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Playing video games in a neuroimaging environment is both scientifically promising and technically challenging. Primary among these challenges is the need to use scanner-compatible devices to register player inputs, which limits the type of games that can be comfortably played in a scanner and often reduces the ecological validity of video game tasks. In this paper, we introduce an MRI- and MEG-compatible video game controller that is made exclusively of 3D-printed and commercially available parts, and we release the design files and documentations in the goal of making its production accessible to any research team with minimal engineering resources. In line with the open science philosophy, we made this work accessible under an Open Source Hardware license that aims to promote accessibility and reproducibility. Additionally, we validated the responsiveness and scanner-compatibility of our controller by comparing it to a reference, non-MRI compatible controller, and by assessing the quality of the data recorded with and without the use of the said controller. The analysis of response latencies showed reliable button press accuracies. A higher latency was detected on button releases, both for long and short button presses although this effect was small enough as not to affect gameplay in most situations. Analysis of subject motion during fMRI recordings of various tasks showed that the use of our controller didn’t increase the amount of motion produced. We hope that this tool will stimulate further neuroimaging studies of video games tasks by improving both their accessibility and their validity.
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |