ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2018
The effect of increased intracranial EEG sampling rates in clinical practice.
Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- AI-Driven Mapping of Seizure Spread Patterns.Annals of neurology · 2026Article
- Research on depression diagnosis method based on multi-scale analysis of frontal lead EEG.BMC medical informatics and decision making · 2026Article
- Multi-expert consensus annotations of spontaneous and stimulation-induced seizures in stereotactic EEG.medRxiv : the preprint server for health sciences · 2026Article
- Mesial-to-lateral gradients of epileptiform activity to localize mesial temporal lobe epilepsy.Epilepsia · 2025Article
- A Preprocessing Pipeline for Pupillometry Signal from Multimodal iMotion Data.Sensors (Basel, Switzerland) · 2025Article
- Field-Programmable Gate Array-Based Ultra-Low Power Discrete Fourier Transforms for Closed-Loop Neural Sensing.bioRxiv : the preprint server for biology · 2025Article
- Stereo-EEG propagating source reconstruction identifies new surgical targets for epilepsy patients.Brain : a journal of neurology · 2025Article
- A scalable platform for acquisition of high-fidelity human intracranial EEG with minimal clinical burden.PloS one · 2024Article
- High frequency oscillation network dynamics predict outcome in non-palliative epilepsy surgery.Brain communications · 2024Article
- Electroencephalogram (EEG) assessment of brain activity before and after electrical stunning in the Nile crocodile (Crocodylus niloticus).Scientific reports · 2023Article
- Developmental atlas of phase-amplitude coupling between physiologic high-frequency oscillations and slow waves.Nature communications · 2023Article
- Automatic Detection and Classification of Epileptic Seizures from EEG Data: Finding Optimal Acquisition Settings and Testing Interpretable Machine Learning Approach.Biomedicines · 2023Article
- Multiple mechanisms shape the relationship between pathway and duration of focal seizures.Brain communications · 2022Article
- Brain network analysis of interictal epileptiform discharges from ECoG to identify epileptogenic zone in pediatric patients with epilepsy and focal cortical dysplasia type II: A retrospective study.Frontiers in neurology · 2022Article
- The accuracy of quantitative EEG biomarker algorithms depends upon seizure onset dynamics.Epilepsy research · 2021Article
- Spatial distribution of interictal spikes fluctuates over time and localizes seizure onset.Brain : a journal of neurology · 2020Article
- Graph theory for EEG: can we learn to trust another black box?Brain : a journal of neurology · 2019Article
- A MACHINE LEARNING MODEL TO PREDICT SEIZURE SUSCEPTIBILITY FROM RESTING-STATE FMRI CONNECTIVITY.Spring simulation conference (SpringSim)Article
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Authors and funding
8 authors.
Funding
Abstract
objectiveRecent research suggests that high frequency intracranial EEG (iEEG) may improve localization of epileptic networks. This study aims to determine whether recording macroelectrode iEEG with higher sampling rates improves seizure localization in clinical practice.
methods14 iEEG seizures from 10 patients recorded with >2000 Hz sampling rate were downsampled to four sampling rates: 100, 200, 500, 1000 Hz. In the 56 seizures, seizure onset time and location was marked by 5 independent, blinded EEG experts.
resultsWhen reading iEEG under clinical conditions, there was no consistent difference in time or localization of seizure onset or number of electrodes involved in the seizure onset zone with sampling rates varying from 100 to 1000 Hz. Stratification of patients by outcome did not improve with higher sampling rate.
conclusionWhen utilizing standard clinical protocols, there was no benefit to acquiring iEEGs with sampling rate >100 Hz. Significant variability was noted in EEG marking both within and between individual expert EEG readers. SIGNIFICANCE: Although commercial equipment is capable of sampling much faster than 100 Hz, tools allowing visualization of subtle high frequency activity such as HFOs will be required to improve patient care. Quantitative methods may decrease reader variability, and potentially improve patient outcomes.
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