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SCoRS - a method based on stability for feature selection and mapping in neuroimaging.

Rondina, J; Hahn, T; de Oliveira, L; Marquand, A; Dresler, T; Leitner, T; Fallgatter, A; ... Mourao-Miranda, J; + view all (2014) SCoRS - a method based on stability for feature selection and mapping in neuroimaging. IEEE Trans Med Imaging , 33 (1) pp. 85-98. 10.1109/TMI.2013.2281398. Green open access

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Abstract

Feature selection (FS) methods play two important roles in the context of neuroimaging based classification: potentially increase classification accuracy by eliminating irrelevant features from the model and facilitate interpretation by identifying sets of meaningful features that best discriminate the classes. Although the development of FS techniques specifically tuned for neuroimaging data is an active area of research, up to date most of the studies have focused on finding a subset of features that maximizes accuracy. However, maximizing accuracy does not guarantee reliable interpretation as similar accuracies can be obtained from distinct sets of features. In the current paper we propose a new approach for selecting features: SCoRS (Survival Count on Random Subsamples) based on a recently proposed Stability Selection theory. SCoRS relies on the idea of choosing relevant features that are stable under data perturbation. Data are perturbed by iteratively subsampling both features (subspaces) and examples. We demonstrate the potential of the proposed method in a clinical application to classify depressed patients versus healthy individuals based on fMRI data acquired during visualization of happy faces.

Type: Article
Title: SCoRS - a method based on stability for feature selection and mapping in neuroimaging.
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TMI.2013.2281398
Publisher version: http://dx.doi.org/10.1109/TMI.2013.2281398
Additional information: © 2013 IEEE. This work is licensed under a Creative Commons Attribution 3.0 License.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Movement Neurosciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/1412985
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