there is little discussion of their mechanisms and therapeutic implications. Future research should investigate the exact roles of sex hormones, neurosteroid, and genes in the development of sex differences in epilepsy. Similarly, future studies should investigate whether sex differences exist in seizure characteristics (e.g., seizure frequency, semiology, response to treatment, outcome) in different syndromes. These issues may have important clinical implications for designing appropriate sex-specific treatment strategies for various syndromes and conditions. Furthermore, sex should be considered as a biological variable in basic and clinical research.

Background: Long COVID syndrome (LCS) is characterized by chronic symptoms of fatigue, cough, etc. after contracting COVID-19. This study aimed to identify the longevity of the symptoms of adults who reported suffering from LCS in our previous study which was conducted in 2021. The study population included patients who were referred to healthcare facilities (55 centers) in Fars province, Iran. Materials and Methods: This longitudinal retrospective and follow-up cohort study was conducted on adult patients who were hospitalized with COVID-19. We inquired about their current health status and obtained the information after they consented to participate and answer questions over the phone. Results: In total, 2383 people participated in the study, 543 of whom (27.3%) reported experiencing symptoms of LCS. Fatigue (12.2%) and exercise intolerance (10%) were the two most common symptoms of persistent LCS. On the other hand, 240 people (12.1%) who did not report any symptoms of LCS in phase 1 of the study reported experiencing problems that are compatible with the diagnosis of LCS. Patients with persistent LCS (long-LCS) had longer hospital stays during their initial illness (7 days vs. 5 days) and were more frequently admitted to ICUs (15.8% vs. 8.9%) compared with those without long-LCS. Conclusion: More than one-quarter of adults will continue to suffer from the symptoms of long-COVID for more than one year after their initial infection. The scientific community should develop validated measures and biomarkers to objectively diagnose and follow up this condition.

Abstract Objectives We hypothesized that the frequency (in Hertz) of generalized spike–waves (GSWs) in patients with idiopathic generalized epilepsy (IGE) has associations with the syndromic diagnosis as well as with the prognosis of patients (their response to medical treatment). Methods This was a retrospective study of a prospectively developed database. All patients with a diagnosis of IGE were studied at the epilepsy center at Shiraz University of Medical Sciences, Shiraz, Iran, from 2008 until 2022. Patients were classified into four IGE syndromes: childhood absence epilepsy; juvenile absence epilepsy; juvenile myoclonic epilepsy; and generalized tonic–clonic seizures alone. Results Five hundred and eighty‐three patients were studied. GSWs were commonly observed in all four syndromes of IGE. Frequency of GSW (in Hertz) did not have a significant association with the syndromic diagnosis of the patients (p = .179). The presence of GSW did not have a significant association with the seizure outcome (becoming seizure free or not) of the patients (p = .416). Frequency of GSW did not have a significant association with the seizure outcome of the patients either (p = .574). Conclusion GSWs are the hallmark electroencephalographic footprints of idiopathic generalized epilepsies; however, neither their presence nor their frequency has practical associations with the syndromic diagnosis of IGEs or their outcome (response to treatment).

Abstract Antiseizure medications (ASMs) constitute the principal of treatment for patients with epilepsy, where long‐term treatment is usually necessary. The purpose of this systematic review is to provide practical and useful information regarding various aspects of the interactions between ASMs and foods and drinks. MEDLINE and ScienceDirect, from the inception to July 15, 2023, were searched for related publications. In both electronic databases, the following search strategy was applied, and the following keywords were used (in title/abstract): “food OR drink” AND “antiepileptic OR antiseizure.” The primary search yielded 738 studies. After implementing our inclusion and exclusion criteria, we could identify 19 studies on the issue of interest for our endeavor. Four studies were identified in the recheck process and not by the primary search. All studies provided low level of evidence. Interactions between foods and ASMs are a common phenomenon. Many factors may play a role for such an interaction to come to play; these include drug properties, administration route, and administration schedule, among others. Drugs‐foods (‐drinks) interactions may change the drug exposure or plasma levels of drugs (e.g., grapefruit juice increases carbamazepine concentrations and the bioavailability of cannabidiol is increased 4–5 folds with concomitant intake of fat‐rich food); this may require dosage adjustments. Interactions between ASMs and foods and drinks may be important. This should be taken seriously into consideration when consulting patients and their caregivers about ASMs. Future well‐designed investigations should explore the specific interactions between foods (and drinks) and ASMs to clarify whether they are clinically important. Plain Language Summary Interactions between antiseizure medications and foods and drinks may be important. This should be taken into consideration in patients with epilepsy.

Objectives:Several studies have explored the opinions of healthcare workers on the use of complementary and alternative medicine (CAM) in epilepsy treatment. We sought to survey the views of non-neurologist and non-psychiatrist physicians in Oman on the use of CAM for epilepsy. Methods: We used convenience sampling to recruit physicians (except neurologists and psychiatrists) from all 11 governorates of Oman. The online questionnaire was open to physicians from 5 January 2022 to 15 February 2023. This study collected anonymous data on their demographics, discipline, work settings, geographical area, and years of practice. Additionally, participants were asked to answer questions about their perception of CAM use and its effectiveness in treating epilepsy. Results: A total of 190 physicians participated, of whom 69.5% were men. Respondents were mostly 36 to 45 years old (51.1%). The majority (52.1%) were general practitioners, 21.1% were internists, 17.9% were pediatricians, and 8.9% were family physicians. Most participants (n = 144; 75.8%) believed that CAM may help treat patients with epilepsy (PWE). The most common therapies that participants considered helpful were meditation (46.0%), prayers (44.7%), yoga (32.6%), and exercise (31.1%). Conclusions: While the evidence supporting the use of CAM for the treatment of epilepsy is scarce, this survey showed that most physicians (non-neurologists and non-psychiatrists), who manage PWE in Oman, believed that some CAM modalities would help treat epilepsy. Well-designed controlled trials are needed to provide reliable evidence on the usefulness of CAM options in PWE.

Abstract Objective The purpose of the current endeavor was to evaluate the feasibility of using easily accessible and applicable clinical information (based on history taking and physical examination) in order to make a reliable differentiation between idiopathic generalized epilepsy (IGE) versus focal epilepsy using machine learning (ML) methods. Methods The first phase of the study was a retrospective study of a prospectively developed and maintained database. All patients with an electro‐clinical diagnosis of IGE or focal epilepsy, at the outpatient epilepsy clinic at Shiraz University of Medical Sciences, Shiraz, Iran, from 2008 until 2022, were included. The first author selected a set of clinical features. Using the stratified random portioning method, the dataset was divided into the train (70%) and test (30%) subsets. Different types of classifiers were assessed and the final classification was made based on their best results using the stacking method. Results A total number of 1445 patients were studied; 964 with focal epilepsy and 481 with IGE. The stacking classifier led to better results than the base classifiers in general. This algorithm has the following characteristics: precision: 0.81, sensitivity: 0.81, and specificity: 0.77. Significance We developed a pragmatic algorithm aimed at facilitating epilepsy classification for individuals whose epilepsy begins at age 10 years and older. Also, in order to enable and facilitate future external validation studies by other peers and professionals, the developed and trained ML model was implemented and published via an online web‐based application that is freely available at http://www.epiclass.ir/f‐ige.

Abstract Objective We investigated the association between the glucocorticoid receptor (GR) gene, also known as the nuclear receptor subfamily 3, group C, member 1 (NR3C1), rs41423247 polymorphism, and functional seizures (psychogenic nonepileptic seizures/attacks) in a case–control study. We hypothesized that the tested polymorphism has significant associations with functional seizures (psychogenic nonepileptic seizures/attacks) independent from comorbid depression. Methods Seventy patients with functional seizures (psychogenic nonepileptic seizures/attacks), 70 with major depressive disorder (MDD), and 70 healthy controls (HCs) were studied. Their DNAs were analyzed for NR3C1 rs41423247 polymorphism. Results Genotype and allele frequencies of rs41423247 were different between the three groups. G allele carriers were more frequent in patients with functional seizures (psychogenic nonepileptic seizures/attacks) and those with MDD compared to HCs (p = 0.0001). However no significant difference was observed with respect to allele distributions between functional seizures (psychogenic nonepileptic seizures/attacks) and MDD groups (p = 0.391). CC genotype was less often associated with functional seizures (psychogenic nonepileptic seizures/attacks) versus HC: Codominant model; p = 0.001, OR = 0.11, 95% CI = 0.05–0.24, and −2loglilkelihood = 231.7. In comparison between functional seizures (psychogenic nonepileptic seizures/attacks) group and other (MDD + HC) groups, we observed a significant association between CG genotype and functional seizures (psychogenic nonepileptic seizures/attacks) (Codominant model; p = 0.001, OR = 5.63, 95% CI = 2.60–12.40 and −2loglikelihood = 245.99). Significance Patients with functional seizures (psychogenic nonepileptic seizures/attacks) and those with MDD were significantly more often G allele carriers in rs41423247 compared with HCs. We observed a significant association between CG genotype and functional seizures (psychogenic nonepileptic seizures/attacks). However, we could not exclude the possibility of confounding effects of depression. Future genetic studies of patients with functional seizures (psychogenic nonepileptic seizures/attacks) should include a comparison group with depression in addition to a comparison group of HCs.

Abstract Objective We aimed to explore the underlying pathomechanisms of the comorbidity between three common systemic autoimmune disorders (SADs) [i.e., insulin‐dependent diabetes mellitus (IDDM), systemic lupus erythematosus (SLE), and rheumatoid arthritis (RA)] and temporal lobe epilepsy (TLE), using bioinformatics tools. We hypothesized that there are shared genetic variations among these four conditions. Methods Different databases (DisGeNET, Harmonizome, and Enrichr) were searched to find TLE‐associated genes with variants; their single nucleotide polymorphisms (SNPs) were gathered from the literature. We also did a separate literature search using PubMed with the following keywords for original articles: “TLE” or “Temporal lobe epilepsy” AND “genetic variation,” “single nucleotide polymorphism,” “SNP,” or “genetic polymorphism.” In the next step, the SNPs associated with TLE were searched in the LitVar database to find the shared gene variations with RA, SLE, and IDDM. Results Ninety unique SNPs were identified to be associated with TLE. LitVar search identified two SNPs that were shared between TLE and all three SADs (i.e., IDDM, SLE, and RA). The first SNP was rs16944 on the Interleukin‐1β (IL‐1β) gene. The second genetic variation was ε4 variation of apolipoprotein E (APOE) gene. Significance The shared genetic variations (i.e., rs16944 on the IL‐1β gene and ε4 variation of the APOE gene) may explain the underlying pathomechanisms of the comorbidity between three common SADs (i.e., IDDM, SLE, and RA) and TLE. Exploring such shared genetic variations may help find targeted therapies for patients with TLE, especially those with drug‐resistant seizures who also have comorbid SADs.

Abstract Objective We investigated the associations between FKBP5 single‐nucleotide polymorphisms (SNPs) and functional seizures (FS). Methods Seventy patients with FS, 140 with major depressive disorder (MDD), and 140 healthy controls were studied. Their DNAs were analyzed for the rs1360780 in the 3′ region and rs9470080 in the 5′ region of the FKBP5. Childhood trauma questionnaire and hospital anxiety and depression scale were used. Results Patients with FS and those with MDD had less GG and more AA genotypes in both rs9470080 and rs1360780 SNPs compared with those in healthy controls. Similar results were observed for allelic frequencies. There were no significant differences between FS and MDD groups in terms of genotype and allelic frequencies for both SNPs. The results of multinomial logistic regression analysis showed that FKBP5 polymorphisms were not associated with the diagnosis. Significance Patients with FS and those with MDD had significantly different genotypes in both rs9470080 and rs1360780 SNPs compared with those in healthy controls. However, it seems that FKBP5 polymorphisms were not associated with FS in the absence of depression. Further genetic investigations of patients with FS may increase our understanding of the neurobiological underpinnings of this condition, but such studies should be large enough and very well designed; they should include a comparison group with depression in addition to a healthy control group.

Abstract Objective We searched for, from the FDA (Food and Drug Administration‐USA)‐approved drugs, inhibitors of FKBP5 with tolerable adverse effect profiles (eg, mild headache, sedation, etc.) and with the ability to cross the blood brain barrier (BBB), using bio‐informatics tools (in‐silico). This may pave the road for designing clinical trials of such drugs in patients with functional seizures (FS) and other stress‐associated disorders. Methods Several databases were used to find all the approved drugs that potentially have interactions with FKBP51 protein [ie, CTD gene‐chemical interaction section of FKBP51 protein of Harmonizome of Mayaanlab, DrugCenteral database, PDID (Protein Drug Interaction Database), DGIdb (the Drug Gene Interaction database)]. Other databases were also searched [eg, clinicaltrials.gov; DRUGBANK (the FASTA format of the FKBP51 protein was imported to the target sequencing section of the database to find the associated drugs), and the STITCH database (to find the related chemical interaction molecules)]. Results After a comprehensive search of the designated databases, 28 unique and approved drugs were identified. Fluticasone propionate and Mifepristone and Ponatinib, Mirtazapine, Clozapine, Enzalutamide, Sertraline, Prednisolone, Fluoxetine, Dexamethasone, Clomipramine, Duloxetine, Citalopram, Chlorpromazine, Nefazodone, and Escitalopram are inhibitors of FKBP5 and have BBB permeability. Significance While the current in‐silico repurposing study could identify potential drugs (that are already approved and are widely available) for designing clinical trials in patients with stress‐associated disorders (eg, FS), any future clinical trial should consider the pharmacological profile of the desired drug and also the characteristics and comorbidities of the patients in order to foster a success.

Abstract Understanding the precise mechanistic details of the possible binding and transport of antiseizure medications (ASMs) through the P-glycoprotein (P-gp) efflux pump is essential to find strategies for the treatment of patients with epilepsy resistant to ASMs. In the present work, conventional molecular dynamics, binding free energy calculations, steered molecular dynamics and umbrella sampling were applied to study the interactions of levetiracetam and brivaracetam with P-gp and their possible egress path from the binding site. Comparative results for the control drugs, zosuquidar and verapamil, confirmed their established P-gp inhibitory activity. Brivaracetam, a non-substrate of P-gp, demonstrated stronger static and dynamic interactions with the exporter protein, than levetiracetam. The potential of mean force calculations indicated that the energy barriers through the ligand export were the lowest for levetiracetam, suggesting the drug as a P-gp substrate with facile passage through the transporter channel. Our findings also stressed the contribution of nonpolar interactions with P-gp channel lining as well as with membrane lipid molecules to hamper the ASM efflux by the transmembrane exporter. Appropriate structural engineering of the ASMs is thus recommended to address drug-resistant epilepsy.

Abstract Purpose To investigate whether radiologically apparent brain magnetic resonance imaging (MRI) abnormalities are associated with the functional seizure (FS) semiology. Methods All patients with a diagnosis of FS at the epilepsy centers at Shiraz University of Medical Sciences, Iran; Aichi Medical University Hospital, Japan; University of Michigan, USA; University of California, Los Angeles, USA; Emory University School of Medicine, USA; and Hospital el Cruce, Argentina, were studied. Results One hundred patients were included; 77 (77%) had motor functional seizures. Lobar location of brain abnormality did not have an association with the semiology (p = .83). There was no significant difference between ictal behaviors in patients with frontal or parietal lesions compared to those with temporal or occipital lesions. Conclusion There were no associations between functional seizure ictal behaviors and locations of the radiologically apparent brain MRI abnormalities. Further studies are needed to evaluate the underpinnings of varying behaviors in FS.

Purpose: Functional seizures (FS) cause significant long-term disability and clinicians offer differing views on proper work restrictions and qualifications for disability benefits in this population. We assess the views and perspectives of experienced disability and work limitations in people living with functional seizures. Methods: Between (4/29/2020–1/13/2021) an open-access 21-item internet survey was conducted via FNDHope.org; allowing for people living with self-reported functional seizures to remark on topics of work difficulties, work restrictions, qualifications for disability benefits, and driving. Demographic information was collected, and univariate and multivariate logistic regressions were used to evaluate potential predictors of current employment status. Results: One hundred eighteen (118) responses were received, of which 92 (84.4%) completed > 50% of the survey; they were predominantly (92%) female. Most respondents (88%) reported some personal difficulty at work and nearly all (99%) believed that others with FS would experience difficulties in the workplace. A majority (71%) felt that work restrictions should apply to people living with active FS, at least in certain lines of work. Most (64%) felt people with FS should qualify for disability benefits; however, 35% stated work accommodations or a new job compatible with FS was more appropriate. Of those who felt people with FS should qualify for disability, 60% thought recipients should remain eligible for disability while symptomatic and 38% felt benefits should be lifelong. In univariate and multivariate logistic regressions, older age was predictive of unemployment (univariate OR 0.95 ± 0.02, 95% CI 0.92–0.98, p-value 0.002). Conclusion: Our results suggest that work difficulties are common in people with FS, with older age being a predictor of unemployment. A majority of people with FS support work restrictions for those with their disorder, at least in some lines of work. In comparison to a prior study of clinicians, a higher percentage of people with FS supported work restrictions. These results may help facilitate productive discussions between people with FS, providers, and policymakers regarding appropriate work and disability limitations.

Abstract Objectives This International League Against Epilepsy (ILAE) Report: (a) summarizes the literature about “driving and psychogenic nonepileptic seizures (PNES)”; (b) presents the views of international experts; and (c) proposes an approach to assessing the ability of persons with PNES (PwPNES) to drive. Methods Phase 1: Systematic literature review. Phase 2: Collection of international expert opinion using SurveyMonkey®. Experts included the members of the ILAE PNES Task Force and individuals with relevant publications since 2000. Phase 3: Joint analysis of the findings and refinement of conclusions by all participants using email. As an ILAE Report, the resulting text was reviewed by the Psychiatry Commission, the ILAE Task Force on Driving Guidelines, and Executive Committee. Results Eight studies identified by the systematic review process failed to provide a firm evidence base for PNES‐related driving regulations, but suggest that most health professionals think restrictions are appropriate. Twenty‐six experts responded to the survey. Most held the view that decisions about driving privileges should consider individual patient and PNES characteristics and take account of whether permits are sought for private or commercial driving. Most felt that those with active PNES should not be allowed to drive unless certain criteria were met and that PNES should be thought of as “active” if the last psychogenic seizure had occurred within 6 months. Significance Recommendations on whether PwPNES can drive should be made at the individual patient level. Until future research has determined the risk of accidents in PwPNES a proposed algorithm may guide decisions about driving advice.

(1) Background: Epilepsy is one of the most common chronic neurological disorders in childhood. Complementary and alternative medicine (CAM) use is highly prevalent in patients with epilepsy. Despite CAM’s widespread and increasing popularity, its prevalence, forms, perceived benefits, and potential risks in pediatric epilepsy are rarely explored. (2) Methods: We performed a scoping review of the available literature on the use of CAM in pediatric epilepsy. (3) Results: Overall, global cross-sectional studies showed a variable degree of CAM usage among children with epilepsy, ranging from 13 to 44% in prevalence. Popular types of CAMs reported were supplements, cannabis products, aromatherapy, herbal remedies, dietary therapy, massage therapy, and prayer. Families often report that CAM is effective, although there are limited objective measures of this. Potential risks lie in the use of CAM, such as herbal remedies, and/or unregulated, contaminated, or unpurified products. Studies also underscored inadequate patient–physician discussions regarding CAM. (4) Conclusions: A better understanding of this topic would aid clinicians in guiding patients/families on the use of CAM. Further studies on the efficacy of the different types of CAM used, as well as potential side effects and drug interactions are needed.

Abstract Purpose We investigated the rate of employment in patients with functional seizures (FS) in a follow‐up study. We also investigated the rate of receiving disability benefits in these patients. Finally, we investigated factors that are potentially associated with their employment status. Methods In this long‐term study, all patients with FS, who were diagnosed at Shiraz Comprehensive Epilepsy Center, Iran, from 2008 to 2018, were investigated. In a phone call interview to the patients in February 2020, we tried to obtain the following information: seizure outcome, employment status, receiving disability benefits, and their current drug regimen, if any. The first call was made in the evening and after working hours. In case of no response, we made two more attempts in the following weeks to contact the patients during different time periods of the day. Results Eighty‐ four patients participated. Thirty‐one patients (37%) were employed, and 53 people (63%) were not; at the first visit, the rate of employment was 23%. Female sex (Odds Ratio [OR]: 12.18; 95% Confidence Interval [CI]: 3.51–42.18; p = .0001), taking psychiatric drugs (OR: 4.93; 95% CI: 1.17–20.73; p = .02), and being employed previously (OR: 0.19; 95% CI: 0.04–0.77; p = .02) were independently significantly associated with the current employment status. Three patients (4%) reported receiving disability social benefits, two women and one man. Conclusion This study highlights that unemployment is a serious issue in patients with FS and psychiatric comorbidities play a significant role in the employment status in these patients.

Functional neurological disorder (FND) was of great interest to early clinical neuroscience leaders. During the 20th century, neurology and psychiatry grew apart – leaving FND a borderland condition. Fortunately, a renaissance has occurred in the last two decades, fostered by increased recognition that FND is prevalent and diagnosed using “rule-in” examination signs. The parallel use of scientific tools to bridge brain structure - function relationships has helped refine an integrated biopsychosocial framework through which to conceptualize FND. In particular, a growing number of quality neuroimaging studies using a variety of methodologies have shed light on the emerging pathophysiology of FND. This renewed scientific interest has occurred in parallel with enhanced interdisciplinary collaborations, as illustrated by new care models combining psychological and physical therapies and the creation of a new multidisciplinary FND society supporting knowledge dissemination in the field. Within this context, this article summarizes the output of the first International FND Neuroimaging Workgroup meeting, held virtually, on June 17th, 2020 to appraise the state of neuroimaging research in the field and to catalyze large-scale collaborations. We first briefly summarize neural circuit models of FND, and then detail the research approaches used to date in FND within core content areas: cohort characterization; control group considerations; task-based functional neuroimaging; resting-state networks; structural neuroimaging; biomarkers of symptom severity and risk of illness; and predictors of treatment response and prognosis. Lastly, we outline a neuroimaging-focused research agenda to elucidate the pathophysiology of FND and aid the development of novel biologically and psychologically-informed treatments.

Functional seizures (FS) are frequently encountered in neurology clinics, often affect young adults, and have significant negative impacts on many aspects of a person’s life. In the current narrative review, we searched the literature regarding some of the consequences of FS (i.e., psychiatric comorbidities, social consequences, costs that are associated with the condition, cognitive impairment in patients with FS, the quality of life of the people with FS, and the increased risk of mortality that is associated with FS). Evidence shows that FS have significant negative consequences, comparable in their magnitude to those affecting patients with epilepsy. The clinical and scientific communities should take steps to address these consequences through clinical care and research that prioritizes, facilitates, and expedites evidence-based diagnosis and treatment for FS.

The aim of the current study was to assess the extent to which complementary and alternative medicine (CAM) has been used in children and adults to treat seizures and to compare the perceptions and usage of CAM between adult patients who decides for themselves and adults who decide for their sick children.In this cross-sectional study, patients who have been treated for epilepsy for at least one year at the outpatient epilepsy clinic at the Shiraz University of Medical Sciences were interviewed from January 2012 through March 2012. The questionnaire collected specific information of CAM perceptions and usage among patients. Pearson Chi-Square and Student's t-test were used to compare variables among children group with adults group. Ninety-eight children (their caregivers) and 158 adults (themselves) participated. Adult patients (53%) more frequently believed that CAM might be useful in treating seizures than adults with sick kids (35%) (P = 0.0004). Herbal drugs, traditional medicine and exercise were more often considered as being helpful in treating seizures among adult patients compared to adults with sick children. CAM usage was not different among adult patients compared to adults with sick kids (P = 0.3). CAM is an option considered by many people with epilepsy to treat seizures. The individual who makes the decision as to use any of these unconventional treatment options is probably not different when it comes to self (the patient himself) vs. non-self (the parents/care-givers), despite the observed difference that adult patients more frequently believed that CAM might be useful in treating seizures than adults with sick kids.

Background: Recently, people have recognized the post-acute phase symptoms of the COVID-19. We investigated the long-term symptoms associated with COVID-19, (Long COVID Syndrome), and the risk factors associated with it. Methods: This was a retrospective observational study. All the consecutive adult patients referred to the healthcare facilities anywhere in Fars province from 19 February 2020 until 20 November 2020 were included. All the patients had a confirmed COVID-19 diagnosis. In a phone call to the patients, at least three months after their discharge from the hospital, we obtained their current information. The IBM SPSS Statistics (version 25.0) was used. Pearson Chi square, Fisher’s exact test, t test, and binary logistic regression analysis model were employed. A P value of less than 0.05 was considered to be significant. Results: In total, 4,681 patients were studied, 2915 of whom (62.3%) reported symptoms. The most common symptoms of long COVID syndrome were fatigue, exercise intolerance, walking intolerance, muscle pain, and shortness of breath. Women were more likely to experience long-term COVID syndrome than men (Odds Ratio: 1,268; 95% Confidence Interval: 1,122-1,432; P=0.0001), which was significant. Presentation with respiratory problems at the onset of illness was also significantly associated with long COVID syndrome (Odds Ratio: 1.425; 95% Confidence Interval: 1.177-1.724; P=0.0001). A shorter length of hospital stay was inversely associated with long COVID syndrome (Odds Ratio: 0.953; 95% Confidence Interval: 0.941-0.965; P=0.0001). Conclusion: Long COVID syndrome is a frequent and disabling condition and has significant associations with sex (female), respiratory symptoms at the onset, and the severity of the illness.

Background: We assessed the presence of brain volume loss in the extratemporal structures in patients with temporal lobe epilepsy (TLE). The associations between brain volume loss in these structures and epilepsy duration, magnetic resonance imaging (MRI) findings, and occurrence of focal to bilateral tonic-clonic seizures (TCS) were assessed. Methods: In this cross-sectional study, all adult patients with drug-resistant TLE, who were admitted to the epilepsy monitoring unit at Loghman-Hakim Hospital, Tehran, Iran, during 2016-2020, were included. For all the participants, brain MRI was performed and patients with TLE were divided into two subgroups of those with hippocampal sclerosis (TLE-HS) and patients with normal-appearing brain MRI findings (TLE-no). Independent sample t test was applied to compare quantitative variables in the study groups. Pearson correlation test examined the correlation between the clinical and volumetric features. Results: 203 participants (81 patients with TLE and 122 healthy controls) were studied. Compared with healthy controls, patients with TLE showed a decrease in their midbrain (P=0.02) and thalamus (P=0.01) volume. The degree of thalamic atrophy was more significant in TLE-HS (P=0.03). Moreover, the degree of midbrain volume loss was more significant (P=0.07) in patients who had TCS in the past two years (N=31) compared with those who did not (N=50). The volume of the thalamus (r: -0.252, P=0.02) and pallidum (r: -0.255, P=0.02) had inverse correlations with the epilepsy duration. Conclusion: Patients with TLE have lower midbrain and thalamus volume compared with the healthy controls, which may be attributed to the seizure-induced injury. Midbrain atrophy may theoretically increase the risk of sudden unexpected death in epilepsy (SUDEP) because of the enhanced autonomic dysfunction.

Objective: To develop a novel software method (AR2) for reducing muscle contamination of ictal scalp electroencephalogram (EEG), and validate this method on the basis of its performance in comparison to a commercially available software method (AR1) to accurately depict seizure-onset location. Methods: A blinded investigation used 23 EEG recordings of seizures from 8 patients. Each recording was uninterpretable with digital filtering because of muscle artifact and processed using AR1 and AR2 and reviewed by 26 EEG specialists. EEG readers assessed seizure-onset time, lateralization, and region, and specified confidence for each determination. The two methods were validated on the basis of the number of readers able to render assignments, confidence, the intra-class correlation (ICC), and agreement with other clinical findings. Results: Among the 23 seizures, two-thirds of the readers were able to delineate seizure-onset time in 10 of 23 using AR1, and 15 of 23 using AR2 (p Conclusions: EEG artifact reduction methods for localizing seizure-onset does not result in high rates of interpretability, reader confidence, and inter-reader agreement. However, the assignments by groups of readers are often congruent with other clinical data. Utilization of the AR2 software method may improve the validity of ictal EEG artifact reduction.

Objective: To develop a novel software method (AR2) for reducing muscle contamination of ictal scalp electroencephalogram (EEG), and validate this method on the basis of its performance in comparison to a commercially available software method (AR1) to accurately depict seizure-onset location. Methods: A blinded investigation used 23 EEG recordings of seizures from 8 patients. Each recording was uninterpretable with digital filtering because of muscle artifact and processed using AR1 and AR2 and reviewed by 26 EEG specialists. EEG readers assessed seizure-onset time, lateralization, and region, and specified confidence for each determination. The two methods were validated on the basis of the number of readers able to render assignments, confidence, the intra-class correlation (ICC), and agreement with other clinical findings. Results: Among the 23 seizures, two-thirds of the readers were able to delineate seizure-onset time in 10 of 23 using AR1, and 15 of 23 using AR2 (p Conclusions: EEG artifact reduction methods for localizing seizure-onset does not result in high rates of interpretability, reader confidence, and inter-reader agreement. However, the assignments by groups of readers are often congruent with other clinical data. Utilization of the AR2 software method may improve the validity of ictal EEG artifact reduction.