@inproceedings{Deligianni:2012:10.1007/978-3-642-34713-9_23,
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 = {http://dx.doi.org/10.1007/978-3-642-34713-9_23},
year = {2012}
}

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TY  - CPAPER
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  - http://dx.doi.org/10.1007/978-3-642-34713-9_23
ER  - 

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