Evidence map›Paper›PMID 34919741›Full record

ArticleEpilepsia2022

Correcting for physiological ripples improves epileptic focus identification and outcome prediction.

Willemiek J E M Zweiphenning, Nicolás von Ellenrieder, François Dubeau, Laurence Martineau, Lorella Minotti, Jeffery A Hall, Stephan Chabardes, Roy Dudley, Philippe Kahane, Jean Gotman and 1 more

Abstract read
In one paragraph

Article in Epilepsia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. Epileptogenicity alters intrahippocampal ripple propagation.medRxiv : the preprint server for health sciences · 2026
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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

11 authors.

Willemiek J E M ZweiphenningMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-0720-7878
Nicolás von EllenriederMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
François DubeauMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Laurence MartineauDepartment of Neurology, Grenoble-Alpes University Hospital and Grenoble-Alpes University, Grenoble, France.
Lorella MinottiDepartment of Neurology, Grenoble-Alpes University Hospital and Grenoble-Alpes University, Grenoble, France.
Jeffery A HallMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Stephan ChabardesDepartment of Neurosurgery, Grenoble-Alpes University Hospital and Grenoble-Alpes University, Grenoble, France.
Roy DudleyMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Philippe KahaneDepartment of Neurology, Grenoble-Alpes University Hospital and Grenoble-Alpes University, Grenoble, France.
Jean GotmanMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Birgit FrauscherMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.

Funding

CIHR FDN-143208
6 · The paper itself

Abstract

objectiveThe integration of high-frequency oscillations (HFOs; ripples [80-250 Hz], fast ripples [250-500 Hz]) in epilepsy evaluation is hampered by physiological HFOs, which cannot be reliably differentiated from pathological HFOs. We evaluated whether defining abnormal HFO rates by statistical comparison to region-specific physiological HFO rates observed in the healthy brain improves identification of the epileptic focus and surgical outcome prediction.

methodsWe detected HFOs in 151 consecutive patients who underwent stereo-electroencephalography and subsequent resective epilepsy surgery at two tertiary epilepsy centers. We compared how HFOs identified the resection cavity and predicted seizure-free outcome using two thresholds from the literature (HFO rate > 1/min; 50% of the total number of a patient's HFOs) and three thresholds based on normative rates from the Montreal Neurological Institute Open iEEG Atlas (https://mni-open-ieegatlas. RESEARCH: mcgill.ca/): global Atlas threshold, regional Atlas threshold, and regional + 10% threshold after regional Atlas correction.

resultsUsing ripples, the regional + 10% threshold performed best for focus identification (77.3% accuracy, 27% sensitivity, 97.1% specificity, 80.6% positive predictive value [PPV], 78.2% negative predictive value [NPV]) and outcome prediction (69.5% accuracy, 58.6% sensitivity, 76.3% specificity, 60.7% PPV, 74.7% NPV). This was an improvement for focus identification (+1.1% accuracy, +17.0% PPV; p < .001) and outcome prediction (+12.0% sensitivity, +1.0% PPV; p = .05) compared to the 50% threshold. The improvement was particularly marked for foci in cortex, where physiological ripples are frequent (outcome: +35.3% sensitivity, +5.3% PPV; p = .014). In these cases, the regional + 10% threshold outperformed fast ripple rate > 1/min (+3.6% accuracy, +26.5% sensitivity, +21.6% PPV; p < .001) and seizure onset zone (+13.5% accuracy, +29.4% sensitivity, +17.0% PPV; p < .05-.01) for outcome prediction. Normalization did not improve the performance of fast ripples. SIGNIFICANCE: Defining abnormal HFO rates by statistical comparison to rates in healthy tissue overcomes an important weakness in the clinical use of ripples. It improves focus identification and outcome prediction compared to standard HFO measures, increasing their clinical applicability.

Indexed as

EpilepsyBrainBrain MappingElectroencephalographyHumansSeizuresbiomarkerepilepsy surgeryhigh-frequency oscillationsinterictalnormative values

Identifiers

PMID34919741
PMCPMC9300035

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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.