Evidence map›Paper›PMID 33875582›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Noninvasive high-frequency oscillations riding spikes delineates epileptogenic sources.

Zhengxiang Cai, Abbas Sohrabpour, Haiteng Jiang, Shuai Ye, Boney Joseph, Benjamin H Brinkmann, Gregory A Worrell, Bin He

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
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  4. Mapping epileptogenic brain using a unified spatial-temporal-spectral source imaging framework.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  7. Deep learning-based EEG source imaging is robust under varying electrode configurations.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Article
  8. High-frequency oscillations >250 Hz in people with Down syndrome and associated Alzheimer's disease dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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

8 authors at 2 institutions in 1 country.

Zhengxiang CaiDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213.ORCID 0000-0002-1998-6442
Abbas SohrabpourDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213.ORCID 0000-0001-5442-9177
Haiteng JiangDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213.
Shuai YeDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213.
Boney JosephDepartment of Neurology and Physiology, Mayo Clinic, Rochester, MN 55905.ORCID 0000-0002-1576-9344
Benjamin H BrinkmannDepartment of Neurology and Physiology, Mayo Clinic, Rochester, MN 55905.
Gregory A WorrellDepartment of Neurology and Physiology, Mayo Clinic, Rochester, MN 55905.
Bin HeDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213; bhe1@andrew.cmu.edu.ORCID 0000-0003-2944-8602
Carnegie Mellon University · USMayo Clinic · US

Funding

Electrophysiological Source Imaging of Partial EpilepsyR01NS096761 · NINDS · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2016 to 2025
$3.6M
Electrophysiological source imaging guided transcranial focused ultrasoundRF1MH114233 · NIMH · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2017 to 2017
$2.4M
Treating pain in sickle cell disease by means of focused ultrasound neuromodulationU18EB029354 · NIBIB · CARNEGIE-MELLON UNIVERSITY · PI HE, BIN · 2019 to 2019
$2.0M
Mind-body awareness training and brain-computer interfaceR01AT009263 · NCCIH · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2016 to 2020
$2.0M
Spatio-temporal Dynamic Imaging of Seizure SourcesR01EB021027 · NIBIB · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2016 to 2020
$1.3M
NCCIH NIH HHS R01 AT009263NIBIB NIH HHS R01 EB021027NIBIB NIH HHS U18 EB029354NIMH NIH HHS RF1 MH114233NINDS NIH HHS R01 NS096761
6 · The paper itself

Abstract

High-frequency oscillations (HFOs) are a promising biomarker for localizing epileptogenic brain and guiding successful neurosurgery. However, the utility and translation of noninvasive HFOs, although highly desirable, is impeded by the difficulty in differentiating pathological HFOs from nonepileptiform high-frequency activities and localizing the epileptic tissue using noninvasive scalp recordings, which are typically contaminated with high noise levels. Here, we show that the consistent concurrence of HFOs with epileptiform spikes (pHFOs) provides a tractable means to identify pathological HFOs automatically, and this in turn demarks an epileptiform spike subgroup with higher epileptic relevance than the other spikes in a cohort of 25 temporal epilepsy patients (including a total of 2,967 interictal spikes and 1,477 HFO events). We found significant morphological distinctions of HFOs and spikes in the presence/absence of this concurrent status. We also demonstrated that the proposed pHFO source imaging enhanced localization of epileptogenic tissue by 162% (∼5.36 mm) for concordance with surgical resection and by 186% (∼12.48 mm) with seizure-onset zone determined by invasive studies, compared to conventional spike imaging, and demonstrated superior congruence with the surgical outcomes. Strikingly, the performance of spike imaging was selectively boosted by the presence of spikes with pHFOs, especially in patients with multitype spikes. Our findings suggest that concurrent HFOs and spikes reciprocally discriminate pathological activities, providing a translational tool for noninvasive presurgical diagnosis and postsurgical evaluation in vulnerable patients.

Indexed as

AdultBiomarkersBrainBrain MappingCohort StudiesElectroencephalographyEpilepsyFemaleHumansImage Processing, Computer-AssistedMagnetoencephalographyMaleMiddle AgedBiomarkerselectrophysiological source imagingelectrophysiologyepilepsyhigh-frequency oscillations

Identifiers

PMID33875582
PMCPMC8092606
OpenAlexW3154153430

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.