Evidence map›Paper›PMID 38997606›Full record

ArticleNature medicine2024

Hippocampal network activity forecasts epileptic seizures.

Ankit N Khambhati, Edward F Chang, Maxime O Baud, Vikram R Rao

Abstract read
PubMed Publisher
In one paragraph

Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. A guide to neuromodulation in drug-resistant epilepsy.Epileptic disorders : international epilepsy journal with videotape · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Stronger pre-surgical functional connectivity networks are associated with improved surgical outcome in temporal lobe epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Article
  11. Article
  12. Article
  13. Massive Activation of GABABiomolecules · 2025
    Review
  14. Review
  15. Can brain network analyses guide epilepsy surgery?Current opinion in neurology · 2025
    Review
  16. Article
  17. Seizure prediction and forecasting: a scoping review.Current opinion in neurology · 2025
    Article
  18. Long-Term Ambulatory Intracranial EEG.Stereotactic and functional neurosurgery · 2025
    Review
  19. 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

4 authors.

Ankit N KhambhatiDepartment of Neurological Surgery and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-6182-4677
Edward F ChangDepartment of Neurological Surgery and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-2480-4700
Maxime O Baud *Center for Experimental Neurology, Sleep-Wake Epilepsy Center, NeuroTec, Department of Neurology, Inselspital, University Hospital Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0002-8297-7696
Vikram R Rao *Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA. Vikram.Rao@ucsf.edu.ORCID http://orcid.org/0000-0002-6389-2638

Funding

Biomarkers to Predict Outcome from Responsive Brain Stimulation for EpilepsyR61NS125568 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVIS, KATHRYN ADAMIAK · 2023 to 2025
$3.6M
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) Eccellenza 203339U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R61 NS125568-01A1
6 · The paper itself

Abstract

Seizures in people with epilepsy were long thought to occur at random, but recent methods for seizure forecasting enable estimation of the likelihood of seizure occurrence over short horizons. These methods rely on days-long cyclical patterns of brain electrical activity and other physiological variables that determine seizure likelihood and that require measurement through long-term, multimodal recordings. In this retrospective cohort study of 15 adults with bitemporal epilepsy who had a device that provides chronic intracranial recordings, functional connectivity of hippocampal networks fluctuated in multiday cycles with patterns that mirrored cycles of seizure likelihood. A functional connectivity biomarker of seizure likelihood derived from 90-s recordings of background hippocampal activity generalized across individuals and forecasted 24-h seizure likelihood as accurately as cycle-based models requiring months-long baseline recordings. Larger, prospective studies are needed to validate this approach, but our results have the potential to make reliable seizure forecasts accessible to more people with epilepsy.

Indexed as

HippocampusSeizuresAdultElectroencephalographyEpilepsyFemaleHumansMaleMiddle AgedNerve NetRetrospective StudiesYoung Adult

Identifiers

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.