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Adapting to one novel condition of a motor task has been shown to generalize to other naïve conditions (i.e., motor generalization). In contrast, learning one task affects the proficiency of another task that is altogether different (i.e. motor transfer). Much more is known about motor generalization than about motor transfer,

Adapting to one novel condition of a motor task has been shown to generalize to other naïve conditions (i.e., motor generalization). In contrast, learning one task affects the proficiency of another task that is altogether different (i.e. motor transfer). Much more is known about motor generalization than about motor transfer, despite of decades of behavioral evidence. Moreover, motor generalization is studied as a probe to understanding how movements in any novel situations are affected by previous experiences. Thus, one could assume that mechanisms underlying transfer from trained to untrained tasks may be same as the ones known to be underlying motor generalization. However, the direct relationship between transfer and generalization has not yet been shown, thereby limiting the assumption that transfer and generalization rely on the same mechanisms. The purpose of this study was to test whether there is a relationship between motor generalization and motor transfer. To date, ten healthy young adult subjects were scored on their motor generalization ability and motor transfer ability on various upper extremity tasks. Although our current sample size is too small to clearly identify whether there is a relationship between generalization and transfer, Pearson product-moment correlation results and a priori power analysis suggest that a significant relationship will be observed with an increased sample size by 30%. If so, this would suggest that the mechanisms of transfer may be similar to those of motor generalization.
ContributorsSohani, Priyanka (Author) / Schaefer, Sydney (Thesis advisor) / Daliri, Ayoub (Committee member) / Honeycutt, Claire (Committee member) / Arizona State University (Publisher)
Created2018
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Description
In motor training, transfer is defined as the gain/loss of performance in one task as a result of training on another. In our laboratory, we have observed that training on a multi-joint coordination task (which simulates arm and wrist movement when feeding) transfers to a dexterity task (which simulates finger

In motor training, transfer is defined as the gain/loss of performance in one task as a result of training on another. In our laboratory, we have observed that training on a multi-joint coordination task (which simulates arm and wrist movement when feeding) transfers to a dexterity task (which simulates finger and hand movement when dressing), such that there are improvements in the dexterity task that emerge without having trained on that specific task. More recently, we have shown that the dexterity task transfers to the multi-joint coordination task. These collective findings suggest that there are shared movement patterns between these two functional motor tasks that may yield this bi-directional transfer effect. Therefore, the objective of this thesis project was to collect kinematic data of the hand to use in future principal component analyses to better understand the underlying mechanism of transfer between these two functional motor tasks. The joint angles of the hand were recorded during twenty second trials of the multi-joint coordination task and the dexterity task. The ranges of motion for the joints in the hand during naïve performance of both motor tasks were analyzed. From a linear regression analysis, we observe that the hand’s ranges of motion were strongly correlated between the two tasks, which suggests that these two functionally different tasks may share movement patterns in terms of joint angles. This similarity of joint angles of the hand may play a role in why we observe this bi-directional transfer between the dexterity and multi-joint coordination tasks. Following neurological injury, patients participate in physical therapy in order to retrain their nervous system to restore lost motor function(s). If patients can only practice a limited number of activities in therapy, our data suggest that other activities may also improve through transfer of training. Kinematic data collection may inform how much a patient improves with motor training and why there may be an improvement in untrained motor tasks.
ContributorsConnor, Sydney Christine (Author) / Schaefer, Sydney (Thesis director) / Peterson, Daniel (Committee member) / Harrington Bioengineering Program (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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Description
Previous research has shown that a loud acoustic stimulus can trigger an individual's prepared movement plan. This movement response is referred to as a startle-evoked movement (SEM). SEM has been observed in the stroke survivor population where results have shown that SEM enhances single joint movements that are usually performed

Previous research has shown that a loud acoustic stimulus can trigger an individual's prepared movement plan. This movement response is referred to as a startle-evoked movement (SEM). SEM has been observed in the stroke survivor population where results have shown that SEM enhances single joint movements that are usually performed with difficulty. While the presence of SEM in the stroke survivor population advances scientific understanding of movement capabilities following a stroke, published studies using the SEM phenomenon only examined one joint. The ability of SEM to generate multi-jointed movements is understudied and consequently limits SEM as a potential therapy tool. In order to apply SEM as a therapy tool however, the biomechanics of the arm in multi-jointed movement planning and execution must be better understood. Thus, the objective of our study was to evaluate if SEM could elicit multi-joint reaching movements that were accurate in an unrestrained, two-dimensional workspace. Data was collected from ten subjects with no previous neck, arm, or brain injury. Each subject performed a reaching task to five Targets that were equally spaced in a semi-circle to create a two-dimensional workspace. The subject reached to each Target following a sequence of two non-startling acoustic stimuli cues: "Get Ready" and "Go". A loud acoustic stimuli was randomly substituted for the "Go" cue. We hypothesized that SEM is accessible and accurate for unrestricted multi-jointed reaching tasks in a functional workspace and is therefore independent of movement direction. Our results found that SEM is possible in all five Target directions. The probability of evoking SEM and the movement kinematics (i.e. total movement time, linear deviation, average velocity) to each Target are not statistically different. Thus, we conclude that SEM is possible in a functional workspace and is not dependent on where arm stability is maximized. Moreover, coordinated preparation and storage of a multi-jointed movement is indeed possible.
ContributorsOssanna, Meilin Ryan (Author) / Honeycutt, Claire (Thesis director) / Schaefer, Sydney (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12