Navigation of a Telepresence Robot via Covert Visuospatial Attention and Real-Time fMRI
Navigation of a Telepresence Robot via Covert Visuospatial Attention and Real-Time fMRI
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DOI：
10.1007/s10548-012-0252-z
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发表时间：
2013-01-01
期刊：
影响因子：
2.7
通讯作者：
Ramsey, Nick F.
中科院分区：
文献类型：
--
作者：
Andersson, Patrik;Pluim, Josien P. W.;Ramsey, Nick F.
脑机接口（bci）允许严重神经损伤和无法控制肌肉的人重新获得对环境的一些控制。脑机接口使用者执行一项心理任务来调节大脑活动，这些活动被测量并转化为控制某些外部设备的命令。我们在这里表明，健康的参与者能够通过隐蔽地转移他们的视觉空间注意力来操纵机器人。隐蔽视觉空间注意（COVISA）是一种非常直观的大脑空间导航功能，它不依赖于呈现的刺激或眼球运动。我们的机器人配备了马达和一个摄像头，可以向用户发送视觉反馈，用户可以从远程位置操纵它。我们使用超高场MRI扫描仪（7特斯拉）获得功能磁共振成像信号，并使用支持向量机实时解码。四名几乎没有受过训练的健康受试者成功地将机器人导航到四个目标位置中的至少三个。因此，我们的研究结果表明，使用COVISA BCI可以实现机器人的实时导航。由于fMRI信号的大小已被证明与颅内电极测量信号中伽马频段频谱功率变化的大小有很好的相关性，COVISA概念可能在未来转化为严重瘫痪患者的颅内应用。
Brain-computer interfaces (BCIs) allow people with severe neurological impairment and without ability to control their muscles to regain some control over their environment. The BCI user performs a mental task to regulate brain activity, which is measured and translated into commands controlling some external device. We here show that healthy participants are capable of navigating a robot by covertly shifting their visuospatial attention. Covert Visuospatial Attention (COVISA) constitutes a very intuitive brain function for spatial navigation and does not depend on presented stimuli or on eye movements. Our robot is equipped with motors and a camera that sends visual feedback to the user who can navigate it from a remote location. We used an ultrahigh field MRI scanner (7 Tesla) to obtain fMRI signals that were decoded in real time using a support vector machine. Four healthy subjects with virtually no training succeeded in navigating the robot to at least three of four target locations. Our results thus show that with COVISA BCI, realtime robot navigation can be achieved. Since the magnitude of the fMRI signal has been shown to correlate well with the magnitude of spectral power changes in the gamma frequency band in signals measured by intracranial electrodes, the COVISA concept may in future translate to intracranial application in severely paralyzed people.