Evidence map›Paper›PMID 32959999›Full record

ArticleBrain and behavior2020

The relationship between epilepsy and cognitive function in benign childhood epilepsy with centrotemporal spikes.

Yihan Li, Yulei Sun, Tingting Zhang, Qi Shi, Jintao Sun, Jing Xiang, Qiqi Chen, Zheng Hu, Xiaoshan Wang

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Yihan LiDepartment of Neurology, Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Yulei SunDepartment of Neurology, Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Tingting ZhangDepartment of Neurology, Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Qi ShiDepartment of Neurology, Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Jintao SunDepartment of Neurology, Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Jing XiangMEG Center, Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Qiqi ChenMEG Center, Nanjing Brain Hospital, Nanjing, China.
Zheng HuDepartment of Neurology, Nanjing Children's Hospital, Nanjing, China.
Xiaoshan WangDepartment of Neurology, Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.ORCID 0000-0003-3452-0402
Nanjing Brain Hospital · CNCincinnati Children's Hospital Medical Center · USNanjing Children's Hospital · CN

Funding

Health Commission of Jiangsu Province H2018062Nanjing Science and Technology Bureau 201911044National Natural Science Foundation of China 81471324National Natural Science Foundation of China BK20191127Natural Science Foundation of Jiangsu Province
6 · The paper itself

Abstract

introductionThis study was aimed to explore the relationship between neural network changes in newly diagnosed children with Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS) and cognitive impairment.

methodsChildren's cognition was evaluated using the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV). Magnetoencephalographic (MEG) data of 18 healthy children and 22 BECTS patients were recorded in order to construct a functional connectivity (FC) network, which was quantified by graph theory (GT).

resultsThe mean age of the control group was 7.94 ± 1.89 years, and the mean age of BECTS patients was 8.14 ± 1.73 years. Our results show that the WISC-IV index scores in the BECTS group were significantly lower than those in the control group. Besides, the FC network pattern of BECTS patients changed significantly in the 12-30, 30-80, and 250-500 Hz frequency band. The local functional connections between posterior cingulate cortex (PCC) and frontal lobe varied significantly in 12-30, 80-250, and 250-500 Hz. Our GT analysis shows that the connection strength of BECTS patients increases significantly in the 12-30 Hz frequency band, the path length decreases significantly in the 12-30 Hz and 30-80 Hz frequency bands, with the clustering coefficient decreasing significantly in the 12-30 Hz, 30-80 Hz, and 250-500 Hz frequency bands. Correlation analysis showed that the full-scale IQ (FSIQ) was positively correlated with the 12-30 Hz clustering coefficient, verbal comprehension index (VCI) was positively correlated with the 250-500 Hz clustering coefficient, perceptual reasoning index (PRI) was positively correlated with the 12-30 Hz clustering coefficient, and perceptual reasoning index (PSI) was negatively correlated with the 12-30 Hz path length.

conclusionThere is a trend of cognitive impairment in patients with early BECTS. This trend of cognitive impairment in early BECTS children may be related to the changes in the FC network pattern.

Indexed as

ElectroencephalographyEpilepsy, RolandicChildCognitionHumansMagnetoencephalographyWechsler Scalesbenign childhood epilepsy with centrotemporal spikesfunctional connectivitygraph theorymagnetoencephalographymulti-frequencyneural network

Identifiers

PMID32959999
PMCPMC7749571
OpenAlexW3087723291

What Socratic holds

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LicenceCC BY
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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 Socratic graph.