Imperial College London

ProfessorDanielRueckert

Faculty of EngineeringDepartment of Computing

Head of Department of Computing
 
 
 
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Contact

 

+44 (0)20 7594 8333d.rueckert Website

 
 
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Location

 

568Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@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}
}

RIS format (EndNote, RefMan)

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 -