{"title":"Graphical Structural Learning of rs-fMRI data in Heavy Smokers","authors":"Yiru Gong, Qimin Zhang, Huili Zhen, Zheyan Liu, Shaohan Chen","doi":"arxiv-2409.08395","DOIUrl":null,"url":null,"abstract":"Recent studies revealed structural and functional brain changes in heavy\nsmokers. However, the specific changes in topological brain connections are not\nwell understood. We used Gaussian Undirected Graphs with the graphical lasso\nalgorithm on rs-fMRI data from smokers and non-smokers to identify significant\nchanges in brain connections. Our results indicate high stability in the\nestimated graphs and identify several brain regions significantly affected by\nsmoking, providing valuable insights for future clinical research.","PeriodicalId":501172,"journal":{"name":"arXiv - STAT - Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - STAT - Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.08395","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
Recent studies revealed structural and functional brain changes in heavy
smokers. However, the specific changes in topological brain connections are not
well understood. We used Gaussian Undirected Graphs with the graphical lasso
algorithm on rs-fMRI data from smokers and non-smokers to identify significant
changes in brain connections. Our results indicate high stability in the
estimated graphs and identify several brain regions significantly affected by
smoking, providing valuable insights for future clinical research.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
