Evidence map›Paper›PMID 29740268›Full record

ArticleFrontiers in neuroscience2018

Study of Resting-State Functional Connectivity Networks Using EEG Electrodes Position As Seed.

Gonzalo M Rojas, Carolina Alvarez, Carlos E Montoya, María de la Iglesia-Vayá, Jaime E Cisternas, Marcelo Gálvez

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 137 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

6 authors at 3 institutions in 2 countries.

Gonzalo M RojasLaboratory for Advanced Medical Image Processing, Department of Radiology, Clínica las Condes, Santiago, Chile.
Carolina AlvarezAdvanced Epilepsy Center, Clínica las Condes, Santiago, Chile.
Carlos E MontoyaMedical Bio-Modeling Laboratory, Department of Radiology, Clínica las Condes, Santiago, Chile.
María de la Iglesia-VayáJoint Unit FISABIO & Prince Felipe Research Center (CIPF), Valencia, Spain.
Jaime E CisternasSchool of Engineering and Applied Sciences, Universidad de los Andes, Santiago, Chile.
Marcelo GálvezMedical Bio-Modeling Laboratory, Department of Radiology, Clínica las Condes, Santiago, Chile.
Clínica Las Condes · CLCentro de Investigacion Principe Felipe · ESUniversidad de Los Andes, Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroencephalography (EEG) is the standard diagnosis method for a wide variety of diseases such as epilepsy, sleep disorders, encephalopathies, and coma, among others. Resting-state functional magnetic resonance (rs-fMRI) is currently a technique used in research in both healthy individuals as well as patients. EEG and fMRI are procedures used to obtain direct and indirect measurements of brain neural activity: EEG measures the electrical activity of the brain using electrodes placed on the scalp, and fMRI detects the changes in blood oxygenation that occur in response to neural activity. EEG has a high temporal resolution and low spatial resolution, while fMRI has high spatial resolution and low temporal resolution. Thus, the combination of EEG with rs-fMRI using different methods could be very useful for research and clinical applications. In this article, we describe and show the results of a new methodology for processing rs-fMRI using seeds positioned according to the 10-10 EEG standard. We analyze the functional connectivity and adjacency matrices obtained using 65 seeds based on 10-10 EEG scheme and 21 seeds based on 10-20 EEG. Connectivity networks are created using each 10-20 EEG seeds and are analyzed by comparisons to the seven networks that have been found in recent studies. The proposed method captures high correlation between contralateral seeds, ipsilateral and contralateral occipital seeds, and some in the frontal lobe.

Indexed as

10-10 EEG system10-20 EEG systemEEGEEG-fMRIfunctional connectivityrs-fMRI

Identifiers

PMID29740268
PMCPMC5928390
OpenAlexW2800938746

What OpenQuestion holds

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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.