fMRI data analysis, computational modelling, machine learning




  1. Mapping the human subcortical auditory system using histology, post mortem MRI and in vivo MRI at 7T.
    Elife. 2019 Aug 1;8. pii: e48932. doi: 10.7554/eLife.48932 Sitek KR, Gulban OF, Calabrese E, Johnson GA, Lage-Castellanos A, Moerel M, Ghosh SS, de Martino F.

  2. Predicting stimulus representations in the visual cortex using computational principles. Agustin Lage-CastellanosFederico De Martino doi:,

  3. Lage-Castellanos A, Valente G, Formisano E, De Martino F (2019) Methods for computing the maximum performance of computational models of fMRI responses. PLoS Comput Biol 15(3): e1006397.


  5. ERP Source Analysis Guided by fMRI During Familiar Face Processing. Brain Topogr. 2018 Feb 20. doi: 10.1007/s10548-018-0619-x. Bobes MALage-Castellanos AOlivares EIPerez Hidalgo-Gato JIglesias JCastro-Laguardia AMValdes-Sosa P.

  6. Encoding of natural timbre dimensions in human auditory cortex.  Allen EJ, Moerel M, Lage-Castellanos A, De Martino F, Formisano E, Oxenham AJ. Neuroimage. 2017 Oct 25. pii: S1053-8119(17)30884-4. doi: 10.1016/j.neuroimage.2017.10.050

  7. Fast Gaussian Naïve Bayes for searchlight classification analysis. Neuroimage. 2017 Sep 4. pii: S1053-8119(17)30737-1. doi: 10.1016/j.neuroimage.2017.09.001. Ontivero-Ortega M, Lage-Castellanos A, Valente G, Goebel R, Valdes-Sosa M.

  8. Multivariate linear regression of high-dimensional fMRI data with multiple target variables. Valente, G., Castellanos, A. L., Vanacore, G., & Formisano, E. (2014).  Human Brain Mapping, 35(5), 2163-2177. DOI: 10.1002/hbm.22318

  9. Timing and tuning for familiarity of cortical responses to faces. PLoS One. 2013 Oct 9;8(10):e76100. 2013. Bobes MA1, Lage Castellanos A, Quiñones I, García L, Valdes-Sosa M.

  10. False discovery rate and permutation test: an evaluation in ERP data analysis. Stat Med. 2010 Jan 15;29(1):63-74. doi: 10.1002/sim.3784. Lage-Castellanos A, Martínez-Montes E, Hernández-Cabrera JA, Galán L.

  11. Estimating brain functional connectivity with sparse multivariate autoregression. Philos Trans R Soc Lond B Biol Sci. 2005 May 29;360(1457):969-81.Valdés-Sosa PA, Sánchez-Bornot JM, Lage-Castellanos A, Vega-Hernández M, Bosch-Bayard J, Melie-García L, Canales-Rodríguez E.