Article

Event-Wise Stability of Patient-Specific EEG-MEG Deep Learning Spike Detection in Clinical MEG

2026-08-21

Abstract excerpt

<h4>Objective: </h4> Computational magnetoencephalography (MEG) interictal epileptiform discharge (IED) detectors have mainly used generalized MEG-only models, whereas clinical MEG interpretation routinely integrates simultaneous electroencephalography (EEG) and includes MEG-unique or MEG-dominant discharges. We developed a patient-specific EEG-MEG IED detector and evaluated event-wise prediction stability across...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 08214f78-431c-5748-8430-3a40da4175e7
DOI: 10.64898/2026.08.18.26360638

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Event-Wise Stability of Patient-Specific EEG-MEG Deep Learning Spike Detection in Clinical MEGDOI 10.64898/2026.08.18.26360638Read

Association between Interictal Spike Rate and Seizure Frequency in a Large Epilepsy CohortSemantic proximity Read

Comparison of 11 High Frequency Oscillation (HFO) Detectors across Scalp and Intracranial EEG to Evaluate Clinical UtilitySemantic proximity Read

Expert level of detection of interictal discharges with a deep neural networkSemantic proximity Read

Real-Time EEG-Based Epileptic Seizure Prediction Using Artificial Intelligence: A Systematic ReviewSemantic proximity Read

A multimodal AI system for out-of-distribution generalization of seizure detectionSemantic proximity Read

Computer-assisted EEG diagnostic review for idiopathic generalized epilepsySemantic proximity Read

Evaluating and Validating an Artificial Intelligence Model for Automated Electroencephalogram Analysis: Implications for Clinical PracticeSemantic proximity Read

Automated Interictal Epileptiform Discharge Detection From Scalp EEG Using Scalable Time-series Classification ApproachesSemantic proximity Read

Unsupervised seizure annotation and detection with neural dynamic divergenceSemantic proximity Read

Machine Learning Interpretability Methods to Characterize Brain Network Dynamics in EpilepsySemantic proximity Read

Generalisability of epileptiform patterns across time and patientsSemantic proximity Read

Attentive CNN EEG or ACE-SeizNet: An Attention-Enhanced CNN Model for Automated EEG-Based Seizure Detection through Multi-Domain Deep Feature FusionSemantic proximity Read