Forum

Manuscripts on this dataset

  1. CMS Manager

    Manuscripts on this dataset, "ds002338"
  2. CMS Manager

    1. Y Chatelain, L Tetrel, CJ Markiewicz, A numerical variability approach to results stability tests and its application to neuroimaging, IEEE Transactions on Computers, 2024, Cited by 1, https://ieeexplore.ieee.org/abstract/document/10707317/
    2. C Pinte, C Cury, P Maurel, Investigating fMRI neurofeedback score prediction from EEG signals: genetic algorithm applied to hyperparameter selection, 2024, Cited by 0, https://inria.hal.science/hal-04806579/
    3. C Pinte, Machine learning for bi-modal EEG-fMRI neurofeedback: EEG electrodes localization and fMRI NF scores prediction, 2024, Cited by 0, https://theses.hal.science/tel-04902082/
    4. OT Bişkin, C Candemir, AS Gonul, MA Selver, Diverse task classification from activation patterns of functional neuro-images using feature fusion module, Sensors, 2023, Cited by 3, https://www.mdpi.com/1424-8220/23/7/3382
    5. D Mann‐Krzisnik, GD Mitsis, Extracting electrophysiological correlates of functional magnetic resonance imaging data using the canonical polyadic decomposition, Human Brain Mapping, 2022, Cited by 4, https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.25902
    6. JS Sulzer, Resource reference for fMRI neurofeedback researchers, fMRI neurofeedback, 2021, Cited by 1, https://books.google.com/books?hl=en&lr=&id=HnINEAAAQBAJ&oi=fnd&pg=PA333&dq=ds002338&ots=NwiEglgLmz&sig=UYuL9bNJduBEpZFHbWXmdAm2Z2A
    7. P Maurel, Brain image analysis, arterial spin labeling perfusion images and joint EEG-fMRI neurofeedback, 2021, Cited by 1, https://inserm.hal.science/tel-03273931/document
    8. C Cury, G Lioi, L Perronnet, A Lécuyer, Impact of 1d and 2d visualisation on eeg-fmri neurofeedback training during a motor imagery task, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, Cited by 3, https://ieeexplore.ieee.org/abstract/document/9098591/
    9. G Lioi, C Cury, L Perronnet, M Mano, E Bannier, Simultaneous EEG-fMRI during a neurofeedback task, a brain imaging dataset for multimodal data integration, Scientific data, 2020, Cited by 36, https://www.nature.com/articles/s41597-020-0498-3
    10. C Cury, P Maurel, R Gribonval, C Barillot, A sparse EEG-informed fMRI model for hybrid EEG-fMRI neurofeedback prediction, Frontiers in neuroscience, 2020, Cited by 31, https://www.frontiersin.org/articles/10.3389/fnins.2019.01451/full
    11. G Lioi, C Cury, L Perronnet, M Mano, E Bannier, Simultaneous MRI-EEG during a motor imagery neurofeedback task: an open access brain imaging dataset for multi-modal data integration, bioRxiv, 2019, Cited by 12, https://www.biorxiv.org/content/10.1101/862375.abstract
    12. L Perronnet, A Lécuyer, M Mano, M Fleury, G Lioi, Learning 2-in-1: towards integrated EEG-fMRI-neurofeedback, BioRxiv, 2018, Cited by 21, https://www.biorxiv.org/content/10.1101/397729.abstract

Add Post

User photo

You must be logged in to comment.

Please keep comments polite and on topic. Offensive posts may be removed.