Publications of Janaina Mourão-Miranda

Donini, M., Monteiro, J. M., Pontil, M., Hahn, T., Fallgatter, A. J., Shawe-Taylor, J., & Mourão-Miranda, J. (2019). Combining heterogeneous data sources for neuroimaging based diagnosis: Re-weighting and selecting what is important. NeuroImage, 195, 215–231. https://doi.org/10.1016/j.neuroimage.2019.01.053

Mihalik, A., Ferreira, F. S., Rosa, M. J., Moutoussis, M., Ziegler, G., Monteiro, J. M., Portugal, L., Adams, R. A., Romero-Garcia, R., Vértes, P. E., Kitzbichler, M. G., Váša, F., Vaghi, M. M., Bullmore, E. T., Fonagy, P., Goodyer, I. M., Jones, P. B., NSPN Consortium, Dolan, R. J., & Mourão-Miranda, J. (2019). Brain-behaviour modes of covariation in healthy and clinically depressed young people. Scientific Reports, 9, Article 11536. https://doi.org/10.1038/s41598-019-47277-3

Portugal, L. C. L., Schrouff, J., Stiffler, R., Bertocci, M., Bebko, G., Chase, H., Lockovitch, J., Aslam, H., Graur, S., Greenberg, T., Pereira, M., Oliveira, L., Phillips, M., & Mourão-Miranda, J. (2019). Predicting anxiety from wholebrain activity patterns to emotional faces in young adults: A machine learning approach. NeuroImage: Clinical, 23, Article 101813. https://doi.org/10.1016/j.nicl.2019.101813

Schrouff, J., Monteiro Jőo M., Portugal, L. C. L., Rosa Maria Jőo, Phillips, C., & Mourão-Miranda, J. (2018). Embedding anatomical or functional knowledge in whole-brain multiple kernel learning models. Neuroinformatics, 16(1), 117–143. https://doi.org/10.1007/s12021-017-9347-8

Baldassarre, L., Pontil, M., & Mourao-Miranda, J. (2017). Sparsity is better with stability: Combining accuracy and stability for model selection in brain decoding. Frontiers in Neuroscience, 11, Article 62. https://doi.org/10.3389/fnins.2017.00062

Fernandes Jr., O., Portugal, L. C. L., Alves, R. de C. S., Arruda-Sanchez, T., Rao, A., Volchan, E., Pereira, M., Oliveira, L., & Mourao-Miranda, J. (2017). Decoding negative affect personality trait from patterns of brain activation to threat stimuli. NeuroImage, 145(PartB), 337–345. https://doi.org/10.1016/j.neuroimage.2015.12.050

Nieuwenhuis, M., Schnack, H. G., van Haren, N. E., Lappin, J., Morgan, C., Reinders, A. A., Gutierrez-Tordesillas, D., Roiz-Santianez, R., Schaufelberger, M. S., Rosa, P. G., Zanetti, M. V., Busatto, G. F., Crespo-Facorro, B., McGorry, P. D., Velakoulis, D., Pantelis, C., Wood, S. J., Kahn, R. S., Mourao-Miranda, J., & Dazzan, P. (2017). Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients. NeuroImage, 145(PartB), 246–253. https://doi.org/10.1016/j.neuroimage.2016.07.027

Rao, A., Monteiro, J. M., & Mourao-Miranda, J. (2017). Predictive modelling using neuroimaging data in the presence of confounds. NeuroImage, 150, 23–49. https://doi.org/10.1016/j.neuroimage.2017.01.066

Monteiro, J. M., Rao, A., Shawe-Taylor, J., & Mourão-Miranda, J. (2016). A multiple hold-out framework for Sparse Partial Least Squares. Journal of Neuroscience Methods, 271, 182–194. https://doi.org/10.1016/j.jneumeth.2016.06.011

Altmann, A., & Mourao-Miranda, J. (2019). Evidence for bias of genetic ancestry in resting functional MRI. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) (pp. 275–279). IEEE. https://doi.org/10.1109/ISBI.2019.8759284