Kevin S. LaBar

This study examines the relationship between neural activation during reappraisal tasks and individual differences in emotion regulation, finding no shared overlap across three measures and highlighting methodological challenges in fMRI research.

In 50 trauma-exposed veterans, thalamic hypoactivity to near virtual-reality threats tracked both PTSD and MDD severity, while amygdala hyperactivity to far threats tracked only PTSD severity.

The paper identifies convergent and selective functional zones in the insula using fMRI data, revealing a hierarchical convergence architecture across pain, appetitive, aversive, and cognitive control domains.

This study decodes arousal and valence from whole-brain fMRI data during emotion inductions, revealing widespread neural representations and cerebellar/brainstem contributions.

This study investigates how 15 emotional states are represented in the brain using fMRI and finds that categorical labels better correlate with brain activity than dimensional ratings.

This study examines how threat during goal pursuit affects amygdala-prefrontal cortex connectivity in PTSD, finding disrupted connectivity and altered vmPFC activation in PTSD patients compared to trauma-exposed controls.

The paper develops a convolutional neural network to decode images into emotion categories and shows that human visual cortex activity reflects these emotion representations.

This study finds smaller left hippocampal CA1 volume in PTSD patients compared to trauma-exposed controls, with associations dependent on covariates.