Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Factors modulating the generalization of human locomotor adaptation

Aucie, Yashar (2021) Factors modulating the generalization of human locomotor adaptation. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

[img] PDF
Restricted to University of Pittsburgh users only until 3 September 2023.

Download (60MB) | Request a Copy

Abstract

Generalization in motor control is defined as the ability to carry over information from trained experiences to novel situations. The generalization capacity is critical for the efficacy of robotic-assisted rehabilitation. Namely, if devices like exoskeletons or treadmills are to be used as training devices, patients must generalize the movements learned with the devices to real-life situations without them. Therefore, there is an interest in finding factors facilitating the generalization of corrected movements on a training device beyond the clinical setting. My dissertation focuses on identifying factors regulating the generalization process in locomotor adaptation. To this end, I used a split-belt treadmill (training context) to induce locomotor adaption by moving the legs at different speeds, and I evaluated the generalization of the treadmill-adaptation effects (after-effects) to overground walking (testing context). I specifically determined the extent to which small vs. large perturbations during split-belt walking have a distinct effect on the generalization of adapted movements in young and older adults (Aim 1). I found that older adults generalize their movements more than young regardless of the perturbation size experienced during adaptation. I also investigated the impact of increasing the extent of treadmill-adaptation vs. reducing the contextual similarity between the treadmill and overground walking on the generalization of locomotor adaptation (Aim 2). Results from this aim showed that contextual similarity is more important than the extent of adaptation in the generalization of corrected movements. Thus, in my last aim, I used a pair of motorized shoes to induce split-belt treadmill-like adaptation that could increase the contextual similarity between walking with the motorized shoes (training context) and walking without them (testing context) (Aim 3). Results from Aim 3 confirmed that a pair of motorized shoes can induce the same type of robust locomotor adaptation as the split-belt treadmill, opening the possibility to enhance the generalization of correct movements with this training device to walking without it. Taken together, my work advanced our understanding of generalization in locomotor adaptation and has the potential to guide training strategies exploiting the human generalization ability to benefit motor performances in new situations.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Aucie, Yasharyaa21@pitt.eduyaa21
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairTorres-Oviedo, Gelsygelsyto@pitt.edugelsyto
Committee MemberRedfern, Markmredfern@pitt.edumredfern
Committee MemberMao, Zhi-Hongzhm4@pitt.eduzhm4
Committee MemberReisman, Darcydreisman@udel.eduNA
Date: 3 September 2021
Date Type: Publication
Defense Date: 14 June 2021
Approval Date: 3 September 2021
Submission Date: 27 June 2021
Access Restriction: 2 year -- Restrict access to University of Pittsburgh for a period of 2 years.
Number of Pages: 14
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Bioengineering
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: motor learning; rehabilitation robotics; gait; aging; kinematics; kinetics; real-world
Related URLs:
Date Deposited: 03 Sep 2021 17:44
Last Modified: 03 Sep 2021 17:44
URI: http://d-scholarship.pitt.edu/id/eprint/41363

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item