Evidence map›Paper›PMID 37002980›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2023

Spike height improves prediction of future seizure risk.

D M Chinappen, G Xiao, J Jing, E R Spencer, U T Eden, M A Kramer, M B Westover, C J Chu

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 5 institutions in 1 country.

D M ChinappenMassachusetts General Hospital, Department of Neurology, Boston, MA 02114, USA; Graduate Program for Neuroscience, Boston University, Boston, MA, USA; Department of Mathematics and Statistics, and Center for Systems Neuroscience, Boston University, Boston, MA, USA. Electronic address: dchinappen@mgh.harvard.edu.
G XiaoMassachusetts General Hospital, Department of Neurology, Boston, MA 02114, USA; Johns Hopkins University School of Medicine, Baltimore, MD, USA; Harvard University, Cambridge, MA, USA. Electronic address: gxiao3@mgh.harvard.edu.
J JingMassachusetts General Hospital, Department of Neurology, Boston, MA 02114, USA; Harvard Medical School, Boston, MA, USA. Electronic address: jjing@partners.org.
E R SpencerMassachusetts General Hospital, Department of Neurology, Boston, MA 02114, USA; Graduate Program for Neuroscience, Boston University, Boston, MA, USA. Electronic address: erss@bu.edu.
U T EdenDepartment of Mathematics and Statistics, and Center for Systems Neuroscience, Boston University, Boston, MA, USA. Electronic address: tzvi@bu.edu.
M A KramerDepartment of Mathematics and Statistics, and Center for Systems Neuroscience, Boston University, Boston, MA, USA. Electronic address: mak@bu.edu.
M B WestoverMassachusetts General Hospital, Department of Neurology, Boston, MA 02114, USA; Harvard Medical School, Boston, MA, USA. Electronic address: mwestover@mgh.harvard.edu.
C J ChuMassachusetts General Hospital, Department of Neurology, Boston, MA 02114, USA; Harvard Medical School, Boston, MA, USA. Electronic address: cjchu@mgh.harvard.edu.
Harvard University · USBoston University · USCenter for Systems Biology · USHarvard University Press · USMassachusetts General Hospital · US

Funding

Focal Thalamocortical Circuit Dysfunction Mediates Motor and Cognitive Deficits in Developmental EpilepsyR01NS115868 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CHU, CATHERINE J · 2020 to 2024
$3.4M
NINDS NIH HHS R01 NS115868
6 · The paper itself

Abstract

objectiveWe evaluated whether interictal epileptiform discharge (IED) rate and morphological characteristics predict seizure risk.

methodsWe evaluated 10 features from automatically detectable IEDs in a stereotyped population with self-limited epilepsy with centrotemporal spikes (SeLECTS). We tested whether the average value or the most extreme values from each feature predicted future seizure risk in cross-sectional and longitudinal models.

results10,748 individual centrotemporal IEDs were analyzed from 59 subjects at 81 timepoints. In cross-sectional models, increases in average spike height, spike duration, slow wave rising slope, slow wave falling slope, and the most extreme values of slow wave rising slope each improved prediction of an increased risk of a future seizure compared to a model with age alone (p < 0.05, each). In longitudinal model, spike rising height improved prediction of future seizure risk compared to a model with age alone (p = 0.04)

conclusionsSpike height improves prediction of future seizure risk in SeLECTS. Several other morphological features may also improve prediction and should be explored in larger studies. SIGNIFICANCE: Discovery of a relationship between novel IED features and seizure risk may improve clinical prognostication, visual and automated IED detection strategies, and provide insights into the underlying neuronal mechanisms that contribute to IED pathology.

Indexed as

ElectroencephalographyEpilepsyCross-Sectional StudiesForecastingHumansSeizuresElectroencephalography (EEG) biomarkerInterictal epileptiform dischargesRolandic epilepsySelf-limited epilepsy with centrotmporal spikes (SeLECTS)

Identifiers

PMID37002980
PMCPMC10192090
OpenAlexW4328098487

What OpenQuestion holds

Textmetadata
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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.