Journal Article

Decoding Spontaneous Emotional States in the Human Brain

LaBar, Kevin S., Kragel, Philip A., Knodt, Annchen R., Hariri, Ahmad R.

2016

Overview

Pattern classification of human brain activity provides unique insight into the neural underpinnings of diverse mental states. These multivariate tools have recently been used within the field of affective neuroscience to classify distributed patterns of brain activation evoked during emotion induction procedures. Here we assess whether neural models developed to discriminate among distinct emotion categories exhibit predictive validity in the absence of exteroceptive emotional stimulation. In two experiments, we show that spontaneous fluctuations in human resting-state brain activity can be decoded into categories of experience delineating unique emotional states that exhibit spatiotemporal coherence, covary with individual differences in mood and personality traits, and predict on-line, self-reported feelings. These findings validate objective, brain-based models of emotion and show how emotional states dynamically emerge from the activity of separable neural systems.

• Publisher: Public Library of Science,Public Library of Science (PLoS)
• Subject: Affect - physiology / Biology and Life Sciences / Brain - physiology / Brain Mapping / Brain research / Emotions / Emotions - physiology / Female / Humans / Male / Medicine and Health Sciences / Personality / Research and Analysis Methods / Rest - physiology / Social Sciences / Young Adult