High Aptitude Motor-Imagery BCI Users Have Better Visuospatial Memory

被引：0

作者：

Leeuwis, Nikki ^{[1
]}

Alimardani, Maryam ^{[1
]}

机构：

[1] Tilburg Univ, Dept Cognit Sci & Artificial Intelligence, Tilburg, Netherlands

来源：

2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2020年

关键词：

brain-computer interface; motor imagery; spatial ability; visuospatial memory; BCI performance; BCI illiteracy; BRAIN-COMPUTER INTERFACE; DESIGN ORGANIZATION TEST; MENTAL ROTATION; PERFORMANCE; ABILITIES;

D O I：

10.1109/smc42975.2020.9283259

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Brain-computer interfaces (BCI) decode the electrophysiological signals from the brain into an action that is carried out by a computer or robotic device. Motor-imagery BCIs (MI-BCI) rely on the user's imagination of bodily movements, however not all users can generate the brain activity needed to control MI-BCI. This difference in MI-BCI performance among novice users could be due to their cognitive abilities. In this study, the impact of spatial abilities and visuospatial memory on MI-BCI performance is investigated. Fifty-four novice users participated in a MI-BCI task and two cognitive tests. The impact of spatial abilities and visuospatial memory on BCI task error rate in three feedback sessions was measured. Our results showed that spatial abilities, as assessed by the Mental Rotation Test, were not related to MI-BCI performance, however visuospatial memory, assessed by the design organization test, was higher in high aptitude users. Our findings can contribute to optimization of MI-BCI training paradigms through participant screening and cognitive skill training.

引用

页码：1518 / 1523

页数：6

共 22 条

[21] Exploring a Deeper Convolutional Neural Network Architecture with high dropout for Motor Imagery BCI Decoding [J].

Alami, Ramtin ;

Partovi, Andi ;

Goodarzy, Farhad .

2021 9TH IEEE INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI), 2021, :253-257

[22] "Embodied" language processing: Mental motor imagery aptitude predicts word-definition skill for high but not for low imageable words in adolescents [J].

Cayol, Zoe ;

Rotival, Coralie ;

Paulignan, Yves ;

Nazir, Tatjana A. .

BRAIN AND COGNITION, 2020, 145

← 1 2 3 →