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Updated: Jun 4, 2026

STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces
Published on: March 10, 2026
Reorganization of functional connectivity during the motor task using EEG time-frequency cross mutual information
Chia-Feng Lu1, Shin Teng, Chih-I Hung
1Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, ROC.
Objective:
This study investigates the functional organization of cortical networks during self-determinant arm movement using the time sequences of the alpha (8-12 Hz) and beta (16-25 Hz) bands.
Methods:
The time-frequency cross mutual information (TFCMI) method was used to estimate the EEG functional connectivity in the alpha and beta bands for seven healthy subjects during four functional states: the resting, preparing, movement-onset, and movement-offset states.
Results:
In the preparing state, the maintenance of the central-executive network (CEN, prefrontal-parietal connection) suppressed the motor network in the alpha band to plan the next movement, whereas the CEN was deactivated in the beta band to retain visual attention (the frontal-occipital connection). A significant decrease of the CEN in the alpha band occurred after a visual cue in the movement-onset state, followed by a significant increase in motor-network connectivity in the beta band until the movement-offset state.
Conclusions:
The temporal-spectral modulation mechanism allows the brain to manifest multiple functions subject to energy budget.
Significance:
The TFCMI method was employed to estimate EEG functional connectivity and effectively demonstrate the reorganization process between four functional states.
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