Evidence map›Paper›PMID 35703986›Full record

ArticleBrain : a journal of neurology2022

Stimulating native seizures with neural resonance: a new approach to localize the seizure onset zone.

Rachel J Smith, Mark A Hays, Golnoosh Kamali, Christopher Coogan, Nathan E Crone, Joon Y Kang, Sridevi V Sarma

Open access · hybridAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. A guide to neuromodulation in drug-resistant epilepsy.Epileptic disorders : international epilepsy journal with videotape · 2026
    Review
  3. Adaptation modulates effective connectivity and network stability.Frontiers in computational neuroscience · 2026
    Article
  4. Can electrical stimulation replace spontaneous seizures in epilepsy surgery?medRxiv : the preprint server for health sciences · 2025
    Article
  5. Article
  6. Review
  7. Network excitability of stimulation-induced spectral responses helps localize the seizure onset zone.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Rachel J SmithDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0001-7142-0684
Mark A HaysDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0001-7800-9302
Golnoosh KamaliInstitute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA.
Christopher CooganDepartment of Neurology, Johns Hopkins University, Baltimore, MD 21287, USA.
Nathan E CroneDepartment of Neurology, Johns Hopkins University, Baltimore, MD 21287, USA.
Joon Y KangDepartment of Neurology, Johns Hopkins University, Baltimore, MD 21287, USA.
Sridevi V SarmaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Johns Hopkins University · US

Funding

EEG Biomarkers Derived from Dynamical Network Models Enable Rapid Paths to Accurate Diagnosis and Effective Treatment of EpilepsyR35NS132228 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Sridevi V. Sarma · 2023 to 2026
$2.6M
ASPIRE - A Joint Johns Hopkins, Morgan State and Coppin State IRACDA ProgramK12GM123914 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BROWN, LISA D., SARMA, SRIDEVI V. · 2018 to 2022
$2.5M
CRCNS: Following the BOLD lightening at rest strikes the seizure onset zone!R01NS125897 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BOERWINKLE, VARINA · 2021 to 2025
$1.7M
Establishing novel properties of dynamic systems models to identify epileptogenic networks in patients with drug resistant epilepsyR01NS122927 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Jorge Alvaro Gonzalez-Martinez, Sridevi V. Sarma · 2022 to 2026
$1.3M
NIGMS NIH HHS K12 GM123914NINDS NIH HHS R01 NS122927NINDS NIH HHS R01 NS125897NINDS NIH HHS R35 NS132228
6 · The paper itself

Abstract

Successful outcomes in epilepsy surgery rely on the accurate localization of the seizure onset zone. Localizing the seizure onset zone is often a costly and time-consuming process wherein a patient undergoes intracranial EEG monitoring, and a team of clinicians wait for seizures to occur. Clinicians then analyse the intracranial EEG before each seizure onset to identify the seizure onset zone and localization accuracy increases when more seizures are captured. In this study, we develop a new approach to guide clinicians to actively elicit seizures with electrical stimulation. We propose that a brain region belongs to the seizure onset zone if a periodic stimulation at a particular frequency produces large amplitude oscillations in the intracranial EEG network that propagate seizure activity. Such responses occur when there is 'resonance' in the intracranial EEG network, and the resonant frequency can be detected by observing a sharp peak in the magnitude versus frequency response curve, called a Bode plot. To test our hypothesis, we analysed single-pulse electrical stimulation response data in 32 epilepsy patients undergoing intracranial EEG monitoring. For each patient and each stimulated brain region, we constructed a Bode plot by estimating a transfer function model from the intracranial EEG 'impulse' or single-pulse electrical stimulation response. The Bode plots were then analysed for evidence of resonance. First, we showed that when Bode plot features were used as a marker of the seizure onset zone, it distinguished successful from failed surgical outcomes with an area under the curve of 0.83, an accuracy that surpassed current methods of analysis with cortico-cortical evoked potential amplitude and cortico-cortical spectral responses. Then, we retrospectively showed that three out of five native seizures accidentally triggered in four patients during routine periodic stimulation at a given frequency corresponded to a resonant peak in the Bode plot. Last, we prospectively stimulated peak resonant frequencies gleaned from the Bode plots to elicit seizures in six patients, and this resulted in an induction of three seizures and three auras in these patients. These findings suggest neural resonance as a new biomarker of the seizure onset zone that can guide clinicians in eliciting native seizures to more quickly and accurately localize the seizure onset zone.

Indexed as

Drug Resistant EpilepsyEpilepsyBrainElectrocorticographyElectroencephalographyHumansRetrospective StudiesSeizurescortico-cortical evoked potentialsdynamical network modelseizure inductionsingle-pulse electrical stimulationsurgical outcome

Identifiers

PMID35703986
PMCPMC10200285
OpenAlexW4282961622

What OpenQuestion holds

Textmetadata
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.