Marie-Constance Corsi

Marie-Constance Corsi

Research scientist

NERV Lab

Inria Paris

Paris Brain Institute

About me

I am an Inria research scientist at Paris Brain Institute in the NERV 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 previously served 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!

Interests

  • Closed-loop systems (Brain-Computer Interfaces & Neurofeedback)
  • Linear and non-linear functional connectivity
  • Multimodal integration
  • Machine learning
  • Biomedical instrumentation

Education

  • 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)

News

The NERV Lab at Graz!

This week, the NERV Lab moved to Austria to participate to the 9th Graz BCI Conference! It was a pleasure to attend this event with this vibrant community!

First, we organized a workshop dedicated to open-source tools for BCI. All the materials are available here: https://t.co/FdHDMJt45Y Then, two of our rising stars presented their studies during a dedicated oral session: Camilla Mannino presented her work (#18) on the use of neuronal avalanches in the context of Brain-Computer Interfaces and Tristan Venot presented his work (#31) on dynamic brain networks in motor imagery-based BCI.

A huge thank you to the organizers, in particular to Gernot Müller-Putz and his team for putting together such a great event! We go back to Paris with so many new ideas (and chocolates)! Looking forward to the 10th edition of this insightful conference! Auf wiedersehen! 🇦🇹

Talks

Workshops & Tutorials

Designing Brain-Computer Interfaces, from zero to hero!

A guided tour of recent & innovative open-source tools helping to design and use EEG-based Brain-Computer Interfaces (BCI). All the resources are available on Github!

Designing Brain-Computer Interfaces, from theory to real-life scenarios

Open source tools for brain signal analysis have greatly matured in recent years. In this two half-days workshop, a guided tour was proposed on the design of EEG-based Brain-Computer Interfaces (BCI) using open-source tools. . All the resources are available on Github!

Challenges in BCI-based neurofeedback applications for neurological disorders

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!

Offline and online tools for real-world BCI applications

The ecosystem of open source tools for brain signal analysis has greatly matured in recent years and has been essential in many instances of modern research. In this workshop, we showed to which extent the BCI community can benefit from open science practices. All the resources are available on Github!

Brain-Computer Interface (BCI) using OpenViBE, an open-source software platform

On December 14th, with Arthur Desbois, we had the pleasure to organize a workshop on OpenViBE and Brain-Computer Interfaces research during the PracticalMEEG conference in Aix-en-Provence! All the resources are available on Github!

OpenViBE, an open-source software platform for Brain-Computer Interfaces

On October 6th, with Arthur Desbois, we had the pleasure to organize a workshop on OpenViBE and Brain-Computer Interfaces research during the CuttingEEG conference in the beautiful city of Aix-en-Provence! If you could not make it, all the resources are available on Github! You will have access to our slides, the OpenViBE scenarios and many more resources helping you to learn more about the BCI research by browsing the dedicated github page

Projects

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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Magnetoencephalography-based interpretable automated differential diagnosis in neurodegenerative diseases

Automating the diagnostic process steps has been of interest for research grounds and to help manage the healthcare systems. Improved …
Magnetoencephalography-based interpretable automated differential diagnosis in neurodegenerative diseases

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