Guiomar Niso

Publications

Selected publications. The full list is on Google Scholar and ORCID.

2026

  1. Investigating the analytical robustness of the social and behavioural sciences

    Aczél, B., Szászi, B., Clelland, H. T., … Niso, G., … & Nosek, B. A.

    Nature, 652(8108), 135–142 (2026). doi:10.1038/s41586-025-09844-9

  2. sBOSC: A method for source-level identification of neural oscillations in electromagnetic brain signals

    Stern, E., Niso, G., & Capilla, A.

    Psychophysiology, 63(6), e70345 (2026). doi:10.1111/psyp.70345

2025

  1. Large language models surpass human experts in predicting neuroscience results

    Luo, X., Rechardt, A., Sun, G., … Niso, G., … & Love, B. C.

    Nature Human Behaviour, 9(2), 305–315 (2025). doi:10.1038/s41562-024-02046-9

  2. ARTEM-IS for ERP: Agreed Reporting Template for EEG Methodology – International Standard for documenting studies on Event-Related Potentials

    Šoškić, A., Ković, V., Algermissen, J., … Niso, G., … & Styles, S. J.

    Psychophysiology, 62(12), e70187 (2025). doi:10.1111/psyp.70187

  3. NIRS-BIDS: Brain Imaging Data Structure extended to near-infrared spectroscopy

    Luke, R., Oostenveld, R., Cockx, H., Niso, G., … & Pollonini, L.

    Scientific Data, 12(1), 159 (2025). doi:10.1038/s41597-024-04136-9

2024

  1. One hundred years of EEG for brain and behaviour research

    Mushtaq, F., Welke, D., Gallagher, A., … Niso, G., … & Valdes-Sosa, P.

    Nature Human Behaviour, 8(8) (2024). doi:10.1038/s41562-024-01941-5

  2. brainlife.io: a decentralized and open-source cloud platform to support neuroscience research

    Hayashi, S., Caron, B. A., Heinsfeld, A. S., … Niso, G., … & Pestilli, F.

    Nature Methods, 21(5), 809–813 (2024). doi:10.1038/s41592-024-02237-2

  3. The past, present, and future of the Brain Imaging Data Structure (BIDS)

    Poldrack, R. A., Markiewicz, C. J., Appelhoff, S., … Niso, G., … & Gorgolewski, K. J.

    Imaging Neuroscience, 2, 1–19 (2024). doi:10.1162/imag_a_00103

2023

  1. Wireless EEG: A survey of systems and studies

    Niso, G., Romero, E., Moreau, J. T., … & Krol, L.

    NeuroImage, 119774 (2023). doi:10.1016/j.neuroimage.2022.119774

2022

  1. Open and reproducible neuroimaging: from study inception to publication

    Niso, G., Botvinik-Nezer, R., Appelhoff, S., … & Rieger, J. W.

    NeuroImage, 119623 (2022). doi:10.1016/j.neuroimage.2022.119623

  2. Good scientific practice in EEG and MEG research: Progress and perspectives

    Niso, G., Krol, L., Combrisson, E., … & Chaumon, M.

    NeuroImage, 119056 (2022). doi:10.1016/j.neuroimage.2022.119056

  3. PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

    Norgaard, M., Matheson, G. J., Hansen, H. D., … Niso, G., … & Ganz, M.

    Scientific Data, 9(1), 1–7 (2022). doi:10.1038/s41597-022-01164-1

2021

  1. #EEGManyLabs: Investigating the replicability of influential EEG experiments

    Pavlov, Y., Adamian, N., Appelhoff, S., … Niso, G., … & Mushtaq, F.

    Cortex, 144, 213–229 (2021). doi:10.1016/j.cortex.2021.03.013

2019

  1. A thalamocortical pathway for fast rerouting of tactile information to occipital cortex in congenital blindness

    Müller, F. / Niso, G., Samiee, S., Ptito, M., … & Kupers, R.

    Nature Communications, 10(1), 5154 (2019). doi:10.1038/s41467-019-13173-7

  2. Brainstorm pipeline analysis of resting-state data from the Open MEG Archive

    Niso, G., Tadel, F., Bock, E., … & Baillet, S.

    Frontiers in Neuroscience, 13, 284 (2019). doi:10.3389/fnins.2019.00284

  3. MEG/EEG group analysis: the Brainstorm workflow

    Tadel, F., Bock, E., Niso, G., … & Baillet, S.

    Frontiers in Neuroscience, 13, 76 (2019). doi:10.3389/fnins.2019.00076

2018

  1. MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography

    Niso, G., Gorgolewski, K. J., Bock, E., … & Baillet, S.

    Scientific Data, 5, 180110 (2018). doi:10.1038/sdata.2018.110

2016

  1. OMEGA: The Open MEG Archive

    Niso, G., Rogers, C., Moreau, J. T., … & Baillet, S.

    NeuroImage, 124, 1182–1187 (2016). doi:10.1016/j.neuroimage.2015.04.028

2015

  1. What graph theory actually tells us about resting state interictal MEG epileptic activity

    Niso, G., Carrasco, S., Gudín, M., … & Pereda, E.

    NeuroImage: Clinical, 8, 503–515 (2015). doi:10.1016/j.nicl.2015.05.008

2013

  1. HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity

    Niso, G., Bruña, R., Pereda, E., … & del-Pozo, F.

    Neuroinformatics, 11(4), 405–434 (2013). doi:10.1007/s12021-013-9186-1