Functional Connectivity-Guided Band Selection for Motor Imagery Brain-Computer Interfaces

·ArXiv q-bio··

arXiv:2605.00746v1 Announce Type: new Abstract: Reliable control in motor imagery brain-computer interfaces (MI-BCIs) requires the precise decoding of user-specific neural rhythms, which vary significantly across individuals. The Common Spatial Pattern (CSP) algorithm is a cornerstone of MI-BCI decoding, yet its performance depends strongly on the spectral range of the input EEG data. Although Filter Bank CSP (FBCSP) extends this as a data-driven decoding framework, its frequency sub-bands are p...

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