When vision lags, motor prediction follows

Abstract

When we act, our brains register the visual feedback of the outcome of our actions only approximately 150 ms after sending the motor commands to the muscles. By anticipating the sensory consequences of our actions, temporal prediction mechanisms help us to accurately perform time-critical motor actions, such as catching a ball, and to experience the world as temporally coherent. It remains unclear whether these prediction mechanisms can adapt in a general way to changing sensory feedback delays, as they occur, for instance, when neural processing times increase during development. We here used Augmented Reality to train participants for one hour in a range of everyday life tasks with different levels of artificial visual feedback delay: 0 ms (No Delay), 100 ms (Small Delay) and 250 ms (Large Delay). We tested whether temporal aftereffects (increased motor-anticipation) generalize across different perceptual and motor tasks that participants did not practice during training and that involve different aspects of sensorimotor integration (motor planning, feedback control, sensorimotor time perception). Our results show a consistent temporal aftereffect of 33% across tasks and levels of delay. This suggests that the human sensorimotor system can adapt to the presence of visual feedback delays in a that affects sensorimotor prediction in general.