A novel optic flow pattern speeds split-belt locomotor adaptation

Journal of Neurophysiology
James M FinleyAmy J Bastian

Abstract

Visual input provides vital information for helping us modify our walking pattern. For example, artificial optic flow can drive changes in step length during locomotion and may also be useful for augmenting locomotor training for individuals with gait asymmetries. Here we asked whether optic flow could modify the acquisition of a symmetric walking pattern during split-belt treadmill adaptation. Participants walked on a split-belt treadmill while watching a virtual scene that produced artificial optic flow. For the Stance Congruent group, the scene moved at the slow belt speed at foot strike on the slow belt and then moved at the fast belt speed at foot strike on the fast belt. This approximates what participants would see if they moved over ground with the same walking pattern. For the Stance Incongruent group, the scene moved fast during slow stance and vice versa. In this case, flow speed does not match what the foot is experiencing, but predicts the belt speed for the next foot strike. Results showed that the Stance Incongruent group learned more quickly than the Stance Congruent group even though each group learned the same amount during adaptation. The increase in learning rate was primarily driven by changes in spatial co...Continue Reading

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Citations

Jan 16, 2015·Neurorehabilitation and Neural Repair·James M FinleyGelsy Torres-Oviedo
Jul 6, 2017·Frontiers in Human Neuroscience·Trieu Phat LuuJose L Contreras-Vidal
Apr 14, 2015·Journal of Neurophysiology·Andrew W LongAmy J Bastian
Mar 11, 2016·Journal of Neurophysiology·Matthew A StattonAmy J Bastian
Mar 15, 2018·Journal of Neuroengineering and Rehabilitation·Gianluca U SorrentoJoyce Fung
Jul 24, 2015·Journal of Neurophysiology·Wouter HoogkamerJacques Duysens
Jun 5, 2020·Journal of Neuroengineering and Rehabilitation·Carly J Sombric, Gelsy Torres-Oviedo
Oct 18, 2020·Brain Sciences·Usman RashidAlain C Vandal
Apr 17, 2021·Frontiers in Virtual Reality·Emily A Keshner, Anouk Lamontagne

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