Determination of Diffusion Weighted Magnetic Resonance Imaging Based Biomarkers of Mild Cognitive Impairment in Parkinson’s Disease

Ozge Can Kaplan, Dilek Betul Arslan, Sevim Cengiz, Ani Kiçik, Emel Erdogdu, G. H. Hatay, Z. Tufekcioglu, B. Bilgiç, H. Hanagasi, H. Gurvit, T. Demiralp, A. Uluğ, E. O. Isik
{"title":"Determination of Diffusion Weighted Magnetic Resonance Imaging Based Biomarkers of Mild Cognitive Impairment in Parkinson’s Disease","authors":"Ozge Can Kaplan, Dilek Betul Arslan, Sevim Cengiz, Ani Kiçik, Emel Erdogdu, G. H. Hatay, Z. Tufekcioglu, B. Bilgiç, H. Hanagasi, H. Gurvit, T. Demiralp, A. Uluğ, E. O. Isik","doi":"10.1109/BIYOMUT.2017.8479249","DOIUrl":null,"url":null,"abstract":"This study aims to specify biomarkers of Parkinson's disease mild cognitive impairment (PD-MCI) based on fractional anisotropy (FA) and mean diffusivity (MD) maps obtained from diffusion weighted magnetic resonance imaging (DWMRI). T1 and diffusion weighted MR images collected from 27 cognitively normal Parkinson's disease (PD-CN), 32 mild cognitively impaired Parkinson's disease (PD-MCI), and 18 healthy control (HC) volunteers, at a clinical 3T MR scanner, were processed using FMRIB Software Library (FSL)'s toolboxes. Average regional values of FA and MD maps and tract based spatial statistics (TBSS) were utilized to define statistically significant differences between the participant subject groups.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIYOMUT.2017.8479249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study aims to specify biomarkers of Parkinson's disease mild cognitive impairment (PD-MCI) based on fractional anisotropy (FA) and mean diffusivity (MD) maps obtained from diffusion weighted magnetic resonance imaging (DWMRI). T1 and diffusion weighted MR images collected from 27 cognitively normal Parkinson's disease (PD-CN), 32 mild cognitively impaired Parkinson's disease (PD-MCI), and 18 healthy control (HC) volunteers, at a clinical 3T MR scanner, were processed using FMRIB Software Library (FSL)'s toolboxes. Average regional values of FA and MD maps and tract based spatial statistics (TBSS) were utilized to define statistically significant differences between the participant subject groups.
基于扩散加权磁共振成像的帕金森病轻度认知障碍生物标志物测定
本研究旨在根据扩散加权磁共振成像(DWMRI)获得的分数各向异性(FA)和平均扩散率(MD)图确定帕金森病轻度认知障碍(PD-MCI)的生物标志物。使用FMRIB软件库(FSL)的工具箱对27名认知正常帕金森病患者(PD-CN)、32名轻度认知受损帕金森病患者(PD-MCI)和18名健康对照(HC)志愿者在临床3T MR扫描仪上收集的T1和扩散加权MR图像进行处理。使用FA和MD地图的平均区域值和基于区域的空间统计(TBSS)来定义参与者受试者组之间的统计学显著差异。
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:604180095
Book学术官方微信