List of publications

Peer-reviewed journals and preprints

    2024

  1. Combrisson, E., Di Rienzo, F., Saive, A-L., Perrone-Bertolotti, M., Soto, J.LP, Kahane, P., Lachaux, J-P., Guillot, A., Jerbi, K. (2023). Human intracranial local field potentials in motor and non-motor brain areas encode the direction of upcoming movements. Communications Biology

    2. 2023

  2. Combrisson, E., Basanisi, R., Gueguen, M., Rheims, S., Kahane, P., Bastin, J., & Brovelli, A. (2023). Neural interactions in the human frontal cortex dissociate reward and punishment learning. BioRxiv
  3. Thölke, P., Mantilla-Ramos, Y.-J., Abdelhedi, H., Maschke, C., Dehgan, A., Harel, Y., Kemtur, A., Berrada, L. M., Sahraoui, M., Young, T., & others. (2023). Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data. NeuroImage
  4. Basanisi, R., Marche, K., Combrisson, E., Apicella, P., & Brovelli, A. (2023). Beta oscillations in monkey striatum encode reward prediction error signals. Journal of Neuroscience

    5. 2022

  5. Combrisson, E., Basanisi, R., Cordeiro, V. L., Ince, R. A., & Brovelli, A. (2022). Frites: A Python package for functional connectivity analysis and group-level statistics of neurophysiological data. Journal of Open Source Software
  6. Combrisson, E., Allegra, M., Basanisi, R., Ince, R. A., Giordano, B. L., Bastin, J., & Brovelli, A. (2022). Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data. NeuroImage
  7. Niso, G., Krol, L. R., Combrisson, E., Dubarry, A. S., Elliott, M. A., François, C., Héjja-Brichard, Y., Herbst, S. K., Jerbi, K., Kovic, V., & others. (2022). Good scientific practice in EEG and MEG research: Progress and perspectives. NeuroImage
  8. Laverne, G., Pesce, J., Reynders, A., Combrisson, E., Gascon, E., Melon, C., Kerkerian-Le Goff, L., Maurice, N., & Beurrier, C. (2022). Cholinergic interneuron inhibition potentiates corticostriatal transmission in direct medium spiny neurons and rescues motor learning in parkinsonism. Cell Reports

    9. 2021

  9. Gau, R., Noble, S., Heuer, K., Bottenhorn, K. L., Bilgin, I. P., Yang, Y.-F., Huntenburg, J. M., Bayer, J. M., Bethlehem, R. A., Rhoads, S. A., & others. (2021). Brainhack: Developing a culture of open, inclusive, community-driven neuroscience. Neuron
  10. Degoulet, M., Tiran-Cappello, A., Combrisson, E., Baunez, C., & Pelloux, Y. (2021). Subthalamic low-frequency oscillations predict vulnerability to cocaine addiction. Proceedings of the National Academy of Sciences

    11. 2020

  11. Thiery, T., Saive, A.-L., Combrisson, E., Dehgan, A., Bastin, J., Kahane, P., Berthoz, A., Lachaux, J.-P., & Jerbi, K. (2020). Decoding the neural dynamics of free choice in humans. PLoS Biology
  12. Combrisson, E., Nest, T., Brovelli, A., Ince, R. A., Soto, J. L., Guillot, A., & Jerbi, K. (2020). Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals. PLoS Computational Biology
  13. Meunier, D., Pascarella, A., Altukhov, D., Jas, M., Combrisson, E., Lajnef, T., Bertrand-Dubois, D., Hadid, V., Alamian, G., Alves, J., & others. (2020). NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines. NeuroImage

    14. 2019

  14. Combrisson, E., Vallat, R., O’Reilly, C., Jas, M., Pascarella, A., Saive, A., Thiery, T., Meunier, D., Altukhov, D., Lajnef, T., & others. (2019). Visbrain: a multi-purpose GPU-accelerated open-source suite for multimodal brain data visualization. Frontiers in Neuroinformatics

    15. 2018

  15. Thiery, T., Lajnef, T., Combrisson, E., Dehgan, A., Rainville, P., Mashour, G. A., Blain-Moraes, S., & Jerbi, K. (2018). Long-range temporal correlations in the brain distinguish conscious wakefulness from induced unconsciousness. Neuroimage
  16. Soto, J. L., Prado, F. V., Combrisson, E., & Jerbi, K. (2018). Estimation of narrowband amplitude and phase from electrophysiology signals for phase-amplitude coupling studies: a comparison of methods. BioRxiv

    17. 2017

  17. Combrisson, E., Vallat, R., Eichenlaub, J.-B., O’Reilly, C., Lajnef, T., Guillot, A., Ruby, P. M., & Jerbi, K. (2017). Sleep: an open-source python software for visualization, analysis, and staging of sleep data. Frontiers in Neuroinformatics
  18. Alamian, G., Hincapié, A.-S., Pascarella, A., Thiery, T., Combrisson, E., Saive, A.-L., Martel, V., Althukov, D., Haesebaert, F., & Jerbi, K. (2017). Measuring alterations in oscillatory brain networks in schizophrenia with resting-state MEG: State-of-the-art and methodological challenges. Clinical Neurophysiology
  19. Alamian, G., Hincapié, A.-S., Combrisson, E., Thiery, T., Martel, V., Althukov, D., & Jerbi, K. (2017). Alterations of intrinsic brain connectivity patterns in depression and bipolar disorders: a critical assessment of magnetoencephalography-based evidence. Frontiers in Psychiatry
  20. Lajnef, Tarek, O’Reilly, C., Combrisson, E., Chaibi, S., Eichenlaub, J.-B., Ruby, P. M., Aguera, P.-E., Samet, M., Kachouri, A., Frenette, S., & others. (2017). Meet spinky: an open-source spindle and K-complex detection toolbox validated on the open-access montreal archive of sleep studies (MASS). Frontiers in Neuroinformatics
  21. Combrisson, E., Perrone-Bertolotti, M., Soto, J. L., Alamian, G., Kahane, P., Lachaux, J.-P., Guillot, A., & Jerbi, K. (2017). From intentions to actions: Neural oscillations encode motor processes through phase, amplitude and phase-amplitude coupling. NeuroImage

    22. 2016

  22. Bastin, J., Deman, P., David, O., Gueguen, M., Benis, D., Minotti, L., Hoffman, D., Combrisson, E., Kujala, J., Perrone-Bertolotti, M., & others. (2016). Direct recordings from human anterior insula reveal its leading role within the error-monitoring network. Cerebral Cortex

    23. 2015

  23. Combrisson, E., & Jerbi, K. (2015). Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy. Journal of Neuroscience Methods

    24. 2013

  24. Jerbi, K., Combrisson, E., Dalal, S. S., Vidal, J. R., Hamame, C. M., Bertrand, O., Berthoz, A., Kahane, P., & Lachaux, J.-P. (2013). Decoding cognitive states and motor intentions from intracranial EEG: How promising is high-frequency brain activity for brain-machine interfaces? Epilepsy & Behavior

PhD thesis

Review work for journals

NeuroImage, Scientific Reports, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal of Neural Engineering, Journal of Open Source Software, Sensors, Transactions on Neural Systems and Rehabilitation Engineering, Applied Sciences