AIMC Topic: Seizures

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A novel ST-GCN model based on homologous microstate for subject-independent seizure prediction.

Scientific reports Jul 2, 2025
Due to the lack of validated universal seizure markers, population-level prediction methods often exhibit limited performance. This study proposes homologous microstate dynamic attributes as a generalized, subject-independent seizure marker. Homologo...
Humans Neural Networks, Computer Seizures Electroencephalography
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Identification of plasma proteins associated with seizures in epilepsy: A consensus machine learning approach.

PloS one Jul 1, 2025
Blood-based biomarkers in epilepsy could constitute important research tools advancing neurobiological understanding and valuable clinical tools for better diagnosis and follow-up. An interesting question is whether biomarker patterns could contribut...
Female Young Adult Adult Machine Learning Biomarkers Humans Blood Proteins Epilepsy Seizures Middle Aged Proteomics Male
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A novel dual-branch network for comprehensive spatiotemporal information integration for EEG-based epileptic seizure detection.

PloS one Jun 26, 2025
Epilepsy is a neurological disorder characterized by recurrent seizures caused by abnormal brain activity, which can severely affects people's normal lives. To improve the lives of these patients, it is necessary to develop accurate methods to predic...
Humans Neural Networks, Computer Algorithms Epilepsy Deep Learning Seizures Electroencephalography Signal Processing, Computer-Assisted
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Thalamic neural activity and epileptic network analysis using stereoelectroencephalography: a prospective study protocol.

BMJ open Jun 10, 2025
INTRODUCTION: Epilepsy is a prevalent chronic neurological disorder, with approximately one-third of patients experiencing intractable epilepsy, often necessitating surgical intervention. Deep brain stimulation (DBS) of the thalamus has been introduc...
Deep Brain Stimulation Nerve Net Stereotaxic Techniques Drug Resistant Epilepsy Thalamus Adolescent Electroencephalography Seizures Adult Male Humans Female Young Adult Prospective Studies
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Automated classification of seizure onset pattern using intracranial electroencephalogram signal of non-human primates.

Physiological measurement Jun 10, 2025
To develop and validate a machine learning framework for the classification of distinct seizure onset patterns using intracranial EEG (iEEG) recordings in a non-human primate (NHP) model of penicillin-induced seizures.iEEG data were collected from si...
Electroencephalography Seizures Signal Processing, Computer-Assisted Machine Learning Animals Electrocorticography Primates Automation
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Optimal graph representations and neural networks for multichannel time series data in seizure phase classification.

Scientific reports Jun 4, 2025
In recent years, several machine-learning (ML) solutions have been proposed to solve the problems of seizure detection, seizure phase classification, seizure prediction, and seizure onset zone (SOZ) localization, achieving excellent performance with ...
Machine Learning Algorithms Seizures Electroencephalography Humans Neural Networks, Computer
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Requirement Analysis for Data-Driven Electroencephalography Seizure Monitoring Software to Enhance Quality and Decision Making in Digital Care Pathways for Epilepsy: A Feasibility Study from the Perspectives of Health Care Professionals.

JMIR human factors May 30, 2025
BACKGROUND: Abnormal brain activity is the source of epileptic seizures, which can present a variety of symptoms and influence patients' quality of life. Therefore, it is critical to track epileptic seizures, diagnose them, and provide potential ther...
Humans Focus Groups Feasibility Studies Electroencephalography Epilepsy Software Seizures Health Personnel
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Clinical Value of ChatGPT for Epilepsy Presurgical Decision-Making: Systematic Evaluation of Seizure Semiology Interpretation.

Journal of medical Internet research May 12, 2025
BACKGROUND: For patients with drug-resistant focal epilepsy, surgical resection of the epileptogenic zone (EZ) is an effective treatment to control seizures. Accurate localization of the EZ is crucial and is typically achieved through comprehensive p...
Magnetic Resonance Imaging Adult Seizures Humans Electroencephalography Epilepsy Male Drug Resistant Epilepsy Female Generative Artificial Intelligence
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Event driven neural network on a mixed signal neuromorphic processor for EEG based epileptic seizure detection.

Scientific reports May 7, 2025
Long-term monitoring of biomedical signals is essential for the modern clinical management of neurological conditions such as epilepsy. However, developing wearable systems that are able to monitor, analyze, and detect epileptic seizures with long-la...
Electroencephalography Epilepsy Seizures Humans Signal Processing, Computer-Assisted Neural Networks, Computer
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Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data.

Scientific reports May 2, 2025
Electroencephalography (EEG) is one of the most used techniques to perform diagnosis of epilepsy. However, manual annotation of seizures in EEG data is a major time-consuming step in the analysis process of EEGs. Different machine learning models hav...
Seizures Electroencephalography Epilepsy Neural Networks, Computer Machine Learning Humans Deep Learning
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