Journal articles

Journal articles (selection)


Including diffusion time dependence in the extra-axonal space improves in vivo estimates of axonal diameter and density in human white matter.

De Santis S, Jones DK, Roebroeck A.

Neuroimage. (2016) Apr 15;130:91-103. doi: 10.1016/j.neuroimage.2016.01.047. pubmed


Unraveling the multiscale structural organization and connectivity of the human brain: the role of diffusion MRI.

Bastiani M, Roebroeck A.

Front Neuroanat. (2015) Jun 9. doi: 10.3389/fnana.2015.00077. pubmed


Physiologically informed dynamic causal modeling of fMRI data.

Havlicek M, Roebroeck A, Friston K, Gardumi A, Ivanov D, Uludag K.

Neuroimage (2015) Aug 4. doi: 10.1016/j.neuroimage.2015.07.078. pubmed


Histological validation of high-resolution DTI in human post mortem tissue.

Seehaus A, Roebroeck A, Bastiani M, Fonseca L, Bratzke H, Lori N, Vilanova A, Goebel R, Galuske R.

Front Neuroanat. (2015) Jul 23 doi: 10.3389/fnana.2015.00098. pubmed


General overview on the merits of multimodal neuroimaging data fusion

Uludag KU, Roebroeck A.

Neuroimage (2014) May 16 doi: 10.1016/j.neuroimage.2014.05.018. pubmed


Comparative analysis of the macroscale structural connectivity in the macaque and human brain.

Goulas A, Bastiani M, Bezgin G, Uylings HB, Roebroeck A, Stiers P.

PLoS Comput Biol. (2014) 10(3) doi: 10.1371/journal.pcbi.1003529. pubmed


Optimal short-time acquisition schemes in high angular resolution diffusion-weighted imaging.

Prčkovska V, Achterberg HC, Bastiani M, Pullens P, Balmashnova E, Ter Haar Romeny BM, Vilanova A, Roebroeck A.

Int J Biomed Imaging. (2013) doi: 10.1155/2013/658583. pubmed


Histological validation of DW-MRI tractography in human postmortem tissue.

Seehaus AK, Roebroeck A, Chiry O, Kim DS, Ronen I, Bratzke H, Goebel R, Galuske RA.

Cereb Cortex. (2013) Feb;23(2):442-50. doi: 10.1093/cercor/bhs036. pubmed


Human cortical connectome reconstruction from diffusion weighted MRI: the effect of tractography algorithm.

Bastiani M, Shah NJ, Goebel R, Roebroeck A.

Neuroimage. (2012) 62(3):1732-49. doi: 10.1016/j.neuroimage.2012.06.002. pubmed


A short history of causal modeling of fMRI data.

Stephan KE, Roebroeck A.

Neuroimage. (2012) 62(2):856-63. doi: 10.1016/j.neuroimage.2012.01.034. pubmed


Causal Time Series Analysis of functional Magnetic Resonance Imaging Data.

Roebroeck A, Seth AK, Valdes-Sosa PA.

Journal of Machine Learning Research. (2011) 12: 65-94. fulltext


Effective connectivity: influence, causality and biophysical modeling.

Valdes-Sosa PA, Roebroeck A, Daunizeau J, Friston K.

Neuroimage. (2011) 58(2):339-61. doi: 10.1016/j.neuroimage.2011.03.058. pubmed


Mapping the information flow from one brain to another during gestural communication.

Schippers MB, Roebroeck A, Renken R, Nanetti L, Keysers C.

Proc Natl Acad Sci U S A. (2010) 107(20):9388-93. doi: 10.1073/pnas.1001791107. pubmed


The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution.

Roebroeck A, Formisano E, Goebel R.

Neuroimage. (2009) 58(2):296-302. doi: 10.1016/j.neuroimage.2009.09.036. pubmed


High-resolution diffusion tensor imaging and tractography of the human optic chiasm at 9.4 T.

Roebroeck A, Galuske R, Formisano E, Chiry O, Bratzke H, Ronen I, Kim DS, Goebel R.

Neuroimage. (2008) 39(1):157-68. pubmed


Mapping directed influence over the brain using Granger causality and fMRI.

Roebroeck A, Formisano E, Goebel R.

Neuroimage. (2005) 25(1):230-42. pubmed



Copyright © Alard Roebroeck