Stephanie C. Leach

This paper introduces beta-PPI, a method to estimate how trial-wise variables modulate functional connectivity in event-related fMRI, showing improved statistical power and temporal specificity.

The paper uses a computational model and fMRI data to show how frontoparietal hubs dynamically reconfigure connectivity based on different stages of information integration during behavior.

The paper investigates how hierarchical neural representations support cognitive flexibility by analyzing task switch costs and neural reconfiguration in fMRI data from healthy adults.

The paper develops a computational neuroimaging framework to study how the brain integrates internal and external stochastic information to guide behavior, finding that frontoparietal hubs integrate uncertainty from distributed brain regions.

This study investigates thalamic contributions to hierarchical cognitive control by analyzing thalamic activity and thalamocortical interactions during task context switches.

HAPPILEE is a standardized automated pipeline for low-density EEG and ERP data processing, optimized for scalability and quality metrics.

The MADE pipeline automates EEG preprocessing for pediatric data, addressing artifact contamination and short recording periods, and provides quality reports.

The paper optimizes the ADJUST algorithm for pediatric EEG data using geodesic nets, improving artifact classification and data retention compared to original ADJUST and ICLabel.