Evidence map›Paper›PMID 34165233›Full record

ArticleHuman brain mapping2021

Graph theoretical analysis of evoked potentials shows network influence of epileptogenic mesial temporal region.

Mark A Hays, Christopher Coogan, Nathan E Crone, Joon Y Kang

Abstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. 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
  6. Review
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  10. Cortico-cortical evoked potentials in response to varying stimulation intensity improves seizure localization.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023
    Article
  11. Article
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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

4 authors.

Mark A HaysDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0001-7800-9302
Christopher CooganDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Nathan E CroneDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Joon Y KangDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

Diagnostic validity and safety of high-gamma language mapping with intracranial EEGR01NS115929 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Ravindra Arya, NATHAN E CRONE · 2020 to 2026
$3.9M
Temporal-spatial mapping of cortical networks important for human cognitionR01NS091139 · NINDS · JOHNS HOPKINS UNIVERSITY · PI CRONE, NATHAN E · 2015 to 2019
$1.8M
NINDS NIH HHS R01 NS091139NINDS NIH HHS R01NS091139NINDS NIH HHS R01 NS115929
6 · The paper itself

Abstract

It is now widely accepted that seizures arise from the coordinated activity of epileptic networks, and as a result, traditional methods of analyzing seizures have been augmented by techniques like single-pulse electrical stimulation (SPES) that estimate effective connectivity in brain networks. We used SPES and graph analytics in 18 patients undergoing intracranial EEG monitoring to investigate effective connectivity between recording sites within and outside mesial temporal structures. We compared evoked potential amplitude, network density, and centrality measures inside and outside the mesial temporal region (MTR) across three patient groups: focal epileptogenic MTR, multifocal epileptogenic MTR, and non-epileptogenic MTR. Effective connectivity within the MTR had significantly greater magnitude (evoked potential amplitude) and network density, regardless of epileptogenicity. However, effective connectivity between MTR and surrounding non-epileptogenic regions was of greater magnitude and density in patients with focal epileptogenic MTR compared to patients with multifocal epileptogenic MTR and those with non-epileptogenic MTR. Moreover, electrodes within focal epileptogenic MTR had significantly greater outward network centrality compared to electrodes outside non-epileptogenic regions and to multifocal and non-epileptogenic MTR. Our results indicate that the MTR is a robustly connected subnetwork that can exert an overall elevated propagative influence over other brain regions when it is epileptogenic. Understanding the underlying effective connectivity and roles of epileptogenic regions within the larger network may provide insights that eventually lead to improved surgical outcomes.

Indexed as

AdultConnectomeElectrocorticographyEpilepsy, Temporal LobeEvoked PotentialsFemaleHumansMaleMiddle AgedYoung Adultevoked potentialgraph theoryintracranial EEGmesial temporal lobe epilepsysingle-pulse electrical stimulation

Identifiers

PMID34165233
PMCPMC8356982

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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.