Evidence map›Paper›PMID 37928352›Full record

ArticleFrontiers in pediatrics2023

Crucial involvement of fast waves and Delta band in the brain network attributes of infantile epileptic spasms syndrome.

Yan Dong, Liang Jin, Mengchun Li, Ruofei Lian, Gongao Wu, Ruijuan Xu, Xiaoli Zhang, Kaixian Du, Tianming Jia, Haiyan Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 49% of its field
1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 2 institutions in 1 country.

Yan DongDepartment of Pediatrics, The Third Affiliated Hospital of Zheng Zhou University, Zhengzhou, China.
Liang JinDepartment of Pediatrics, The Third Affiliated Hospital of Zheng Zhou University, Zhengzhou, China.
Mengchun LiDepartment of Pediatrics, The Third Affiliated Hospital of Zheng Zhou University, Zhengzhou, China.
Ruofei LianDepartment of Pediatrics, The Third Affiliated Hospital of Zheng Zhou University, Zhengzhou, China.
Gongao WuDepartment of Pediatrics, The Third Affiliated Hospital of Zheng Zhou University, Zhengzhou, China.
Ruijuan XuDepartment of Pediatrics, The Third Affiliated Hospital of Zheng Zhou University, Zhengzhou, China.
Xiaoli ZhangDepartment of Pediatrics, The Third Affiliated Hospital of Zheng Zhou University, Zhengzhou, China.
Kaixian DuDepartment of Pediatrics, The Third Affiliated Hospital of Zheng Zhou University, Zhengzhou, China.
Tianming JiaDepartment of Pediatrics, The Third Affiliated Hospital of Zheng Zhou University, Zhengzhou, China.
Haiyan WangDepartment of Pediatrics, The Third Affiliated Hospital of Zheng Zhou University, Zhengzhou, China.
Shichao ZhaoDepartment of Pediatrics, The Third Affiliated Hospital of Zheng Zhou University, Zhengzhou, China.
Third Affiliated Hospital of Zhengzhou University · CNZhumadian Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to describe the characteristics of the brain network attributes in children diagnosed with Infantile Epileptic Spasms Syndrome (IESS) and to determine the influence exerted by adrenocorticotrophic hormone (ACTH) or methylprednisolone (MP) on network attributes. Methods: In this retrospective cohort study, we recruited 19 infants diagnosed with IESS and 10 healthy subjects as the control from the Pediatric Neurology Department at the Third Affiliated Hospital of Zhengzhou University between October 2019 and December 2020. The first thirty-minute processed electroencephalograms (EEGs) were clipped and filtered into EEG frequency bands (2 s each). A comparative assessment was conducted between the IESS group and the controls as well as the pre- and post-treatment in the IESS group. Mutual information values for each EEG channel were collected and compared including characteristic path length (CPL), node degree (ND), clustering coefficient (CC), and betweenness centrality (BC), based on graph theory. Results: Comparing the control group, in the IESS group, there was an increase in CPL of the Delta band, and a decrease in ND and CC of the Delta band during the waking period, contrary to those during the sleeping period ( Conclusions: The Delta band and fast waves are crucial components of the network attributes in IESS. Significance: This investigation provides a precise characterization of the brain network in children afflicted with IESS, and lays the groundwork for predicting the prognosis using graph theory.

Indexed as

analysisDelta bandfast wavesfunctional networkgraph theoryinfantile epileptic spasms syndrome

Identifiers

PMID37928352
PMCPMC10623136
OpenAlexW4387818007

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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.