大数据和开放科学时代的功能神经影像学:现代概述

IF 4.4 2区 数学 Q1 STATISTICS & PROBABILITY
N. Lazar
{"title":"大数据和开放科学时代的功能神经影像学:现代概述","authors":"N. Lazar","doi":"10.1002/wics.1609","DOIUrl":null,"url":null,"abstract":"In the past 30 years, the statistical analysis of functional neuroimaging data has made much progress, and spurred many new research directions. At the same time, problems with reproducibility and replicability have plagued the field, owing in part to small sample sizes, a plethora of choices at the data preprocessing stage, and overall lack of transparency in reporting. The latter two in particular pose barriers to statisticians who want to become involved in the area. Recent efforts by some in the neuroimaging community to address these problems represent a turning point. This article highlights the current landscape and provides an introduction to some of the relevant resources in “open neuroimaging.”","PeriodicalId":47779,"journal":{"name":"Wiley Interdisciplinary Reviews-Computational Statistics","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Functional neuroimaging in the era of Big Data and Open Science: A modern overview\",\"authors\":\"N. Lazar\",\"doi\":\"10.1002/wics.1609\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the past 30 years, the statistical analysis of functional neuroimaging data has made much progress, and spurred many new research directions. At the same time, problems with reproducibility and replicability have plagued the field, owing in part to small sample sizes, a plethora of choices at the data preprocessing stage, and overall lack of transparency in reporting. The latter two in particular pose barriers to statisticians who want to become involved in the area. Recent efforts by some in the neuroimaging community to address these problems represent a turning point. This article highlights the current landscape and provides an introduction to some of the relevant resources in “open neuroimaging.”\",\"PeriodicalId\":47779,\"journal\":{\"name\":\"Wiley Interdisciplinary Reviews-Computational Statistics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2023-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Wiley Interdisciplinary Reviews-Computational Statistics\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1002/wics.1609\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wiley Interdisciplinary Reviews-Computational Statistics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1002/wics.1609","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0

摘要

过去30年 近年来,功能性神经影像学数据的统计分析取得了很大的进展,并激发了许多新的研究方向。与此同时,再现性和可复制性的问题一直困扰着该领域,部分原因是样本量小,数据预处理阶段的选择过多,以及报告总体缺乏透明度。后两者尤其对想要参与这一领域的统计学家构成了障碍。神经影像学界的一些人最近为解决这些问题所做的努力代表了一个转折点。这篇文章强调了当前的形势,并介绍了“开放神经成像”中的一些相关资源
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional neuroimaging in the era of Big Data and Open Science: A modern overview
In the past 30 years, the statistical analysis of functional neuroimaging data has made much progress, and spurred many new research directions. At the same time, problems with reproducibility and replicability have plagued the field, owing in part to small sample sizes, a plethora of choices at the data preprocessing stage, and overall lack of transparency in reporting. The latter two in particular pose barriers to statisticians who want to become involved in the area. Recent efforts by some in the neuroimaging community to address these problems represent a turning point. This article highlights the current landscape and provides an introduction to some of the relevant resources in “open neuroimaging.”
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
CiteScore
6.20
自引率
0.00%
发文量
31
×
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