Watson Marcus R, Traczewski Nathan, Dunghana Seema, Boroujeni Kianoush Banaie, Neumann Adam, Wen Xuan, Womelsdorf Thilo
Dep. of Psychology, Vanderbilt University, Nashville, TN 37240.
Dep. of Neuroscience, Princeton University, Princeton.
bioRxiv. 2023 Nov 13:2023.11.09.566422. doi: 10.1101/2023.11.09.566422.
Understanding the neurobiological substrates of psychiatric disorders requires comprehensive evaluations of cognitive and motivational functions in preclinical research settings. The translational validity of such evaluations will be supported by (1) tasks with high construct validity that are engaging and easy to teach to human and nonhuman participants, (2) software that enables efficient switching between multiple tasks in single sessions, (3) software that supports tasks across a broad range of physical experimental setups, and (4) by platform architectures that are easily extendable and customizable to encourage future optimization and development.
We describe the (), a software platform designed to meet these requirements. It leverages the Unity video game engine and C# programming language to (1) support immersive and engaging tasks for humans and nonhuman primates, (2) allow experimenters or participants to switch between multiple tasks within-session, (3) generate builds that function across computers, tablets, and websites, and (4) is freely available online with documentation and tutorials for users and developers. M-USE includes a task library with seven pre-existing tasks assessing cognitive and motivational constructs of perception, attention, working memory, cognitive flexibility, motivational and affective self-control, relational long-term memory, and visuo-spatial problem solving.
M-USE was used to test NHPs on up to six tasks per session, all available as part of the Task Library, and to extract performance metrics for all major cognitive and motivational constructs spanning the Research Domain Criteria (RDoC) of the National Institutes of Mental Health.
Other experiment design and control systems exist, but do not provide the full range of features available in M-USE, including a pre-existing task library for cross-species assessments; the ability to switch seamlessly between tasks in individual sessions; cross-platform build capabilities; license-free availability; and its leveraging of video-engine capabilities used to gamify tasks.
The new multi-task platform facilitates cross-species translational research for understanding the neurobiological substrates of higher cognitive and motivational functions.
在临床前研究环境中,了解精神疾病的神经生物学基础需要对认知和动机功能进行全面评估。此类评估的转化效度将得到以下几点支持:(1)具有高结构效度且引人入胜、易于向人类和非人类参与者传授的任务;(2)能够在单次实验中高效切换多个任务的软件;(3)支持广泛物理实验设置的任务的软件;(4)易于扩展和定制以鼓励未来优化和开发的平台架构。
我们描述了 (),这是一个旨在满足这些要求的软件平台。它利用Unity视频游戏引擎和C#编程语言来:(1)支持人类和非人类灵长类动物的沉浸式且引人入胜的任务;(2)允许实验者或参与者在实验过程中在多个任务之间切换;(3)生成可在计算机、平板电脑和网站上运行的版本;(4)在线免费提供,为用户和开发者提供文档和教程。M-USE包括一个任务库,其中有七个预先存在的任务,用于评估感知、注意力、工作记忆、认知灵活性、动机和情感自我控制、关系长期记忆以及视觉空间问题解决等认知和动机结构。
M-USE用于每次实验对多达六个任务测试非人类灵长类动物,所有这些任务都是任务库的一部分,并提取涵盖美国国立精神卫生研究所研究领域标准(RDoC)的所有主要认知和动机结构的性能指标。
其他实验设计和控制系统确实存在,但未提供M-USE中可用的全部功能,包括用于跨物种评估的预先存在的任务库;在单个实验中在任务之间无缝切换的能力;跨平台构建能力;免费许可可用性;以及利用视频引擎功能将任务游戏化。
新的多任务平台有助于跨物种转化研究,以了解更高认知和动机功能的神经生物学基础。