Evidence map›Paper›PMID 34529363›Full record

ArticleAutism research : official journal of the International Society for Autism Research2021

Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder.

Daegyeom Kim, Joo Young Lee, Byeong Chang Jeong, Ja-Hye Ahn, Johanna Inhyang Kim, Eun Soo Lee, Hyuna Kim, Hyun Ju Lee, Cheol E Han

Open access · hybridAbstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

9 authors at 4 institutions in 2 countries.

Daegyeom KimDepartment of Electronics and Information Engineering, Korea University, Sejong, Republic of Korea.ORCID 0000-0002-2367-0934
Joo Young LeeClinical Research Institute of Developmental Medicine, Seoul Hanyang University Hospital, Seoul, Republic of Korea.
Byeong Chang JeongDepartment of Electronics and Information Engineering, Korea University, Sejong, Republic of Korea.
Ja-Hye AhnDepartment of Pediatrics, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea.
Johanna Inhyang KimClinical Research Institute of Developmental Medicine, Seoul Hanyang University Hospital, Seoul, Republic of Korea.
Eun Soo LeeDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA.
Hyuna KimDepartment of Child Psychotherapy, Hanyang University Graduate School of Medicine, Seoul, Republic of Korea.
Hyun Ju LeeClinical Research Institute of Developmental Medicine, Seoul Hanyang University Hospital, Seoul, Republic of Korea.
Cheol E HanDepartment of Electronics and Information Engineering, Korea University, Sejong, Republic of Korea.
Hanyang University Seoul Hospital · KRKorea University · KRHanyang University · KRHarvard University · US

Funding

Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) funded by the Ministry of Health & Welfare, Republic of Korea CEH, HI19C0645National Research Foundation of Korea Grant funded by the Korean Government MSIT 2019M3E5D1A01069345National Research Foundation of Korea Grant funded by the Korean Government MSIT M3E5D9080787National Research Foundation of Korea Grant funded by the Korean Government MSIT NRF-2020-R1F1A1048529
6 · The paper itself

Abstract

Previous studies have reported varying findings regarding the association of brain connectivity in autism spectrum disorder (ASD) with overconnectivity, underconnectivity, or both. Despite the emerging understanding that ASD is a developmental disconnection syndrome, very little is known about structural brain networks in preschool-aged children with low-functioning ASD. We aimed to investigate the structural brain connectivity of low-functioning ASD using diffusion magnetic resonance imaging and graph theory to examine alterations in different brain network topologies and identify any correlations with the clinical severity of ASD in preschool-aged children. Fifty-two preschool-aged children (28 with ASD and 24 with typical development) were included in the analysis. Graph-based network analysis was performed to examine the global and local structural brain networks. Nodal network measures exhibited increased nodal strength in the right Heschl's gyrus, which was positively associated with all autistic clinical symptoms (Autism Diagnostic Observation Schedule and Childhood Autism Rating Scale [CARS]). The nodal strength of the right inferior temporal gyrus showed a moderate correlation with the CARS score. Using network-based statistics, we identified a subnetwork with increased connections encompassing the right Heschl's gyrus and the right inferior temporal gyrus in preschool-aged children with ASD. The asymmetric value in the inferior temporal gyrus exhibited right dominance of nodal strength in children with ASD compared to that in typically developing children. Our findings support the theory of aberrant brain growth and overconnectivity as the underlying mechanism of ASD and provides new insights into potential regional biomarkers that can detect low-functioning ASD in preschool-aged children. LAY SUMMARY: This study supports the theory of aberrant brain growth and overconnectivity as an explanation for ASD. Measuring the right HG and inferior temporal gyrus provides new insights of potential regional biomarkers underpinning ASD in preschool-aged children.

Indexed as

Autism Spectrum DisorderBrainBrain MappingChildChild, PreschoolHumansMagnetic Resonance ImagingNeural PathwaysTemporal Lobeautism spectrum disorderbrain networksdiffusion tensor imaginggraph theoryHeschl's gyrusoverconnectivitypreschool children

Identifiers

PMID34529363
PMCPMC9292809
OpenAlexW3201450302

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.