Publications of Janaina Mourão-Miranda

Journal Article (18)

2019
Journal Article
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
Journal Article
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
2018
Journal Article
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
2017
Journal Article
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
Journal Article
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
Journal Article
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
Journal Article
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
2016
Journal Article
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

Conference Paper (4)

2019
Conference Paper
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
Conference Paper
Mihalik, A., Brudfors, M., Robu, M., Ferreira, F. S., Lin, H., Rau, A., Wu, T., Blumberg, S. B., Kanber, B., Tariq, M., Garcia, M. E., Zor, C., Nikitichev, D. I., Mourão-Miranda, J., & Oxtoby, N. P. (2019). ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and Kernel ridge regression. In K. M. Pohl, W. K. Thompson, E. Adeli, & M. G. Linguraru (Eds.), Adolescent brain cognitive development neurocognitive prediction (pp. 133–142). Springer. https://doi.org/10.1007/978-3-030-31901-4_16
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