Challenges for Brain Data Analysis in VR Environments

Sabrina Jaeger, Karsten Klein, Lucas Joos, Johannes Zagermann, M. D. Ridder, Jinman Kim, J. Yang, Ulrike Pfeil, Harald Reiterer, F. Schreiber
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引用次数: 9

Abstract

Analysing and understanding brain function and disorder is the main focus of neuroscience. Due to the high complexity of the brain, directionality of the signal and changing activity over time, visual exploration and data analysis are difficult. For this reason, a vast amount of research challenges are still unsolved. We explored different challenges of the visual analysis of brain data and the design of corresponding immersive environments in collaboration with experts from the biomedical domain. We built a prototype of an immersive virtual reality environment to explore the design space and to investigate how brain data analysis can be supported by a variety of design choices. Our environment can be used to study the effect of different visualisations and combinations of brain data representation, as for example network layouts, anatomical mapping or time series. As a long-term goal, we aim to aid neuro-scientists in a better understanding of brain function and disorder.
VR环境下大脑数据分析的挑战
分析和理解大脑功能和紊乱是神经科学的主要焦点。由于大脑的高度复杂性,信号的方向性和随时间变化的活动,视觉探索和数据分析是困难的。因此,大量的研究挑战仍未得到解决。我们与生物医学领域的专家合作,探索了大脑数据可视化分析和相应沉浸式环境设计的不同挑战。我们建立了一个沉浸式虚拟现实环境的原型来探索设计空间,并研究如何通过各种设计选择来支持大脑数据分析。我们的环境可以用来研究不同的可视化和大脑数据表示组合的效果,例如网络布局、解剖图或时间序列。作为一个长期目标,我们的目标是帮助神经科学家更好地了解大脑功能和紊乱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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