Evidence map›Paper›PMID 32944942›Full record

ArticleEpilepsia2020

Preictal variability of high-frequency oscillation rates in refractory epilepsy.

Jared M Scott, Sijin Ren, Stephen V Gliske, William C Stacey

Open access · bronzeAbstract read
In one paragraph

Article in Epilepsia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Jared M ScottDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-9656-916X
Sijin RenNeuroscience Graduate Program, University of Michigan, Ann Arbor, Michigan, USA.
Stephen V GliskeDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-2259-2612
William C StaceyDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-8359-8057
University of Michigan · US

Funding

Characterizing High Frequency Oscillations as an epilepsy biomarker with Big Data toolsR01NS094399 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STACEY, WILLIAM CHARLES · 2015 to 2025
$4.1M
Epileptic biomarkers and big data: identifying brain regions to resect in patients with refractory epilepsyK01ES026839 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GLISKE, STEPHEN V · 2015 to 2019
$734k
NIEHS NIH HHS K01 ES026839NINDS NIH HHS R01 NS094399
6 · The paper itself

Abstract

objectiveHigh-frequency oscillations (HFOs) have shown promising utility in the spatial localization of the seizure onset zone for patients with focal refractory epilepsy. Comparatively few studies have addressed potential temporal variations in HFOs, or their role in the preictal period. Here, we introduce a novel evaluation of the instantaneous HFO rate through interictal and peri-ictal epochs to assess their usefulness in identifying imminent seizure onset.

methodsUtilizing an automated HFO detector, we analyzed intracranial electroencephalographic data from 30 patients with refractory epilepsy undergoing long-term presurgical evaluation. We evaluated HFO rates both as a 30-minute average and as a continuous function of time and used nonparametric statistical methods to compare individual and population-level differences in rate during peri-ictal and interictal periods.

resultsMean HFO rate was significantly higher for all epochs in seizure onset zone channels versus other channels. Across the 30 patients of our cohort, we found no statistically significant differences in mean HFO rate during preictal and interictal epochs. For continuous HFO rates in seizure onset zone channels, however, we found significant population-wide increases in preictal trends relative to interictal periods. Using a data-driven analysis, we identified a subset of 11 patients in whom either preictal HFO rates or their continuous trends were significantly increased relative to those of interictal baseline and the rest of the population. SIGNIFICANCE: These results corroborate existing findings that HFO rates within epileptic tissue are higher during interictal periods. We show this finding is also present in preictal, ictal, and postictal data, and identify a novel biomarker of preictal state: an upward trend in HFO rate leading into seizures in some patients. Overall, our findings provide preliminary evidence that HFOs can function as a temporal biomarker of seizure onset.

Indexed as

AdultBrain WavesCohort StudiesDrug Resistant EpilepsyElectrocorticographyFemaleHumansMaleMiddle Agedhigh-frequency oscillationpreictal biomarkerseizure predictiontemporal biomarker

Identifiers

PMID32944942
PMCPMC7722127
OpenAlexW3087401281

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.