Evidence map›Paper›PMID 35968272›Full record

ReviewFrontiers in neurology2022

EEG biomarkers for the diagnosis and treatment of infantile spasms.

Blanca Romero Milà, Kavyakantha Remakanthakurup Sindhu, John R Mytinger, Daniel W Shrey, Beth A Lopour

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Inter-rater reliability and clinical utility of the BASED score in infantile epileptic spasms syndrome.Epileptic disorders : international epilepsy journal with videotape · 2026
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  16. Clinical trials for Lennox-Gastaut syndrome: Challenges and priorities.Annals of clinical and translational neurology · 2024
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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

5 authors at 2 institutions in 2 countries.

Blanca Romero MilàDepartment of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States.
Kavyakantha Remakanthakurup SindhuDepartment of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States.
John R MytingerDivision of Pediatric Neurology, Department of Pediatrics, Nationwide Children's Hospital, The Ohio State University, Columbus, OH, United States.
Daniel W ShreyDivision of Neurology, Children's Hospital Orange County, Orange, CA, United States.
Beth A LopourDepartment of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States.
University of California, Irvine · USNationwide Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis and treatment are critical for young children with infantile spasms (IS), as this maximizes the possibility of the best possible child-specific outcome. However, there are major barriers to achieving this, including high rates of misdiagnosis or failure to recognize the seizures, medication failure, and relapse. There are currently no validated tools to aid clinicians in assessing objective diagnostic criteria, predicting or measuring medication response, or predicting the likelihood of relapse. However, the pivotal role of EEG in the clinical management of IS has prompted many recent studies of potential EEG biomarkers of the disease. These include both visual EEG biomarkers based on human visual interpretation of the EEG and computational EEG biomarkers in which computers calculate quantitative features of the EEG. Here, we review the literature on both types of biomarkers, organized based on the application (diagnosis, treatment response, prediction, etc.). Visual biomarkers include the assessment of hypsarrhythmia, epileptiform discharges, fast oscillations, and the Burden of AmplitudeS and Epileptiform Discharges (BASED) score. Computational markers include EEG amplitude and power spectrum, entropy, functional connectivity, high frequency oscillations (HFOs), long-range temporal correlations, and phase-amplitude coupling. We also introduce each of the computational measures and provide representative examples. Finally, we highlight remaining gaps in the literature, describe practical guidelines for future biomarker discovery and validation studies, and discuss remaining roadblocks to clinical implementation, with the goal of facilitating future work in this critical area.

Indexed as

Detrended Fluctuation Analysis (DFA)entropyepilepsyfunctional connectivityhigh frequency oscillation (HFO)hypsarrhythmialong-range temporal correlation (LRTC)phase amplitude coupling

Identifiers

PMID35968272
PMCPMC9366674
OpenAlexW4288080915

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.