Machine learning applied to epilepsy: bibliometric and visual analysis from 2004 to 2023.

Background: Epilepsy is one of the most common serious chronic neurological disorders, which can have a serious negative impact on individuals, families and society, and even death. With the increasing application of machine learning techniques in medicine in recent years, the integration of machine learning with epilepsy has received close attention, and machine learning has the potential to provide reliable and optimal performance for clinical diagnosis, prediction, and precision medicine in epilepsy through the use of various types of mathematical algorithms, and promises to make better parallel advances. However, no bibliometric assessment has been conducted to evaluate the scientific progress in this area. Therefore, this study aims to visually analyze the trend of the current state of research related to the application of machine learning in epilepsy through bibliometrics and visualization. Methods: Relevant articles and reviews were searched for 2004-2023 using Web of Science Core Collection database, and bibliometric analyses and visualizations were performed in VOSviewer, CiteSpace, and Bibliometrix (R-Tool of R-Studio). Results: A total of 1,284 papers related to machine learning in epilepsy were retrieved from the Wo SCC database. The number of papers shows an increasing trend year by year. These papers were mainly from 1,957 organizations in 87 countries/regions, with the majority from the United States and China. The journal with the highest number of published papers is EPILEPSIA. Acharya, U. Rajendra (Ngee Ann Polytechnic, Singapore) is the authoritative author in the field and his paper "Deep Convolutional Neural Networks for Automated Detection and Diagnosis of Epileptic Seizures Using EEG Signals" was the most cited. Literature and keyword analysis shows that seizure prediction, epilepsy management and epilepsy neuroimaging are current research hotspots and developments. Conclusions: This study is the first to use bibliometric methods to visualize and analyze research in areas related to the application of machine learning in epilepsy, revealing research trends and frontiers in the field. This information will provide a useful reference for epilepsy researchers focusing on machine learning.

COVID-19 pandemic amplified mortality rates among adolescents with bipolar disorder through family-related factors.

BACKGROUND: Recently, a growing number of adolescents have been afflicted with mental disorders, with annual morbidity rates on the rise. This trend has been exacerbated by the global coronavirus disease 2019 (COVID-19) pandemic, leading to a surge in suicide and self-harm rates among this demographic. AIM: To investigate the impact of the COVID-19 pandemic on adolescent bipolar disorder (BD), along with the underlying factors contributing to heightened rates of suicide and self-harm among adolescents. METHODS: A comprehensive statistical analysis was conducted utilizing clinical interviews and self-reports obtained from patients or their guardians. Diagnostic criteria for BDs were based on the Diagnostic and statistical manual of mental disorders, international classification of diseases-11, and the National institute of mental health research domain criteria. Statistical analyses were performed using SPSS 26.0 software, with significance set at P < 0.05. RESULTS: A cohort of 171 adolescents diagnosed with BD between January 1, 2018, and December 31, 2022, was included in the analysis. The gender distribution was 2.8:1 (female to male), with ages ranging from 11 to 18 years old. Major factors contributing to adolescent BDs included familial influences, academic stress, genetic predisposition and exposure to school-related violence. Notably, a significant increase in suicide attempts and self-harm incidents was observed among adolescents with BD during the COVID-19 pandemic. Statistical analysis indicated that the pandemic exacerbated familial discord and heightened academic stress, thereby amplifying the prevalence of suicidal behavior and self-harm among adolescents. CONCLUSION: The COVID-19 pandemic has exacerbated familial tensions and intensified the incidence of suicide and self-harm among adolescents diagnosed with BD. This study underscores the urgent need for societal, familial and educational support systems to prioritize the well-being of adolescents and offers valuable insights and guidelines for the prevention, diagnosis and treatment of adolescent BDs.

Mechanism of Robo1 in the pentylenetetrazol-kindled epilepsy mouse model.

The neural network hypothesis is one of the important pathogenesis of drug-resistant epilepsy. Axons guide molecules through synaptic remodeling and brain tissue remodeling, which may result in the formation of abnormal neural networks. Therefore, axon guidance plays a crucial role in disease progression. However, although Robo1 is one of the important components of axon guidance, the role of Robo1 in epilepsy remains unclear. In this study, we aimed to explore the mechanism of Robo1 in epilepsy. Male adult C57BL/6 mice were intraperitoneally injected with pentylenetetrazol to establish an epilepsy model. Lentivirus (LV) was given via intracranial injection 2 weeks before pentylenetetrazol injection. Different expressions of Robo1 between the control group, LV-mediated Robo1 short hairpin RNA group, empty vector control LV group, and normal saline group were analyzed using Western blot, immunofluorescence staining, Golgi staining, and video monitoring. Robo1 was increased in the hippocampus in the pentylenetetrazol-induced epilepsy mouse model; lentiviral Robo1 knockdown prolonged the latency of seizure and reduced the seizure grade in mice and resulted in a decrease in dendritic spine density, while the number of mature dendritic spines was maintained. We speculate that Robo1 has been implicated in the development and progression of epilepsy through its effects on dendritic spine morphology and density. Epileptic mice with Robo1 knockdown virus intervention had lower seizure grade and longer latency. Follow-up findings suggest that Robo1 may modulate seizures by affecting dendritic spine density and morphology. Downregulation of Robo1 may negatively regulate epileptogenesis by decreasing the density of dendritic spines and maintaining a greater number of mature dendritic spines.

The mediating role of anxiety and depression in the relationship between coping styles and life satisfaction among frontline medical workers during the COVID-19 pandemic: A cross-sectional study.

This study aimed to examine the mediating role of anxiety and depression in the relationship between coping styles and life satisfaction among frontline medical workers during the COVID-19 pandemic. Five hundred and fourteen frontline medical workers from Zunyi were recruited to complete questionnaires, including the Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), Satisfaction with Life Scale (SWLS), and Simplified Coping Style Questionnaire (SCSQ). SPSS 24.0 was used to measure the characteristics of anxiety, depression, life satisfaction, and coping styles. We found that the prevalence rates of anxiety and depression among study participants were 22.57% and 18.29%, respectively. Besides, anxiety was positively correlated with depression; anxiety and depression were positively correlated with passive coping style but negatively correlated with life satisfaction and active coping style; life satisfaction was positively correlated with active coping style and negatively correlated with passive coping style (all p < 0.001). Moreover, anxiety and depression mediated the relationship between coping styles and life satisfaction. Anxiety accounted for 18.6% of the effect of active coping style and 35.48% of the effect of passive coping style on life satisfaction. Depression accounted for 48.84% of the effect of active coping style and 67.74% of the effect of passive coping style on life satisfaction. The present study provides novel insights into the effect of subclinical anxiety and depression on frontline medical workers in the pandemic area. Anxiety and depression yielded a mediating effect on the relationship between coping styles and life satisfaction.

VPS35, the core component of the retromer complex, and Parkinson's disease.

Parkinson's disease (PD) is a neurodegenerative disease that is common in middle-aged and elderly people, and its onset is related to multiple factors, such as heredity, environment, and age. The vesicle protein sorting 35 (VPS35) gene was found to be a late-onset autosomal dominant familial PD (PARK17) causative gene. The protein encoded by this gene is located in the endosome and aggregates with other membrane proteins to form a retromer complex, which participates in the membrane protein cycle between the endosome and the Golgi network. Increasing evidence shows that VPS35 may participate in the pathogenesis of PD by affecting autophagy, mitochondria, neurosynaptic transmission, dopamine signaling pathways, and so forth, and it can interact with other disease-causing genes of familial PD. This article aimed to review the functions of VPS35 and the mechanism of its mutations in PD that have been discovered in recent years.

Application value of molecular imaging technology in epilepsy.

Epilepsy is a common neurological disease with various seizure types, complicated etiologies, and unclear mechanisms. Its diagnosis mainly relies on clinical history, but an electroencephalogram is also a crucial auxiliary examination. Recently, brain imaging technology has gained increasing attention in the diagnosis of epilepsy, and conventional magnetic resonance imaging can detect epileptic foci in some patients with epilepsy. However, the results of brain magnetic resonance imaging are normal in some patients. New molecular imaging has gradually developed in recent years and has been applied in the diagnosis of epilepsy, leading to enhanced lesion detection rates. However, the application of these technologies in epilepsy patients with negative brain magnetic resonance must be clarified. Thus, we reviewed the relevant literature and summarized the information to improve the understanding of the molecular imaging application value of epilepsy.

Prophylactic AEDs Treatment for Patients With Supratentorial Meningioma Does Not Reduce the Rate of Perioperative Seizures: A Retrospective Single-Center Cohort Study.

Meningiomas, the most common brain tumor, inevitably require surgical treatment. However, the efficacy of prophylactic antiepileptic drugs (AEDs), in reducing the frequency of new-onset seizures during the perioperative period remains controversial. To further clarify if prophylactic antiepileptic drug treatment for patients with meningioma had value, we reviewed the medical records of 186 supratentorial meningioma patients who were operated at our hospital between 2016 and 2018. SPSS 24.0 software was used for statistical analysis. The results of univariate analysis showed that factors including age, sex, the course of the disease (years), maximum cross-sectional area of the tumor, location of the tumor, multiple or single tumors, adjacent to the cortex, peritumoral brain edema, World Health Organization classification, and peritumoral adhesion were not associated with perioperative seizures (P >0.05). Furthermore, the results of multivariate analysis revealed hydrocephalus (OR 4.87 P = 0.05) and non-skull base location (OR 1.88 P = 0.04) were significant risk factors for perioperative in-hospital seizures. Prophylactic valproic acid treatment did not contribute to the alleviation of perioperative seizures (OR 1.76 P = 0.04). However, Multivariate logistic regression analyses excluding the patients with seizures before operation confirmed prophylactic valproic acid treatment did not reduce the frequency of seizures during the perioperative period (OR 1.84 P = 0.04). Taken together, the data suggest that prophylactic valproic acid treatment for patients with supratentorial meningioma does not reduce the rate of perioperative seizures.

Corrigendum: Prophylactic AEDs Treatment for Patients With Supratentorial Meningioma Does Not Reduce the Rate of Perioperative Seizures: A Retrospective Single-Center Cohort Study.

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Epileptiform discharge upregulates p-ERK1/2, growth-associated protein 43 and synaptophysin in cultured rat hippocampal neurons.

Extracellular signal-regulated protein kinase, ERK1/2 is activated by phosphorylation (p-ERK1/2) during environmental stress such as epileptiform discharge. We investigated the role of ERK1/2 in abnormal axon growth and synapse reorganization in cultured neurons displaying epileptiform activity. The cultured neurons displaying epileptiform activity were treated with magnesium-free extracellular fluid for 3h and monitored epileptiform discharges using whole-cell patch clamp. Two study groups, neurons displaying epileptiform activity and the same neurons treated with ERK1/2 inhibitor U0126, were studied at six time points, 0 min, 30 min, 2h, 6h, 12h, and 24h following discharge. The expressions of p-ERK1/2, C-fos, growth-associated protein 43 (GAP-43) and synaptophysin (SYP), as markers of axon growth and synapse reorganization, were investigated by double-label immunofluorescence and western blotting. In the neurons displaying epileptiform activity, p-ERK1/2 was detected immediately following discharge, and expression peaked at 30 min. The expression of C-fos, GAP-43 and SYP followed the same pattern as p-ERK1/2. In the treated group, p-ERK1/2 was inhibited completely, and C-fos, GAP-43 and SYP were reduced. These findings indicate that epileptiform discharge activates ERK1/2 which regulates C-fos in cultured neurons displaying epileptiform activity, and this cascade may upregulate GAP-43 and SYP to contribute to axon growth and synapse reorganization to potentiate epileptic activities.

ERK1/2 activation in reactive astrocytes of mice with pilocarpine-induced status epilepticus.

OBJECTIVE: To investigate the activation pattern of extracellular signal-regulated kinase 1/2 (ERK1/2) in the hippocampus of mice during pilocarpine-induced status epilepticus (SE) and its relationship with reactive astrogliosis. METHODS: Status epilepticus (SE) models were established by intraperitoneal injection of pilocarpine. The intervention group received the ERK1/2 signaling pathway inhibitor SL327 before the pilocarpine injection. We evaluated the SE model group, the intervention group and the control saline-treated group, at 6 hours and 3 days after initiation of the seizure. Phosphorylated activated ERK1/2 and glial fibrillary acidic protein (GFAP) were labeled with both single-labeling and sequential single-labeling immunohistochemical techniques. RESULTS: Among the pilocarpine-treated (SE model) mice, strong immunohistochemical staining of phospho-ERK1/2 was observed in the neurons and astrocytes of the hippocampus at 6 hours after initiation of SE, whereas staining on the third day of SE was not different from the control saline-treated mice. In the SL327-treated mice (intervention group), SL327 effectively blocked the ERK1/2 activation and little gliosis could be detected at 6 hours and 3 days after initiation of SE; the levels of phospho-ERK1/2 remained low, but the level of gliosis was similar to that of SE mice. CONCLUSION: The ERK1/2 signaling pathway plays an important role in the early stage of reactive astrogliosis in mice with pilocarpine-induced SE.

Up-regulation of epithelial membrane protein-1 in the temporal neocortex of patients with intractable epilepsy.

Epithelial membrane protein-1 (EMP-1), called Tumor-associated membrane protein, is the marker of a drug-resistant tumor and take part in the drug-resistant mechanism of tumor, with the relationship of epidermal growth factor receptor (EGFR). Because there are some similarities between the pathogenesis and the drug resistance mechanism of tumor and the drug resistance mechanisms in epilepsy. EMP1 expression may be connected with the drug-resistance mechanism of epilepsy. We detected EMP-1 by gene scanning and immunohistochemistry staining, comparing the IE group and the control group, and we investigated the relationship between EMP-1 and EGFR by double-label immunofluorescence staining in the IE group. We found expression of EMP-1 mRNA was higher in IE per the gene scanning, EMP-1 immunoreactivity was apparent in neurons of IE patients but not in the control group, and the expression of EMP-1 and EGFR occurred in the same neuron. We confirm EMP-1 is abnormally expressed in IE and suggest the interaction of EGFR and EMP-1 plays a role in the mechanism of drug resistance in epilepsy and may be a new gene for drug resistance.

[Correlative research between ERK1/2 cascade and c-fos expression after hippocampal neuron epileptiform discharge].

OBJECTIVE: To investigate the correlation between ERK1/2 cascade and c-fos after hippocampal neuron epileptiform discharge. METHODS: Hippocampal neurons were collected from Wistar rats and cultured in magnesium-free extra-cellular fluid to establish hippocampal neuron epileptiform discharge model. Then the hippocampal neurons were divided into 2 groups: inhibitor group, added with 10 micromol/L U0126, inhibitor of ERK 1/2 pathway, and control group without any treatment, got at 0 min). Using double-label immunofluorescence, laser scanning confocal microscopy was performed to detect the disposition of phosphorylated-ERK1/2(p-ERK1/2) and c-fos in the neurons. Western blotting was used to detect the expression of p-ERK1/2 and c-fos 0 min, 30 min, 2 h, 6 h, 12 h, and 24 h following corresponding treatment RESULTS: Double-label immunofluorescence examination displayed that there was p-ERK1/2 in both the cytoplasm and nucleus, but c-fos in the nucleus only. Western blotting manifested that p-ERK1/2 was observed at each time points in the model group, and the expression pattern of c-fos was the same as p-ERK1/2, which peaked 30 min after treatment. In the inhibitor group, p-ERK1/2 was inhibited completely, and c-fos was decreased obviously. The c-fos expression levels at different time points of the inhibitor group were all significantly lower than those of the model group (all P < 0.01). CONCLUSION: After hippocampal neuron epileptiform discharge, ERK1/2 is activated for a long time, and the expression of c-fos is downregulated by blocking the phosphorylation of ERK1/2.