Interpretable whole-brain prediction analysis with GraphNet
Multivariate machine learning methods are increasingly used to analyze neuroimaging data, often replacing more traditional “mass univariate” techniques that fit data one voxel at a time. In the functional magnetic resonance imaging (fMRI) literature, this has led to broad application of “off-the-she...
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| Published in: | NeuroImage (Orlando, Fla.) Vol. 72; pp. 304 - 321 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Amsterdam
Elsevier Inc
15.05.2013
Elsevier Elsevier Limited |
| Subjects: | |
| ISSN: | 1053-8119, 1095-9572, 1095-9572 |
| Online Access: | Get full text |
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