Evidence map›Paper›PMID 38404781›Full record

ArticleHeliyon2024

Brain functional connectivity alterations of Wernicke's area in individuals with autism spectrum conditions in multi-frequency bands: A mega-analysis.

Linlin Zhan, Yanyan Gao, Lina Huang, Hongqiang Zhang, Guofeng Huang, Yadan Wang, Jiawei Sun, Zhou Xie, Mengting Li, Xize Jia and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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
1.0field-weighted citation impact, top 28% 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, 3 citations in OpenAlex.

  1. Article
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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

12 authors at 6 institutions in 1 country.

Linlin ZhanSchool of Western Studies, Heilongjiang University, Harbin, China.
Yanyan GaoCollege of Teacher Education, Zhejiang Normal University, Jinhua, China.
Lina HuangDepartment of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China.
Hongqiang ZhangDepartment of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China.
Guofeng HuangSchool of Information and Electronics Technology, Jiamusi University, Jiamusi, China.
Yadan WangSchool of Information and Electronics Technology, Jiamusi University, Jiamusi, China.
Jiawei SunSchool of Information and Electronics Technology, Jiamusi University, Jiamusi, China.
Zhou XieSchool of Information and Electronics Technology, Jiamusi University, Jiamusi, China.
Mengting LiCollege of Teacher Education, Zhejiang Normal University, Jinhua, China.
Xize JiaCollege of Teacher Education, Zhejiang Normal University, Jinhua, China.
Lulu ChengSchool of Foreign Studies, China University of Petroleum (East China), Qingdao, China.
Yang YuPsychiatry Department, The Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang, Hangzhou, China.
Jiamusi University · CNZhejiang Normal University · CNXuzhou Medical College · CNHeilongjiang University · CNSecond Affiliated Hospital of Zhejiang University · CNShanghai International Studies University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterized by severe deficits in communication, most individuals with autism spectrum conditions (ASC) experience significant language dysfunctions, thereby impacting their overall quality of life. Wernicke's area, a classical and traditional brain region associated with language processing, plays a substantial role in the manifestation of language impairments. The current study carried out a mega-analysis to attain a comprehensive understanding of the neural mechanisms underpinning ASC, particularly in the context of language processing. The study employed the Autism Brain Image Data Exchange (ABIDE) dataset, which encompasses data from 443 typically developing (TD) individuals and 362 individuals with ASC. The objective was to detect abnormal functional connectivity (FC) between Wernicke's area and other language-related functional regions, and identify frequency-specific altered FC using Wernicke's area as the seed region in ASC. The findings revealed that increased FC in individuals with ASC has frequency-specific characteristics. Further, in the conventional frequency band (0.01-0.08 Hz), individuals with ASC exhibited increased FC between Wernicke's area and the right thalamus compared with TD individuals. In the slow-5 frequency band (0.01-0.027 Hz), increased FC values were observed in the left cerebellum Crus II and the right lenticular nucleus, pallidum. These results provide novel insights into the potential neural mechanisms underlying communication deficits in ASC from the perspective of language impairments.

Indexed as

Autism spectrum conditions (ASC)Autism spectrum disorders (ASD)Frequency-specificFunctional connectivityLanguage impairmentsWernicke's area

Identifiers

PMID38404781
PMCPMC10884452
OpenAlexW4391824829

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.