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The longitudinal bidirectional relationship between autistic traits and brain morphology from childhood to adolescence: a population-based cohort study

OBJECTIVE: Autistic traits are associated with alterations in brain morphology. However, the anatomic location of these differences and their developmental trajectories are unclear. The primary objective of this longitudinal study was to explore the bidirectional relationship between autistic traits...

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Autores principales: Durkut, Melisa, Blok, Elisabet, Suleri, Anna, White, Tonya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258195/
https://www.ncbi.nlm.nih.gov/pubmed/35790991
http://dx.doi.org/10.1186/s13229-022-00504-7
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author Durkut, Melisa
Blok, Elisabet
Suleri, Anna
White, Tonya
author_facet Durkut, Melisa
Blok, Elisabet
Suleri, Anna
White, Tonya
author_sort Durkut, Melisa
collection PubMed
description OBJECTIVE: Autistic traits are associated with alterations in brain morphology. However, the anatomic location of these differences and their developmental trajectories are unclear. The primary objective of this longitudinal study was to explore the bidirectional relationship between autistic traits and brain morphology from childhood to adolescence. METHOD: Participants were drawn from a population-based cohort. Cross-sectional and longitudinal analyses included 1950 (mean age 13.5) and 304 participants (mean ages 6.2 and 13.5), respectively. Autistic traits were measured with the Social Responsiveness Scale. Global brain measures and surface-based measures of gyrification, cortical thickness and surface area were obtained from T(1)-weighted MRI scans. Cross-sectional associations were assessed using linear regression analyses. Cross-lagged panel models were used to determine the longitudinal bidirectional relationship between autistic traits and brain morphology. RESULTS: Cross-sectionally, higher levels of autistic traits in adolescents are associated with lower gyrification in the pars opercularis, insula and superior temporal cortex; smaller surface area in the middle temporal and postcentral cortex; larger cortical thickness in the superior frontal cortex; and smaller cerebellum cortex volume. Longitudinally, both autistic traits and brain measures were quite stable, with neither brain measures predicting changes in autistic traits, nor vice-versa. LIMITATIONS: Autistic traits were assessed at only two time points, and thus we could not distinguish within- versus between-person effects. Furthermore, two different MRI scanners were used between baseline and follow-up for imaging data acquisition. CONCLUSIONS: Our findings point to early changes in brain morphology in children with autistic symptoms that remain quite stable over time. The observed relationship did not change substantially after excluding children with high levels of autistic traits, bolstering the evidence for the extension of the neurobiology of autistic traits to the general population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13229-022-00504-7.
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spelling pubmed-92581952022-07-07 The longitudinal bidirectional relationship between autistic traits and brain morphology from childhood to adolescence: a population-based cohort study Durkut, Melisa Blok, Elisabet Suleri, Anna White, Tonya Mol Autism Research OBJECTIVE: Autistic traits are associated with alterations in brain morphology. However, the anatomic location of these differences and their developmental trajectories are unclear. The primary objective of this longitudinal study was to explore the bidirectional relationship between autistic traits and brain morphology from childhood to adolescence. METHOD: Participants were drawn from a population-based cohort. Cross-sectional and longitudinal analyses included 1950 (mean age 13.5) and 304 participants (mean ages 6.2 and 13.5), respectively. Autistic traits were measured with the Social Responsiveness Scale. Global brain measures and surface-based measures of gyrification, cortical thickness and surface area were obtained from T(1)-weighted MRI scans. Cross-sectional associations were assessed using linear regression analyses. Cross-lagged panel models were used to determine the longitudinal bidirectional relationship between autistic traits and brain morphology. RESULTS: Cross-sectionally, higher levels of autistic traits in adolescents are associated with lower gyrification in the pars opercularis, insula and superior temporal cortex; smaller surface area in the middle temporal and postcentral cortex; larger cortical thickness in the superior frontal cortex; and smaller cerebellum cortex volume. Longitudinally, both autistic traits and brain measures were quite stable, with neither brain measures predicting changes in autistic traits, nor vice-versa. LIMITATIONS: Autistic traits were assessed at only two time points, and thus we could not distinguish within- versus between-person effects. Furthermore, two different MRI scanners were used between baseline and follow-up for imaging data acquisition. CONCLUSIONS: Our findings point to early changes in brain morphology in children with autistic symptoms that remain quite stable over time. The observed relationship did not change substantially after excluding children with high levels of autistic traits, bolstering the evidence for the extension of the neurobiology of autistic traits to the general population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13229-022-00504-7. BioMed Central 2022-07-05 /pmc/articles/PMC9258195/ /pubmed/35790991 http://dx.doi.org/10.1186/s13229-022-00504-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Durkut, Melisa
Blok, Elisabet
Suleri, Anna
White, Tonya
The longitudinal bidirectional relationship between autistic traits and brain morphology from childhood to adolescence: a population-based cohort study
title The longitudinal bidirectional relationship between autistic traits and brain morphology from childhood to adolescence: a population-based cohort study
title_full The longitudinal bidirectional relationship between autistic traits and brain morphology from childhood to adolescence: a population-based cohort study
title_fullStr The longitudinal bidirectional relationship between autistic traits and brain morphology from childhood to adolescence: a population-based cohort study
title_full_unstemmed The longitudinal bidirectional relationship between autistic traits and brain morphology from childhood to adolescence: a population-based cohort study
title_short The longitudinal bidirectional relationship between autistic traits and brain morphology from childhood to adolescence: a population-based cohort study
title_sort longitudinal bidirectional relationship between autistic traits and brain morphology from childhood to adolescence: a population-based cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258195/
https://www.ncbi.nlm.nih.gov/pubmed/35790991
http://dx.doi.org/10.1186/s13229-022-00504-7
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