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不同的沉浸式环境如何影响皮层内脑机接口。

How different immersive environments affect intracortical brain computer interfaces.

作者信息

Tortolani Ariana F, Kunigk Nicolas G, Sobinov Anton R, Boninger Michael L, Bensmaia Sliman J, Collinger Jennifer L, Hatsopoulos Nicholas G, Downey John E

机构信息

Committee on Computational Neuroscience, University of Chicago, Chicago, IL.

Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA.

出版信息

bioRxiv. 2024 Jul 31:2024.07.30.605911. doi: 10.1101/2024.07.30.605911.

DOI:10.1101/2024.07.30.605911
PMID:39131333
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11312620/
Abstract

As brain-computer interface (BCI) research advances, many new applications are being developed. Tasks can be performed in different environments, and whether a BCI user can switch environments seamlessly will influence the ultimate utility of a clinical device. Here we investigate the importance of the immersiveness of the virtual environment used to train BCI decoders on the resulting decoder and its generalizability between environments. Two participants who had intracortical electrodes implanted in their precentral gyrus used a BCI to control a virtual arm, either viewed immersively through virtual reality goggles or at a distance on a flat television monitor. Each participant performed better with a decoder trained and tested in the environment they had used the most prior to the study, one for each environment type. The neural tuning to the desired movement was minimally influenced by the immersiveness of the environment. Finally, in further testing with one of the participants, we found that decoders trained in one environment generalized well to the other environment, but the order in which the environments were experienced within a session mattered. Overall, experience with an environment was more influential on performance than the immersiveness of the environment, but BCI performance generalized well after accounting for experience.

摘要

随着脑机接口(BCI)研究的进展,许多新应用正在被开发出来。任务可以在不同环境中执行,而BCI用户能否无缝切换环境将影响临床设备的最终效用。在此,我们研究用于训练BCI解码器的虚拟环境的沉浸感对所得解码器及其在不同环境间的通用性的重要性。两名在中央前回植入皮层内电极的参与者使用BCI控制虚拟手臂,要么通过虚拟现实护目镜沉浸式观看,要么在平板电视显示器上远距离观看。在研究前使用最多的那种环境中训练和测试解码器时,每名参与者的表现都更好,每种环境类型各有一名参与者。对期望运动的神经调谐受环境沉浸感的影响极小。最后,在对其中一名参与者的进一步测试中,我们发现,在一种环境中训练的解码器能很好地推广到另一种环境,但在一个实验环节中体验环境的顺序很重要。总体而言,环境体验对性能的影响比环境沉浸感更大,但在考虑体验因素后,BCI性能能很好地推广。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f2/11312620/f9543d3f9176/nihpp-2024.07.30.605911v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f2/11312620/375d420078ff/nihpp-2024.07.30.605911v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f2/11312620/5fe4e75d3bab/nihpp-2024.07.30.605911v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f2/11312620/3963d85418a5/nihpp-2024.07.30.605911v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f2/11312620/29491d5d83ff/nihpp-2024.07.30.605911v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f2/11312620/f9543d3f9176/nihpp-2024.07.30.605911v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f2/11312620/375d420078ff/nihpp-2024.07.30.605911v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f2/11312620/5fe4e75d3bab/nihpp-2024.07.30.605911v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f2/11312620/3963d85418a5/nihpp-2024.07.30.605911v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f2/11312620/29491d5d83ff/nihpp-2024.07.30.605911v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f2/11312620/f9543d3f9176/nihpp-2024.07.30.605911v1-f0005.jpg

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本文引用的文献

1
Microstimulation of human somatosensory cortex evokes task-dependent, spatially patterned responses in motor cortex.人类躯体感觉皮层的微刺激会在运动皮层中引起与任务相关的、具有空间模式的反应。
Nat Commun. 2023 Nov 10;14(1):7270. doi: 10.1038/s41467-023-43140-2.
2
A high-performance speech neuroprosthesis.高性能言语神经假体
Nature. 2023 Aug;620(7976):1031-1036. doi: 10.1038/s41586-023-06377-x. Epub 2023 Aug 23.
3
Shared Control of Bimanual Robotic Limbs With a Brain-Machine Interface for Self-Feeding.通过脑机接口实现双手机器人肢体的共享控制以进行自主进食
Front Neurorobot. 2022 Jun 28;16:918001. doi: 10.3389/fnbot.2022.918001. eCollection 2022.
4
Embodiment of supernumerary robotic limbs in virtual reality.虚拟现实中超冗余机械臂的体现。
Sci Rep. 2022 Jun 27;12(1):9769. doi: 10.1038/s41598-022-13981-w.
5
Sense of agency for intracortical brain-machine interfaces.皮层内脑机接口的能动感
Nat Hum Behav. 2022 Apr;6(4):565-578. doi: 10.1038/s41562-021-01233-2. Epub 2022 Jan 19.
6
A brain-computer interface that evokes tactile sensations improves robotic arm control.脑机接口能唤起触觉,从而改善机械臂控制。
Science. 2021 May 21;372(6544):831-836. doi: 10.1126/science.abd0380.
7
High-performance brain-to-text communication via handwriting.通过手写实现高性能的脑-文本通信。
Nature. 2021 May;593(7858):249-254. doi: 10.1038/s41586-021-03506-2. Epub 2021 May 12.
8
Quantifying the alignment error and the effect of incomplete somatosensory feedback on motor performance in a virtual brain-computer-interface setup.量化在虚拟脑机接口设置中运动表现的对准误差和不完全躯体感觉反馈的影响。
Sci Rep. 2021 Feb 25;11(1):4614. doi: 10.1038/s41598-021-84288-5.
9
Observing Actions Through Immersive Virtual Reality Enhances Motor Imagery Training.沉浸式虚拟现实观察动作可增强运动想象训练。
IEEE Trans Neural Syst Rehabil Eng. 2020 Jul;28(7):1614-1622. doi: 10.1109/TNSRE.2020.2998123.
10
The Motor Cortex Has Independent Representations for Ipsilateral and Contralateral Arm Movements But Correlated Representations for Grasping.运动皮层对同侧和对侧手臂运动具有独立的表示,但对抓握具有相关的表示。
Cereb Cortex. 2020 Sep 3;30(10):5400-5409. doi: 10.1093/cercor/bhaa120.