OBJECTIVES: To summarize the clinical and genetic characteristics of epilepsy with intellectual disability caused by SETD1B gene variants in children. METHODS: A retrospective analysis was conducted on the clinical data of three children with SETD1B gene variants diagnosed and treated at the Department of Pediatric Neurology of Xiangya Hospital of Central South University. Relevant literature was reviewed to summarize the clinical characteristics of this condition. RESULTS: All three children presented with symptoms during infancy or early childhood, including mild intellectual disability and myoclonic seizures, with two cases exhibiting eyelid myoclonia. After treatment with three or more antiepileptic drugs, two cases achieved seizure control or partial control, while one case remained refractory. Each of the three children was found to have a heterozygous variant in the SETD1B gene (one deletion, one frameshift, and one missense variant). To date, 54 cases with SETD1B gene variants have been reported, involving a total of 56 variants, predominantly missense variants (64%, 36/56). The main clinical manifestations included varying degrees of developmental delay (96%, 52/54) and seizures (81%, 44/54). Among the 44 patients with seizures, myoclonic (20%, 9/44) and absence seizures (34%, 15/44) were common, with eyelid myoclonia reported in six cases. Approximately one-fifth of these patients had poorly controlled seizures. CONCLUSIONS The primary phenotypes associated with SETD1B gene variants are intellectual disability and seizures, and seizures exhibit distinct characteristics. Eyelid myoclonia is not uncommon.
Humans ; Intellectual Disability/complications* ; Epilepsy/complications* ; Male ; Female ; Histone-Lysine N-Methyltransferase/genetics* ; Child, Preschool ; Child ; Retrospective Studies

The patient was a girl, aged 10 years, who was admitted due to fever for 5 days and pancytopenia in peripheral blood for 2 days. Bone marrow examination showed the presence of phagocytic activity, and peripheral blood tests showed pancytopenia, an increase in ferritin, a reduction in fibrinogen, increases in triglyceride and sCD25, and a reduction in natural killer cell activity, which led to the diagnosis of hemophagocytic lymphohistiocytosis (HLH). On the day of admission, the child developed convulsions and rapidly progressed to refractory status epilepticus, which was consistent with the manifestations of febrile infection-related epilepsy syndrome. HLH was controlled after active immunotherapy, with the sequela of refractory epilepsy, and her cognitive function was essentially within normal limits. This article reports the condition of febrile infection-related epilepsy syndrome caused by HLH for the first time in China, in order to improve the awareness of this disease among clinicians.
Humans ; Lymphohistiocytosis, Hemophagocytic/complications* ; Female ; Child ; Epilepsy/etiology* ; Fever/etiology* ; Epileptic Syndromes/etiology*

OBJECTIVES: To explore the therapeutic mechanism of Chaihu Shugan (CHSG) Decoction for improving cognitive impairment in rats with epilepsy induced by lithium chloride and pilocarpine. METHODS: Male SD rat models of cognitive impairment model after epilepsy induced by intraperitoneal injection with lithium chloride and pilocarpine were randomly divided into 5 groups (n=12) for treatment with daily gavage of saline, donepezil (90 mg/kg), or CHSG Decoction at 2.5, 5.0, 10, 20 and 40 g/kg for 4 consecutive weeks, with 10 rats with intraperitoneal injection with saline as the blank control group. Morris water maze test was used to evaluate cognitive and behavioral changes of the rats after treatment. The mRNA and protein expressions of ASIC1, NR1, NR2A and NR2B in the hippocampus of rats were detected using RT-qPCR and Western blotting. RESULTS: Compared with those with saline treatment, the rat models treated with CHSG Decoction at 5 and 10 g/kg showed significantly shortened escape latency and prolonged stay in the target quadrant with increased number of platform crossings in Morris water maze test. CHSG Decoction treatment at the two doses significantly increased ASIC1, NR1, NR2A and NR2B protein expressions in the hippocampus of the rat models, and their mRNA expression levels were all increased significantly after the treatment at the doses above 2.5 g/kg. CONCLUSIONS CHSG Decoction can improve cognitive impairment in rats after epilepsy possibly by regulating the expression and channel activity of NMDAR protein and its subunit protein via upregulating ASIC1 to modulate neuronal excitability and synaptic plasticity in the hippocampus.
Animals ; Hippocampus/drug effects* ; Receptors, N-Methyl-D-Aspartate/metabolism* ; Acid Sensing Ion Channels/metabolism* ; Rats, Sprague-Dawley ; Male ; Rats ; Epilepsy/complications* ; Cognitive Dysfunction/drug therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Up-Regulation ; Maze Learning

OBJECTIVE: To identify the optimal machine learning algorithm for predicting post-stroke epilepsy (PSE) within one year following acute stroke, establish a nomogram model based on this algorithm, and perform external validation to achieve accurate prediction of secondary epilepsy. METHODS: A total of 870 acute stroke patients admitted to the emergency department of Xiang'an Hospital of Xiamen University from June 2019 to June 2023 were enrolled for model development (model group). An external validation cohort of 435 acute stroke patients admitted to the Fifth Hospital of Xiamen during the same period was used to validate the machine learning algorithms and nomogram model. Patients were classified into control and epilepsy groups based on the development of PSE within one year. Clinical and laboratory data, including baseline characteristics, stroke location, vascular status, complications, hematologic parameters, and National Institutes of Health Stroke Scale (NIHSS) score, were collected for analysis. Nine machine learning algorithms such as logistic regression, CN2 rule induction, K-nearest neighbors, adaptive boosting, random forest, gradient boosting, support vector machine, naive Bayes, and neural network were applied to evaluate predictive performance. The area under the curve (AUC) of receiver operator characteristic curve (ROC curve) was used to identify the optimal algorithm. Logistic regression was used to screen risk factors for PSE, and the top 10 predictors were selected to construct the nomogram model. The predictive performance of the model was evaluated using the ROC curve in both the model and validation groups. RESULTS: Among the 870 patients in the model group, 29 developed PSE within one year. Among the nine algorithms tested, logistic regression demonstrated the best performance and generalizability, with an AUC of 0.923. Univariate logistic regression identified several risk factors for PSE, including platelet count, white blood cell count, red blood cell count, glycated hemoglobin (HbA1c), C-reactive protein (CRP), triglycerides, high-density lipoprotein (HDL), aspartate aminotransferase (AST), alanine aminotransferase (ALT), activated partial thromboplastin time (APTT), thrombin time, D-dimer, fibrinogen, creatine kinase (CK), creatine kinase-MB (CK-MB), lactate dehydrogenase (LDH), serum sodium, lactic acid, anion gap, NIHSS score, brain herniation, periventricular stroke, and carotid artery plaque. Further multivariate logistic regression analysis showed that white blood cell count, HDL, fibrinogen, lactic acid and brain herniation were independent risk factors [odds ratio (OR) were 1.837, 198.039, 47.025, 11.559, 70.722, respectively, all P < 0.05]. In the external validation group, univariate logistic regression analysis showed that platelet count, white blood cell count, CRP, triacylglycerol, APTT, D-dimer, fibrinogen, CK, CK-MB, LDH, NIHSS score, and cerebral herniation were risk factors for PSE one year after acute stroke. Further multiple logistic regression analysis showed that APTT and cerebral herniation were independent predictors (OR were 0.587 and 116.193, respectively, both P < 0.05). The nomogram model, constructed using 10 key variables-brain herniation, periventricular stroke, carotid artery plaque, white blood cell count, triglycerides, thrombin time, D-dimer, serum sodium, lactic acid, and NIHSS score-achieved an AUC of 0.908 in the model group and 0.864 in the external validation group. CONCLUSIONS The logistic regression-based prediction model for epilepsy one year after acute stroke, developed using machine learning algorithms, showed optimal predictive performance. The nomogram model based on the logistic regression-derived predictors showed strong discriminative power and was successfully validated externally, suggesting favorable clinical applicability and generalizability.
Humans ; Machine Learning ; Stroke/complications* ; Nomograms ; Epilepsy/etiology* ; Algorithms ; Male ; Female ; Logistic Models ; Middle Aged ; Aged ; Risk Factors ; Bayes Theorem

More than 100 genes located on the X chromosome have been found to be associated with X-linked intellectual disability (XLID) to date, and NEXMIF is a pathogenic gene for XLID. In addition to intellectual disability, patients with NEXMIF gene mutation can also have other neurological symptoms, such as epilepsy, abnormal behavior, and hypotonia, as well as abnormalities of other systems. Two children with intellectual disability and epilepsy caused by NEXMIF gene mutation were treated in the Department of Pediatrics, Xiangya Hospital, Central South University from March 8, 2017 to June 20, 2020. Patient 1, a 7 years and 8 months old girl, visited our department because of the delayed psychomotor development. Physical examination revealed strabismus (right eye), hyperactivity, and loss of concentration. Intelligence test showed a developmental quotient of 43.6. Electroencephalogram showed abnormal discharge, and cranial imaging appeared normal. Whole exome sequencing revealed a de novo heterozygous mutation, c.2189delC (p.S730Lfs*17) in the NEXMIF gene (NM_001008537). During the follow-up period, the patient developed epileptic seizures, mainly manifested as generalized and absent seizures. She took the medicine of levetiracetam and lamotrigine, and the seizures were under control. Patient 2, a 6-months old boy, visited our department due to developmental regression and seizures. He showed poor reactions to light and sound, and was not able to raise head without aid. Hypotonia was also noticed. The electroencephalogram showed intermittent hyperarrhythmia, and spasms were monitored. He was given topiramate and adrenocorticotrophic hormone (ACTH). Whole exome sequencing detected a de novo c.592C>T (Q198X) mutation in NEXMIF gene. During the follow-up period, the seizures were reduced with vigabatrin. He had no obvious progress in the psychomotor development, and presented strabismus. There were 91 cases reported abroad, 1 case reported in China, and 2 patients were included in this study. A total of 85 variants in NEXMIF gene were found, involving 83 variants reported in PubMed and HGMD, and the 2 new variants presented in our patients. The patients with variants in NEXMIF gene all had mild to severe intellectual disability. Behavioral abnormalities, epilepsy, hypotonia, and other neurological symptoms are frequently presented. The phenotype of male partially overlaps with that of female. Male patients often have more severe intellectual disability, impaired language, and autistic features, while female patients often have refractory epilepsy. Most of the variants reported so far were loss-of-function resulted in the reduced protein expression of NEXMIF. The degree of NEXMIF loss appears to correlate with the severity of the phenotype.
Child ; Epilepsy/genetics* ; Female ; Humans ; Intellectual Disability/genetics* ; Male ; Muscle Hypotonia/complications* ; Mutation ; Phenotype ; Seizures/genetics* ; Strabismus/complications*

OBJECTIVES: To analyze the case, scene and forensic pathological characteristics of sudden unexpected death in epilepsy (SUDEP), to provide a practical basis for forensic identification. METHODS: A total of 9 autopsy cases of SUDEP were collected. The basic information of the cases, the scene characteristics, the forensic pathological changes, the common drugs and antiepileptic drug test results, and pericardial fluid biochemical test results were analyzed. RESULTS: All of the 9 cases were male epilepsy patients died during sleep at night, the age of death was (37.1±8.6) years, and the course of epilepsy was (21.3±5.6) years. Six corpses were in prone position and three in left lateral position. The hemorrhage of the sternocleidomastoid muscle, sternal thyroid muscle and sternohyoid muscle were found with 8 cases, 5 cases and 4 cases, respectively, all of them were unilateral. Six cases had bilateral hemorrhage of pectoralis minor muscle. Brain edema, phagocytosis of frontotemporal neurons and gliosis, cardiac fibers bend in wavy patterns and eosinophilic staining enhancement, pulmonary edema, pulmonary congestion, alveolar hemorrhage, pulmonary small bronchiole wall shrinking, tubular proteinuria and pancreatic parenchymal hemorrhage were the common histopathological changes. The biochemical test results of pericardial fluid indicated that there were myocardial ischemic damage. CONCLUSIONS Young male, early onset, long course of disease, sleep in the prone position, poor drug compliance or combination, epileptic seizure may be the risk factors of SUDEP. Cardiac dysfunction and respiratory depression might be the main death mechanism of SUDEP.
Humans ; Male ; Adult ; Middle Aged ; Female ; Sudden Unexpected Death in Epilepsy ; Death, Sudden/pathology* ; Epilepsy/complications* ; Forensic Medicine ; Forensic Pathology

OBJECTIVE: To investigate the clinical characteristics, treatment, and prognosis of seizures in children with acute lymphoblastic leukemia (ALL) during chemotherapy. METHODS: Children with ALL with seizures during chemotherapy admitted to the Department of Pediatrics, Peking University People's Hospital from January 2010 to March 2022 were retrospectively analyzed. Clinical data including the incidence of seizure, time at seizure onset, causes, management, and prognosis were collected retrospectively. RESULTS: A total of 932 children with ALL were admitted during the study period, of whom, 75 (8%) were complicated with seizures during the period of chemotherapy. There were 40 males and 35 females, with a median age of 7.5 (1-17) years, and 43 cases (57.3%) occurred within the first 2 months of chemotherapy. The underlying diseases were reversible posterior encephalopathy syndrome (n=15), cerebral hemorrhage (n=10, one of whom was complicated with venous sinus thrombosis), intrathecal or systemic methotrexate administration (n=11), brain abscess (n=7, fungal infection in 3 cases, and bacterial in 4), viral encephalitis (n=2), febrile seizure (n=7), hyponatremia (n=7), hypocalcemia (n=2), and unknown cause (n=14). Sixty-four children underwent neuroimaging examination after seizure occurrence, of whom 37 (57.8%) were abnormal. The electroencephalograhpy (EEG) was performed in 44 cases and was abnormal in 24 (54.4%). Fifty-five patients remained in long-term remission with regular chemotherapy, 8 patients received hematopoietic stem cell transplantation, 9 died and 3 lost to follow-up. Symptomatic epilepsy was diagnosed in 18 cases (24%), and was well controlled in 16 with over 1 year of seizure-free. Whereas 2 cases were refractory to anti-seizure medications. CONCLUSION Seizures are relatively common in children with ALL, most commonly due to reversible posterior encephalopathy syndrome, methotrexate-related neurotoxicity, and cerebral hemorrhage. Seizures occurred within 2 months of chemotherapy in most cases. Neuroimaging and EEG should be performed as soon as possible after the first seizure onset to identify the etiology and to improve the treatment regimen. Some cases developed symptomatic epilepsy, with a satisfactory outcome of seizure remission mostly after concurrent antiseizure medication therapy.
Adolescent ; Brain Diseases/complications* ; Cerebral Hemorrhage/complications* ; Child ; Electroencephalography ; Epilepsy/drug therapy* ; Female ; Humans ; Male ; Methotrexate/adverse effects* ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/drug therapy* ; Prognosis ; Retrospective Studies

OBJECTIVES: To comprehensively analyze the characteristics of cognitive impairment of temporal lobe epilepsy (TLE), and to explore the effects of different lateral patients' cognitive impairment and different clinical factors on cognitive impairment of TLE. METHODS: A total of 84 patients, who met the diagnostic criteria for TLE in the Department of Neurology, Xiangya Hospital, were collected as a patient group, with 36 cases of left TLE and 48 cases of right TLE. A total of 79 healthy volunteers with matching gender, age and education level were selected as a control group. The Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and the scores of Arithmetic Test, Information Test, Digit Symbol Substitution Test (DSST), Block Design Test (BDT), Hayling Test and Verbal Fluency Test (VFT) of the revised Chinese Adult Wechsler Intelligence scale were retrospectively analyzed in the 2 groups.Multiple regression analysis was used to analyze the relationship between the clinical factors and the cognitive impairment score. RESULTS: Compared with the control group, the TLE patient group had low scores in all neuropsychological tests, with significant difference (all CONCLUSIONS There are multiple cognitive domain dysfunctions in TLE, including language, short-term memory, long-term memory, attention, working memory, executive function and visual space function. Left TLE has greater impairment of executive function and right TLE has greater damage in working memory. Long pathography of disease, hippocampal sclerosis and a history of febrile convulsions may lead to more severe cognitive impairment. Earlier identification and earlier intervention are needed to improve prognosis of patients.
Adult ; Cognitive Dysfunction/etiology* ; Epilepsy, Temporal Lobe/complications* ; Executive Function ; Humans ; Neuropsychological Tests ; Retrospective Studies

Cognitive impairment in children with benign childhood epilepsy with centrotemporal spikes (BECT) has complex etiologies and is closely associated abnormal neural networks. Multimodal magnetic resonance imaging of brain structure and function is a powerful tool for studying abnormal neural networks of cognitive impairment in epilepsy and can explore the pathogenesis of cognitive impairment in epilepsy at the level of brain structure and function by analyzing the imaging features of brain structure and function. This article reviews the research advances in multimodal magnetic resonance for cognitive impairment in children with BECT.
Brain ; Child ; Cognitive Dysfunction ; complications ; Epilepsy, Rolandic ; complications ; Humans ; Magnetic Resonance Spectroscopy

Consensus ; Epilepsy ; complications ; Humans ; Tuberous Sclerosis ; complications ; surgery