Virtual Reality for Understanding Multidimensional Spatiotemporal Phenomena in Neuroscience Zahra Aminolroaya Department of Computer Science University of Calgary Calgary Alberta Canada zahra.aminolroaya@ucalgary.ca Seher Dawar Department of Computer Science University of Calgary Calgary Alberta Canada seher.dawar@ucalgary.ca Colin B. Josephson Cumming School of Medicine University of Calgary Calgary Alberta Canada cbjoseph@ucalgary.ca Samuel Wiebe Cumming School of Medicine University of Calgary Calgary Alberta Canada swiebe@ucalgary.ca Frank Maurer Department of Computer Science University of Calgary Calgary Alberta Canada fmaurer@ucalgary.ca Figure 1: a) Traditional approach for the analysis of brain spatial and temporal datasets with two different tools. b) Our approach for understanding spatiotemporal phenomena in a brain with the situated context information. ABSTRACT Neuroscientists traditionally use information representations on 2D displays to analyze multivariate spatial and temporal datasets for an evaluation stage before neurosurgery. However, it is challenging to mentally integrate the information from these datasets. Our immersive tool aims to help neuroscientists to understand spatiotemporal phenomena inside a brain during the evaluation. We refined our tool through different phases by gathering feedback from the medical experts. Early feedback from neurologists suggests that using virtual reality for epilepsy presurgical evaluation can be useful in the future. CCS CONCEPTS Human-centered computing Virtual reality • Human- centered computing → Scientific visualization • Human-centered computing Information visualization KEYWORDS Multidimensional datasets; spatiotemporal datasets; immersive analytics; virtual reality; neuroscience; epilepsy presurgical evaluation ACM Reference format: Zahra Aminolroaya, Seher Dawar, Colin B. Josephson, Samuel Wiebe and Frank Maurer. 2020. Virtual Reality for Understanding Multidimensional Spatiotemporal Phenomena in Neuroscience. In Proceedings of 2020 ACM Interactive Surfaces and Spaces (ISS20), November 811, 2020, Virtual Event, Portugal. ACM, New York, NY, USA. 4 pages. https://doi.org/10.1145/3380867.3426423 Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions@acm.org. ISS '20 Companion, November 811, 2020, Virtual Event, Portugal © 2020 Association for Computing Machinery. ACM ISBN 978-1-4503-7526-9/20/11…$15.00 https://doi.org/10.1145/3380867.3426423 a b Demonstration ISS '20 Companion, November 8–11, 2020, Virtual Event, Portugal 85