ArticleFrontiers in neurology2020
Transfer Function Models for the Localization of Seizure Onset Zone From Cortico-Cortical Evoked Potentials.
Article in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Methodologies to detect cortico-cortical evoked potentials: a systematic review.Frontiers in human neuroscience · 2025Pooled it
- Adaptation modulates effective connectivity and network stability.Frontiers in computational neuroscience · 2026Article
- Exploring synergies: Advancing neuroscience with machine learning.Signal processing · 2026Article
- Cortico-cortical evoked potentials: Analytical techniques and emerging paradigms for epileptogenic zone localization.Epilepsia · 2025Review
- Effective Connectivity Predicts Surgical Outcomes in Temporal Lobe Epilepsy: A SEEG Study.CNS neuroscience & therapeutics · 2025Article
- Local field potential signal transmission is correlated with the fractional anisotropy measured by diffusion tractography.Brain communications · 2025Article
- Network excitability of stimulation-induced spectral responses helps localize the seizure onset zone.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024Article
- Virtual stimulation of the interictal EEG network localizes the EZ as a measure of cortical excitability.Frontiers in network physiology · 2024Article
- The sixth sense: how much does interictal intracranial EEG add to determining the focality of epileptic networks?Brain communications · 2024Article
- Stimulation to probe, excite, and inhibit the epileptic brain.Epilepsia · 2023Article
- Passive and active markers of cortical excitability in epilepsy.Epilepsia · 2023Review
- Article
- Quantitative approaches to guide epilepsy surgery from intracranial EEG.Brain : a journal of neurology · 2023Article
- Quantifying trial-by-trial variability during cortico-cortical evoked potential mapping of epileptogenic tissue.Epilepsia · 2023Article
- Stimulating native seizures with neural resonance: a new approach to localize the seizure onset zone.Brain : a journal of neurology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Surgical resection of the seizure onset zone (SOZ) could potentially lead to seizure-freedom in medically refractory epilepsy patients. However, localizing the SOZ can be a time consuming and tedious process involving visual inspection of intracranial electroencephalographic (iEEG) recordings captured during passive patient monitoring. Cortical stimulation is currently performed on patients undergoing invasive EEG monitoring for the main purpose of mapping functional brain networks such as language and motor networks. We hypothesized that evoked responses from single pulse electrical stimulation (SPES) can also be used to localize the SOZ as they may express the natural frequencies and connectivity of the iEEG network. To test our hypothesis, we constructed patient specific transfer function models from the evoked responses recorded from 22 epilepsy patients that underwent SPES evaluation and iEEG monitoring. We then computed the frequency and connectivity dependent "peak gain" of the system as measured by the
Indexed as
Identifiers
What OpenQuestion holds
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.