Evidence map›Paper›PMID 42363785›Full record

ArticleEpilepsia2026

Ultrafast oscillations in the human brain and their functional significance.

Milan Brázdil, Vojtěch Trávníček, Jonathan Curot, Martin Pail, Monika Służewska-Niedźwiedź, Robert Roman, Filip Plešinger, Emmanuel Barbeau, Michal Kucewicz, Petr Klimeš and 4 more

Abstract read
In one paragraph

Article in Epilepsia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Networks through the lens of high-frequency oscillations.Frontiers in network physiology · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Milan BrázdilDepartment of Neurology, Brno Epilepsy Center, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Vojtěch TrávníčekInternational Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic.
Jonathan CurotBrain Research and Cognition Center, CNRS, UMR5549 University of Toulouse, Toulouse, France.ORCID https://orcid.org/0000-0003-1494-8284
Martin PailDepartment of Neurology, Brno Epilepsy Center, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Monika Służewska-NiedźwiedźClinical Department of Neurology, Faculty of Medicine, Wrocław Medical University, Wrocław, Poland.
Robert RomanCentral European Institute of Technology, Masaryk University, Brno, Czech Republic.
Filip PlešingerCzech Academy of Sciences, Institute of Scientific Instruments, Brno, Czech Republic.
Emmanuel BarbeauBrain Electrophysiology, Epilepsy and Sleep Unit, Department of Neurology, Toulouse University Hospital, Toulouse, France.
Michal KucewiczMultimedia Systems Department, Brain and Mind Electrophysiology Lab, BioTechMed Center, Gdańsk University of Technology, Gdańsk, Poland.
Petr KlimešCzech Academy of Sciences, Institute of Scientific Instruments, Brno, Czech Republic.
Jan CimbálníkInternational Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic.
Pavel JurákCzech Academy of Sciences, Institute of Scientific Instruments, Brno, Czech Republic.
William C StaceyDepartment of Neurology, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-8359-8057
Gregory A WorrellDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0003-2916-0553

Funding

Czech Science Foundation 21-44843LEuropean Union-Next Generation EU; and by the Czech Academy of Sciences-Project 68081731Ministry of Education, Youth, and Sports of the Czech Republic LX22NPO5107
6 · The paper itself

Abstract

objectiveThe upper frequency limit of human brain activity remains unknown. Using ultrahigh sampling rate (≥20 kHz) intracranial microelectroencephalography, this study aimed to systematically explore and quantitatively characterize brain field oscillations beyond the established high-frequency oscillation range (>2 kHz), and to determine their relationship to epileptogenic tissue.

methodsWe analyzed intracranial electroencephalographic recordings from 15 patients with drug-resistant epilepsy, comprising 466 microcontacts and 434 macrocontacts implanted in mesiotemporal structures across four international epilepsy centers. A custom spectrogram-based detector optimized for ultrahigh frequencies was developed to identify ultrafast oscillations (UFOs; >2 kHz). UFO rates were assessed in epileptic (successfully resected) and nonepileptic hippocampi and compared with established electrophysiological biomarkers, including interictal epileptiform discharges, ripples, and fast ripples. Statistical comparisons were performed using mixed-effects models to account for intersubject and interelectrode variability.

resultsWe identified a previously undescribed class of short-duration oscillatory events spanning 2-8 kHz. UFOs occurred at significantly higher rates in epileptic compared with nonepileptic mesiotemporal regions, with the strongest differentiation observed in the 2-3-kHz band. Two distinct UFO phenotypes were consistently observed: (1) spindlelike, narrow-band oscillations and (2) sharp-onset, rapidly decaying bursts. Both forms were prevalent within epileptic hippocampi but were exceedingly rare in nonepileptic structures. UFOs exhibited pronounced temporal intermittency and spatial focality and frequently arose independently of ripples, fast ripples, and very high-frequency oscillations, indicating that they represent a distinct electrophysiological phenomenon. Macrocontacts detected UFOs only exceptionally, highlighting the necessity of microelectrode recordings to capture activity in this ultrahigh-frequency regime. SIGNIFICANCE: These findings substantially extend the known frequency range of human brain field activity and identify ultrafast oscillations as a novel biomarker of neuronal hyperexcitability. UFOs likely reflect pathological microcircuit dynamics inaccessible to conventional clinical recordings and provide new insights into the organization and pathophysiology of epileptogenic networks.

Indexed as

BrainBrain WavesDrug Resistant EpilepsyElectrocorticographyAdolescentAdultElectrodes, ImplantedFemaleHippocampusHumansMaleMiddle AgedYoung Adultepilepsyhigh‐frequency oscillations (HFOs)intracranial EEG (iEEG)microelectrodesneuronal hyperexcitabilityultrafast oscillations (UFOs)

Identifiers

PMID42363785
PMCPMC13592492

What OpenQuestion holds

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Registered trials

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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.