BCI-based neurofeedback (NFB) is a promising tool for counteracting neurological symptoms and informing neurorehabilitation strategies. Efforts have been made to improve BCI usability, by providing guidelines and predictors of performance. Yet, neurofeedback remains barely used in clinical settings and by patients in their daily life. In this workshop, we tackled the current challenges in clinical BCI research by identifying and discussing the key methodological and psychobiological aspects to foster its efficacy. We dealt with conceptual biases in clinical protocol designs. All the resources are available on [Github](https://github.com/mccorsi/BCI-2023-Clinical-BCI-workshop)!
Pleased to announce with [Sylvain Chevallier](https://sylvchev.github.io) and [Florian Yger](http://www.yger.fr) that our manuscript on our participation to the Clinical BCI Challenge WCCI2020 has been accepted for the next [ICASSP](https://2021.ieeeicassp.org) conference ! The technical report and code about the competition are available [here](https://arxiv.org/abs/2102.06015)
Very pleased to announce with [Sylvain Chevallier](https://sylvchev.github.io) from Univ. Paris-Saclay and [Florian Yger](http://www.yger.fr) from Univ. Paris-Dauphine that our method combining functional connectivity with Riemannian geometry made it 1st to the [Clinical BCI Challenge IEEE WCCI2020](CBCIC2020sites.google.com) (within-subject category) ! More info to come, stay tuned !