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White matter endophenotypes and correlates for the clinical diagnosis of autism spectrum disorder

Since prior diffusion tensor imaging (DTI) studies reported no significant differences in white matter organizations between individuals with autism spectrum disorder (ASD) and their unaffected siblings, the neural correlates for developing a clinical diagnosis among people with endophenotypes remai...

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Autores principales: Yamagata, Bun, Itahashi, Takashi, Nakamura, Motoaki, Mimura, Masaru, Hashimoto, Ryu-Ichiro, Kato, Nobumasa, Aoki, Yuta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121142/
https://www.ncbi.nlm.nih.gov/pubmed/30184206
http://dx.doi.org/10.1093/scan/nsy048
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author Yamagata, Bun
Itahashi, Takashi
Nakamura, Motoaki
Mimura, Masaru
Hashimoto, Ryu-Ichiro
Kato, Nobumasa
Aoki, Yuta
author_facet Yamagata, Bun
Itahashi, Takashi
Nakamura, Motoaki
Mimura, Masaru
Hashimoto, Ryu-Ichiro
Kato, Nobumasa
Aoki, Yuta
author_sort Yamagata, Bun
collection PubMed
description Since prior diffusion tensor imaging (DTI) studies reported no significant differences in white matter organizations between individuals with autism spectrum disorder (ASD) and their unaffected siblings, the neural correlates for developing a clinical diagnosis among people with endophenotypes remain undetermined. We obtained DTI data from a total of 60 participants consisting of 30 people with endophenotypes and 30 people without. We first followed a conventional approach by comparing individuals with ASD and their unaffected siblings. Using region-of-interest approach, we then performed bootstrapping to examine whether the differences in white matter organizations between individuals with ASD and their unaffected siblings were substantially large, considering the distribution of differences between typically developing (TD) siblings. Conventional approaches revealed no significant differences in white matter organizations between individuals with ASD and their unaffected siblings. Bootstrapping revealed a significantly large difference in axial diffusivity in the left stria terminalis between individuals with ASD and their unaffected siblings after accounting for the distribution of differences in axial diffusivity among TD siblings (99.998 percentile). The results remained significant after controlling for multiple comparisons with Bonferroni method. We assumed that one aspect of this tract was associated with the development of a clinical diagnosis.
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spelling pubmed-61211422018-09-06 White matter endophenotypes and correlates for the clinical diagnosis of autism spectrum disorder Yamagata, Bun Itahashi, Takashi Nakamura, Motoaki Mimura, Masaru Hashimoto, Ryu-Ichiro Kato, Nobumasa Aoki, Yuta Soc Cogn Affect Neurosci Original Article Since prior diffusion tensor imaging (DTI) studies reported no significant differences in white matter organizations between individuals with autism spectrum disorder (ASD) and their unaffected siblings, the neural correlates for developing a clinical diagnosis among people with endophenotypes remain undetermined. We obtained DTI data from a total of 60 participants consisting of 30 people with endophenotypes and 30 people without. We first followed a conventional approach by comparing individuals with ASD and their unaffected siblings. Using region-of-interest approach, we then performed bootstrapping to examine whether the differences in white matter organizations between individuals with ASD and their unaffected siblings were substantially large, considering the distribution of differences between typically developing (TD) siblings. Conventional approaches revealed no significant differences in white matter organizations between individuals with ASD and their unaffected siblings. Bootstrapping revealed a significantly large difference in axial diffusivity in the left stria terminalis between individuals with ASD and their unaffected siblings after accounting for the distribution of differences in axial diffusivity among TD siblings (99.998 percentile). The results remained significant after controlling for multiple comparisons with Bonferroni method. We assumed that one aspect of this tract was associated with the development of a clinical diagnosis. Oxford University Press 2018-06-22 /pmc/articles/PMC6121142/ /pubmed/30184206 http://dx.doi.org/10.1093/scan/nsy048 Text en © The Author(s) (2018). Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Yamagata, Bun
Itahashi, Takashi
Nakamura, Motoaki
Mimura, Masaru
Hashimoto, Ryu-Ichiro
Kato, Nobumasa
Aoki, Yuta
White matter endophenotypes and correlates for the clinical diagnosis of autism spectrum disorder
title White matter endophenotypes and correlates for the clinical diagnosis of autism spectrum disorder
title_full White matter endophenotypes and correlates for the clinical diagnosis of autism spectrum disorder
title_fullStr White matter endophenotypes and correlates for the clinical diagnosis of autism spectrum disorder
title_full_unstemmed White matter endophenotypes and correlates for the clinical diagnosis of autism spectrum disorder
title_short White matter endophenotypes and correlates for the clinical diagnosis of autism spectrum disorder
title_sort white matter endophenotypes and correlates for the clinical diagnosis of autism spectrum disorder
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121142/
https://www.ncbi.nlm.nih.gov/pubmed/30184206
http://dx.doi.org/10.1093/scan/nsy048
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