Evidence map›Paper›PMID 31855828›Full record

ReviewEpilepsy research2020

Emerging roles of network analysis for epilepsy.

William Stacey, Mark Kramer, Kristin Gunnarsdottir, Jorge Gonzalez-Martinez, Kareem Zaghloul, Sara Inati, Sridevi Sarma, Jennifer Stiso, Ankit N Khambhati, Danielle S Bassett and 4 more

Abstract readReview
In one paragraph

Review in Epilepsy research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–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

30 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Toward Unified Biomarkers for Focal Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  5. Infantile epileptic spasms syndrome: Mechanisms and therapeutic approaches.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  6. Biomarkers for Epilepsy Deep Brain Stimulation.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2025
    Review
  7. Article
  8. Article
  9. Computational EEG attributes predict response to therapy for epileptic spasms.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

14 authors.

William StaceyDepartment of Neurology, Department of Biomedical Engineering, University of Michigan, United States. Electronic address: William.stacey@umich.edu.
Mark KramerDepartment of Mathematics and Statistics, Center of Systems Neuroscience, Boston University, United States.
Kristin GunnarsdottirDepartment of Biomedical Engineering, Johns Hopkins University, United States.
Jorge Gonzalez-MartinezDepartment of Neurological Surgery, University of Pittsburgh, United States.
Kareem ZaghloulSurgical Neurology Branch, National Institute of Neurological Disorders and Stroke, NIH, United States.
Sara InatiOffice of the Clinical Director, National Institute of Neurological Disorders and Stroke, NIH, United States.
Sridevi SarmaDepartment of Neurology, Department of Biomedical Engineering, University of Michigan, United States.
Jennifer StisoDepartment of Bioengineering, University of Pennsylvania, United States.
Ankit N KhambhatiDepartment of Bioengineering, University of Pennsylvania, United States.
Danielle S BassettDepartment of Bioengineering, University of Pennsylvania, United States.
Rachel J SmithDepartment of Biomedical Engineering, University of California, Irvine, United States.
Virginia B LiuDepartment of Pediatrics, University of California, Irvine, United States; Department of Child Neurology, Children's Hospital of Orange County, CA, United States.
Beth A LopourDepartment of Biomedical Engineering, University of California, Irvine, United States.
Richard StabaDepartment of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.

Funding

Investigating the neural mechanisms of human cognitive function through intracranial recordingsZIANS003144 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI ZAGHLOUL, KAREEM · 2014 to 2025
$36.1M
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
Defining the Epileptogenic Network and Identifying Which Components Generate SeizuresR01NS106957 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Richard Staba · 2018 to 2026
$3.4M
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
Virtual Resection to Treat EpilepsyR01NS099348 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, LITT, BRIAN · 2016 to 2019
$2.3M
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
CRCNS: Dynamic network analysis of human seizures for therapeutic interventionR01NS095369 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CASH, SYDNEY S, KOLACZYK, ERIC D · 2015 to 2017
$950k
Using Feedback Control to Suppress Seizure Genesis in EpilepsyR21NS103113 · NINDS · JOHNS HOPKINS UNIVERSITY · PI SARMA, SRIDEVI V. · 2018 to 2019
$419k
NIGMS NIH HHS K12 GM123914NINDS NIH HHS R01 NS094399NINDS NIH HHS R01 NS095369NINDS NIH HHS R01 NS099348NINDS NIH HHS R01 NS106957NINDS NIH HHS R01 NS122927NINDS NIH HHS R21 NS103113
6 · The paper itself

Abstract

In recent years there has been increasing interest in applying network science tools to EEG data. At the 2018 American Epilepsy Society conference in New Orleans, LA, the yearly session of the Engineering and Neurostimulation Special Interest Group focused on emerging, translational technologies to analyze seizure networks. Each speaker demonstrated practical examples of how network tools can be utilized in clinical care and provide additional data to help care for patients with intractable epilepsy. The groups presented advances using tools from functional connectivity, control theory, and graph theory to analyze human EEG data. These tools have great potential to augment clinical interpretation of EEG signals.

Indexed as

BrainBrain MappingElectroencephalographyEpilepsyHumansNerve NetControl theoryEEGFunctional connectivityGraph theoryInfantile spasmsNetwork analysis

Identifiers

PMID31855828
PMCPMC6990460

What OpenQuestion holds

Textmetadata
LicenceTDM
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.