Marianne Cumella Reddan

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.

The paper develops a classifier using fMRI data to distinguish sexual from non-sexual images with high accuracy and shows its generalizability across individuals.

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 uses machine learning to identify physiological markers of pain and shows cognitive self-regulation affects both pain ratings and autonomic responses.