Thomas E. Kraynak

The elusive neural signature of emotion regulation capabilities: evidence from a large-scale consortium

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.

From the scanner to daily life: Neural expression of the Picture-Induced Negative Emotion Signature is associated with real-world daily and momentary negative affect in midlife adults

This study shows that a brain pattern predicting negative affect in fMRI correlates with real-world negative affect in midlife adults.

The functional neurobiology of negative affective traits across regions, networks, signatures, and a machine learning multiverse

The paper investigates the neural basis of negative affective traits using fMRI data from 458 adults, finding that whole-brain machine learning models better predict stress vulnerability than region- or network-level measures.

Deconstructing the brain bases of emotion regulation: A systems-identification approach using Bayes factors

The paper identifies four neural systems related to cognitive reappraisal using Bayes factors and systems-identification in fMRI data from two studies.

Similarity in evoked responses does not imply similarity in macroscopic network states across tasks

The paper compares task-related network profiles and activation patterns in two executive control tasks, finding greater differences in functional correlations than in evoked activity.