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

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 struc...

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Autores principales: Kim, Daegyeom, Lee, Joo Young, Jeong, Byeong Chang, Ahn, Ja‐Hye, Kim, Johanna Inhyang, Lee, Eun Soo, Kim, Hyuna, Lee, Hyun Ju, Han, Cheol E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292809/
https://www.ncbi.nlm.nih.gov/pubmed/34529363
http://dx.doi.org/10.1002/aur.2609
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author Kim, Daegyeom
Lee, Joo Young
Jeong, Byeong Chang
Ahn, Ja‐Hye
Kim, Johanna Inhyang
Lee, Eun Soo
Kim, Hyuna
Lee, Hyun Ju
Han, Cheol E.
author_facet Kim, Daegyeom
Lee, Joo Young
Jeong, Byeong Chang
Ahn, Ja‐Hye
Kim, Johanna Inhyang
Lee, Eun Soo
Kim, Hyuna
Lee, Hyun Ju
Han, Cheol E.
author_sort Kim, Daegyeom
collection PubMed
description 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.
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spelling pubmed-92928092022-07-20 Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder Kim, Daegyeom Lee, Joo Young Jeong, Byeong Chang Ahn, Ja‐Hye Kim, Johanna Inhyang Lee, Eun Soo Kim, Hyuna Lee, Hyun Ju Han, Cheol E. Autism Res NEUROIMAGING 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. John Wiley & Sons, Inc. 2021-09-16 2021-11 /pmc/articles/PMC9292809/ /pubmed/34529363 http://dx.doi.org/10.1002/aur.2609 Text en © 2021 The Authors. Autism Research published by International Society for Autism Research and Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle NEUROIMAGING
Kim, Daegyeom
Lee, Joo Young
Jeong, Byeong Chang
Ahn, Ja‐Hye
Kim, Johanna Inhyang
Lee, Eun Soo
Kim, Hyuna
Lee, Hyun Ju
Han, Cheol E.
Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder
title Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder
title_full Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder
title_fullStr Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder
title_full_unstemmed Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder
title_short Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder
title_sort overconnectivity of the right heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder
topic NEUROIMAGING
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292809/
https://www.ncbi.nlm.nih.gov/pubmed/34529363
http://dx.doi.org/10.1002/aur.2609
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