%0 Conference Paper %1 8781584 %A Jaeger, Sabrina %A Klein, Karsten %A Joos, Lucas %A Zagermann, Johannes %A de Ridder, Michael %A Kim, Jinman %A Yang, Jean %A Pfeil, Ulrike %A Reiterer, Harald %A Schreiber, Falk %B 2019 IEEE Pacific Visualization Symposium (PacificVis) %D 2019 %K 2019 d04 from:christinawarren sfbtrr161 %P 42-46 %R 10.1109/PacificVis.2019.00013 %T Challenges for Brain Data Analysis in VR Environments %U https://ieeexplore.ieee.org/document/8781584 %X 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.

@inproceedings{8781584, 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.}, added-at = {2021-06-28T11:03:05.000+0200}, author = {Jaeger, Sabrina and Klein, Karsten and Joos, Lucas and Zagermann, Johannes and de Ridder, Michael and Kim, Jinman and Yang, Jean and Pfeil, Ulrike and Reiterer, Harald and Schreiber, Falk}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2baef20f77b7b8d3ed705e1c1c95b97bc/sfbtrr161}, booktitle = {2019 IEEE Pacific Visualization Symposium (PacificVis)}, doi = {10.1109/PacificVis.2019.00013}, interhash = {6206f9fbad2c633411f3fe116c9e60f9}, intrahash = {baef20f77b7b8d3ed705e1c1c95b97bc}, keywords = {2019 d04 from:christinawarren sfbtrr161}, pages = {42-46}, timestamp = {2022-09-08T07:20:32.000+0200}, title = {Challenges for Brain Data Analysis in VR Environments}, url = {https://ieeexplore.ieee.org/document/8781584}, year = 2019 }