Kenneth Arnold Weber II

This study uses simultaneous spinal cord-brain fMRI to show how nociceptive stimuli and pain perception are encoded in corticospinal networks, with spinal cord activity primarily reflecting stimulus temperature.

This study uses median nerve stimulation in fMRI to assess spinal cord function in DCM patients and healthy controls, revealing distinct activation patterns and reduced activation in DCM.

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 study shows body size parameters significantly correlate with brain and spinal cord MRI metrics and should be included in neuroimaging studies.

This study uses simultaneous brain-spinal cord fMRI to map neural activity related to hand strength and dexterity, revealing graded activation and inhibition patterns across motor and sensory regions.

This study examines how variability in manually contoured spinal cord masks affects fMRI co-registration and activation mapping, finding that rater and dataset differences significantly impact spatial normalization and signal contrast.

This study evaluates motion correction methods for spinal cord fMRI, finding that 3D FLIRT with slice-wise regularization improves tSNR and reduces motion artifacts.