Evidence map›Paper›PMID 25386160›Full record

ArticleFrontiers in neurology2014

The dynamics of the epileptic brain reveal long-memory processes.

Mark J Cook, Andrea Varsavsky, David Himes, Kent Leyde, Samuel Frank Berkovic, Terence O'Brien, Iven Mareels

Abstract read
In one paragraph

Article in Frontiers in neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. A Bayesian switching linear dynamical system for estimating seizure chronotypes.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Cycles in epilepsy.Nature reviews. Neurology · 2021
    Review
  12. Article
  13. Article
  14. Review
  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

7 authors.

Mark J CookDepartment of Medicine, St. Vincent's Hospital, University of Melbourne , Fitzroy, VIC , Australia.
Andrea VarsavskyDepartment of Electrical and Electronic Engineering, University of Melbourne , Fitzroy, VIC , Australia.
David HimesNeurovista Corporation , Seattle, WA , USA.
Kent LeydeNeurovista Corporation , Seattle, WA , USA.
Samuel Frank BerkovicDepartment of Medicine, Austin and Repatriation Medical Centre, University of Melbourne , Fitzroy, VIC , Australia.
Terence O'BrienDepartment of Medicine, Royal Melbourne Hospital, University of Melbourne , Fitzroy, VIC , Australia.
Iven MareelsDepartment of Electrical and Electronic Engineering, University of Melbourne , Fitzroy, VIC , Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pattern of epileptic seizures is often considered unpredictable and the interval between events without correlation. A number of studies have examined the possibility that seizure activity respects a power-law relationship, both in terms of event magnitude and inter-event intervals. Such relationships are found in a variety of natural and man-made systems, such as earthquakes or Internet traffic, and describe the relationship between the magnitude of an event and the number of events. We postulated that human inter-seizure intervals would follow a power-law relationship, and furthermore that evidence for the existence of a long-memory process could be established in this relationship. We performed a post hoc analysis, studying eight patients who had long-term (up to 2 years) ambulatory intracranial EEG data recorded as part of the assessment of a novel seizure prediction device. We demonstrated that a power-law relationship could be established in these patients (β = - 1.5). In five out of the six subjects whose data were sufficiently stationary for analysis, we found evidence of long memory between epileptic events. This memory spans time scales from 30 min to 40 days. The estimated Hurst exponents range from 0.51 to 0.77 ± 0.01. This finding may provide evidence of phase-transitions underlying the dynamics of epilepsy.

Indexed as

epilepsylong-range memoryneural dynamics in cortical networkspower-law phenomenaseizure clustering

Identifiers

PMID25386160
PMCPMC4208412

What OpenQuestion 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 OpenQuestion graph.