Evaluating the angular power spectrum of cortical folding

C. Madan
{"title":"Evaluating the angular power spectrum of cortical folding","authors":"C. Madan","doi":"10.32470/ccn.2019.1177-0","DOIUrl":null,"url":null,"abstract":"The most defining feature of the cortex is its folding structure. While these peaks and valleys can be coarsely characterised using measures of cortical structure such as gyrification and fractal dimensionality, these are not directly sensitive to the different scales of folding that comprise the brain’s cortical structure. Here we developed an approach for characterising the angular power spectrum of cortical folding using spherical harmonics and informed by prior research investigating the cosmic microwave background. In this work, we ultimately yielded a single summary measure that is sensitive to minor folds along the cortical gyri and sulci and is sensitive to agerelated differences in cortical structure.","PeriodicalId":281121,"journal":{"name":"2019 Conference on Cognitive Computational Neuroscience","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Conference on Cognitive Computational Neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32470/ccn.2019.1177-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The most defining feature of the cortex is its folding structure. While these peaks and valleys can be coarsely characterised using measures of cortical structure such as gyrification and fractal dimensionality, these are not directly sensitive to the different scales of folding that comprise the brain’s cortical structure. Here we developed an approach for characterising the angular power spectrum of cortical folding using spherical harmonics and informed by prior research investigating the cosmic microwave background. In this work, we ultimately yielded a single summary measure that is sensitive to minor folds along the cortical gyri and sulci and is sensitive to agerelated differences in cortical structure.
评估皮质折叠的角功率谱
大脑皮层最显著的特征是它的折叠结构。虽然这些波峰和波谷可以使用诸如旋转和分形维数等皮质结构的测量来粗略地表征,但它们对构成大脑皮质结构的不同折叠尺度并不直接敏感。在此,我们开发了一种利用球面谐波表征皮层折叠角功率谱的方法,并借鉴了先前对宇宙微波背景的研究。在这项工作中,我们最终得出了一个单一的总结性测量,该测量对沿皮质回和脑沟的轻微褶皱敏感,并对皮质结构的相关差异敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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