Cette page référence les publications de nos chercheurs dans des livres scientifiques, des conférences et des revues scientifiques internationales.
Neurofeedback
Micoulaud-Franchi J.A., Batail J.M., Fovet T., Cermolacce M., Jaumard-Hakoun A., Vialatte F., Towards a pragmatic approach of psychophysiological unit of analysis for psychiatry: A proposal of EEG copeia for neurofeedback. Applied Psychophysiology and Biofeedback, 44(3):151-172. doi: 10.1007/s10484-019-09440-4. https://www.ncbi.nlm.nih.gov/pubmed/31098793
Fovet T., Micoulaud-Franchi J.-A., Vialatte F.B., Lotte F., Daudet C., Batail J.-M., Mattout J., Jardri R., Ros T. On assessing neurofeedback effects: should double-blind replace neurophysiological mechanisms? Reply to: Better than sham? A double-blind placebo-controlled neurofeedback study in primary insomnia. Brain, 2017, 140(10):e63. https://academic.oup.com/brain/article/140/10/e64/4093901
Trousselard M., Vialatte F., Micoulaud J.-A., Neuromodulation/Neurostimulation dans le TSPT. In: Canini F., El-Hage W., Garcia R., Savoir pour soigner Le trouble de stress post-traumatique. Edition: Isabelle Ronzier, Villers-lès-Nancy, 402-414, 2017. https://www.amazon.fr/Savoir-pour-soigner-trouble-post-traumatique/dp/2954986581
Andrade K., Houmani N., Dubois B., Vialatte F., Neurofeedback as a Neurorehabilitation Tool for Memory Deficits – A Phase 0 clinical trial. Symposium on Cognitive Neural Engineering, 2017, Funchal, Portugal. https://hal.archives-ouvertes.fr/hal-01696184/
Vialatte F.B., Neurofeedback et approche dimensionnelle : vers une « EEGcopée » sur le modèle de la pharmacopée ? 2ème journée nationale sur le neurofeedback, ESPCI Paris, France, January 2017. https://www.youtube.com/watch?v=yUPuECwjAzk
Vialatte F.B., From engineering to feedback learning, how does neurofeedback work? Invited seminar in Riken Brain Science Institue, Wako-Shi, Japan, July 2017.
Gaume A., Vialatte A., Mora-Sánchez A., Ramdani C., Vialatte F.B., A psychoengineering paradigm for the neurocognitive mechanisms of biofeedback and neurofeedback. Neuroscience and Biobehavioral Reviews, 2016, 68:891-910. https://www.sciencedirect.com/science/article/pii/S0149763416300902
Arns M., Batail J.-M., Bioulac S., ongedo M., Daudet C., Drapier D., Fovet T., Jardri R., Le Van Quyen M., Lotte F., Mehler D., Micoulaud Franchi J.-A., Perper-Ouakil D., Vialatte F. Neurofeedback: one of today’s techniques in psychiatry. L’encéphale, 2016, S0013-7006(16)30275-5. https://www.sciencedirect.com/science/article/pii/S0013700616302755
Vialatte F.B., Modèle d’apprentissage en neurofeedback : de l’intégration du signal à la plasticité cérébrale. 1ère journée nationale sur le neurofeedback, ICM, Paris, France, January 2016. https://www.youtube.com/watch?v=3N6tzlw0Sp4
Mora Sánchez A., Gaume A., Dreyfus G., Vialatte F.B., A Cognitive Brain-Computer Interface Prototype For The Continuous Monitoring Of Visual Working Memory Load. 25th IEEE MLSP international workshop, September 17-20, Boston, USA, 2015. https://ieeexplore.ieee.org/abstract/document/7324370/
Elgendi M., Dauwels J., Rebsamen B., Shukla R., Putra Y., Gamez J., ZePing N., Ho B., Prasad N., Aggarwal D., Nair A., Mishuhina V., Vialatte F., Constable M., Cichocki A., Latchoumane C., Jeong J., Thalmann D., Magnenat-Thalmann N. From Auditory and Visual to Immersive Neurofeedback: Application to Diagnosis of Alzheimer’s Disease. In : Yang Z., Neural Computation, Neural Devices, and Neural Prosthesis, Springer, 63-97, 2014. https://www.amazon.fr/Neural-Computation-Devices-Prosthesis/dp/1493942352
Tomita Y, Vialatte FB, Dreyfus G, Mitsukura Y, Bakardjian H, Cichocki A, Bimodal BCI using simultaneously NIRS and EEG, IEEE Trans Bio-Med Eng, 2014, 61(4):1274-1284. https://ieeexplore.ieee.org/abstract/document/6714514/
Vialatte F.B., Maurice M., Dauwels J., Cichocki A. Steady-State Visually Evoked Potentials: Focus on Essential Paradigms and Future Perspectives, Progress in Neurobiology, 2010, 90(4):418-438 (invited review paper). https://www.sciencedirect.com/science/article/pii/S0301008209001853
Biofeedback
Jaumard-Hakoun A., Andrade K., Vukusic S., Klarsfeld A., Vialatte F.-B., Learning from bio-signals: does it help you to explain how you’re doing it? 6th conference of the Association for Research in Neuroeducation, 2018, Paris, France.
Jaumard-Hakoun, A., Chikhi, S., Medani, T., Nair, A., Dreyfus, G., & Vialatte, F. B. (2017, July). A Biofeedback Approach to Investigate Neurocognitive Mechanisms of Feedback-based Learning. In The First Biannual Neuroadaptive Technology Conference (p. 134). https://pdfs.semanticscholar.org/502d/d2534e6233fd0165e57fac527b3585a99818.pdf
Jaumard-Hakoun A., Andrade K., Vialatte F.-B., Intégrer les facteurs psycho-sociaux dans les thérapies par neurofeedback, Journées Interactions Sociales, Systèmes Intelligents et Santé, 2018, Paris, France. https://www.researchgate.net/publication/324168696_Integrer_les_facteurs_psycho-sociaux_dans_les_therapies_par_neurofeedback
Mindfulness
Verdonk, C., Trousselard, M., Canini, F., Vialatte, F., & Ramdani, C. (2020). Toward a Refined Mindfulness Model Related to Consciousness and Based on ERP. Perspectives on Psychological Science, 1745691620906444. https://journals.sagepub.com/doi/abs/10.1177/1745691620906444
Lachaud, L., Vialatte, F. (2017). Pleine conscience, du biais perceptif au biais de jugement. Dans F. Jouen, C. Puygelier, C. Tijus, Conscience et Droit : conscience du droit et droit de la conscience. Paris, France : Mare & Martin. https://amzn.to/2NP92PB
Vialatte F.B., Sommes-nous tous égaux face à la pleine conscience ? Regards différentiels sur les dispositions et l’efficacité des programmes, Congrès La pleine conscience au cœur de nos pratiques, Université de Lorraine, Metz, France, May 2017. http://factuel.univ-lorraine.fr/node/6535
Lachaud L., Raoult A., Trousselard M., Vialatte F.B. Electroencephalogram Study of Change Blindness in Mindful Subjects. ICCN 2017, Paris, France.
Vialatte F.B., Bakardjian H., Prasad R., Cichocki, A. EEG paroxysmal gamma waves during Bhramari Pranayama: a yoga breathing technique, Consciousness and Cognition, 2009, 18:977–988. https://www.sciencedirect.com/science/article/pii/S1053810008000056
Approche dimensionnelle
Vialatte F., Approche neurocognitive dans la modélisation et pour le traitement des troubles psychiatriques, 10ème Congrès Français de Psychiatrie, 2018, Nantes.
Caldani S., Amado I., Bendjemaa N., Vialatte F., Mam-La-Fook C., Gaillard R., Krebs M.O., Bucci M.P. Oculomotricity and Neurological Soft Signs: Can we refine the endophenotype? A study in subjects belonging to the spectrum of schizophrenia. Psychiatry Res., 2017, 256:490-497. https://www.sciencedirect.com/science/article/pii/S0165178117300203
Hiyoshi-Taniguchi K., Kawasaki M., Yokota T., Bakardjian H., Fukuyama H., Cichocki A., Vialatte F.B. EEG correlates of Voice and Face Emotional Judgements in the Human Brain. Cognitive Computation, 2014, 7(1):11-19. https://link.springer.com/article/10.1007/s12559-013-9225-0
Stress post traumatique
Trousselard M., Vialatte F., Micoulaud J.-A., neuromodulation/Neurostimulation dans le TSPT. In: Canini F., El-Hage W., Garcia R., Savoir pour soigner Le trouble de stress post-traumatique. Edition: Isabelle Ronzier, Villers-lès-Nancy, 402-414, 2017. https://amzn.to/3eZ0cL6
Vieillissement
La Corte V., Sperduti M., Malherbe C., Vialatte F., Lion S., Gallarda T., Oppenheim C., Piolino P. Cognitive Decline and Reorganization of Functional Connectivity in Healthy Aging: The Pivotal Role of the Salience Network in the Prediction of Age and Cognitive Performances. Front Aging Neurosci. 2016, 8:204. https://www.frontiersin.org/articles/10.3389/fnagi.2016.00204
Houmani N., Dreyfus G., Vialatte F.B., Epoch-based entropy for early screening of Alzheimer’s disease, International Journal of Neural Systems, 2015, 25(8):1550032. https://www.worldscientific.com/doi/abs/10.1142/S012906571550032X
Gallego-Jutglà E., Solé-Casals J., Vialatte F.B., Elgendi M., Cichocki A., Dauwels J., A hybrid feature selection approach for the early diagnosis of Alzheimer’s disease. Journal of Neural Engineering, 2015, 12(1):016018. https://iopscience.iop.org/article/10.1088/1741-2560/12/1/016018/meta
Gallego-Jutglà E, Solé-Casals J, Vialatte FB, Dauwels J, Cichocki A. A Theta-Band EEG Based Index for Early Diagnosis of Alzheimer’s Disease. J Alzheimers Dis., 2015, 43(4):1175-84 https://content.iospress.com/articles/journal-of-alzheimers-disease/jad140468
Solé-Casals J., Vialatte F.B., Towards Semi-Automatic Artifact Rejection for the Improvement of Alzheimer’s Disease Screening from EEG Signals. Sensors, 2015, 15(8):17963-17976. https://www.mdpi.com/1424-8220/15/8/17963
Latchoumane C.F.V., Vialatte F.B., Solé-Casals J., Maurice M., Wimalaratna S.R., Hudson N., Jeong J., Cichocki A. Multiway Array Decomposition Analysis of EEGs in Alzheimer’s Disease. J. Neuroscience Methods, 2012, 207:41-50. https://www.sciencedirect.com/science/article/pii/S0165027012000994
Vialatte F.B., Dauwels J., Musha T., Cichocki A., Audio representations of multi-channel EEG: a new tool for diagnosis of brain disorders, American Journal of Neurodegenerative Disease, 2012;1(3):292-304. (invited journal paper). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3560465/
Vialatte F.B., Dauwels J., Maurice M., Musha T., Cichocki A. Improving the Specificity of EEG for Diagnosing Alzheimer’s Disease. Int J Alzheimers Dis. 2011; 2011: 259069. (invited journal paper). https://www.hindawi.com/journals/ijad/2011/259069/abs/
Dauwels J, Srinivasan K, Ramasubba Reddy M, Musha T, Vialatte FB, Latchoumane C, Jeong J, Cichocki A. Slowing and Loss of Complexity in Alzheimer’s EEG: Two Sides of the Same Coin? Int J Alzheimers Dis. 2011, 2011:539621. (invited journal paper). https://www.hindawi.com/journals/ijad/2011/539621/abs/
Dauwels J., Vialatte F.B., Musha T., Cichocki A. A comparative study of synchrony measures for the early diagnosis of Alzheimer’s disease based on EEG, Neuroimage, 2010, 49:668-693. https://www.sciencedirect.com/science/article/pii/S1053811909006697
Woon W.L., Cichocki A., Vialatte F., Musha T. Techniques for early detection of Alzheimer’s disease using spontaneous EEG recordings, Physiological Measurement 2007, 28(4):335-347. https://iopscience.iop.org/article/10.1088/0967-3334/28/4/001/meta
Dauwels J., Vialatte F.B., Cichocki A., Diagnosis of Alzheimer’s Disease from EEG Signals: Where Are We Standing?, Current AD Research, 2010, 7(6):484-505 (invited review paper). https://www.ingentaconnect.com/content/ben/car/2010/00000007/00000006/art00002