Negative affect personality trait could be accurately decoded from patterns of brain activation to threat stimuli. The multiple kernel learning (MKL) approach showed the contribution of different brain areas to the predictions. Regions related to perception and emotional evaluation contributed to predicting the individuals' Negative Affect (NA). Our results suggest that the NA trait plays an important role in the brain response to threat stimuli.