Group-regularized individual prediction: theory and application to pain

Volume: 145, Pages: 274 - 287
Published: Jan 1, 2017
Abstract
Multivariate pattern analysis (MVPA) has become an important tool for identifying brain representations of psychological processes and clinical outcomes using fMRI and related methods. Such methods can be used to predict or ‘decode’ psychological states in individual subjects. Single-subject MVPA approaches, however, are limited by the amount and quality of individual-subject data. In spite of higher spatial resolution, predictive accuracy from...
Paper Details
Title
Group-regularized individual prediction: theory and application to pain
Published Date
Jan 1, 2017
Journal
Volume
145
Pages
274 - 287
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