脑沟形态测量揭示自闭症谱系障碍的脑结构基础

G. Auzias, M. Viellard, S. Takerkart, N. Villeneuve, F. Poinso, D. Fonseca, N. Girard, C. Deruelle
{"title":"脑沟形态测量揭示自闭症谱系障碍的脑结构基础","authors":"G. Auzias, M. Viellard, S. Takerkart, N. Villeneuve, F. Poinso, D. Fonseca, N. Girard, C. Deruelle","doi":"10.1109/BHI.2014.6864302","DOIUrl":null,"url":null,"abstract":"Autism Spectrum Disorder is associated with an altered early brain development. However, the specific cortical structure abnormalities underlying this disorder remain largely unknown. Here, we designed a multi-modal segmentation pipeline adapted to anatomical MR images acquired in a clinical setting in order to apply state-of-the-art sulcus-based morphometry methods to a large cohort of 73 young children. We computed multiple descriptors of the geometry of each sulcus, hereby separating the folding measurement into distinct factors such as the length and depth of the sulcus. We demonstrated that several sulci showed a significant and consistent pattern of abnormalities across our different geometrical features. These structural abnormalities are confined to regions that are functionally relevant with respect to cognitive disorders in ASD, and might thus represent a set of complementary anatomical markers of this pathology.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"976 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Brain structural underpinnings of autism spectrum disorder revealed by sulcus-based morphometry\",\"authors\":\"G. Auzias, M. Viellard, S. Takerkart, N. Villeneuve, F. Poinso, D. Fonseca, N. Girard, C. Deruelle\",\"doi\":\"10.1109/BHI.2014.6864302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Autism Spectrum Disorder is associated with an altered early brain development. However, the specific cortical structure abnormalities underlying this disorder remain largely unknown. Here, we designed a multi-modal segmentation pipeline adapted to anatomical MR images acquired in a clinical setting in order to apply state-of-the-art sulcus-based morphometry methods to a large cohort of 73 young children. We computed multiple descriptors of the geometry of each sulcus, hereby separating the folding measurement into distinct factors such as the length and depth of the sulcus. We demonstrated that several sulci showed a significant and consistent pattern of abnormalities across our different geometrical features. These structural abnormalities are confined to regions that are functionally relevant with respect to cognitive disorders in ASD, and might thus represent a set of complementary anatomical markers of this pathology.\",\"PeriodicalId\":177948,\"journal\":{\"name\":\"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)\",\"volume\":\"976 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BHI.2014.6864302\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BHI.2014.6864302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

自闭症谱系障碍与早期大脑发育的改变有关。然而,这种疾病背后的具体皮层结构异常在很大程度上仍然未知。在这里,我们设计了一个多模态分割管道,适用于临床环境中获得的解剖MR图像,以便将最先进的基于沟的形态测量方法应用于73名幼儿的大队列。我们计算了每个沟的几何形状的多个描述符,从而将折叠测量分为不同的因素,如沟的长度和深度。我们证明了几个沟在我们不同的几何特征中显示出显著和一致的异常模式。这些结构异常局限于与ASD认知障碍功能相关的区域,因此可能代表了该病理的一组互补的解剖学标记。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brain structural underpinnings of autism spectrum disorder revealed by sulcus-based morphometry
Autism Spectrum Disorder is associated with an altered early brain development. However, the specific cortical structure abnormalities underlying this disorder remain largely unknown. Here, we designed a multi-modal segmentation pipeline adapted to anatomical MR images acquired in a clinical setting in order to apply state-of-the-art sulcus-based morphometry methods to a large cohort of 73 young children. We computed multiple descriptors of the geometry of each sulcus, hereby separating the folding measurement into distinct factors such as the length and depth of the sulcus. We demonstrated that several sulci showed a significant and consistent pattern of abnormalities across our different geometrical features. These structural abnormalities are confined to regions that are functionally relevant with respect to cognitive disorders in ASD, and might thus represent a set of complementary anatomical markers of this pathology.
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
自引率
0.00%
发文量
0
×
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