ArticleIEEE transactions on bio-medical engineering2020
Early Detection of Human Epileptic Seizures Based on Intracortical Microelectrode Array Signals.
Article in IEEE transactions on bio-medical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 38 citations in OpenAlex.
- Microelectrode Implantation in Human Insula: Technical Challenges and Recording Insights.Brain sciences · 2025Article
- Mesoscale insights in Epileptic Networks: A Multimodal Intracranial Dataset.Scientific data · 2025Article
- Controllability of nonlinear epileptic-seizure spreading dynamics in large-scale subject-specific brain networks.Scientific reports · 2025Article
- Time series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro.PloS one · 2025Article
- iSeizdiag: toward the framework development of epileptic seizure detection for healthcare.Frontiers in computational neuroscience · 2025Article
- Application of deconvolutional networks for feature interpretability in epilepsy detection.Frontiers in neuroscience · 2024Article
- The effect of a Mn(III)tetrakis(4-benzoic acid)porphyrin (MnTBAP) coating on the chronic recording performance of planar silicon intracortical microelectrode arrays.Biomaterials · 2023Article
- Differential expression of genes involved in the chronic response to intracortical microelectrodes.Acta biomaterialia · 2023Article
- Brainmask: an ultrasoft and moist micro-electrocorticography electrode for accurate positioning and long-lasting recordings.Microsystems & nanoengineering · 2023Article
- The microbiota-gut-brain axis and epilepsy from a multidisciplinary perspective: Clinical evidence and technological solutions for improvement of in vitro preclinical models.Bioengineering & translational medicine · 2022Review
- Sharp decrease in the Laplacian matrix rank of phase-space graphs: a potential biomarker in epilepsy.Cognitive neurodynamics · 2021Article
- Home Use of a Percutaneous Wireless Intracortical Brain-Computer Interface by Individuals With Tetraplegia.IEEE transactions on bio-medical engineering · 2021Article
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
objectiveWe examine, for the first time, the use of intracortical microelectrode array (MEA) signals for early detection of human epileptic seizures.
methods4×4 mm
resultsThe use of combined LFP-MUA features resulted in 100% sensitivity with short detection latency (average: 2.7 s; median: 2.5 s) and five false alarms (0.13/h). The average detection performance based on the area under the receiver operating characteristic corresponded to 0.97. Importantly, technically false alarms were related to epileptiform activity, subclinical seizures, and recording artifacts. Extreme gradient boosting classifiers ranked features based on LFP spectral coherence or MUA count among the top features for seizures characterized by spike-wave complexes, whereas features related to LFP power spectra were ranked higher for seizures characterized by sustained gamma LFP oscillations.
conclusionThe combination of intracortical LFP and MUA signals may allow reliable detection of human epileptic seizures by improving latency and false alarm rate. SIGNIFICANCE: Intracortical MEAs provide promising signals for closed-loop seizure-control systems based on seizure early-detection in people with pharmacologically resistant epilepsies.
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