Neuropsychiatric SLE (NPSLE) comprises the neurologic and psychiatric syndromes observed in patients with SLE after exclusion of other causes. The diagnosis of NPSLE is challenging due to diverse clinical manifestations and absence of laboratory or radiologic biomarkers.

We present the case of a patient with SLE with a chronic isolated seizure and was successfully managed with antiepileptic medication and high-dose corticosteroids.

Seizures may occur as an isolated manifestation of an SLE flare. Ischemic and inflammatory causes of seizure may coexist in active lupus and both should be considered in managing patients. A prompt and holistic workup to rule out metabolic, infectious, and structural neural causes and lupus disease activity of seizures is prudent for patients with SLE.

The occurrence of seizures after hemorrhagic stroke is a significant contributor to mortality in patients with hemorrhagic stroke. Compared with ischemic stroke， hemorrhagic stroke is more frequently to cause seizures， with high disability and high mortality. If not detected early and treated in time， seizures may aggravate patient’s conditions in the acute stage， and cause accidental injuries in the recovery stage， increasing the burden on patient’s family. Early prediction and timely treatment of seizures can improve the survival rate and quality of life of patients. With science and technology advances， domestic and international researchers have established prediction models for seizures after hemorrhagic stroke， which use machine learning methods to process and identify relevant data， improving the accuracy of prediction for the disease. This review aims to summarize risk factors for post-hemorrhagic stroke seizures and related prediction models， so as to provide guidance for clinical diagnosis and treatment.
Seizures

BACKGROUND AND OBJECTIVE

Benign convulsions with mild gastroenteritis (CwG) is common but not readily recognizable to primary care physicians and pediatricians. Most literature comes from East Asia and Western countries. Studies among the Filipino population are lacking. This study aimed to determine the clinical presentation, management, and outcomes, and provide knowledge for accurate diagnosis and appropriate management.

This is a retrospective cohort study on pediatric patients diagnosed with CwG admitted at a tertiary hospital in the Philippines from January 2020 to December 2023. The study included patients 1-72 months old presenting with seizures accompanied by symptoms of gastroenteritis, without clinical signs of dehydration, electrolyte derangement, and fever (body temperatureRESULTS

Twenty patients met the criteria for CwG, aged 7-60 months, with a male:female ratio of 1:1. Most seizures were brief, generalized tonic-clonic occurring in clusters, with an average frequency of 3 per day. Laboratory findings, electroencephalogram, and neuroimaging results were mostly normal. Anti-seizure medications (ASMs) were prescribed in 65% (n=13), with levetiracetam being the most common. Most seizure clusters did not persist, and none needed additional ASM. Follow-up showed normal neurodevelopmental profiles.

This study highlights that CwG is also encountered among Filipino children. The clinical characteristics align with the known presentation of CwG. Most patients had normal test results and a benign course. Given this selflimiting nature, extensive testing and unnecessary therapy are not recommended, and instead provision of adequate counseling to the caregivers is advocated.

Neuropsychiatric SLE (NPSLE) comprises the neurologic and psychiatric syndromes observed in patients with SLE after exclusion of other causes. The diagnosis of NPSLE is challenging due to diverse clinical manifestations and absence of laboratory or radiologic biomarkers.

We present the case of a patient with SLE with a chronic isolated seizure and was successfully managed with antiepileptic medication and high-dose corticosteroids.

Seizures may occur as an isolated manifestation of an SLE flare. Ischemic and inflammatory causes of seizure may coexist in active lupus and both should be considered in managing patients. A prompt and holistic workup to rule out metabolic, infectious, and structural neural causes and lupus disease activity of seizures is prudent for patients with SLE.

BACKGROUND: To evaluate the efficacy and safety of the first cohort of people in China treated with a responsive neurostimulation system (Epilcure TM , GenLight MedTech, Hangzhou, China) for focal drug-resistant epilepsy in this study. METHODS: This multicenter, before-and-after self-controlled study was conducted across 8 centers from March 2022 to June 2023, involving patients with drug-resistant epilepsy who were undergoing responsive neurostimulation (RNS). The study was based on an ongoing multi-center, single-blind, randomized controlled study. Efficacy was assessed through metrics including median seizure count, seizure frequency reduction (SFR), and response rate. Multivariable linear regression analysis was conducted to explore the relationships of basic clinical factors and intracranial electrophysiological characteristics with SFR. The postoperative quality of life, cognitive function, depression, and anxiety were evaluated as well. RESULTS: The follow-up period for the 19 participants was 10.7 ± 3.4 months. Seizure counts decreased significantly 6 months after device activation, with median SFR of 48% at the 6th month (M6) and 58% at M12 ( P  <0.05). The average response rate after 13 months of treatment was 42%, with 21% ( n  = 4) of the participants achieving seizure freedom. Patients who have previously undergone resective surgery appear to achieve better therapeutic outcomes at M11, M12 and M13 ( β  <0, P  <0.05). No statistically significant differences were observed in patients' scores of quality of life, cognition, depression and anxiety following stimulation when compared to baseline measurements. No serious adverse events related to the devices were observed. CONCLUSIONS: The preliminary findings suggest that Epilcure TM exhibits promising therapeutic potential in reducing the frequency of epileptic seizures. However, to further validate its efficacy, larger-scale randomized controlled trials are required. REGISTRATION Chinese Clinical Trial Registry (No. ChiCTR2200055247).
Humans ; Female ; Male ; Drug Resistant Epilepsy/therapy* ; Adult ; Young Adult ; Middle Aged ; China ; Adolescent ; Treatment Outcome ; Quality of Life ; Single-Blind Method ; Seizures ; Electric Stimulation Therapy/methods*

The existing epilepsy seizure detection algorithms have problems such as overfitting and poor generalization ability due to high reliance on manual labeling of electroencephalogram's data and data imbalance between seizure and interictal periods. An unsupervised learning detection method for epileptic seizure that jointed graph attention network (GAT) and Transformer framework (GAT-T) was proposed. In this method, channel correlations were adaptively learned by GAT encoder. Temporal information was captured by one-dimensional convolution decoder. Combining outputs of the two mentioned above, predicted values for electroencephalogram were generated. The collective anomaly score was calculated and the detection threshold was determined. The results demonstrated that GAT-T achieved the average performance exceeding 90% (or 99%) with a 0.25 s (or 2 s) time segment length, which could effectively detect epileptic seizures. Moreover, the channel association probability matrix was expected to assist clinicians in the initial screening of the epileptogenic zone, and ablation experiments also reflected the significance of each module in GAT-T. This study may assist clinicians in making more accurate diagnostic and therapeutic decisions for epilepsy patients.
Humans ; Electroencephalography/methods* ; Epilepsy/physiopathology* ; Algorithms ; Seizures/physiopathology* ; Neural Networks, Computer ; Signal Processing, Computer-Assisted

Current epilepsy prediction methods are not effective in characterizing the multi-domain features of complex long-term electroencephalogram (EEG) data, leading to suboptimal prediction performance. Therefore, this paper proposes a novel multi-scale sparse adaptive convolutional network based on multi-head attention mechanism (MS-SACN-MM) model to effectively characterize the multi-domain features. The model first preprocesses the EEG data, constructs multiple convolutional layers to effectively avoid information overload, and uses a multi-layer perceptron and multi-head attention mechanism to focus the network on critical pre-seizure features. Then, it adopts a focal loss training strategy to alleviate class imbalance and enhance the model's robustness. Experimental results show that on the publicly created dataset (CHB-MIT) by MIT and Boston Children's Hospital, the MS-SACN-MM model achieves a maximum accuracy of 0.999 for seizure prediction 10 ~ 15 minutes in advance. This demonstrates good predictive performance and holds significant importance for early intervention and intelligent clinical management of epilepsy patients.
Humans ; Electroencephalography/methods* ; Epilepsy/physiopathology* ; Neural Networks, Computer ; Seizures/physiopathology* ; Signal Processing, Computer-Assisted ; Algorithms

Seizures are common clinical emergencies in neonatology, potentially leading to severe complications and directly impacting the neurodevelopmental prognosis of the infants with this condition. For primary healthcare providers, key clinical challenges include standardized emergency management, precise clinical diagnosis and treatment, and accurate assessment of referral indications. To assist primary healthcare providers in the prompt identification and standardized management of neonatal seizures, the Subspecialty Group of Neonatology, Society of Pediatrics, Chinese Medical Association organized a panel of experts to develop the "Guideline for the diagnosis and treatment of common neonatal diseases in primary healthcare institutions: neonatal seizures (2025)", based on the latest clinical evidence and expert consensus. This guideline provides primary healthcare providers with 17 recommendations addressing nine common clinical questions in neonatal seizures.
Humans ; Infant, Newborn ; Seizures/therapy* ; Primary Health Care ; Infant, Newborn, Diseases/diagnosis*

OBJECTIVES: The use of stem cells is a promising strategy for seizure treatment owing to their unique characteristics. We investigated the role of endothelial progenitor cells (EPCs) in a pentylenetetrazole (PTZ)‍-induced rat seizure model. A selected panel of long noncoding RNAs (lncRNAs), which maintain an elaborate balance in brain neural regulatory networks as well as the autophagy pathway, was also targeted. METHODS: The impact of intravenously administered EPCs on PTZ-induced kindling in rats was evaluated by measuring the expression of neuronal damage markers, neurotrophic factors, and relevant lncRNA genes. Rat behavior was assessed using Y-maze test and open field test (OFT). RESULTS: EPCs mitigated seizure-associated neurological damage and reversed PTZ-induced working memory and locomotor activity deficits, as evidenced by improved performance in the Y-maze test and OFT. EPC treatment reversed the downregulation of the expression of the lncRNAs Evf2, Pnky, Dlx1, APF, HOTAIR, and FLJ11812. EPCs also boosted vascular endothelial growth factor (VEGF) expression. The ameliorative effect achieved by EPCs was comparable to that produced by valproate. CONCLUSIONS These findings indicate that EPCs ameliorate kindling epileptic seizures and their associated abnormalities and that the effect of EPCs may be mediated via the upregulation of certain regulatory lncRNAs.
Animals ; Pentylenetetrazole ; RNA, Long Noncoding ; Seizures/therapy* ; Rats ; Male ; Endothelial Progenitor Cells/transplantation* ; Rats, Sprague-Dawley ; Kindling, Neurologic ; Vascular Endothelial Growth Factor A/metabolism* ; Disease Models, Animal

Mutations in the cyclin-dependent kinase-like 5 gene (CDKL5) cause a severe neurodevelopmental disorder, yet the impact of truncating mutations remains unclear. Here, we introduce the Cdkl5^492stop mouse model, mimicking C-terminal truncating mutations in patients. 492stop/Y mice exhibit altered dendritic spine morphology and spontaneous seizure-like behaviors, alongside other behavioral deficits. After creating cell lines with various Cdkl5 truncating mutations, we found that these mutations are regulated by the nonsense-mediated RNA decay pathway. Most truncating mutations result in CDKL5 protein loss, leading to multiple disease phenotypes, and offering new insights into the pathogenesis of CDKL5 disorder.
Animals ; Disease Models, Animal ; Mice ; Protein Serine-Threonine Kinases/deficiency* ; Mutation/genetics* ; Epileptic Syndromes/genetics* ; Humans ; Dendritic Spines/pathology* ; Spasms, Infantile/genetics* ; Male ; Seizures/genetics* ; Mice, Inbred C57BL