The Mechanisms of Auditory Training with Cochlear Implant Simulations
- Author (aut): Kim, Seeon
- Thesis advisor (ths): Luo, Xin
- Committee member: Azuma, Tamiko
- Committee member: Zhou, Yi
- Publisher (pbl): Arizona State University
The present study examined the effects that mild traumatic brain injury (mTBI) has on an individual’s episodic memory by looking at participants’ abilities to recall stories both immediately after being verbally told and after a delay. Thirty-seven participants were sorted into a control group (N=27) and a mTBI group (N=10) and then given the Wechsler Memory Scale’s two subtests, Logical Memory I and Logical Memory II. Logical Memory I consists of two verbally given stories in which the participant immediately retells the story to the assessor with as much detail and original vocabulary as they can remember. Logical Memory II has the participants, without prior knowledge, retell the same two stories after a thirty-minute delay. Once recorded, researchers transcribed and scored the participants’ story recalls, gathering data on what errors, correct ideas, and vocabulary the participants made and remembered. The data was then analyzed through an Analysis of Variance (ANOVA), looking at the interaction of Story (of the two stories that the participants were told), Group (whether mTBI or control) , and Delay (whether it was the immediate or delayed recall). Trends in the data show that participants with a history of mTBI do more poorly than the control group proving that memory is affected by acquired brain injury and that further studies to examine how and why this is the case are needed.
Studies during and following the height of the Coronavirus pandemic show that psychological and physical health levels decrease, due to factors such as reduced human contact and anxiety. However, there is little to no research on how quality of life levels would change over the course of the pandemic for families who have the added stress of having a child with a developmental complication. To answer this question, this study utilized longitudinal data from the Babble Boot Camp, a project under the ASU Speech Language Genetics Lab, to analyze quality of life measures in families who have children with Classic Galactosemia (CG). CG is an inborn metabolic disorder that causes an intolerance to galactose, a sugar in dairy, the effects of which can be deadly. These children often show signs of developmental delays in multiple areas within the first few years of life. Studying quality of life surveys before, during, and after the most intense phase of the pandemic, this study investigates the difference between these families and those with typical children.
The purpose of this study was to evaluate the pandemic’s effect on the psychosocial and physical quality of life of children with and without classic galactosemia and their parents in the Babble Boot Camp. The Babble Boot Camp within ASU’s Speech and Hearing Genetics Lab provides early intervention speech therapy for children with classic galactosemia (CG), evaluating their speech progress as well as other metrics related to stress and quality of life. In this study, the Quality of Life questionnaire (Varni, 1998) was used to measure how three pandemic stages (pre-pandemic, intense-pandemic, post intense-pandemic) affected the entire participant population, those with CG children compared to typically developing, and each family member (father vs. mother vs. child). These factors were combined within an integrated regression model to see driving factors and correlations within responses. The main results were that the pandemic itself did not have a significant effect, but there was quite a significant impact on psychosocial health when comparing affected vs unaffected groups. Evaluating an integrated regression model with the consideration of all three pandemic phases, the results show that the factor driving group differences over time was the affectation of the participant for psychosocial health and family member for physical health. When looking at just pre-pandemic and intense pandemic phase, both models in their entirety were significant, showing that all predictors (affectation, pandemic phase, and family member) drove health differences. Lastly, the findings of the study show that there were significant correlations between the health scores of fathers, mothers, and children throughout the different stages of the pandemic.