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LinkRbrain:大脑的多尺度数据整合器。

LinkRbrain: multi-scale data integrator of the brain.

作者信息

Mesmoudi Salma, Rodic Mathieu, Cioli Claudia, Cointet Jean-Philippe, Yarkoni Tal, Burnod Yves

机构信息

Sorbonnes University Paris 1, MATRICE Project, ISC-PIF, 113, rue Nationale, 75013 Paris, France.

Sorbonnes University Paris 1, MATRICE Project, ISC-PIF, 113, rue Nationale, 75013 Paris, France.

出版信息

J Neurosci Methods. 2015 Feb 15;241:44-52. doi: 10.1016/j.jneumeth.2014.12.008. Epub 2014 Dec 18.

Abstract

BACKGROUND

LinkRbrain is an open-access web platform for multi-scale data integration and visualization of human brain data. This platform integrates anatomical, functional, and genetic knowledge produced by the scientific community.

NEW METHOD

The linkRbrain platform has two major components: (1) a data aggregation component that integrates multiple open databases into a single platform with a unified representation; and (2) a website that provides fast multi-scale integration and visualization of these data and makes the results immediately available.

RESULTS

LinkRbrain allows users to visualize functional networks or/and genetic expression over a standard brain template (MNI152). Interrelationships between these components based on topographical overlap are displayed using relational graphs. Moreover, linkRbrain enables comparison of new experimental results with previous published works.

COMPARISON WITH EXISTING METHODS

Previous tools and studies illustrate the opportunities of data mining across multiple tiers of neuroscience and genetic information. However, a global systematic approach is still missing to gather cognitive, topographical, and genetic knowledge in a common framework in order to facilitate their visualization, comparison, and integration.

CONCLUSIONS

LinkRbrain is an efficient open-access tool that affords an integrative understanding of human brain function.

摘要

背景

LinkRbrain是一个用于人类大脑数据多尺度数据整合与可视化的开放获取网络平台。该平台整合了科学界产生的解剖学、功能学和遗传学知识。

新方法

LinkRbrain平台有两个主要组件:(1)一个数据聚合组件,它将多个开放数据库整合到一个具有统一表示的单一平台中;(2)一个网站,该网站提供这些数据的快速多尺度整合与可视化,并使结果立即可用。

结果

LinkRbrain允许用户在标准大脑模板(MNI152)上可视化功能网络或/和基因表达。基于地形重叠的这些组件之间的相互关系使用关系图显示。此外,LinkRbrain能够将新的实验结果与先前发表的作品进行比较。

与现有方法的比较

先前的工具和研究说明了跨多层神经科学和遗传信息进行数据挖掘的机会。然而,仍然缺少一种全局系统的方法来在一个通用框架中收集认知、地形和遗传知识,以便于它们的可视化、比较和整合。

结论

LinkRbrain是一个高效的开放获取工具,能够对人类大脑功能进行综合理解。

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