健康和闭锁个体巴甫洛夫条件前庭反应皮质激活的二元语义分类。

Cerebral cortex communications Pub Date : 2021-07-23 eCollection Date: 2021-01-01 DOI:10.1093/texcom/tgab046
Natsue Yoshimura, Kaito Umetsu, Alessandro Tonin, Yasuhisa Maruyama, Kyosuke Harada, Aygul Rana, Gowrishankar Ganesh, Ujwal Chaudhary, Yasuharu Koike, Niels Birbaumer
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引用次数: 0

摘要

为了为完全锁定状态(CLIS)患者开发更可靠的脑机接口(BCI),我们提出了一种使用前庭电刺激(GVS)的巴甫洛夫条件反射范式,该范式可以在个体中诱导强烈的平衡扭曲感。我们假设,将双向GVS引起的两种不同感觉与个体的“是”和“否”思想联系起来,将使我们能够强调与“是”和“否”思想相关的大脑活动的差异,从而帮助我们更好地从脑电图(EEG)中区分两者。我们用11名健康参与者和1名CLIS参与者验证了这一假设。我们的研究结果表明,首先,用“是”和“不是”的想法来调节GVS是可能的。其次,即使在没有后续GVS刺激的情况下,个体在条件反射后对“是”或“否”思维的分类也显著提高。我们观察到11名健康个体的平均分类准确率为73.0%,CLIS患者的平均分类准确率为85.3%。这些结果提示基于gvs的巴甫洛夫条件反射的建立及其作为无创脑机接口的可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Binary Semantic Classification Using Cortical Activation with Pavlovian-Conditioned Vestibular Responses in Healthy and Locked-In Individuals.

To develop a more reliable brain-computer interface (BCI) for patients in the completely locked-in state (CLIS), here we propose a Pavlovian conditioning paradigm using galvanic vestibular stimulation (GVS), which can induce a strong sensation of equilibrium distortion in individuals. We hypothesized that associating two different sensations caused by two-directional GVS with the thoughts of "yes" and "no" by individuals would enable us to emphasize the differences in brain activity associated with the thoughts of yes and no and hence help us better distinguish the two from electroencephalography (EEG). We tested this hypothesis with 11 healthy and 1 CLIS participant. Our results showed that, first, conditioning of GVS with the thoughts of yes and no is possible. And second, the classification of whether an individual is thinking "yes" or "no" is significantly improved after the conditioning, even in the absence of subsequent GVS stimulations. We observed average classification accuracy of 73.0% over 11 healthy individuals and 85.3% with the CLIS patient. These results suggest the establishment of GVS-based Pavlovian conditioning and its usability as a noninvasive BCI.

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