Further Analysis of EEG Patterns during Different Kinesthetic Motor Imagery

Many studies have reported inconsistent results when using kinesthetic motor imagery (KMI) to imagine the same movement. This inconsistency may be due to variations in how individuals perform KMI, which has not been thoroughly compared in previous research. In our previous letter, we reported the results of the initial experiment. Here, we categorized KMI into single-hand KMI (S-KMI) and double-hand KMI (D-KMI) and investigated potential differences using t-tests. To gain a clearer understanding of brain features, we conducted Event-Related Spectral Perturbation (ERSP) analysis and topographic mapping. Additionally, recognizing the importance of model classification accuracy for BCI applications, we performed classification evaluations. The results revealed significant differences between S-KMI and D-KMI, highlighting that different methods for performing KMI were crucial for BCI applications and significantly differed in brain features.

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Publication Details

Journal
IEEJ Transactions on Electronics Information and Systems
Published
2025-05-01
DOI
https://doi.org/10.1541/ieejeiss.145.520
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

Further Analysis of EEG Patterns during Different Kinesthetic Motor Imagery

Phurin Rangpong, Zhuohao Zhang, Pengcheng Li, T. Yagi et al.
IEEJ Transactions on Electronics Information and Systems
EEG and Brain-Computer Interfaces
article

Further Analysis of EEG Patterns during Different Kinesthetic Motor Imagery

Phurin Rangpong, Zhuohao Zhang, Pengcheng Li, T. Yagi, Akima Connelly
article en

Abstract

Many studies have reported inconsistent results when using kinesthetic motor imagery (KMI) to imagine the same movement. This inconsistency may be due to variations in how individuals perform KMI, which has not been thoroughly compared in previous research. In our previous letter, we reported the results of the initial experiment. Here, we categorized KMI into single-hand KMI (S-KMI) and double-hand KMI (D-KMI) and investigated potential differences using t-tests. To gain a clearer understanding of brain features, we conducted Event-Related Spectral Perturbation (ERSP) analysis and topographic mapping. Additionally, recognizing the importance of model classification accuracy for BCI applications, we performed classification evaluations. The results revealed significant differences between S-KMI and D-KMI, highlighting that different methods for performing KMI were crucial for BCI applications and significantly differed in brain features.

IEEJ Transactions on Electronics Information and SystemsVol. 145(5)
Shanghai Institute for Science of Science (CN), Institute of Science Tokyo (JP)
Openalex Percentile: Top 91%
EEG and Brain-Computer Interfaces
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Further Analysis of EEG Patterns during Different Kinesthetic Motor Imagery — Phurin Rangpong, Zhuohao Zhang, et al. · IEEJ Transactions on Electronics Information and Systems (2025) | TGRS Research Map | TGRS