Challenges for brain data analysis in VR environments

Sabrina Jaeger, Karsten Klein, Lucas Joos, Johannes Zagermann, Michael De Ridder, Jinman Kim, Jean Yang, Ulrike Pfeil, Harald Reiterer, Falk Schreiber

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE Pacific Visualization Symposium, PacificVis 2019
EditorsRoss Maciejewski, Jinwook Seo, Rüdiger Westermann
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages42-46
Number of pages5
ISBN (Electronic)9781538692264
ISBN (Print)9781538692271
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventIEEE Pacific Visualization Symposium 2019 - Bangkok, Thailand
Duration: 23 Apr 201926 Apr 2019
Conference number: 12th
http://research.cbs.chula.ac.th/pvis2019/Home.aspx

Publication series

NameIEEE Pacific Visualization Symposium
PublisherThe Institute of Electrical and Electronics Engineers, Inc.
Volume2019-April
ISSN (Print)2165-8765
ISSN (Electronic)2165-8773

Conference

ConferenceIEEE Pacific Visualization Symposium 2019
Abbreviated titlePacificVis 2019
CountryThailand
CityBangkok
Period23/04/1926/04/19
Internet address

Keywords

  • Brain Activity Analysis
  • Data Visualisation
  • Immersive Analytics
  • Virtual Reality

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