FMRI group studies of brain connectivity via a group robust LASSO

Xiaohui Chen, Z. Jane Wang, Martin J. Mckeown

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Inferring effective brain connectivity from neuroimaging data such as functional Magnetic Resonance Imaging (fMRI) has been attracting increasing interest due to its critical role in understanding brain functioning. Incorporating sparsity into connectivity modeling to make models more biologically realistic and performing group analysis to deal with inter-subject variability are still challenges associated with fMRI brain connectivity modeling. To address the above two crucial challenges, the attractive computational and theoretical properties of the least absolute shrinkage and selection operator (LASSO) in sparse linear regression provide a suitable starting point. We propose a group robust LASSO (grpRLASSO) model by combining advantages of the popular group-LASSO and our recently developed robust-LASSO. Here group analysis is formulated as a grouped variable selection procedure. Superior performance of the proposed grpRLASSO in terms of group selection and robustness is demonstrated by simulations with large noise variance. The grpRLASSO is also applied to a real fMRI data set for brain connectivity study in Parkinson's disease, resulting in biologically plausible networks.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages589-592
Number of pages4
DOIs
StatePublished - Dec 1 2010
Externally publishedYes
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: Sep 26 2010Sep 29 2010

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period9/26/109/29/10

Keywords

  • Brain connectivity
  • Group LASSO
  • Group analysis
  • Robustness
  • Sparse linear regression
  • fMRI

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Fingerprint Dive into the research topics of 'FMRI group studies of brain connectivity via a group robust LASSO'. Together they form a unique fingerprint.

  • Cite this

    Chen, X., Wang, Z. J., & Mckeown, M. J. (2010). FMRI group studies of brain connectivity via a group robust LASSO. In 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings (pp. 589-592). [5652779] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2010.5652779