Evidence map›Paper›PMID 36672111›Full record

ArticleBrain sciences2023

Abnormalities of EEG Functional Connectivity and Effective Connectivity in Children with Autism Spectrum Disorder.

Xinling Geng, Xiwang Fan, Yiwen Zhong, Manuel F Casanova, Estate M Sokhadze, Xiaoli Li, Jiannan Kang

Abstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Cortical Network Overconnectivity Relates to Sensory, Cognitive, and Social Dimensions in Young Children With Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2026
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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

7 authors.

Xinling GengSchool of Biomedical Engineering, Capital Medical University, Beijing 100069, China.
Xiwang FanClinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai 200124, China.
Yiwen ZhongClinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai 200124, China.
Manuel F CasanovaDepartment of Biomedical Sciences, University of South Carolina School of Medicine Greenville, 701 Grove Rd, Greenville, SC 29605, USA.
Estate M SokhadzeDepartment of Biomedical Sciences, University of South Carolina School of Medicine Greenville, 701 Grove Rd, Greenville, SC 29605, USA.
Xiaoli LiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100859, China.
Jiannan KangCollege of Electronic & Information Engineering, Hebei University, Baoding 071000, China.

Funding

Medical discipline Construction Project of Pudong Health Committee of Shanghai PWYgy2021-02National Natural Science Foundation of China 62001153Research Project of Shanghai Science and Technology Commission 20dz2260300Science and Technology Development Fund of Shanghai Pudong New Area PKJ2020-Y34
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder that interferes with normal brain development. Brain connectivity may serve as a biomarker for ASD in this respect. This study enrolled a total of 179 children aged 3-10 years (90 typically developed (TD) and 89 with ASD). We used a weighted phase lag index and a directed transfer function to investigate the functional and effective connectivity in children with ASD and TD. Our findings indicated that patients with ASD had local hyper-connectivity of brain regions in functional connectivity and simultaneous significant decrease in effective connectivity across hemispheres. These connectivity abnormalities may help to find biomarkers of ASD.

Indexed as

autism spectrum disorderEEGeffective connectivityfunctional connectivity

Identifiers

PMID36672111
PMCPMC9857308

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Registered trials

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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.