Marie-Constance Corsi

Marie-Constance Corsi

Research scientist


Paris Brain Institute

Inria Paris

About me

I am an Inria research scientist at Paris Brain Institute in the ARAMIS Lab.

My research currently focuses on the development of tools to address the “Brain-Computer Interface (BCI) inefficiency” issue, reflected by a non-negligible portion of users who cannot control the device even after several training sessions. I essentially consider two main approaches: the search for neurophysiological markers of BCI training and the integration of multimodal data to enrich the information provided to the classifier.

I serve as secretary general of the French academic association promoting the advances in BCI, called CORTICO, and as co-chair of the Postdocs and Students Committee of the BCI Society.

You can download my CV in pdf.

Don’t hesitate to contact me if you want any additional information or if you are interested by a research collaboration!


  • Closed-loop systems (Brain-Computer Interfaces & Neurofeedback)
  • Functional connectivity
  • Multimodal integration
  • Biomedical instrumentation


  • PhD in Biomedical instrumentation, 2015

    CEA-LETI (Grenoble, France)

  • MSc in Neuropsychology and Clinical Neurosciences, 2015

    Grenoble Alpes University

  • MEng in Information and Communications Technology for Health, 2012

    IMT Atlantique (Brest, France)


Abstracts accepted for an oral presentation and two posters in the IEEE International Symposium on Biomedical Imaging!

Pleased to announce that I will give a presentation during the next IEEE ISBI conference. I will present my last piece of work in collaboration with F. Yger and S. Chevallier on the application of the FUCONE approach for bimodal M/EEG fusion. This talk will be given during the special session entitled ‘Bimodal functional neuroimaging data fusion: methods and applications’, organized by C. Cury and J. Coloigner. During this conference I will present two posters on this approach and on the use of neuronal avalanche in the BCI context. More info to come soon!

Abstract accepted for oral presentation in the 2023 NeuroFrance Meeting!

Pleased to announce that I will give a presentation during the next NeuroFrance meeting conference. I will present my last piece of work in collaboration with P. Sorrentino on the use of neuronal avalanches to inform BCI performance. More info to come soon!


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

Recent Publications

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Measuring brain critical dynamics to inform Brain-Computer Interfaces

The reconfiguration of large-scale interactions among multiple brain regions underpins complex behavior. It manifests in bursts of …

Riemannian geometry for combining functional connectivity metrics and covariance in BCI