Stephen José Hanson

The paper introduces causally informed activity flow models to better understand network-generated cognitive activations by using causal functional connectivity measures.

The paper analyzes temporal dynamics of default mode network activity using Human Connectome Project data, showing that the network's activity changes over time during tasks, challenging the traditional view of it being task-negative.

The paper estimates latent functional connectivity across multiple brain states and finds it better captures state-general intrinsic connectivity than resting-state measures.

This paper introduces a new fMRI decoding method that reveals second-order isomorphisms in neural representations of colors and letters by decorrelating stimulus data and projecting to lower dimensions.