Mark Schram Christensen

This study investigates how proprioceptive velocity signals influence perceived limb position during movement, finding that muscle vibration correlates movement speed errors with endpoint errors.

This paper examines how velocity-based and position-based proprioceptive feedback influence state estimation during motor control using a Bayesian model and simulations of sensorimotor experiments.

This study investigates how the brain uses velocity-based versus positional proprioceptive feedback for state estimation when visual feedback is absent, showing a stronger reliance on velocity-based cues.

This study investigates metacognitive access to sensorimotor signals in a force task and finds that internal attention focus reduces force variability.

This study uses TMS in force and angle tasks to test whether corticospinal excitability reflects a motor command or a proprioceptive prediction, finding support for optimal control theory.

The paper investigates which movement parameters are reflected in corticospinal excitability using MEP amplitude and finds that force, angle, and velocity are all reflected when EMG is considered.

This study investigates whether changes in action-effect probability affect electrophysiological markers of intentional binding but finds no such evidence.

This study examines age-related differences in cortico-cortical connectivity during ankle force control using EEG and finds that bidirectional M1-PMC coupling relates to force precision, with distinct patterns in young and older adults.