Evidence map›Paper›PMID 35818374›Full record

ArticleNeuropsychiatric disease and treatment2022

Abnormal Degree Centrality in Children with Low-Function Autism Spectrum Disorders: A Sleeping-State Functional Magnetic Resonance Imaging Study.

Shoujun Xu, Meng Li, Chunlan Yang, Xiangling Fang, Miaoting Ye, Yunfan Wu, Binrang Yang, Wenxian Huang, Peng Li, Xiaofen Ma and 5 more

Open access · goldAbstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2022. 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
0.2field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

15 authors at 2 institutions in 1 country.

Shoujun Xu *Department of Radiology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Meng Li *Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Chunlan YangDepartment of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Xiangling FangDepartment of Department of Children Healthcare, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Miaoting YeDepartment of Department of Children Healthcare, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Yunfan WuDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Binrang YangDepartment of Department of Children Healthcare, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Wenxian HuangDepartment of Department of Children Healthcare, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Peng LiDepartment of Radiology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Xiaofen MaDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.ORCID 0000-0002-3178-232X
Shishun FuDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Yi YinDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Junzhang TianDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Yungen GanDepartment of Radiology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Guihua JiangDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Shenzhen Children's Hospital · CNGuangdong Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study used the graph-theory approach, degree centrality (DC) to analyze whole-brain functional networks at the voxel level in children with ASD, and investigated whether DC changes were correlated with any clinical variables in ASD children. Methods: The current study included 86 children with ASD and 54 matched healthy subjects Aged 2-5.5 years. Next, chloral hydrate induced sleeping-state functional magnetic resonance imaging (ss-fMRI) datasets were acquired from these ASD and healthy subjects. For a given voxel, the DC was calculated by calculating the number of functional connections with significantly positive correlations at the individual level. Group differences were tested using two-sample Results: Children with ASD exhibited low DC values in the right middle frontal gyrus (MFG) ( Conclusion: Taken together, the results of our ss-fMRI study suggest that abnormal DC may represent an important contribution to elucidation of the neuropathophysiological mechanisms of preschoolers with ASD.

Indexed as

ASDautism spectrum disordersDCDegree centralityfMRIfunctional magnetic resonance imagingPearson’s correlation analysiswhole-brain functional networks

Identifiers

PMID35818374
PMCPMC9270980
OpenAlexW4284678024

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.