Psychology
Distinguishing deception from its confounds by improving the validity of fMRI-based neural prediction
S. Lee, R. Niu, et al.
Research conducted by Sangil Lee, Runxuan Niu, Lusha Zhu, Andrew S. Kayser, and Ming Hsu applies machine learning and fMRI to signaling games to reassess how the brain supports deception. The study reveals that many neural predictors capture confounding processes, and introduces a "dual-goal tuning" method that removes confounds while preserving deception-related signals—offering a firmer foundation for neural studies of lying.
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