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Neuropsychol Rehabil. 2014;24(5):678-720. doi: 10.1080/09602011.2014.892885. Epub 2014 Mar 14.
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Dopamine prediction error responses integrate subjective value from different reward dimensions.多巴胺预测误差反应整合了来自不同奖励维度的主观价值。
Proc Natl Acad Sci U S A. 2014 Feb 11;111(6):2343-8. doi: 10.1073/pnas.1321596111. Epub 2014 Jan 22.
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Resting state networks' corticotopy: the dual intertwined rings architecture.静息态网络的皮质拓扑结构:双交织环结构。
PLoS One. 2013 Jul 24;8(7):e67444. doi: 10.1371/journal.pone.0067444. Print 2013.
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Spatially constrained hierarchical parcellation of the brain with resting-state fMRI.基于静息态 fMRI 的脑区分层分区:空间约束方法
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Oxytocin increases anxiety to unpredictable threat.催产素会增加对不可预测威胁的焦虑感。
Mol Psychiatry. 2013 Sep;18(9):958-60. doi: 10.1038/mp.2012.156. Epub 2012 Nov 13.
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Obesity and addiction: neurobiological overlaps.肥胖与成瘾:神经生物学的重叠。
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An anatomically comprehensive atlas of the adult human brain transcriptome.人类大脑转录组学的解剖学综合图谱
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Automated cognome construction and semi-automated hypothesis generation.自动化认知组构建和半自动假说生成。
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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.

DOI:10.1016/j.jneumeth.2014.12.008
PMID:25528112
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4418971/
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。