ReviewClinical neurophysiology practice2023
EEG biomarker candidates for the identification of epilepsy.
Review in Clinical neurophysiology practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 40 citations in OpenAlex.
- Multilayer Validation Reveals a Glia-Associated Secretome Signature in Temporal Lobe Epilepsy.Journal of molecular neuroscience : MN · 2026Article
- Towards Interpretable Seizure Detection: An Excitation/Inhibition Dynamic Polynomial Network Framework for Electroencephalography.Sensors (Basel, Switzerland) · 2026Article
- Interactive and open educational resources for advanced EEG analysis.Epileptic disorders : international epilepsy journal with videotape · 2026Article
- Development and validation of a deep survival model to predict time to seizure from routine electroencephalography.Epilepsia · 2026Article
- EEGPARnet: time-frequency attention transformer encoder and GRU decoder for removal of ocular and muscular artifacts from EEG signals.Medical & biological engineering & computing · 2026Article
- Non-invasive neuromodulation for drug-resistant epilepsy: a contemporary structured review of mechanisms, clinical evidence and future directions.Frontiers in neurology · 2026Review
- An Innovative Method for Refractory Epilepsy Diagnosis Based on Microstate Analysis and Graph Convolutional Network.Journal of medical systems · 2025Article
- Diagnosing Epilepsy with Normal Interictal EEG Using Dynamic Network Models.Annals of neurology · 2025Article
- Recent applications of EEG-based brain-computer-interface in the medical field.Military Medical Research · 2025Review
- The Effect of Peripheral Magnetic Stimulation on Functional Mobility and Morphology in Cerebral Palsy with Spastic Diplegia: A Randomized Controlled Trial.Life (Basel, Switzerland) · 2025Article
- Computer-assisted analysis of routine EEG to identify hidden biomarkers of epilepsy: A systematic review.Computational and structural biotechnology journal · 2024Review
- The value of linear and non-linear quantitative EEG analysis in paediatric epilepsy surgery: a machine learning approach.Scientific reports · 2024Article
- Association of interictal epileptiform discharges and serum concentration of levetiracetam and lamotrigine.Frontiers in neurology · 2024Article
- A Review of EEG-based Localization of Epileptic Seizure Foci: Common Points with Multimodal Fusion of Brain Data.Journal of medical signals and sensors · 2024Review
- Causal link between prefrontal cortex and EEG microstates: evidence from patients with prefrontal lesion.Frontiers in neuroscience · 2023Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electroencephalography (EEG) is one of the main pillars used for the diagnosis and study of epilepsy, readily employed after a possible first seizure has occurred. The most established biomarker of epilepsy, in case seizures are not recorded, are interictal epileptiform discharges (IEDs). In clinical practice, however, IEDs are not always present and the EEG may appear completely normal despite an underlying epileptic disorder, often leading to difficulties in the diagnosis of the disease. Thus, finding other biomarkers that reliably predict whether an individual suffers from epilepsy even in the absence of evident epileptic activity would be extremely helpful, since they could allow shortening the period of diagnostic uncertainty and consequently decreasing the risk of seizure. To date only a few EEG features other than IEDs seem to be promising candidates able to distinguish between epilepsy, i.e. > 60 % risk of recurrent seizures, or other (pathological) conditions. The aim of this narrative review is to provide an overview of the EEG-based biomarker candidates for epilepsy and the techniques employed for their identification.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.