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A Virtual Radial Arm Maze for the Study of Multiple Memory Systems in a Functional Magnetic Resonance Imaging Environment
Author(s) -
Dongrong Xu,
Xuejun Hao,
Zhishun Wang,
Yunsuo Duan,
Feng Liu,
Rachel Marsh,
Shan Yu,
Bradley S. Peterson
Publication year - 2012
Publication title -
international journal of virtual reality
Language(s) - English
Resource type - Journals
eISSN - 2727-9979
pISSN - 1081-1451
DOI - 10.20870/ijvr.2012.11.2.2844
Subject(s) - computer science , functional magnetic resonance imaging , upload , standardization , software , human–computer interaction , virtual reality , radial arm maze , cognition , virtual machine , comparability , computer hardware , operating system , working memory , psychology , neuroscience , mathematics , combinatorics
An increasing number of functional brain imaging studies are employing computer-based virtual reality (VR) to study changes in brain activity during the performance of high-level psychological and cognitive tasks. We report the development of a VR radial arm maze that adapts for human use in a scanning environment with the same general experimental design of behavioral tasks as that has been used with remarkable effectiveness for the study of multiple memory systems in rodents. The software platform is independent of specific computer hardware and operating systems, as we aim to provide shared access to this technology by the research community. We hope that doing so will provide greater standardization of software platform and study paradigm that will reduce variability and improve the comparability of findings across studies. We report the details of the design and implementation of this platform and provide information for downloading of the system for demonstration and research applications.

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