首页> 外文会议>IEEE Engineering in Medicine and Biology Society., Conference. >Cortical Activation Pattern for Grasping during Observation, Imagery, Execution, FES, and Observation-FES integrated BCI : An fNIRS pilot study
【24h】

Cortical Activation Pattern for Grasping during Observation, Imagery, Execution, FES, and Observation-FES integrated BCI : An fNIRS pilot study

机译:用于在观察,图像,执行,FES和观察FE中抓住的皮质激活模式集成BCI:FNIRS试点研究

获取原文

摘要

Passive movement, action observation and motor imagery as well as motor execution have been suggested to facilitate the motor function of human brain. The purpose of this study is to investigate the cortical activation patterns of these four modes using a functional near-infrared spectroscopy (fNIRS) system. Seven healthy volunteers underwent optical brain imaging by fNIRS. Passive movements were provided by a functional electrical stimulation (FES). Results demonstrated that while all movement modes commonly activated premotor cortex, there were considerable differences between modes. The pattern of neural activation in motor execution was best resembled by passive movement, followed by motor imagery, and lastly by action observation. This result indicates that action observation may be the least preferred way to activate the sensorimotor cortices. Thus, in order to show the feasibility of motor facilitation by a brain computer interface (BCI) for an extreme case, we paradoxically adopted the observation as a control input of the BCI. An observation-FES integrated BCI activated sensorimotor system stronger than observation but slightly weaker than FES. This limitation should be overcome to utilize the observation-FES integrated BCI as an active motor training method.
机译:已经提出了被动运动,动作观察和电动机图像以及电动机执行以促进人脑的运动功能。本研究的目的是使用功能近红外光谱(FNIR)系统来研究这四种模式的皮质激活模式。七个健康的志愿者接受了Fnirs的光学脑成像。通过功能电刺激(FES)提供被动运动。结果表明,虽然所有运动模式通常激活的热激素皮质,模式之间存在相当大的差异。电动机执行中的神经激活模式最好是被动运动,然后是电动机图像,并且最后通过动作观察。该结果表明,动作观察可以是激活传感器皮质的最不优选方式。因此,为了通过脑电脑接口(BCI)来展示用于极端情况的电机促进的可行性,我们矛盾地采用了作为BCI的控制输入的观察。观察FE集成的BCI激活的感光镜系统比观察更强,但比FES略微弱。应克服这种限制以利用观察FE集成BCI作为主动电机训练方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号