A rodent brain-machine interface paradigm to study the impact of paraplegia on BMI performance.
A rodent brain-machine interface paradigm to study the impact of paraplegia on BMI performance.
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DOI：
10.1016/j.jneumeth.2018.05.015
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发表时间：
2018-08-01
影响因子：
3
通讯作者：
Moxon KA
中科院分区：
文献类型：
--
作者：
Bridges NR;Meyers M;Garcia J;Shewokis PA;Moxon KA
大多数脑机接口(BMI)专注于非损伤动物的上半身功能，而不是满足截瘫患者的下肢功能需求。需要一种新的BMI任务，该任务涉及下半身并利用已建立的啮齿动物脊髓损伤(SCI)模型来研究改善BMI性能的方法。设计了一个倾斜BMI任务，该任务随机地将不同类型的倾斜应用于平台，解码所应用的倾斜类型，并在解码器正确分类倾斜类型的情况下对平台进行授权。这项任务是在雌性老鼠身上进行测试的，而且相对自然，因此不需要动物学习一项新技能。它是自我奖励的，因此不需要额外的奖励，取消食物或水的限制，这对脊椎动物来说尤其困难。最后，通过制定倾斜参数来调整任务的难度。这一新颖的BMI任务在没有关于肢体在空间位置的视觉反馈的情况下以双边方式接触大脑皮层，动物在SCI前后都学会了提高他们的表现。与现有方法相比：大多数BMI任务主要涉及一侧大脑半球，是上半身，严重依赖视觉反馈，不进行SCI动物模型的研究，并且需要非自然的外部动机，如水来奖励表现的改善。我们的任务是解决这些差距。本文提出的BMI范式将使研究人员能够研究脊髓损伤后的可塑性与BMI训练期间的可塑性之间的交互作用。
Most brain machine interfaces (BMI) focus on upper body function in non-injured animals, not addressing the lower limb functional needs of those with paraplegia. A need exists for a novel BMI task that engages the lower body and takes advantage of well-established rodent spinal cord injury (SCI) models to study methods to improve BMI performance. A tilt BMI task was designed that randomly applies different types of tilts to a platform, decodes the tilt type applied and rights the platform if the decoder correctly classifies the tilt type. The task was tested on female rats and is relatively natural such that it does not require the animal to learn a new skill. It is self-rewarding such that there is no need for additional rewards, eliminating food or water restriction, which can be especially hard on spinalized rats. Finally, task difficulty can be adjusted by making the tilt parameters. This novel BMI task bilaterally engages the cortex without visual feedback regarding limb position in space and animals learn to improve their performance both pre and post-SCI.Comparison with Existing Methods: Most BMI tasks primarily engage one hemisphere, are upper-body, rely heavily on visual feedback, do not perform investigations in animal models of SCI, and require nonnaturalistic extrinsic motivation such as water rewarding for performance improvement. Our task addresses these gaps. The BMI paradigm presented here will enable researchers to investigate the interaction of plasticity after SCI and plasticity during BMI training on performance.
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