Data integration through brain atlasing: Human Brain Project tools and strategies

被引:32
|
作者
Bjerke, Ingvild E. [1 ]
Ovsthus, Martin [1 ]
Papp, Eszter A. [1 ]
Yates, Sharon C. [1 ]
Silvestri, Ludovico [2 ]
Fiorilli, Julien [3 ]
Pennartz, Cyriel M. A. [3 ]
Pavone, Francesco S. [3 ]
Puchades, Maja A. [1 ]
Leergaard, Trygve B. [1 ]
Bjaalie, Jan G. [1 ]
机构
[1] Univ Oslo, Inst Basic Med Sci, Dept Mol Med, Oslo, Norway
[2] European Lab Nonlinear Spect, Sesto Fiorentino, Italy
[3] Univ Amsterdam, SILS Ctr Neurosci, Cognit & Syst Neurosci Grp, Amsterdam, Netherlands
基金
美国国家科学基金会;
关键词
Brain atlasing; Data integration; Neuroinformatics; WAXHOLM SPACE ATLAS; FRAMEWORK;
D O I
10.1016/j.eurpsy.2018.02.004
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
The Human Brain Project (HBP), an EU Flagship Initiative, is currently building an infrastructure that will allow integration of large amounts of heterogeneous neuroscience data. The ultimate goal of the project is to develop a unified multi-level understanding of the brain and its diseases, and beyond this to emulate the computational capabilities of the brain. Reference atlases of the brain are one of the key components in this infrastructure. Based on a new generation of three-dimensional (3D) reference atlases, new solutions for analyzing and integrating brain data are being developed. HBP will build services for spatial query and analysis of brain data comparable to current online services for geospatial data. The services will provide interactive access to a wide range of data types that have information about anatomical location tied to them. The 3D volumetric nature of the brain, however, introduces a new level of complexity that requires a range of tools for making use of and interacting with the atlases. With such new tools, neuroscience research groups will be able to connect their data to atlas space, share their data through online data systems, and search and find other relevant data through the same systems. This new approach partly replaces earlier attempts to organize research data based only on a set of semantic terminologies describing the brain and its subdivisions. (c) 2018 The Authors. Published by Elsevier Masson SAS. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:70 / 76
页数:7
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