Abstract

Flipping a coin in your head without monitoring outcomes? Comments on predicting free choices and a demo program

Highlights

  • In a recent study Soon et al (2013) predicted abstract intentions from fMRI BOLD activities in localized areas of the brain

  • A prediction accuracy of 60% averaged across participants and based on 10-fold cross-validation was achieved for patterns of voxel activities in the medial frontopolar cortex and precuneus up to 4 s before participants reported being consciously aware of their decision

  • Since the task demands placed on the participants create similar methodological issues as in previous studies (Lages and Jaworska, 2012), it seems possible that the multivariate classifier picked up sequential information processing between trials (Bode et al, 2012)

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Summary

Introduction

In a recent study Soon et al (2013) predicted abstract intentions from fMRI BOLD activities in localized areas of the brain. Activities in a spherical cluster of voxels served as input to a multivariate pattern classifier (linear SVM).

Results
Conclusion
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