Camille Jeunet

Publications

• Influence of feedback transparency on motor imagery neurofeedback performance: the contribution of agency
  Claire Dussard, Léa Pillette, Cassandra Dumas, Émeline Pierrieau, Laurent Hugueville, Brian Lau, Camille Jeunet-Kelway, Nathalie George.
  J. Neural Eng.. 2024-09-25.
  10.1088/1741-2552/ad7f88
• A BCI challenge for the signal-processing community: Considering the user in the loop
  Fabien Lotte, Camille Jeunet, Jelena Mladenovic, Bernard N'Kaoua, Léa Pillette.
  Signal Processing and Machine Learning for Brain-Machine Interfaces. . : 143-172.
  10.1049/PBCE114E_ch8
• Brain-Computer Interaction and Neuroergonomics
  Fabien Lotte, Camille Jeunet-Kelway.
  Integrated Science. 2024-01-01. : 141-156.
  10.1007/978-3-031-58363-6_10
• The sense of embodiment in Virtual Reality and its assessment methods
  Martin Guy, Jean-Marie Normand, Camille Jeunet-Kelway, Guillaume Moreau.
  Front. Virtual Real.. 2023-12-05. 4
  10.3389/frvir.2023.1141683
• Editorial: Women in brain-computer interfaces
  Zulay R. Lugo, Caterina Cinel, Camille Jeunet, Floriana Pichiorri, Angela Riccio, Selina C. Wriessnegger.
  Front. Hum. Neurosci.. 2023-08-22. 17
  10.3389/fnhum.2023.1260479
• Conscious awareness of others’ actions during observational learning does not benefit motor skill performance
  Arnaud Badets, Camille Jeunet, Françoise Dellu-Hagedorn, Mélissa Ployart, Sandra Chanraud, Arnaud Boutin.
  Consciousness and Cognition. 2023-08-01. 113 : 103553.
  10.1016/j.concog.2023.103553
• Erratum: Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns (PLoS ONE (2015) 10:12 (e0143962) DOI: 10.1371/journal.pone.0143962)
  Camille Jeunet, Bernard N’Kaoua, Sriram Subramanian, Martin Hachet, Fabien Lotte.
  PLoS ONE. 2023-02-23. 18(2) : e0282281.
  10.1371/journal.pone.0282281
• Modelling the acceptability of BCIs for motor rehabilitation after stroke: a large scale study on the general public
  Elise Grevet, Killyam Forge, Sebastien Tadiello, Margaux Izac, Franck Amadieu, Lionel Brunel, Léa Pillette, Jacques Py, David Gasq, Camille Jeunet-Kelway.
  Front. Neuroergonomics. 2023-02-01. 3
  10.3389/fnrgo.2022.1082901
• Editorial: Brain-Computer Interfaces for Non-clinical (Home, Sports, Art, Entertainment, Education, Well-Being) Applications
  Anton Nijholt, Jose Luis Contreras-Vidal, Camille Jeunet, Aleksander Väljamäe.
  Front. Comput. Sci.. 2022-02-25. 4
  10.3389/fcomp.2022.860619
• When should MI-BCI feature optimization include prior knowledge, and which one?
  Camille Benaroch, Maria Sayu Yamamoto, Aline Roc, Pauline Dreyer, Camille Jeunet, Fabien Lotte.
  Brain-Computer Interfaces. 2022-02-14. 9(2) : 115-128.
  10.1080/2326263X.2022.2033073
• EEG Neurofeedback for anxiety disorders and post-traumatic stress disorders: a blueprint for a promising brain based therapy
  J. A. Micoulaud-Franchi, C. Jeunet, A. Pelissolo, T. Ros.
  Curr Psychiatry Rep. 2021-10-29. 23(12)
  10.1007/s11920-021-01299-9
• Influence of the visuo-proprioceptive illusion of movement and motor imagery of the wrist on EEG cortical excitability among healthy participants
  Salomé Le Franc, Mathis Fleury, Camille Jeunet, Simon Butet, Christian Barillot, Isabelle Bonan, Mélanie Cogné, Anatole Lécuyer.
  PLoS ONE. 2021-09-02. 16(9) : e0256723.
  10.1371/journal.pone.0256723
• Heading for motor imagery brain-computer interfaces (MI-BCIs) usable out-of-the-lab: Impact of dry electrode setup on classification accuracy
  Maria-Isabel Casso, Camille Jeunet, Raphaelle N. Roy.
  2021 10th International IEEE/EMBS Conference on Neural Engineering (NER). 2021-05-04.
  10.1109/NER49283.2021.9441410
• Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training
  Camille Benaroch, Khadijeh Sadatnejad, Aline Roc, Aurélien Appriou, Thibaut Monseigne, Smeety Pramij, Jelena Mladenovic, Léa Pillette, Camille Jeunet, Fabien Lotte.
  Front. Hum. Neurosci.. 2021-03-18. 15
  10.3389/fnhum.2021.635653
• Grand Field Challenges for Cognitive Neuroergonomics in the Coming Decade
  Klaus Gramann, Ryan McKendrick, Carryl Baldwin, Raphaëlle N. Roy, Camille Jeunet, Ranjana K. Mehta, Giovanni Vecchiato.
  Front. Neuroergonomics. 2021-03-08. 2
  10.3389/fnrgo.2021.643969
• A review of user training methods in brain computer interfaces based on mental tasks
  Aline Roc, Lea Pillette, Jelena Mladenovic, Camille Benaroch, Bernard N’Kaoua, Camille Jeunet, Fabien Lotte.
  J. Neural Eng.. 2021-02-01. 18(1) : 011002.
  10.1088/1741-2552/abca17
• Assessing the Relevance of Neurophysiological Patterns to Predict Motor Imagery-based BCI Users’ Performance
  Eidan Tzdaka, Camille Benaroch, Camille Jeunet, Fabien Lotte.
  2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2020-10-11.
  10.1109/SMC42975.2020.9283307
• A physical learning companion for Mental-Imagery BCI User Training
  Léa Pillette, Camille Jeunet, Boris Mansencal, Roger N’Kambou, Bernard N’Kaoua, Fabien Lotte.
  International Journal of Human-Computer Studies. 2020-04-01. 136 : 102380.
  10.1016/j.ijhcs.2019.102380
• Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)
  Tomas Ros, Stefanie Enriquez-Geppert, Vadim Zotev, Kymberly D Young, Guilherme Wood, Susan Whitfield-Gabrieli, Feng Wan, Patrik Vuilleumier, François Vialatte, Dimitri Van De Ville, Doron Todder, Tanju Surmeli, James S Sulzer, Ute Strehl, Maurice Barry Sterman, Naomi J Steiner, Bettina Sorger, Surjo R Soekadar, Ranganatha Sitaram, Leslie H Sherlin, Michael Schönenberg, Frank Scharnowski, Manuel Schabus, Katya Rubia, Agostinho Rosa, Miriam Reiner, Jaime A Pineda, Christian Paret, Alexei Ossadtchi, Andrew A Nicholson, Wenya Nan, Javier Minguez, Jean-Arthur Micoulaud-Franchi, David M A Mehler, Michael Lührs, Joel Lubar, Fabien Lotte, David E J Linden, Jarrod A Lewis-Peacock, Mikhail A Lebedev, Ruth A Lanius, Andrea Kübler, Cornelia Kranczioch, Yury Koush, Lilian Konicar, Simon H Kohl, Silivia E Kober, Manousos A Klados, Camille Jeunet, T W P Janssen, Rene J Huster, Kerstin Hoedlmoser, Laurence M Hirshberg, Stephan Heunis, Talma Hendler, Michelle Hampson, Adrian G Guggisberg, Robert Guggenberger, John H Gruzelier, Rainer W Göbel, Nicolas Gninenko, Alireza Gharabaghi, Paul Frewen, Thomas Fovet, Thalía Fernández, Carlos Escolano, Ann-Christine Ehlis, Renate Drechsler, R Christopher deCharms, Stefan Debener, Dirk De Ridder, Eddy J Davelaar, Marco Congedo, Marc Cavazza, Marinus H M Breteler, Daniel Brandeis, Jerzy Bodurka, Niels Birbaumer, Olga M Bazanova, Beatrix Barth, Panagiotis D Bamidis, Tibor Auer, Martijn Arns, Robert T Thibault.
  Brain. 2020-03-16. 143(6) : 1674-1685.
  10.1093/brain/awaa009
• Detecting System Errors in Virtual Reality Using EEG Through Error-Related Potentials
  Hakim Si-Mohammed, Catarina Lopes-Dias, Maria Duarte, Ferran Argelaguet, Camille Jeunet, Gery Casiez, Gernot R Muller-Putz, Anatole Lecuyer, Reinhold Scherer.
  2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). 2020-03-01.
  10.1109/VR46266.2020.00088
• Towards BCI-Based Interfaces for Augmented Reality: Feasibility, Design and Evaluation
  Hakim Si-Mohammed, Jimmy Petit, Camille Jeunet, Ferran Argelaguet, Fabien Spindler, Andeol Evain, Nicolas Roussel, Gery Casiez, Anatole Lecuyer.
  IEEE Trans. Visual. Comput. Graphics. 2020-03-01. 26(3) : 1608-1621.
  10.1109/TVCG.2018.2873737
• Sport Psychology: Technologies Ahead
  Camille Jeunet, Denis Hauw, Jose del R. Millán.
  Front. Sports Act. Living. 2020-02-13. 2
  10.3389/fspor.2020.00010
• Uncovering EEG Correlates of Covert Attention in Soccer Goalkeepers: Towards Innovative Sport Training Procedures
  Camille Jeunet, Luca Tonin, Louis Albert, Ricardo Chavarriaga, Benoît Bideau, Ferran Argelaguet, José del R. Millán, Anatole Lécuyer, Richard Kulpa.
  Sci Rep. 2020-02-03. 10(1)
  10.1038/s41598-020-58533-2
• Editorial – Neurofeedback: a challenge for integrative clinical neurophysiological studies
  Jean-Arthur Micoulaud Franchi, Camille Jeunet, Fabien Lotte.
  Neurophysiologie Clinique. 2020-02-01. 50(1) : 1-3.
  10.1016/j.neucli.2020.01.001
• Working Memory Resource Depletion Effect in Academic Learning: Steps to an Integrated Approach
  André Tricot, Sébastien Puma, Rémi Capa, Michel Audiffren, Nathalie André, Florence Lespiau, Stéphanie Roussel, Camille Jeunet, Emilie Massa, Dominique Bellec, Elisabeth Fonteneau, Pom Charras.
  Communications in Computer and Information Science. 2020-01-01. : 13-26.
  10.1007/978-3-030-62302-9_2
• Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies
  Léa Pillette, Fabien Lotte, Bernard N’Kaoua, Pierre-Alain Joseph, Camille Jeunet, Bertrand Glize.
  NeuroImage: Clinical. 2020-01-01. 28 : 102417.
  10.1016/j.nicl.2020.102417
• Turning negative into positives! Exploiting ‘negative’ results in Brain–Machine Interface (BMI) research
  Fabien Lotte, Camille Jeunet, Ricardo Chavarriaga, Laurent Bougrain, Dave E. Thompson, Reinhold Scherer, Md Rakibul Mowla, Andrea Kübler, Moritz Grosse-Wentrup, Karen Dijkstra, Natalie Dayan.
  Brain-Computer Interfaces. 2019-10-02. 6(4) : 178-189.
  10.1080/2326263X.2019.1697143
• Modélisation des processus cognitifs et neurophysiologiques sous-tendant l’apprentissage neurofeedback : le rôle de l’attention
  C. Jeunet, F. Lotte, J.A. Micoulaud-Franchi.
  Neurophysiologie Clinique. 2019-06-01. 49(3) : 198.
  10.1016/j.neucli.2019.05.048
• EEG neurofeedback research: A fertile ground for psychiatry?
  J.-M. Batail, S. Bioulac, F. Cabestaing, C. Daudet, D. Drapier, M. Fouillen, T. Fovet, A. Hakoun, R. Jardri, C. Jeunet, F. Lotte, E. Maby, J. Mattout, T. Medani, J.-A. Micoulaud-Franchi, J. Mladenovic, L. Perronet, L. Pillette, T. Ros, F. Vialatte.
  L'Encéphale. 2019-06-01. 45(3) : 245-255.
  10.1016/j.encep.2019.02.001
• Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: Theoretical background, applications and prospects
  Camille Jeunet, Bertrand Glize, Aileen McGonigal, Jean-Marie Batail, Jean-Arthur Micoulaud-Franchi.
  Neurophysiologie Clinique. 2019-04-01. 49(2) : 125-136.
  10.1016/j.neucli.2018.10.068
• Defining and Quantifying Users’ Mental Imagery-based BCI skills: a first step
  Fabien Lotte, Camille Jeunet.
  J. Neural Eng.. 2018-06-19. 15(4) : 046030.
  10.1088/1741-2552/aac577
• Using Recent BCI Literature to Deepen our Understanding of Clinical Neurofeedback: A Short Review
  Camille Jeunet, Fabien Lotte, Jean-Marie Batail, Pierre Philip, Jean-Arthur Micoulaud Franchi.
  Neuroscience. 2018-05-01. 378 : 225-233.
  10.1016/j.neuroscience.2018.03.013
•  » Do you feel in control?  » : Towards Novel Approaches to Characterise, Manipulate and Measure the Sense of Agency in Virtual Environments
  Camille Jeunet, Louis Albert, Ferran Argelaguet, Anatole Lecuyer.
  IEEE Trans. Visual. Comput. Graphics. 2018-04-01. 24(4) : 1486-1495.
  10.1109/TVCG.2018.2794598
• Mind the Traps! Design Guidelines for Rigorous BCI Experiments
  Camille Jeunet, Stefan Debener, Fabien Lotte, Jérémie Mattout, Reinhold Scherer, Catharina Zich.
  Brain–Computer Interfaces Handbook. 2018-01-09. : 613-634.
  10.1201/9781351231954-32
• When HCI meets neurotechnologies: What you should know about Brain-Computer Interfaces
  Jérémy Frey, Jelena Mladenović, Fabien Lotte, Camille Jeunet, Léa Pillette.
  Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. 2017-05-06.
  10.1145/3027063.3027100
• Towards a spatial ability training to improve Mental Imagery based Brain-Computer Interface (MI-BCI) performance: A Pilot study
  Suzy Teillet, Fabien Lotte, Bernard N'Kaoua, Camille Jeunet.
  2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2016-10-01.
  10.1109/SMC.2016.7844803
• Human Learning for Brain-Computer Interfaces
  Camille Jeunet, Fabien Lotte, Bernard N'Kaoua.
  Brain–Computer Interfaces 1. 2016-07-29. : 233-250.
  10.1002/9781119144977.ch11
• Why standard brain-computer interface (BCI) training protocols should be changed: An experimental study
  Camille Jeunet, Emilie Jahanpour, Fabien Lotte.
  J. Neural Eng.. 2016-05-11. 13(3) : 036024.
  10.1088/1741-2560/13/3/036024
• Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their neural correlates
  C. Jeunet, B. N’Kaoua, F. Lotte.
  Progress in Brain Research. 2016-01-01. : 3-35.
  10.1016/bs.pbr.2016.04.002
• Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns
  Camille Jeunet, Bernard N’Kaoua, Sriram Subramanian, Martin Hachet, Fabien Lotte.
  PLoS ONE. 2015-12-01. 10(12) : e0143962.
  10.1371/journal.pone.0143962
• Towards Explanatory Feedback for User Training in Brain-Computer Interfaces
  Julia Schumacher, Camille Jeunet, Fabien Lotte.
  2015 IEEE International Conference on Systems, Man, and Cybernetics. 2015-10-01.
  10.1109/SMC.2015.550
• Continuous Tactile Feedback for Motor-Imagery based Brain-Computer Interaction in a Multitasking Context
  Camille Jeunet, Chi Vi, Daniel Spelmezan, Bernard N’Kaoua, Fabien Lotte, Sriram Subramanian.
  Human-Computer Interaction – INTERACT 2015. 2015-01-01. : 488-505.
  10.1007/978-3-319-22701-6_36
• Towards improved BCI based on human learning principles
  Fabien Lotte, Camille Jeunet.
  The 3rd International Winter Conference on Brain-Computer Interface. 2015-01-01.
  10.1109/IWW-BCI.2015.7073024
• EEG-based workload estimation across affective contexts
  Christian Mühl, Camille Jeunet, Fabien Lotte.
  Front. Neurosci.. 2014-06-12. 8
  10.3389/fnins.2014.00114
• Design and validation of a mental and social stress induction protocol: Towards load-invariant physiology-based stress detection
  .
  Proceedings of the International Conference on Physiological Computing Systems. 2014-01-01.
  10.5220/0004724100980106