@inproceedings{Berlin3438,
   Author = {LaConte, S. and Glielmi, C. and Heberlein, K. and Hu, X.},
   Title ={Verifying visual fixation to improve f{M}{R}{I} with predictive eye estimation regression ({P}{E}{E}{R})},
   BookTitle = {Proceedings 15th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Berlin},
   Pages = {3438},
   Abstract = {We demonstrate imaged-based eye-tracking with PEER (Predictive Eye Estimation Regression) concurrent with fMRI. Multivariate SVM regression is performed on calibration data and the resulting model is used to estimate point-of-gaze in fMRI runs. Results demonstrate i) eye-tracking during an fMRI retinotopic run, ii) improved retinotopic mapping when eye fixation information is available, and iii) comparable performance between PEER and a commercial eye-tracking system. The primary goal of this work is to demonstrate that PEER can be used for fMRI using different stimuli from the calibration run. Notably, PEER does not alter fMRI results and can be applied at any site.},
 Keywords = {Berlin3438},
   Year = {2007} }