Evidence map›Paper›PMID 35822559›Full record

ArticleHuman brain mapping2023

Different functional connectivity optimal frequency in autism compared with healthy controls and the relationship with social communication deficits: Evidence from gene expression and behavior symptom analyses.

Jinjin Long, Fengmei Lu, Shanshan Yang, Qianyue Zhang, Xue Chen, Yajing Pang, Min Wang, Bifang He, Heng Liu, Xujun Duan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

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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

2 citing papers in PubMed, 6 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

13 authors at 6 institutions in 1 country.

Jinjin LongSchool of Medicine, Guizhou University, Guiyang, China.
Fengmei LuKey laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, China.
Shanshan YangSchool of Medicine, Guizhou University, Guiyang, China.
Qianyue ZhangSchool of Medicine, Guizhou University, Guiyang, China.
Xue ChenSchool of Medicine, Guizhou University, Guiyang, China.
Yajing PangSchool of Electrical Engineering, Zhengzhou University, Zhengzhou, China.ORCID 0000-0003-4070-6748
Min WangBioinformatics and BioMedical Bigdata Mining Laboratory, School of Big Health, Guizhou Medical University, China.
Bifang HeSchool of Medicine, Guizhou University, Guiyang, China.ORCID 0000-0002-9906-3794
Heng LiuDepartment of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Zunyi, China.ORCID 0000-0002-6108-5154
Xujun DuanKey laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0001-8543-2117
Huafu ChenKey laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0002-4062-4753
Shaobing YeThe People's Hospital of Kaizhou District, Chongqing, China.
Heng ChenSchool of Medicine, Guizhou University, Guiyang, China.ORCID 0000-0001-6939-7665
Guizhou University · CNUniversity of Electronic Science and Technology of China · CNGuiyang Medical University · CNPeople's Hospital of Kaizhou District · CNZhengzhou University · CNZunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have reported that different brain regions/connections possess distinct frequency properties, which are related to brain function. Previous studies have proposed altered brain activity frequency and frequency-specific functional connectivity (FC) patterns in autism spectrum disorder (ASD), implying the varied dominant frequency of FC in ASD. However, the difference of the dominant frequency of FC between ASD and healthy controls (HCs) remains unclear. In the present study, the dominant frequency of FC was measured by FC optimal frequency, which was defined as the intermediate of the frequency bin at which the FC strength could reach the maximum. A multivariate pattern analysis was conducted to determine whether the FC optimal frequency in ASD differs from that in HCs. Partial least squares regression (PLSR) and enrichment analyses were conducted to determine the relationship between the FC optimal frequency difference of ASD/HCs and cortical gene expression. PLSR analyses were also performed to explore the relationship between FC optimal frequency and the clinical symptoms of ASD. Results showed a significant difference of FC optimal frequency between ASD and HCs. Some genes whose cortical expression patterns are related to the FC optimal frequency difference of ASD/HCs were enriched for social communication problems. Meanwhile, the FC optimal frequency in ASD was significantly related to social communication symptoms. These results may help us understand the neuro-mechanism of the social communication deficits in ASD.

Indexed as

Autism Spectrum DisorderAutistic DisorderBrainBrain MappingCommunicationGene ExpressionHumansMagnetic Resonance ImagingNeural Pathwaysautism spectrum disorderoptimal frequencyresting-state fMRIsocial communication

Identifiers

PMID35822559
PMCPMC9783427
OpenAlexW4285084633

What OpenQuestion holds

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LicenceCC BY-NC
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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.