ReviewComputational intelligence and neuroscience2018
High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence.
Review in Computational intelligence and neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- High frequency broadband activity detected noninvasively in infants distinguishes wake from sleep states.bioRxiv : the preprint server for biology · 2025Article
- Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future.Epilepsia open · 2025Article
- Combining interictal intracranial EEG and fMRI to compute a dynamic resting-state index for surgical outcome validation.Frontiers in network physiology · 2024Article
- Normative brain mapping using scalp EEG and potential clinical application.Scientific reports · 2023Article
- Article
- Review of electroencephalography signals approaches for mental stress assessment.Neurosciences (Riyadh, Saudi Arabia) · 2022Review
- High-Frequency Oscillations and Epileptogenic Network.Current neuropharmacology · 2022Article
- Neural fragility as an EEG marker of the seizure onset zone.Nature neuroscience · 2021Article
- Are High Frequency Oscillations in Scalp EEG Related to Age?Frontiers in neurology · 2021Article
- Pitfalls in Scalp High-Frequency Oscillation Detection From Long-Term EEG Monitoring.Frontiers in neurology · 2020Article
- Localization of the Epileptogenic Zone Using High Frequency Oscillations.Frontiers in neurology · 2019Review
- Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity.Frontiers in neurology · 2019Review
- MEEGIPS-A Modular EEG Investigation and Processing System for Visual and Automated Detection of High Frequency Oscillations.Frontiers in neuroinformatics · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
High-frequency oscillations (HFOs) in the electroencephalogram (EEG) are thought to be a promising marker for epileptogenicity. A number of automated detection algorithms have been developed for reliable analysis of invasively recorded HFOs. However, invasive recordings are not widely applicable since they bear risks and costs, and the harm of the surgical intervention of implantation needs to be weighted against the informational benefits of the invasive examination. In contrast, scalp EEG is widely available at low costs and does not bear any risks. However, the detection of HFOs on the scalp represents a challenge that was taken on so far mostly via visual detection. Visual detection of HFOs is, in turn, highly time-consuming and subjective. In this review, we discuss that automated detection algorithms for detection of HFOs on the scalp are highly warranted because the available algorithms were all developed for invasively recorded EEG and do not perform satisfactorily in scalp EEG because of the low signal-to-noise ratio and numerous artefacts as well as physiological activity that obscures the tiny phenomena in the high-frequency range.
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.