Imperial College London


Faculty of EngineeringDepartment of Computing

Head of Department of Computing



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BibTex format

author = {Deligianni, F and Varoquaux, G and Thirion, B and Robinson, E and Sharp, DJ and Edwards, AD and Rueckert, D},
doi = {10.1007/978-3-642-34713-9_23},
pages = {178--185},
title = {Relating brain functional connectivity to anatomical connections: Model selection},
url = {},
year = {2012}

RIS format (EndNote, RefMan)

AB - We aim to learn across several subjects a mapping from brain anatomical connectivity to functional connectivity. Following [1], we formulate this problem as estimating a multivariate autoregressive (MAR) model with sparse linear regression. We introduce a model selection framework based on cross-validation. We select the appropriate sparsity of the connectivity matrices and demonstrate that choosing an ordering for the MAR that lends to sparser models is more appropriate than a random. Finally, we suggest randomized Least Absolute Shrinkage and Selective Operator (LASSO) in order to identify relevant anatomo-functional links with better recovery of ground truth. © 2012 Springer-Verlag.
AU - Deligianni,F
AU - Varoquaux,G
AU - Thirion,B
AU - Robinson,E
AU - Sharp,DJ
AU - Edwards,AD
AU - Rueckert,D
DO - 10.1007/978-3-642-34713-9_23
EP - 185
PY - 2012///
SN - 0302-9743
SP - 178
TI - Relating brain functional connectivity to anatomical connections: Model selection
UR -
ER -