Relating brain functional connectivity to anatomical connections: Model selection

Fani Deligianni; Gaël Varoquaux; Bertrand Thirion; Emma Robinson; David J. Sharp; A. David Edwards; Daniel Rueckert

doi:10.1007/978-3-642-34713-9_23

Relating brain functional connectivity to anatomical connections: Model selection

Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, Emma Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	178-185
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7263 LNAI
DOIs	https://doi.org/10.1007/978-3-642-34713-9_23
State	Published - 2012
Externally published	Yes
Event	International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2011, Held at Neural Information Processing, NIPS 2011 - Sierra Nevada, Spain Duration: 16 Dec 2011 → 17 Dec 2011

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Deligianni, F., Varoquaux, G., Thirion, B., Robinson, E., Sharp, D. J., Edwards, A. D., & Rueckert, D. (2012). Relating brain functional connectivity to anatomical connections: Model selection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7263 LNAI, 178-185. https://doi.org/10.1007/978-3-642-34713-9_23

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title = "Relating brain functional connectivity to anatomical connections: Model selection",

abstract = "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.",

author = "Fani Deligianni and Ga{\"e}l Varoquaux and Bertrand Thirion and Emma Robinson and Sharp, {David J.} and Edwards, {A. David} and Daniel Rueckert",

year = "2012",

doi = "10.1007/978-3-642-34713-9_23",

language = "English",

volume = "7263 LNAI",

pages = "178--185",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

publisher = "Springer Science and Business Media Deutschland GmbH",

note = "International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2011, Held at Neural Information Processing, NIPS 2011 ; Conference date: 16-12-2011 Through 17-12-2011",

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Deligianni, F, Varoquaux, G, Thirion, B, Robinson, E, Sharp, DJ, Edwards, AD & Rueckert, D 2012, 'Relating brain functional connectivity to anatomical connections: Model selection', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7263 LNAI, pp. 178-185. https://doi.org/10.1007/978-3-642-34713-9_23

Relating brain functional connectivity to anatomical connections: Model selection. / Deligianni, Fani; Varoquaux, Gaël; Thirion, Bertrand et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 7263 LNAI, 2012, p. 178-185.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Relating brain functional connectivity to anatomical connections

T2 - International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2011, Held at Neural Information Processing, NIPS 2011

AU - Deligianni, Fani

AU - Varoquaux, Gaël

AU - Thirion, Bertrand

AU - Robinson, Emma

AU - Sharp, David J.

AU - Edwards, A. David

AU - Rueckert, Daniel

PY - 2012

Y1 - 2012

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=84870027805&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-34713-9_23

DO - 10.1007/978-3-642-34713-9_23

M3 - Conference article

AN - SCOPUS:84870027805

SN - 0302-9743

VL - 7263 LNAI

SP - 178

EP - 185

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Y2 - 16 December 2011 through 17 December 2011

ER -

Relating brain functional connectivity to anatomical connections: Model selection

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