Angulo Diego A, Schneider Cyril, Oliver James H, Charpak Nathalie, Hernandez Jose T
IMAGINE, Systems and Computing Engineering, Universidad de los Andes Bogota, Colombia.
LCNS, CHUL Quebec, QC, Canada.
Front Neuroinform. 2016 Aug 23;10:36. doi: 10.3389/fninf.2016.00036. eCollection 2016.
Brain research typically requires large amounts of data from different sources, and often of different nature. The use of different software tools adapted to the nature of each data source can make research work cumbersome and time consuming. It follows that data is not often used to its fullest potential thus limiting exploratory analysis. This paper presents an ancillary software tool called BRAVIZ that integrates interactive visualization with real-time statistical analyses, facilitating access to multi-facetted neuroscience data and automating many cumbersome and error-prone tasks required to explore such data. Rather than relying on abstract numerical indicators, BRAVIZ emphasizes brain images as the main object of the analysis process of individuals or groups. BRAVIZ facilitates exploration of trends or relationships to gain an integrated view of the phenomena studied, thus motivating discovery of new hypotheses. A case study is presented that incorporates brain structure and function outcomes together with different types of clinical data.
脑科学研究通常需要来自不同来源、且往往具有不同性质的大量数据。使用适应每个数据源性质的不同软件工具会使研究工作繁琐且耗时。因此,数据常常无法得到充分利用,从而限制了探索性分析。本文介绍了一种名为BRAVIZ的辅助软件工具,它将交互式可视化与实时统计分析相结合,便于获取多方面的神经科学数据,并自动执行探索此类数据所需的许多繁琐且易出错的任务。BRAVIZ并非依赖抽象的数值指标,而是强调脑图像是个体或群体分析过程的主要对象。BRAVIZ有助于探索趋势或关系,以获得对所研究现象的综合视图,从而推动新假设的发现。本文还介绍了一个案例研究,该研究将脑结构和功能结果与不同类型的临床数据结合在一起。
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