Evidence map›Paper›PMID 31553044›Full record

ArticleBrain : a journal of neurology2019

Magnetoencephalography imaging of high frequency oscillations strengthens presurgical localization and outcome prediction.

Jayabal Velmurugan, Srikantan S Nagarajan, Narayanan Mariyappa, Ravindranadh C Mundlamuri, Kenchaiah Raghavendra, Rose Dawn Bharath, Jitender Saini, Arimappamagan Arivazhagan, Jamuna Rajeswaran, Anita Mahadevan and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
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

22 citing papers in PubMed, 48 citations in OpenAlex.

  1. 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
    Article
  2. Article
  3. Article
  4. Review
  5. Magnetoencephalography for Epilepsy Presurgical Evaluation.Current neurology and neuroscience reports · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Localizing the Epileptogenic Zone with Novel Biomarkers.Seminars in pediatric neurology · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Noninvasive high-frequency oscillations riding spikes delineates epileptogenic sources.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Review
  18. Article
  19. Scalp ripples as prognostic biomarkers of epileptogenicity in pediatric surgery.Annals of clinical and translational neurology · 2020
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 2 countries.

Jayabal VelmuruganDepartment of Clinical Neurosciences, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
Srikantan S NagarajanDepartment of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, USA.
Narayanan MariyappaMEG Research Center, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
Ravindranadh C MundlamuriDepartment of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
Kenchaiah RaghavendraDepartment of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
Rose Dawn BharathDepartment of NIIR, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
Jitender SainiDepartment of NIIR, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
Arimappamagan ArivazhaganDepartment of Neurosurgery, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
Jamuna RajeswaranDepartment of Neuropsychology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
Anita MahadevanDepartment of Pathology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
Bhaskara Rao MallaDepartment of Neurosurgery, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
Parthasarathy SatishchandraMEG Research Center, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
Sanjib SinhaMEG Research Center, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
National Institute of Mental Health and Neurosciences · INUniversity of California, San Francisco · US

Funding

Dynamic Brain Imaging of Speech in Primary Progressive AphasiaR01NS100440 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARIA LUISA GORNO TEMPINI, John Francis Houde · 2017 to 2026
$3.6M
Network Modelling of Multimodal Dynamics in Alzheimer’s Disease and DementiaRF1AG062196 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NAGARAJAN, SRIKANTAN S., RAJ, ASHISH · 2019 to 2019
$3.0M
Imaging sensorimotor adaptation and compensation of speechR01DC013979 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOUDE, JOHN FRANCIS, NAGARAJAN, SRIKANTAN S. · 2014 to 2018
$1.7M
Multimodal modeling framework for fusing structural and functional connectome dataR01EB022717 · NIBIB · WEILL MEDICAL COLL OF CORNELL UNIV · PI NAGARAJAN, SRIKANTAN S., RAJ, ASHISH · 2016 to 2018
$1.6M
NIA NIH HHS RF1 AG062196NIBIB NIH HHS R01 EB022717NIDCD NIH HHS R01 DC013979NINDS NIH HHS R01 NS100440
6 · The paper itself

Abstract

In patients with medically refractory epilepsy, resective surgery is the mainstay of therapy to achieve seizure freedom. However, ∼20-50% of cases have intractable seizures post-surgery due to the imprecise determination of epileptogenic zone. Recent intracranial studies suggest that high frequency oscillations between 80 and 200 Hz could serve as one of the consistent epileptogenicity biomarkers for localization of the epileptogenic zone. However, these high frequency oscillations are not adopted in the clinical setting because of difficult non-invasive detection. Here, we investigated non-invasive detection and localization of high frequency oscillations and its clinical utility in accurate pre-surgical assessment and post-surgical outcome prediction. We prospectively recruited 52 patients with medically refractory epilepsy who underwent standard pre-surgical workup including magnetoencephalography (MEG) followed by resective surgery after determination of the epileptogenic zone. The post-surgical outcome was assessed after 22.14 ± 10.05 months. Interictal epileptic spikes were expertly identified, and interictal epileptic oscillations across the neural activity frequency spectrum from 8 to 200 Hz were localized using adaptive spatial filtering methods. Localization results were compared with epileptogenic zone and resected cortex for congruence assessment and validated against the clinical outcome. The concordance rate of high frequency oscillations sources (80-200 Hz) with the presumed epileptogenic zone and the resected cortex were 75.0% and 78.8%, respectively, which is superior to that of other frequency bands and standard dipole fitting methods. High frequency oscillation sources corresponding with the resected cortex, had the best sensitivity of 78.0%, positive predictive value of 100% and an accuracy of 78.84% to predict the patient's surgical outcome, among all other frequency bands. If high frequency oscillation sources were spatially congruent with resected cortex, patients had an odds ratio of 5.67 and 82.4% probability of achieving a favourable surgical outcome. If high frequency oscillations sources were discordant with the epileptogenic zone or resection area, patient has an odds ratio of 0.18 and only 14.3% probability of achieving good outcome, and mostly tended to have an unfavourable outcome (χ2 = 5.22; P = 0.02; φ = -0.317). In receiver operating characteristic curve analyses, only sources of high-frequency oscillations demonstrated the best sensitivity and specificity profile in determining the patient's surgical outcome with area under the curve of 0.76, whereas other frequency bands indicate a poor predictive performance. Our study is the first non-invasive study to detect high frequency oscillations, address the efficacy of high frequency oscillations over the different neural oscillatory frequencies, localize them and clinically validate them with the post-surgical outcome in patients with medically refractory epilepsy. The evidence presented in the current study supports the fact that HFOs might significantly improve the presurgical assessment, and post-surgical outcome prediction, where it could widely be used in a clinical setting as a non-invasive biomarker.

Indexed as

AdolescentAdultBiomarkersBrain MappingCerebral CortexCohort StudiesDrug Resistant EpilepsyFemaleHumansMagnetic Resonance ImagingMagnetoencephalographyMaleNeuroimagingNeurosurgical ProceduresPredictive Value of TestsProspective StudiesBiomarkersbiomarkerhigh frequency oscillationmagnetoencephalographyripplesurgical outcome

Identifiers

PMID31553044
PMCPMC6892422
OpenAlexW2975525520

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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.