Evidence map›Paper›PMID 38384998›Full record

ArticleBrain communications2024

High frequency oscillation network dynamics predict outcome in non-palliative epilepsy surgery.

Jack Lin, Garnett C Smith, Stephen V Gliske, Michal Zochowski, Kerby Shedden, William C Stacey

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 17 citations in OpenAlex.

  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. Article
  5. Review
  6. Epileptogenicity alters intrahippocampal ripple propagation.medRxiv : the preprint server for health sciences · 2026
    Article
  7. Optimization of cortico-cortical spectral response analysis parameters for seizure onset zone localization.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Can brain network analyses guide epilepsy surgery?Current opinion in neurology · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. 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

6 authors at 2 institutions in 1 country.

Jack LinNeuroscience Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA.
Garnett C SmithDepartment of Pediatrics, University of Michigan, Ann Arbor, MI 48109, USA.
Stephen V GliskeDepartment of Neurosurgery, University of Nebraska Medical Center, Omaha, NE 68198, USA.ORCID https://orcid.org/0000-0002-2259-2612
Michal ZochowskiNeuroscience Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA.
Kerby SheddenDepartment of Statistics and Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
William C StaceyDepartment of Neurology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID https://orcid.org/0000-0002-8359-8057
University of Michigan · USUniversity of Nebraska Medical Center · 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
Early Stage Training in the NeurosciencesT32NS076401 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Carol Fuzeti Elias, LESLIE S. SATIN · 2011 to 2026
$3.1M
NINDS NIH HHS R01 NS094399NINDS NIH HHS T32 NS076401
6 · The paper itself

Abstract

High frequency oscillations are a promising biomarker of outcome in intractable epilepsy. Prior high frequency oscillation work focused on counting high frequency oscillations on individual channels, and it is still unclear how to translate those results into clinical care. We show that high frequency oscillations arise as network discharges that have valuable properties as predictive biomarkers. Here, we develop a tool to predict patient outcome before surgical resection is performed, based on only prospective information. In addition to determining high frequency oscillation rate on every channel, we performed a correlational analysis to evaluate the functional connectivity of high frequency oscillations in 28 patients with intracranial electrodes. We found that high frequency oscillations were often not solitary events on a single channel, but part of a local network discharge. Eigenvector and outcloseness centrality were used to rank channel importance within the connectivity network, then used to compare patient outcome by comparison with the seizure onset zone or a proportion within the proposed resected channels (critical resection percentage). Combining the knowledge of each patient's seizure onset zone resection plan along with our computed high frequency oscillation network centralities and high frequency oscillation rate, we develop a Naïve Bayes model that predicts outcome (positive predictive value: 100%) better than predicting based upon fully resecting the seizure onset zone (positive predictive value: 71%). Surgical margins had a large effect on outcomes: non-palliative patients in whom most of the seizure onset zone was resected ('definitive surgery', ≥ 80% resected) had predictable outcomes, whereas palliative surgeries (<80% resected) were not predictable. These results suggest that the addition of network properties of high frequency oscillations is more accurate in predicting patient outcome than seizure onset zone alone in patients with most of the seizure onset zone removed and offer great promise for informing clinical decisions in surgery for refractory epilepsy.

Indexed as

centralityEEGepilepsyHFOnetwork

Identifiers

PMID38384998
PMCPMC10881100
OpenAlexW4391593988

What OpenQuestion holds

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LicenceCC BY
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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.