Evidence map›Paper›PMID 30938108›Full record

ArticleJournal of clinical neurology (Seoul, Korea)2019

Electroencephalographic Resting-State Functional Connectivity of Benign Epilepsy with Centrotemporal Spikes.

Hyun Soo Choi, Yoon Gi Chung, Sun Ah Choi, Soyeon Ahn, Hunmin Kim, Sungroh Yoon, Hee Hwang, Ki Joong Kim

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical neurology (Seoul, Korea), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Connectivity increases during spikes and spike-free periods in self-limited epilepsy with centrotemporal spikes.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. 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 2 institutions in 1 country.

Hyun Soo Choi *Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea.
Yoon Gi Chung *Healthcare ICT Research Center, Seoul National University Bundang Hospital, Seongnam, Korea.
Sun Ah ChoiDepartment of Pediatrics, Seoul National University Bundang Hospital, Seongnam, Korea.
Soyeon AhnDivision of Medical Statistics, Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Korea.
Hunmin KimDepartment of Pediatrics, Seoul National University Bundang Hospital, Seongnam, Korea. hunminkim@snubh.org.
Sungroh YoonDepartment of Electrical and Computer Engineering, Seoul National University, Seoul, Korea.
Hee HwangDepartment of Pediatrics, Seoul National University Bundang Hospital, Seongnam, Korea.
Ki Joong KimPediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, Korea.
Seoul National University Bundang Hospital · KRSeoul National University · KR

Funding

National IT Industry Promotion Agency 2018-0-00861
6 · The paper itself

Abstract

background and purposeWe aimed to reveal resting-state functional connectivity characteristics based on the spike-free waking electroencephalogram (EEG) of benign epilepsy with centrotemporal spikes (BECTS) patients, which usually appears normal in routine visual inspection.

methodsThirty BECTS patients and 30 disease-free and age- and sex-matched controls were included. Eight-second EEG epochs without artifacts were sampled and then bandpass filtered into the delta, theta, lower alpha, upper alpha, and beta bands to construct the association matrix. The weighted phase lag index (wPLI) was used as an association measure for EEG signals. The band-specific connectivity, which was represented as a matrix of wPLI values of all edges, was compared for analyzing the connectivity itself. The global wPLI, characteristic path length (CPL), and mean clustering coefficient were compared.

resultsThe resting-state functional connectivity itself and the network topology differed in the BECTS patients. For the lower-alpha-band and beta-band connectivity, edges that showed significant differences had consistently lower wPLI values compared to the disease-free controls. The global wPLI value was significantly lower for BECTS patients than for the controls in lower-alpha-band connectivity (mean±SD; 0.241±0.034 vs. 0.276±0.054,

conclusionsThe connectivity differed significantly between BECTS patients and disease-free controls. In BECTS, global connectivity was significantly decreased and the resting-state functional connectivity showed lower efficiency in the lower alpha band.

Indexed as

benign epilepsy with centrotemporal spikeselectroencephalographyepilepsyfunctional connectivityresting state

Identifiers

PMID30938108
PMCPMC6444134
OpenAlexW2930272947

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.