MEG

Glad to be awarded a BCI Society Best Oral presentation Award on our work on markers of BCI training based on functional connectivity !

Truly honoured to have received the #vBCI2021 best oral presentation award ! Thank you very much to the BCI Society for this award and for having put together this incredible conference ! Slides are available in the Talks section.

Talk on M/EEG data analysis during the next Cortico days !

Glad to announce that I will give a talk during the day dedicated to early-career researchers (JJC-ICON’2021) of the [Cortico days 2021](https://www.cortico.fr/journees-cortico-2021/). I will present an overview of the M/EEG signals and the associated data analysis. The video and the materials of my talk are available [here](https://www.cortico.fr/videos-jjcicon-2021/) !

Abstract accepted for oral presentation in Networks 2021 conference !

Pleased to announce that I will give a presentation during the [Networks 2021](https://networks2021.net) conference. I will present my last piece of work on the use of multilayer appproaches to elicit patterns of BCI learning. More info to come !

Paper on core-periphery reorganization in M/EEG multiplex brain networks during BCI training accepted in the Journal of Neural Engineering !

Our last piece deals with the combination of MEG with EEG to track brain networks reorganization during BCI training. The accepted manuscript is now published in the Journal of Neural Engineering [here](http://iopscience.iop.org/article/10.1088/1741-2552/abef39), and available in open access [here](https://hal.archives-ouvertes.fr/hal-03171591v1)

Glad to be awarded a BCI Society Student Award on our work on markers of BCI training based on functional connectivity !

This Student Award is based on my accepted 2020 abstract submission. I will give a presentation during the next Virtual BCI meeting, scheduled next June ! For more information regarding this work, our study is available [here](https://hal.archives-ouvertes.fr/hal-02438794/).

Just up on ArXiv, our latest work on brain network-based markers of BCI training !

Glad to present our last piece of work in which we combined MEG and EEG data to track brain networks reorganization during BCI training ! Preprint available [here](http://arxiv.org/abs/2010.13459)

Neurophysiological markers of longitudinal processes

Functional connectivity and brain network reorganization underlying longitudinal processes, mainly BCI training

Improving neural decoders

Development of methods to enhance subjets' mental state classification. They can be divided in two main approaches: the integration of multimodal information and the search for alternative features

Helium 4 optically-pumped magnetometers

Development of cryogenic-free sensors for magnetocardiography and magnetoencephalography

Functional disconnection of associative cortical areas predicts performance during BCI training

Brain-computer interfaces (BCIs) have been largely developed to allow communication, control, and neurofeedback in human beings. Despite their great potential, BCIs perform inconsistently across individuals and the neural processes that enable humans …