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Updated: Jun 6, 2026

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke
Published on: September 1, 2023
Localization of class-related mu-rhythm desynchronization in motor imagery based brain-computer interface sessions
Stefan Haufe1, Ryota Tomioka, Thorsten Dickhaus
1Berlin Institute of Technology, Franklinstr. 28/29, D-10587, Germany. haufe@cs.tu-berlin.de
Abstract:
We localize the sources of class-dependent event-related desynchronisation (ERD) of the mu-rhythm related to different types of motor imagery in Brain-Computer Interfacing (BCI) sessions. Our approach is based on localization of single-trial Fourier coefficients using sparse basis field expansions (S-FLEX). The analysis reveals focal sources in the sensorimotor cortices, a finding which can be regarded as a proof for the expected neurophysiological origin of the BCI control signal. As a technical contribution, we extend S-FLEX to the multiple measurement case in a way that the activity of different frequency bins within the mu-band is coherently localized.

