Original paper
A novel and effective fMRI decoding approach based on sliced inverse regression and its application to pain prediction
Abstract
Dimension reduction is essential in fMRI decoding, but the complex relationship between fMRI data and class labels is often unknown or not well modeled so that the most effective dimension reduction (e.d.r.) directions can hardly be identified. In the present study, we introduce a novel fMRI decoding approach based on an effective and general dimension reduction method, namely sliced inverse regression (SIR), which can exploit class information...
Paper Details
Title
A novel and effective fMRI decoding approach based on sliced inverse regression and its application to pain prediction
Published Date
Jan 1, 2018
Journal
Volume
273
Pages
373 - 384
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