Evidence map›Paper›PMID 34343264›Full record

ArticleBrain : a journal of neurology2021

Interictal spikes with and without high-frequency oscillation have different single-neuron correlates.

Tim A Guth, Lukas Kunz, Armin Brandt, Matthias Dümpelmann, Kerstin A Klotz, Peter C Reinacher, Andreas Schulze-Bonhage, Julia Jacobs, Jan Schönberger

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Internal and external validation of comprehensive high-frequency activity biomarkers for epilepsy surgery.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Article
  2. Review
  3. Article
  4. Toward Unified Biomarkers for Focal Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Not All Spikes Are Equal.Journal of clinical medicine · 2025
    Review
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Optimizing detection and deep learning-based classification of pathological high-frequency oscillations in epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Tim A GuthEpilepsy Center, Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0000-0001-7041-8806
Lukas KunzEpilepsy Center, Medical Center, University of Freiburg, Freiburg, Germany.
Armin BrandtEpilepsy Center, Medical Center, University of Freiburg, Freiburg, Germany.
Matthias DümpelmannEpilepsy Center, Medical Center, University of Freiburg, Freiburg, Germany.
Kerstin A KlotzEpilepsy Center, Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-1601-5384
Peter C ReinacherFaculty of Medicine, University of Freiburg, Freiburg, Germany.
Andreas Schulze-BonhageEpilepsy Center, Medical Center, University of Freiburg, Freiburg, Germany.
Julia JacobsDepartment of Neuropediatrics and Muscle Disorders, Medical Center, University of Freiburg, Freiburg, Germany.
Jan SchönbergerEpilepsy Center, Medical Center, University of Freiburg, Freiburg, Germany.

Funding

Using Direct Brain Stimulation to Study Cognitive ElectrophysiologyU01NS113198 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI KAHANA, MICHAEL JACOB · 2019 to 2023
$6.9M
NINDS NIH HHS U01 NS113198
6 · The paper itself

Abstract

Interictal epileptiform discharges (IEDs) are a widely used biomarker in patients with epilepsy but lack specificity. It has been proposed that there are truly epileptogenic and less pathological or even protective IEDs. Recent studies suggest that highly pathological IEDs are characterized by high-frequency oscillations (HFOs). Here, we aimed to dissect these 'HFO-IEDs' at the single-neuron level, hypothesizing that the underlying mechanisms are distinct from 'non-HFO-IEDs'. Analysing hybrid depth electrode recordings from patients with temporal lobe epilepsy, we found that single-unit firing rates were higher in HFO- than in non-HFO-IEDs. HFO-IEDs were characterized by a pronounced pre-peak increase in firing, which coincided with the preferential occurrence of HFOs, whereas in non-HFO-IEDs, there was only a mild pre-peak increase followed by a post-peak suppression. Comparing each unit's firing during HFO-IEDs to its baseline activity, we found many neurons with a significant increase during the HFO component or ascending part, but almost none with a decrease. No such imbalance was observed during non-HFO-IEDs. Finally, comparing each unit's firing directly between HFO- and non-HFO-IEDs, we found that most cells had higher rates during HFO-IEDs and, moreover, identified a distinct subset of neurons with a significant preference for this IED subtype. In summary, our study reveals that HFO- and non-HFO-IEDs have different single-unit correlates. In HFO-IEDs, many neurons are moderately activated, and some participate selectively, suggesting that both types of increased firing contribute to highly pathological IEDs.

Indexed as

Action PotentialsAdultElectrocorticographyElectrodes, ImplantedEpilepsy, Temporal LobeFemaleHumansMaleMiddle AgedNeuronsYoung Adultepilepsyhigh-frequency oscillationsinterictal spikesintracranial EEGsingle unit

Identifiers

PMID34343264
PMCPMC8634126

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.