Evidence map›Paper›PMID 36780237›Full record

ArticleEpilepsia2023

Seizure forecasting: Where do we stand?

Ralph G Andrzejak, Hitten P Zaveri, Andreas Schulze-Bonhage, Marc G Leguia, William C Stacey, Mark P Richardson, Levin Kuhlmann, Klaus Lehnertz

Open access · hybridAbstract read
In one paragraph

Article in Epilepsia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  6. Article
  7. Epileptiform Activity and Seizure Risk Follow Long-Term Non-Linear Attractor Dynamics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  8. Seizure Detection Devices.Journal of clinical medicine · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. 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

8 authors at 7 institutions in 5 countries.

Ralph G AndrzejakDepartment of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.ORCID 0000-0002-7400-2098
Hitten P ZaveriDepartment of Neurology, Yale University, New Haven, Connecticut, USA.ORCID 0000-0001-7830-0052
Andreas Schulze-BonhageEpilepsy Center, Neurocenter, University Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0000-0003-2382-0506
Marc G LeguiaDepartment of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.ORCID 0000-0003-0979-6458
William C StaceyDepartment of Neurology, Department of Biomedical Engineering, BioInterfaces Institute, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-8359-8057
Mark P RichardsonSchool of Neuroscience, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0001-8925-3140
Levin KuhlmannDepartment of Data Science and AI, Faculty of Information Technology, Monash University, Clayton, Victoria, Australia.ORCID 0000-0002-5108-6348
Klaus LehnertzDepartment of Epileptology, University of Bonn Medical Centre, Bonn, Germany.ORCID 0000-0002-5529-8559
Universitat Pompeu Fabra · ESKing's College London · GBMonash University · AUUniversity of Bonn · DEUniversity of Freiburg · DEUniversity of Michigan · USYale University · US

Funding

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
Network analysis for epilepsy surgeryR01NS109062 · NINDS · YALE UNIVERSITY · PI EID, TORE, ZAVERI, HITTEN P · 2019 to 2022
$1.5M
Medical Research Council MR/N026063/1NIH HHS NIH NS094399NIH HHS NIH NS109062NINDS NIH HHS R01 NS094399NINDS NIH HHS R01 NS109062
6 · The paper itself

Abstract

A lot of mileage has been made recently on the long and winding road toward seizure forecasting. Here we briefly review some selected milestones passed along the way, which were discussed at the International Conference for Technology and Analysis of Seizures-ICTALS 2022-convened at the University of Bern, Switzerland. Major impetus was gained recently from wearable and implantable devices that record not only electroencephalography, but also data on motor behavior, acoustic signals, and various signals of the autonomic nervous system. This multimodal monitoring can be performed for ultralong timescales covering months or years. Accordingly, features and metrics extracted from these data now assess seizure dynamics with a greater degree of completeness. Most prominently, this has allowed the confirmation of the long-suspected cyclical nature of interictal epileptiform activity, seizure risk, and seizures. The timescales cover daily, multi-day, and yearly cycles. Progress has also been fueled by approaches originating from the interdisciplinary field of network science. Considering epilepsy as a large-scale network disorder yielded novel perspectives on the pre-ictal dynamics of the evolving epileptic brain. In addition to discrete predictions that a seizure will take place in a specified prediction horizon, the community broadened the scope to probabilistic forecasts of a seizure risk evolving continuously in time. This shift of gears triggered the incorporation of additional metrics to quantify the performance of forecasting algorithms, which should be compared to the chance performance of constrained stochastic null models. An imminent task of utmost importance is to find optimal ways to communicate the output of seizure-forecasting algorithms to patients, caretakers, and clinicians, so that they can have socioeconomic impact and improve patients' well-being.

Indexed as

EpilepsySeizuresBrainElectroencephalographyForecastingHumansmonitoring devicesmultimodal monitoringnetwork theory of epilepsyquality of lifeseizure controlseizure cyclesseizure predictionseizure riskwearables

Identifiers

PMID36780237
PMCPMC10423299
OpenAlexW4320484884

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.