Chargée de Recherche CNRS, University of Bordeaux
Contact:
Email: camille.jeunet@u-bordeaux.fr
Team:
Mococo (Motor Control and Cognition)
Domain:
Cognitive Neuroscience, Human-Computer Interaction
Research axis:
Cognitive and motor learning
Scientific expertise:
- Neurofeedback
- Brain-Computer Interfaces
- EEG
Projects:
- Neurofeedback to enhance athletes’ cognitive and motor performance
- Neurofeedback to reduce motor symptoms in patients with Parkinson Disease
- Acceptability of brain-computer interfaces as tools for stroke rehabilitation
- Cognitive and neurophysiological correlates of neurofeedback learning
Selected Publications:
- Camille Jeunet, Luca Tonin, Louis Albert, Ricardo Chavarriaga, Benoit Bideau, et al.. Uncovering EEG Correlates of Covert Attention in Soccer Goalkeepers: Towards Innovative Sport Training Procedures. Scientific Reports, Nature Publishing Group, 2020, 10 (1), pp.1705. ⟨10.1038/s41598-020-58533-2⟩. ⟨hal-02464753⟩
- Camille Jeunet, Bertrand Glize, Aileen Mcgonigal, Jean-Marie Batail, Jean-Arthur Micoulaud-Franchi. Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: Theoretical background, applications and prospects. Neurophysiologie Clinique/Clinical Neurophysiology, Elsevier Masson, 2019, 49 (2), pp.125-136. ⟨10.1016/j.neucli.2018.10.068⟩. ⟨hal-01919018⟩
- Fabien Lotte, Camille Jeunet, Ricardo Chavarriaga, Laurent Bougrain, Dave Thompson, et al.. Turning negative into positives! Exploiting "negative" results in Brain-Machine Interface (BMI) research. Brain-Computer Interfaces, Taylor & Francis, In press. ⟨hal-02375400⟩
- Camille Jeunet, Louis Albert, Ferran Argelaguet Sanz, Anatole Lécuyer. " Do you feel in control? " : Towards Novel Approaches to Characterise, Manipulate and Measure the Sense of Agency in Virtual Environments. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2018, 24 (4), pp.1486-1495. ⟨10.1109/TVCG.2018.2794598⟩. ⟨hal-01679143v2⟩
- Camille Jeunet, Emilie Jahanpour, Fabien Lotte. Why Standard Brain-Computer Interface (BCI) Training Protocols Should be Changed: An Experimental Study. Journal of Neural Engineering, IOP Publishing, 2016. ⟨hal-01302154⟩
- Camille Jeunet, Bernard N’Kaoua, Fabien Lotte. Advances in User-Training for Mental-Imagery Based BCI Control: Psychological and Cognitive Factors and their Neural Correlates. Progress in brain research, Elsevier, 2016. ⟨hal-01302138v2⟩