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Network-specific sex differentiation of intrinsic brain function in males with autism
BACKGROUND: The male predominance in the prevalence of autism spectrum disorder (ASD) has motivated research on sex differentiation in ASD. Multiple sources of evidence have suggested a neurophenotypic convergence of ASD-related characteristics and typical sex differences. Two existing, albeit compe...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840786/ https://www.ncbi.nlm.nih.gov/pubmed/29541439 http://dx.doi.org/10.1186/s13229-018-0192-x |
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author | Floris, Dorothea L. Lai, Meng-Chuan Nath, Tanmay Milham, Michael P. Di Martino, Adriana |
author_facet | Floris, Dorothea L. Lai, Meng-Chuan Nath, Tanmay Milham, Michael P. Di Martino, Adriana |
author_sort | Floris, Dorothea L. |
collection | PubMed |
description | BACKGROUND: The male predominance in the prevalence of autism spectrum disorder (ASD) has motivated research on sex differentiation in ASD. Multiple sources of evidence have suggested a neurophenotypic convergence of ASD-related characteristics and typical sex differences. Two existing, albeit competing, models provide predictions on such neurophenotypic convergence. These two models are testable with neuroimaging. Specifically, the Extreme Male Brain (EMB) model predicts that ASD is associated with enhanced brain maleness in both males and females with ASD (i.e., a shift-towards-maleness). In contrast, the Gender Incoherence (GI) model predicts a shift-towards-maleness in females, yet a shift-towards-femaleness in males with ASD. METHODS: To clarify whether either model applies to the intrinsic functional properties of the brain in males with ASD, we measured the statistical overlap between typical sex differences and ASD-related atypicalities in resting-state fMRI (R-fMRI) datasets largely available in males. Main analyses focused on two large-scale R-fMRI samples: 357 neurotypical (NT) males and 471 NT females from the 1000 Functional Connectome Project and 360 males with ASD and 403 NT males from the Autism Brain Imaging Data Exchange. RESULTS: Across all R-fMRI metrics, results revealed coexisting, but network-specific, shift-towards-maleness and shift-towards-femaleness in males with ASD. A shift-towards-maleness mostly involved the default network, while a shift-towards-femaleness mostly occurred in the somatomotor network. Explorations of the associated cognitive processes using available cognitive ontology maps indicated that higher-order social cognitive functions corresponded to the shift-towards-maleness, while lower-order sensory motor processes corresponded to the shift-towards-femaleness. CONCLUSIONS: The present findings suggest that atypical intrinsic brain properties in males with ASD partly reflect mechanisms involved in sexual differentiation. A model based on network-dependent atypical sex mosaicism can synthesize prior competing theories on factors involved in sex differentiation in ASD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13229-018-0192-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5840786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58407862018-03-14 Network-specific sex differentiation of intrinsic brain function in males with autism Floris, Dorothea L. Lai, Meng-Chuan Nath, Tanmay Milham, Michael P. Di Martino, Adriana Mol Autism Research BACKGROUND: The male predominance in the prevalence of autism spectrum disorder (ASD) has motivated research on sex differentiation in ASD. Multiple sources of evidence have suggested a neurophenotypic convergence of ASD-related characteristics and typical sex differences. Two existing, albeit competing, models provide predictions on such neurophenotypic convergence. These two models are testable with neuroimaging. Specifically, the Extreme Male Brain (EMB) model predicts that ASD is associated with enhanced brain maleness in both males and females with ASD (i.e., a shift-towards-maleness). In contrast, the Gender Incoherence (GI) model predicts a shift-towards-maleness in females, yet a shift-towards-femaleness in males with ASD. METHODS: To clarify whether either model applies to the intrinsic functional properties of the brain in males with ASD, we measured the statistical overlap between typical sex differences and ASD-related atypicalities in resting-state fMRI (R-fMRI) datasets largely available in males. Main analyses focused on two large-scale R-fMRI samples: 357 neurotypical (NT) males and 471 NT females from the 1000 Functional Connectome Project and 360 males with ASD and 403 NT males from the Autism Brain Imaging Data Exchange. RESULTS: Across all R-fMRI metrics, results revealed coexisting, but network-specific, shift-towards-maleness and shift-towards-femaleness in males with ASD. A shift-towards-maleness mostly involved the default network, while a shift-towards-femaleness mostly occurred in the somatomotor network. Explorations of the associated cognitive processes using available cognitive ontology maps indicated that higher-order social cognitive functions corresponded to the shift-towards-maleness, while lower-order sensory motor processes corresponded to the shift-towards-femaleness. CONCLUSIONS: The present findings suggest that atypical intrinsic brain properties in males with ASD partly reflect mechanisms involved in sexual differentiation. A model based on network-dependent atypical sex mosaicism can synthesize prior competing theories on factors involved in sex differentiation in ASD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13229-018-0192-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-06 /pmc/articles/PMC5840786/ /pubmed/29541439 http://dx.doi.org/10.1186/s13229-018-0192-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Floris, Dorothea L. Lai, Meng-Chuan Nath, Tanmay Milham, Michael P. Di Martino, Adriana Network-specific sex differentiation of intrinsic brain function in males with autism |
title | Network-specific sex differentiation of intrinsic brain function in males with autism |
title_full | Network-specific sex differentiation of intrinsic brain function in males with autism |
title_fullStr | Network-specific sex differentiation of intrinsic brain function in males with autism |
title_full_unstemmed | Network-specific sex differentiation of intrinsic brain function in males with autism |
title_short | Network-specific sex differentiation of intrinsic brain function in males with autism |
title_sort | network-specific sex differentiation of intrinsic brain function in males with autism |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840786/ https://www.ncbi.nlm.nih.gov/pubmed/29541439 http://dx.doi.org/10.1186/s13229-018-0192-x |
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