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References from Computer-assisted analysis of routine EEG to identify hidden biomarkers of epilepsy: A systematic review. Local targets link to admitted publications; unresolved targets remain external evidence.
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The misdiagnosis of epilepsy
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10.1111/epi.12720 · 2014 · External reference
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10.1111/epi.13481 · 2016 · External reference
Revealing epilepsy type using a computational analysis of interictal EEG
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Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes
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Personalized prediction model for seizure-free epilepsy with levetiracetam therapy: a retrospective data analysis using support vector machine
10.1111/bcp.13720 · 2018 · External reference
Differentiation between Normal and Interictal EEG Using Multitaper Spectral Classifiers
2018 · External reference
Spectral power of interictal EEG in the diagnosis and prognosis of idiopathic generalized epilepsies
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Diagnosis of epilepsy from interictal EEGs based on chaotic and wavelet transformation
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10.1111/epi.13273 · 2016 · External reference
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EEG biomarker candidates for the identification of epilepsy
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A review of network and computer analysis of epileptiform discharge free EEG to characterize and detect epilepsy
10.1177/15500594211008285 · 2022 · External reference
Computer-assisted analysis of routine electroencephalogram to identify hidden biomarkers of epilepsy: protocol for a systematic review
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Automated epilepsy detection techniques from electroencephalogram signals: a review study
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Paroxysmal slow wave events predict epilepsy following a first seizure
10.1111/epi.17110 · 2022 · External reference
A feature tensor-based epileptic detection model based on improved edge removal approach for directed brain networks
10.3389/fnins.2020.557095 · 2020 · External reference
Electrophysiological correlates of brain health help diagnose epilepsy and lateralize seizure focus
2020 · External reference
Automatic Diagnosis of Epilepsy from EEG Signals using Discrete Cosine Transform
2020 · External reference
Automated epilepsy diagnosis using EEG with test set evaluation
10.1109/tnsre.2019.2914603 · 2019 · External reference
Functional connectivity’ is a sensitive predictor of epilepsy diagnosis after the first seizure
10.1371/journal.pone.0010839 · 2010 · External reference
Alternative Diagnosis of Epilepsy in Children Without Epileptiform Discharges Using Deep Convolutional Neural Networks
10.1142/s0129065718500600 · 2020 · External reference
Epileptic data classification using frequency power estimation of channel (FP1-F7) in Children
2018 · External reference
Nonlinear EEG biomarker profiles for autism and absence epilepsy
10.1186/s40810-017-0023-x · 2017 · External reference
Pediatric epilepsy: clustering by functional connectivity using phase synchronization
2015 · External reference
brain functional connectivity networks in pediatric epilepsy
10.1016/j.compbiomed.2014.10.018 · 2015 · External reference
Functional connectivity network based on graph analysis of scalp EEG for epileptic classification
2013 · External reference
A probabilistic approach for pediatric epilepsy diagnosis using brain functional connectivity networks
10.1186/1471-2105-16-s7-s9 · 2015 · External reference
Adaptive neuro-fuzzy inference system for classification of background EEG signals from ESES patients and controls
2014 · External reference
A new parametric feature descriptor for the classification of epileptic and control EEG records in pediatric population
10.1142/s0129065712500013 · 2012 · External reference
ARMA modeling for the diagnosis of controlled epileptic activity in young children
10.1109/isccsp.2008.4537186 · 2008 · External reference
Using interictal seizure-free EEG data to recognise patients with epilepsy based on machine learning of brain functional connectivity
2021 · External reference
Machine learning detects EEG microstate alterations in patients living with temporal lobe epilepsy
10.1016/j.seizure.2018.07.007 · 2018 · External reference
Hyperventilation in patients with focal epilepsy: electromagnetic tomography, functional connectivity and graph theory: A possible tool in epilepsy diagnosis?
10.1097/wnp.0000000000000329 · 2017 · External reference
Interval analysis of interictal EEG: pathology of the alpha rhythm in focal epilepsy
10.1038/srep16230 · 2015 · External reference
Comparison of background EEG activity of different groups of patients with idiopathic epilepsy using Shannon spectral entropy and cluster-based permutation statistical testing
10.1371/journal.pone.0184044 · 2017 · External reference
Analyzing epileptogenic brain connectivity networks using clinical EEG data
10.1109/bibm.2015.7359791 · 2015 · External reference
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Optimisation and data mining techniques for the screening of epileptic patients
10.1504/ijbra.2009.024036 · 2009 · External reference
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2001 · External reference
Pattern- and network-based classification techniques for multichannel medical data signals to improve brain diagnosis
10.1109/tsmca.2011.2106118 · 2011 · External reference
EEG signal analysis using classification techniques: logistic regression, artificial neural networks, support vector machines, and convolutional neural networks
10.1016/j.heliyon.2021.e07258 · 2021 · External reference
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2020 · External reference
Computer aided tool for diagnosing epilepsy using kolmogorov complexity and approximate entropy
2020 · External reference
Automated epilepsy diagnosis using interictal scalp EEG
2009 · External reference
EEG-based classification of epilepsy and PNES: EEG microstate and functional brain network features
10.1186/s40708-020-00107-z · 2020 · External reference
Diagnostic Test for the Discrimination between Interictal Epileptic and Non-Epileptic Pathological EEG Events using Auto-Cross-Correlation Methods
2003 · External reference
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10.1109/bid.2017.8336579 · 2017 · External reference
A tutorial review of functional connectivity analysis methods and their interpretational pitfalls
10.3389/fnsys.2015.00175 · 2016 · External reference
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10.31887/dcns.2018.20.2/osporns · External reference
EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
10.1088/1741-2552/aace8c · 2018 · External reference
EEG-based outcome prediction after cardiac arrest with convolutional neural networks: Performance and visualization of discriminative features
10.1002/hbm.24724 · 2019 · External reference
Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis
10.1016/j.jocm.2018.07.002 · 2018 · External reference
Evidence-based guideline: management of an unprovoked first seizure in adults
10.1212/wnl.0000000000001487 · 2015 · External reference
Assessment and cost comparison of sleep-deprived EEG, MRI and PET in the prediction of surgical treatment for epilepsy
10.1053/seiz.2001.0648 · 2002 · External reference
Evaluation of the direct costs of epilepsy in a sample of Egyptian patients following up in Ain Shams University Hospital
10.1186/s41983-020-00247-3 · 2020 · External reference
EEG-BIDS, an extension to the brain imaging data structure for electroencephalography
10.1038/s41597-019-0104-8 · 2019 · External reference
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10.1111/epi.17448 · 2023 · External reference
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10.1093/jnci/djn326 · External reference
Empirical evidence of design-related bias in studies of diagnostic tests
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Drug Effects on EEG
10.1097/01.wnp.0000229137.94384.fa · 2006 · External reference
Age-related differences in resting-state EEG and allocentric spatial working memory performance
10.3389/fnagi.2021.704362 · 2021 · External reference
Neural biomarker diagnosis and prediction to mild cognitive impairment and Alzheimer’s disease using EEG technology
10.1186/s13195-023-01181-1 · 2023 · External reference
EEG in neurological conditions other than epilepsy: when does it help, what does it add?
2005 · External reference
EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies
10.3389/fnhum.2018.00521 · 2019 · External reference
Case–Control and Two-Gate Designs in Diagnostic Accuracy Studies
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Automated EEG artifact elimination by applying machine learning algorithms to ICA-based features
2017 · External reference
Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression
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The PREP pipeline: standardized preprocessing for large-scale EEG analysis
10.3389/fninf.2015.00016 · 2015 · External reference
Systems, subjects, sessions: to what extent do these factors influence EEG data?
10.3389/fnhum.2017.00150 · 2017 · External reference
Diagnostic Accuracy of Ambulatory EEG vs Routine EEG in Patients With First Single Unprovoked Seizure
2023 · External reference
Artifact Detection and Correction
10.3389/fdgth.2020.608920 · 2021 · External reference
Intracerebral EEG artifact identification using convolutional neural networks
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EEG is better left alone
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Towards accurate prediction of epileptic seizures: A review
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Deep learning with convolutional neural networks for decoding and visualization of EEG pathology
2017 · External reference
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Epileptic seizure prediction using deep transformer model
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Seizure prediction based on transformer using scalp electroencephalogram
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EEG-based seizure prediction via Transformer guided CNN
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Racial and socioeconomic disparities in the advanced treatment of medically intractable pediatric epilepsy
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