Michelle C. Medina

This study maps whole-brain motor activity during shoulder abduction tasks using fMRI, showing subject-specific activation patterns and consistent amplitude across regions.

This study compares ME-ICA denoising approaches in motor-task fMRI, finding that a conservative method better preserves task-related signal while reducing noise in high-motion scenarios.

This study evaluates statistical methods for analyzing whole-brain task-based fMRI data, finding that a whole-brain voxel-level approach with FDR correction offers highest sensitivity and consistency.

The paper shows that task instructions modulate stretch-evoked motor responses in the human brainstem, as evidenced by changes in reticulospinal activation during fMRI.

This paper applies multi-echo fMRI and precision mapping to identify auditory activation patterns at both group and individual levels.