白质的结构-功能耦合揭示了自闭症谱系障碍中的低连接性。

IF 6.3 1区 医学 Q1 GENETICS & HEREDITY
Peng Qing, Xiaodong Zhang, Qi Liu, Linghong Huang, Dan Xu, Jiao Le, Keith M Kendrick, Hua Lai, Weihua Zhao
{"title":"白质的结构-功能耦合揭示了自闭症谱系障碍中的低连接性。","authors":"Peng Qing, Xiaodong Zhang, Qi Liu, Linghong Huang, Dan Xu, Jiao Le, Keith M Kendrick, Hua Lai, Weihua Zhao","doi":"10.1186/s13229-024-00620-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder associated with alterations in structural and functional coupling in gray matter. However, despite the detectability and modulation of brain signals in white matter, the structure-function coupling in white matter in autism remains less explored.</p><p><strong>Methods: </strong>In this study, we investigated structural-functional coupling in white matter (WM) regions, by integrating diffusion tensor data that contain fiber orientation information from WM tracts, with functional connectivity tensor data that reflect local functional anisotropy information. Using functional and diffusion magnetic resonance images, we analyzed a cohort of 89 ASD and 63 typically developing (TD) individuals from the Autism Brain Imaging Data Exchange II (ABIDE-II). Subsequently, the associations between structural-functional coupling in WM regions and ASD severity symptoms assessed by Autism Diagnostic Observation Schedule-2 were examined via supervised machine learning in an independent test cohort of 29 ASD individuals. Furthermore, we also compared the performance of multi-model features (i.e. structural-functional coupling) with single-model features (i.e. functional or structural models alone).</p><p><strong>Results: </strong>In the discovery cohort (ABIDE-II), individuals with ASD exhibited widespread reductions in structural-functional coupling in WM regions compared to TD individuals, particularly in commissural tracts (e.g. corpus callosum), association tracts (sagittal stratum), and projection tracts (e.g. internal capsule). Notably, supervised machine learning analysis in the independent test cohort revealed a significant correlation between these alterations in structural-functional coupling and ASD severity scores. Furthermore, compared to single-model features, the integration of multi-model features (i.e., structural-functional coupling) performed best in predicting ASD severity scores.</p><p><strong>Conclusion: </strong>This work provides novel evidence for atypical structural-functional coupling in ASD in white matter regions, further refining our understanding of the critical role of WM networks in the pathophysiology of ASD.</p>","PeriodicalId":18733,"journal":{"name":"Molecular Autism","volume":"15 1","pages":"43"},"PeriodicalIF":6.3000,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11451199/pdf/","citationCount":"0","resultStr":"{\"title\":\"Structure-function coupling in white matter uncovers the hypoconnectivity in autism spectrum disorder.\",\"authors\":\"Peng Qing, Xiaodong Zhang, Qi Liu, Linghong Huang, Dan Xu, Jiao Le, Keith M Kendrick, Hua Lai, Weihua Zhao\",\"doi\":\"10.1186/s13229-024-00620-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder associated with alterations in structural and functional coupling in gray matter. However, despite the detectability and modulation of brain signals in white matter, the structure-function coupling in white matter in autism remains less explored.</p><p><strong>Methods: </strong>In this study, we investigated structural-functional coupling in white matter (WM) regions, by integrating diffusion tensor data that contain fiber orientation information from WM tracts, with functional connectivity tensor data that reflect local functional anisotropy information. Using functional and diffusion magnetic resonance images, we analyzed a cohort of 89 ASD and 63 typically developing (TD) individuals from the Autism Brain Imaging Data Exchange II (ABIDE-II). Subsequently, the associations between structural-functional coupling in WM regions and ASD severity symptoms assessed by Autism Diagnostic Observation Schedule-2 were examined via supervised machine learning in an independent test cohort of 29 ASD individuals. Furthermore, we also compared the performance of multi-model features (i.e. structural-functional coupling) with single-model features (i.e. functional or structural models alone).</p><p><strong>Results: </strong>In the discovery cohort (ABIDE-II), individuals with ASD exhibited widespread reductions in structural-functional coupling in WM regions compared to TD individuals, particularly in commissural tracts (e.g. corpus callosum), association tracts (sagittal stratum), and projection tracts (e.g. internal capsule). Notably, supervised machine learning analysis in the independent test cohort revealed a significant correlation between these alterations in structural-functional coupling and ASD severity scores. Furthermore, compared to single-model features, the integration of multi-model features (i.e., structural-functional coupling) performed best in predicting ASD severity scores.</p><p><strong>Conclusion: </strong>This work provides novel evidence for atypical structural-functional coupling in ASD in white matter regions, further refining our understanding of the critical role of WM networks in the pathophysiology of ASD.</p>\",\"PeriodicalId\":18733,\"journal\":{\"name\":\"Molecular Autism\",\"volume\":\"15 1\",\"pages\":\"43\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2024-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11451199/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular Autism\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13229-024-00620-6\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Autism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13229-024-00620-6","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

摘要

背景:自闭症谱系障碍(ASD)是一种与灰质结构和功能耦合改变有关的神经发育障碍。然而,尽管白质中的大脑信号具有可探测性和调节性,但对自闭症患者白质中结构-功能耦合的研究仍然较少:在这项研究中,我们通过整合包含自闭症白质束纤维方向信息的扩散张量数据和反映局部功能各向异性信息的功能连接张量数据,研究了白质(WM)区域的结构-功能耦合。我们使用功能和弥散磁共振图像分析了自闭症脑成像数据交换 II(ABIDE-II)中的 89 名 ASD 患者和 63 名典型发育(TD)患者。随后,我们在一个由 29 名 ASD 患者组成的独立测试队列中,通过监督机器学习检验了 WM 区域的结构-功能耦合与自闭症诊断观察表-2 评估的 ASD 严重症状之间的关联。此外,我们还比较了多模型特征(即结构-功能耦合)与单模型特征(即单独的功能或结构模型)的性能:结果:在发现队列(ABIDE-II)中,与TD患者相比,ASD患者在WM区域的结构-功能耦合方面表现出广泛的降低,尤其是在神经束(如胼胝体)、联结束(矢状层)和投射束(如内囊)。值得注意的是,在独立测试队列中进行的监督机器学习分析表明,这些结构-功能耦合的改变与 ASD 严重程度评分之间存在显著相关性。此外,与单一模型特征相比,多模型特征(即结构-功能耦合)的整合在预测ASD严重程度评分方面表现最佳:这项研究为ASD白质区域的非典型结构-功能耦合提供了新的证据,进一步完善了我们对WM网络在ASD病理生理学中的关键作用的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structure-function coupling in white matter uncovers the hypoconnectivity in autism spectrum disorder.

Background: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder associated with alterations in structural and functional coupling in gray matter. However, despite the detectability and modulation of brain signals in white matter, the structure-function coupling in white matter in autism remains less explored.

Methods: In this study, we investigated structural-functional coupling in white matter (WM) regions, by integrating diffusion tensor data that contain fiber orientation information from WM tracts, with functional connectivity tensor data that reflect local functional anisotropy information. Using functional and diffusion magnetic resonance images, we analyzed a cohort of 89 ASD and 63 typically developing (TD) individuals from the Autism Brain Imaging Data Exchange II (ABIDE-II). Subsequently, the associations between structural-functional coupling in WM regions and ASD severity symptoms assessed by Autism Diagnostic Observation Schedule-2 were examined via supervised machine learning in an independent test cohort of 29 ASD individuals. Furthermore, we also compared the performance of multi-model features (i.e. structural-functional coupling) with single-model features (i.e. functional or structural models alone).

Results: In the discovery cohort (ABIDE-II), individuals with ASD exhibited widespread reductions in structural-functional coupling in WM regions compared to TD individuals, particularly in commissural tracts (e.g. corpus callosum), association tracts (sagittal stratum), and projection tracts (e.g. internal capsule). Notably, supervised machine learning analysis in the independent test cohort revealed a significant correlation between these alterations in structural-functional coupling and ASD severity scores. Furthermore, compared to single-model features, the integration of multi-model features (i.e., structural-functional coupling) performed best in predicting ASD severity scores.

Conclusion: This work provides novel evidence for atypical structural-functional coupling in ASD in white matter regions, further refining our understanding of the critical role of WM networks in the pathophysiology of ASD.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Molecular Autism
Molecular Autism GENETICS & HEREDITY-NEUROSCIENCES
CiteScore
12.10
自引率
1.60%
发文量
44
审稿时长
17 weeks
期刊介绍: Molecular Autism is a peer-reviewed, open access journal that publishes high-quality basic, translational and clinical research that has relevance to the etiology, pathobiology, or treatment of autism and related neurodevelopmental conditions. Research that includes integration across levels is encouraged. Molecular Autism publishes empirical studies, reviews, and brief communications.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信