Evidence map›Paper›PMID 35716637›Full record

ArticleDevelopmental cognitive neuroscience2022

EEG functional connectivity analysis in the source space.

Wanze Xie, Russell T Toll, Charles A Nelson

Abstract read
In one paragraph

Article in Developmental cognitive neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Neural correlates of child temperament: The role of brain network connectivity in psychopathology risk.Journal of child psychology and psychiatry, and allied disciplines · 2026
    Article
  3. Article
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  7. Mechanisms of acupuncture-regulated cortical plasticity after stroke based on TMS-EEG-MEP integration.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  8. Functional Connectivity Is Dominated by Aperiodic, Rather Than Oscillatory, Coupling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
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  10. Review
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  19. Temporal Properties of Self-Prioritization.Entropy (Basel, Switzerland) · 2024
    Article
  20. Review
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

3 authors.

Wanze XieSchool of Psychological and Cognitive Sciences, Peking University, China; PKU-IDG/McGovern Institute for Brain Research, Peking University, China; Beijing Key Laboratory of Behavior and Mental Health, Peking University, China. Electronic address: wanze.xie@pku.edu.cn.
Russell T TollDepartment of Psychiatry, University of Texas Southwestern Medical Centre at Dallas, USA.
Charles A NelsonBoston Children's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Harvard Graduate School of Education, Cambridge, MA, USA.

Funding

The Development of Face ProcessingR01MH078829 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI Michelle A Bosquet Enlow · 2006 to 2026
$14.8M
Genetic Analysis and Manipulation Core (GAEC)P50HD105351 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI SCOTT Loren POMEROY, MUSTAFA SAHIN · 2021 to 2026
$9.4M
NICHD NIH HHS P50 HD105351NIMH NIH HHS R01 MH078829
6 · The paper itself

Abstract

There is a growing interest in using electroencephalography (EEG) and source modeling to investigate functional interactions among cortical processes, particularly when dealing with pediatric populations. This paper introduces two pipelines that have been recently used to conduct EEG FC analysis in the cortical source space. The analytic streams of these pipelines can be summarized into the following steps: 1) cortical source reconstruction of high-density EEG data using realistic magnetic resonance imaging (MRI) models created with age-appropriate MRI templates; 2) segmentation of reconstructed source activities into brain regions of interest; and 3) estimation of FC in age-related frequency bands using robust EEG FC measures, such as weighted phase lag index and orthogonalized power envelope correlation. In this paper we demonstrate the two pipelines with resting-state EEG data collected from children at 12 and 36 months of age. We also discuss the advantages and limitations of the methods/techniques integrated into the pipelines. Given there is a need in the research community for open-access analytic toolkits that can be used for pediatric EEG data, programs and codes used for the current analysis are made available to the public.

Indexed as

Brain MappingElectroencephalographyBrainChildHumansMagnetic Resonance ImagingEEGSource analysisSource-space functional connectivity

Identifiers

PMID35716637
PMCPMC9204388

What OpenQuestion 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 OpenQuestion graph.