Alice Dabbagh

This study uses ultra-high-field fMRI to reveal layer-specific responses in the human spinal cord during heat-pain stimulation, identifying phasic and tonic response components in dorsal horn layers.

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 evaluates the reliability of task-based fMRI in the human spinal cord, finding poor reliability of BOLD responses across days but good reliability of autonomic responses.

The paper investigates how respiration and heartbeat influence tactile perception by analyzing timing of stimulation during the cardiac cycle and its effects on detection rates.