High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain–Computer Interface
Active brain-computer interface (BCI) provides a natural way for direct communications between the brain and devices. However, its detectable intention is very limited, let alone of detecting dual intentions from a single electroencephalography (EEG) feature. This study aims to develop time-based ac...
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IEEE
2025-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
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| Online Access: | https://ieeexplore.ieee.org/document/10843282/ |
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| author | Jiayuan Meng Xiaoyu Li Simiao Li Xinan Fan Minpeng Xu Dong Ming |
| author_facet | Jiayuan Meng Xiaoyu Li Simiao Li Xinan Fan Minpeng Xu Dong Ming |
| author_sort | Jiayuan Meng |
| collection | DOAJ |
| description | Active brain-computer interface (BCI) provides a natural way for direct communications between the brain and devices. However, its detectable intention is very limited, let alone of detecting dual intentions from a single electroencephalography (EEG) feature. This study aims to develop time-based active BCI, and further investigate the feasibility of detecting time-movement dual intentions using a single EEG feature. A time-movement synchronization experiment was designed, which contained the intentions of both time (500 ms vs. 1000 ms) and movement (left vs. right). Behavioural and EEG data of 22 healthy participants were recorded and analyzed in both the before (BT) and after (AT) timing prediction training sessions. Consequently, compared to the BT sessions, AT sessions led to substantially smaller absolute deviation time behaviourally, along with larger high-frequency event-related desynchronization (ERD) in frontal-motor areas, and significantly improved decoding accuracy of time. Moreover, AT sessions achieved enhanced motor-related contralateral dominance of event-related potentials (ERP) and ERDs than the BT, which illustrated a synergistic relationship between the two intentions. The feature of 20–60 Hz power can simultaneously reflect the time and movement intentions, achieving a 73.27% averaged four-classification accuracy (500 ms-left vs. 500 ms-right vs. 1000 ms-left vs.1000 ms-right), with the highest up to 93.81%. The results initiatively verified the dual role of high-frequency (20–60 Hz) power in representing both the time and movement intentions. It not only broadens the detectable intentions of active BCI, but also enables it to read user’s mind concurrently from two information dimensions. |
| format | Article |
| id | doaj-art-d044c0c6c1c649a28aa56fc432cb3216 |
| institution | Kabale University |
| issn | 1534-4320 1558-0210 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
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| series | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| spelling | doaj-art-d044c0c6c1c649a28aa56fc432cb32162025-02-04T00:00:11ZengIEEEIEEE Transactions on Neural Systems and Rehabilitation Engineering1534-43201558-02102025-01-013363063910.1109/TNSRE.2025.352999710843282High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain–Computer InterfaceJiayuan Meng0https://orcid.org/0000-0002-1135-6518Xiaoyu Li1Simiao Li2https://orcid.org/0009-0000-1185-4528Xinan Fan3Minpeng Xu4https://orcid.org/0000-0001-6746-4828Dong Ming5https://orcid.org/0000-0002-8192-2538Tianjin University, Tianjin, ChinaTianjin University, Tianjin, ChinaTianjin University, Tianjin, ChinaBeijing Machine and Equipment Institute, Beijing, ChinaTianjin University, Tianjin, ChinaTianjin University, Tianjin, ChinaActive brain-computer interface (BCI) provides a natural way for direct communications between the brain and devices. However, its detectable intention is very limited, let alone of detecting dual intentions from a single electroencephalography (EEG) feature. This study aims to develop time-based active BCI, and further investigate the feasibility of detecting time-movement dual intentions using a single EEG feature. A time-movement synchronization experiment was designed, which contained the intentions of both time (500 ms vs. 1000 ms) and movement (left vs. right). Behavioural and EEG data of 22 healthy participants were recorded and analyzed in both the before (BT) and after (AT) timing prediction training sessions. Consequently, compared to the BT sessions, AT sessions led to substantially smaller absolute deviation time behaviourally, along with larger high-frequency event-related desynchronization (ERD) in frontal-motor areas, and significantly improved decoding accuracy of time. Moreover, AT sessions achieved enhanced motor-related contralateral dominance of event-related potentials (ERP) and ERDs than the BT, which illustrated a synergistic relationship between the two intentions. The feature of 20–60 Hz power can simultaneously reflect the time and movement intentions, achieving a 73.27% averaged four-classification accuracy (500 ms-left vs. 500 ms-right vs. 1000 ms-left vs.1000 ms-right), with the highest up to 93.81%. The results initiatively verified the dual role of high-frequency (20–60 Hz) power in representing both the time and movement intentions. It not only broadens the detectable intentions of active BCI, but also enables it to read user’s mind concurrently from two information dimensions.https://ieeexplore.ieee.org/document/10843282/Active brain-computer interfacehigh-frequency powersingle-interval timing predictionmovementdual intention |
| spellingShingle | Jiayuan Meng Xiaoyu Li Simiao Li Xinan Fan Minpeng Xu Dong Ming High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain–Computer Interface IEEE Transactions on Neural Systems and Rehabilitation Engineering Active brain-computer interface high-frequency power single-interval timing prediction movement dual intention |
| title | High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain–Computer Interface |
| title_full | High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain–Computer Interface |
| title_fullStr | High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain–Computer Interface |
| title_full_unstemmed | High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain–Computer Interface |
| title_short | High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain–Computer Interface |
| title_sort | high frequency power reflects dual intentions of time and movement for active brain x2013 computer interface |
| topic | Active brain-computer interface high-frequency power single-interval timing prediction movement dual intention |
| url | https://ieeexplore.ieee.org/document/10843282/ |
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