Olivia S. Kowalczyk

This study evaluates the test-retest reliability of spinal cord fMRI during sensorimotor tasks, finding poor-to-fair reliability despite consistent task performance and signal quality.

This study evaluates susceptibility-matched padding's impact on spinal fMRI quality, finding improved B0 field homogeneity and functional image metrics in cervical and lumbar spinal cord scans.

The paper introduces EPISeg, a deep learning model for automated spinal cord segmentation on gradient-echo EPI data, showing improved performance over existing methods.

This paper introduces a novel spinal fMRI method to study functional connectivity in the cervical spinal cord, finding mixed test-retest reliability but consistent spatial organization across sessions.

This study uses electronic cigarettes with fMRI to examine brain activation during smoking, revealing neural networks and deactivations associated with simulated smoking.