Methods

  1. Kasper, L., Bollmann, S., Diaconescu, A.O., Hutton, C., Heinzle, J., Iglesias, S., Hauser, T.U., Sebold, M., Manjaly, Z.-M., Pruessmann, K.P., Stephan, K.E., 2017. The PhysIO Toolbox for Modeling Physiological Noise in fMRI Data. Journal of Neuroscience Methods 276, 56–72 [PhysIO]
  2. Mathys, C. D., Lomakina, E. I., Daunizeau, J., Iglesias, S., Brodersen, K. H., Friston, K. J., & Stephan, K. E. (2014). Uncertainty in perception and the Hierarchical Gaussian Filter. Frontiers in Human Neuroscience, 8:825. [HGF]
  3. Brodersen KH, Daunizeau J, Mathys C, Chumbley JR, Buhmann JM, Stephan KE (2013) Variational Bayesian mixed-effects inference for classification studies.  NeuroImage 76: 345-61. [MICP]
  4. Brodersen KH, Mathys C, Chumbley JR, Daunizeau J, Ong CS, Buhmann JM,Stephan KE (2012) Bayesian mixed-effects inference on classification performance in hierarchical datasets.  Journal of Machine Learning Research 13: 3133-3176. [MICP]
  5. Mathys, C. (2012). Hierarchical Gaussian filtering. ETH Zurich PhD thesis no. 20909 [HGF]
  6. Mathys C, Daunizeau J, Friston KJ, Stephan KE (2011) A Bayesian foundation for individual learning under uncertainty. Frontiers in Human Neuroscience 5: 39. [HGF]
  7. Brodersen KH, Ong CS, Stephan KE, Buhmann JM (2010) The balanced accuracy and its posterior distribution. Proceedings of the 20th International Conference on Pattern Recognition, 3121-3124. [MICP]

Applications

  1. Smith-Collins, Adam P.R., Karen Luyt, Axel Heep, and Risto A. Kauppinen (2015). High Frequency Functional Brain Networks in Neonates Revealed by Rapid Acquisition Resting State fMRI. Human Brain Mapping, http://doi.org/10.1002/hbm.22786. [PhysIO]
  2. Kasper, L., Haeberlin, M., Dietrich, B.E., et al. (2014). Matched-filter acquisition for BOLD fMRI. NeuroImage 100, 145–160. http://doi.org/10.1016/j.neuroimage.2014.05.024. [PhysIO]
  3. Diaconescu, A. O., Mathys, C., Weber, L. A. E., Daunizeau, J., Kasper, L., Lomakina, E. I.,  Stephan, K. E. (2014). Inferring on the Intentions of Others by Hierarchical Bayesian Learning. PLoS Comput Biol, 10(9), e1003810. http://doi.org/10.1371/<wbr />journal.pcbi.1003810. [HGF]
  4. Schwartenbeck, P., FitzGerald, T. H. B., Mathys, C., Dolan, R., & Friston, K. (2014). The Dopaminergic Midbrain Encodes the Expected Certainty about Desired Outcomes. Cerebral Cortex. http://doi.org/10.1093/cercor/<wbr />bhu159.[HGF]
  5. Vossel, S., Bauer, M., Mathys, C., Adams, R. A., Dolan, R. J., Stephan, K. E., & Friston, K. J. (2014). Cholinergic Stimulation Enhances Bayesian Belief Updating in the Deployment of Spatial Attention. The Journal of Neuroscience, 34(47), 15735–15742. http://doi.org/10.1523/<wbr />JNEUROSCI.0091-14.2014.[HGF]
  6. Hauser TU, Iannaccone R, Ball J, & et al. (2014). Role of the medial prefrontal cortex in impaired decision making in juvenile attention-deficit/hyperactivity disorder. JAMA Psychiatry. http://doi.org/10.1001/<wbr />jamapsychiatry.2014.1093.[HGF] [PhysIO]
  7. Vossel, S., Mathys, C., Daunizeau, J., Bauer, M., Driver, J., Friston, K. J., & Stephan, K. E. (2014). Spatial Attention, Precision, and Bayesian Inference: A Study of Saccadic Response Speed. Cerebral Cortex, 24(6), 1436–1450. http://doi.org/10.1093/cercor/bhs418. [HGF]
  8. Sulzer, J., Sitaram, R., Blefari, M.L., et al (2013). Neurofeedback-mediated self-regulation of the dopaminergic midbrain. NeuroImage 83, 817–825. http://doi.org/10.1016/j.neuroimage.2013.05.115 . [PhysIO]
  9. Feis DL, Brodersen KH, Yves VCD, Luders E, Tittgemeyer M (2013) Decoding gender dimorphism of the human brain using multimodal anatomical and diffusion MRI data. NeuroImage, 70, 250-257. [MICP]
  10. Iglesias S, Mathys C, Brodersen KH, Kasper L, Piccirelli M, den Ouden HEM, Stephan KE (2013) Hierarchical prediction errors in midbrain and basal forebrain during sensory learning.  Neuron 80: 519-530.[HGF]
  11. Lee A, Brodersen KH, Rudebeck S (2013) Disentangling spatial perception and spatial memory in the hippocampus: a univariate and multivariate pattern analysis fMRI study. Journal of Cognitive Neuroscience, in press.[MICP]
  12. Brodersen KH, Wiech K, Lomakina EI, Lin C, Buhmann JM, Bingel U, Ploner M, Stephan KE, Tracey I (2012) Decoding the perception of pain from fMRI using multivariate pattern analysis.  NeuroImage 63: 1162-1170. [MICP]
  13. Brodersen KH, Schofield TM, Leff AP, Ong CS, Lomakina EI, Buhmann JM, Stephan KE (2011) Generative embedding for model-based classification of fMRI data. PLoS Computational Biology 7: e1002079. [MICP]
  14. Brodersen KH, Haiss F, Ong CS, Jung F, Tittgemeyer M, Buhmann JM, Weber B, Stephan KE (2011) Model-based feature construction for multivariate decoding. NeuroImage 56: 601-615. [MICP]