BIDS Manager-Pipeline: A framework for multi-subject analysis in electrophysiology

Aude Jegou , Nicolas Roehri , Samuel Medina Villalon , Bruno Colombet , Bernard Giusiano , Fabrice Bartolomei , Olivier David , Christian-George Bénar
{"title":"BIDS Manager-Pipeline: A framework for multi-subject analysis in electrophysiology","authors":"Aude Jegou ,&nbsp;Nicolas Roehri ,&nbsp;Samuel Medina Villalon ,&nbsp;Bruno Colombet ,&nbsp;Bernard Giusiano ,&nbsp;Fabrice Bartolomei ,&nbsp;Olivier David ,&nbsp;Christian-George Bénar","doi":"10.1016/j.neuri.2022.100072","DOIUrl":null,"url":null,"abstract":"<div><p>Processing large cohorts of data is very important to increase statistical power in neuroscience and neuroimaging. The Brain Imaging Data Structure (BIDS) standard has been developed to facilitate this task, but researchers are still facing the challenge of reusing scripts to analyse data coming from different projects or different centres. Here, our goal was to develop a tool, BIDS Manager-Pipeline, to process automated analyses using open-source research software solutions on several subjects at the same time. BIDS Manager-Pipeline builds upon BIDS Manager, a software recently developed in our lab to collect, organise, and manage multimodal multicentre datasets. When processing data, BIDS Manager-Pipeline coordinates the use of several modules originating from different software environments and executable programs and can thus be considered as a bridge between BIDS datasets and software solutions. Through a graphical user interface, users can filter the subjects of interest in the dataset by ID or by other subject criteria and common input analysis parameters. BIDS Manager-Pipeline first controls whether the selected values can be applied to the selected subset, provided the inputs and the outputs, and then run the process on all selected data. The results of analyses are stored using specifications for BIDS derivatives. In addition, BIDS Manager-Pipeline creates a table gathering the different metrics resulting from the analyses across subjects, for later statistical analyses. In short, BIDS Manager-Pipeline allows processing data from large cohorts, either in basic neuroscience or in clinical research. This framework can take advantage of tools developed by the neuroscience community, by centralizing and facilitating their use.</p></div>","PeriodicalId":74295,"journal":{"name":"Neuroscience informatics","volume":"2 2","pages":"Article 100072"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772528622000346/pdfft?md5=0203a7753d0f04fe5ec794280e84c3bc&pid=1-s2.0-S2772528622000346-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroscience informatics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772528622000346","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

Processing large cohorts of data is very important to increase statistical power in neuroscience and neuroimaging. The Brain Imaging Data Structure (BIDS) standard has been developed to facilitate this task, but researchers are still facing the challenge of reusing scripts to analyse data coming from different projects or different centres. Here, our goal was to develop a tool, BIDS Manager-Pipeline, to process automated analyses using open-source research software solutions on several subjects at the same time. BIDS Manager-Pipeline builds upon BIDS Manager, a software recently developed in our lab to collect, organise, and manage multimodal multicentre datasets. When processing data, BIDS Manager-Pipeline coordinates the use of several modules originating from different software environments and executable programs and can thus be considered as a bridge between BIDS datasets and software solutions. Through a graphical user interface, users can filter the subjects of interest in the dataset by ID or by other subject criteria and common input analysis parameters. BIDS Manager-Pipeline first controls whether the selected values can be applied to the selected subset, provided the inputs and the outputs, and then run the process on all selected data. The results of analyses are stored using specifications for BIDS derivatives. In addition, BIDS Manager-Pipeline creates a table gathering the different metrics resulting from the analyses across subjects, for later statistical analyses. In short, BIDS Manager-Pipeline allows processing data from large cohorts, either in basic neuroscience or in clinical research. This framework can take advantage of tools developed by the neuroscience community, by centralizing and facilitating their use.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
输油管:电生理学多学科分析的框架
处理大量数据对于提高神经科学和神经影像学的统计能力是非常重要的。脑成像数据结构(BIDS)标准是为了促进这项任务而开发的,但是研究人员仍然面临着重用脚本来分析来自不同项目或不同中心的数据的挑战。在这里,我们的目标是开发一个工具,竞价管理管道,处理自动化分析使用开源研究软件解决方案在几个主题在同一时间。我们的实验室最近开发了一款软件,用于收集、组织和管理多模态多中心数据集。在处理数据时,BIDS Manager-Pipeline协调来自不同软件环境和可执行程序的几个模块的使用,因此可以被视为BIDS数据集和软件解决方案之间的桥梁。通过图形用户界面,用户可以按ID或其他主题标准和常用输入分析参数过滤数据集中感兴趣的主题。BIDS Manager-Pipeline首先控制所选值是否可以应用于所选子集,提供输入和输出,然后在所有所选数据上运行流程。分析的结果使用BIDS衍生品的规范进行存储。此外,BIDS Manager-Pipeline创建一个表,收集跨主题分析产生的不同度量,用于以后的统计分析。简而言之,无论是在基础神经科学还是临床研究中,BIDS Manager-Pipeline都可以处理来自大型队列的数据。这个框架可以利用神经科学社区开发的工具,通过集中和促进它们的使用。
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 去求助
来源期刊
Neuroscience informatics
Neuroscience informatics Surgery, Radiology and Imaging, Information Systems, Neurology, Artificial Intelligence, Computer Science Applications, Signal Processing, Critical Care and Intensive Care Medicine, Health Informatics, Clinical Neurology, Pathology and Medical Technology
自引率
0.00%
发文量
0
审稿时长
57 days
期刊最新文献
Editorial Board Contents Integrated analysis of lncRNA-miRNA-mRNA ceRNA network in neurodegenerative diseases Topic modeling of neuropsychiatric diseases related to gut microbiota and gut brain axis using artificial intelligence based BERTopic model on PubMed abstracts Brain network analysis in Parkinson's disease patients based on graph theory
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1