Evidence map›Paper›PMID 33723459›Full record

ReviewNature reviews. Neurology2021

Cycles in epilepsy.

Philippa J Karoly, Vikram R Rao, Nicholas M Gregg, Gregory A Worrell, Christophe Bernard, Mark J Cook, Maxime O Baud

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed, 1 pooled it
18.4field-weighted citation impact, top 1% 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

129 citing papers in PubMed, 1 synthesis or guideline pooled it, 268 citations in OpenAlex.

  1. Pooled it
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  16. Enhancing KCC2 function reduces interictal activity and prevents seizures in temporal lobe epilepsy.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  17. Review
  18. Article
  19. Toward Unified Biomarkers for Focal Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  20. Article

69 more citing papers are in PubMed but not listed here.

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

7 authors at 5 institutions in 4 countries.

Philippa J Karoly *Graeme Clark Institute, The University of Melbourne, Melbourne, Victoria, Australia. karoly.p@unimelb.edu.au.ORCID http://orcid.org/0000-0002-9879-5854
Vikram R Rao *Department of Neurology, University of California, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-6389-2638
Nicholas M GreggBioelectronics, Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-6151-043X
Gregory A WorrellBioelectronics, Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0003-2916-0553
Christophe BernardAix Marseille University, Inserm, Institut de Neurosciences des Systèmes, Marseille, France.ORCID http://orcid.org/0000-0003-3014-1966
Mark J CookGraeme Clark Institute, The University of Melbourne, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-8875-4135
Maxime O Baud *Sleep-Wake-Epilepsy Center, Department of Neurology, Inselspital Bern, University Hospital, University of Bern, Bern, Switzerland. maxime.baud.neuro@gmail.com.ORCID http://orcid.org/0000-0002-8297-7696
Mayo Clinic · USThe University of Melbourne · AUInserm · FRUniversity of Bern · CHUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epilepsy is among the most dynamic disorders in neurology. A canonical view holds that seizures, the characteristic sign of epilepsy, occur at random, but, for centuries, humans have looked for patterns of temporal organization in seizure occurrence. Observations that seizures are cyclical date back to antiquity, but recent technological advances have, for the first time, enabled cycles of seizure occurrence to be quantitatively characterized with direct brain recordings. Chronic recordings of brain activity in humans and in animals have yielded converging evidence for the existence of cycles of epileptic brain activity that operate over diverse timescales: daily (circadian), multi-day (multidien) and yearly (circannual). Here, we review this evidence, synthesizing data from historical observational studies, modern implanted devices, electronic seizure diaries and laboratory-based animal neurophysiology. We discuss advances in our understanding of the mechanistic underpinnings of these cycles and highlight the knowledge gaps that remain. The potential clinical applications of a knowledge of cycles in epilepsy, including seizure forecasting and chronotherapy, are discussed in the context of the emerging concept of seizure risk. In essence, this Review addresses the broad question of why seizures occur when they occur.

Indexed as

AnimalsBrainChronobiology PhenomenaCircadian RhythmElectroencephalographyEpilepsyHumansPeriodicitySleep Stages

Identifiers

PMID33723459
OpenAlexW3138016489

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.