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An increasing number of military veterans are enrolling in college, primarily due to the Post-9/11 GI Bill, which provides educational benefits to veterans who served on active duty since September 11, 2001. With rigorous training, active combat situations, and exposure to unexpected situations, the veteran population is at a higher

An increasing number of military veterans are enrolling in college, primarily due to the Post-9/11 GI Bill, which provides educational benefits to veterans who served on active duty since September 11, 2001. With rigorous training, active combat situations, and exposure to unexpected situations, the veteran population is at a higher risk for traumatic brain injury (TBI), Post Traumatic Stress Disorder (PTSD), and depression. All of these conditions are associated with cognitive consequences, including attention deficits, working memory problems, and episodic memory impairments. Some conditions, particularly mild TBI, are not diagnosed or treated until long after the injury when the person realizes they have cognitive difficulties. Even mild cognitive problems can hinder learning in an academic setting, but there is little data on the frequency and severity of cognitive deficits in veteran college students. The current study examines self-reported cognitive symptoms in veteran students compared to civilian students and how those symptoms relate to service-related conditions. A better understanding of the pattern of self-reported symptoms will help researchers and clinicians determine the veterans who are at higher risk for cognitive and academic difficulties.
ContributorsAllen, Kelly Anne (Author) / Azuma, Tamiko (Thesis director) / Gallagher, Karen (Committee member) / Department of Speech and Hearing Science (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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An increasing number of veterans are transitioning from military service to college. Critical to academic success is the process of decision-making, which previous research has found to be influenced by a variety of factors including anxiety and working memory (WM). Many service-related conditions often influence anxiety and WM, and given

An increasing number of veterans are transitioning from military service to college. Critical to academic success is the process of decision-making, which previous research has found to be influenced by a variety of factors including anxiety and working memory (WM). Many service-related conditions often influence anxiety and WM, and given the high prevalence of these conditions among veterans, the present study aimed to analyze the effects of working memory and anxiety on decision-making behavior in U.S. Military Veterans. Participants completed a large test battery including tasks assessing WM skills (Symmetry Span Task), anxiety (Beck Anxiety Inventory), and decision-making (Iowa Gambling Task). The study results indicated that WM and anxiety both play roles in decision-making performance in young military veterans. High anxiety is related to increased avoidance of adverse outcomes in decision-making for U.S. Military Veterans, while lower working memory span is associated with greater risk-taking behavior. This study provides both functional and clinical implications into areas of possible intervention that need to be assessed in military veterans, as well as modifications to these assessments that need to be made in order to appropriately measure decision-making behavior. Future work will be done in order to more effectively analyze the adverse impacts of service-related conditions and the ways in which intervention can be implemented in order to minimize these effects.
ContributorsTully, Mckayla Lynne (Author) / Azuma, Tamiko (Thesis director) / Gallagher, Karen (Committee member) / Department of Psychology (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / Department of Speech and Hearing Science (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description

The brain continuously monitors speech output to detect potential errors between its sensory prediction and its sensory production (Daliri et al., 2020). When the brain encounters an error, it generates a corrective motor response, usually in the opposite direction, to reduce the effect of the error. Previous studies have shown

The brain continuously monitors speech output to detect potential errors between its sensory prediction and its sensory production (Daliri et al., 2020). When the brain encounters an error, it generates a corrective motor response, usually in the opposite direction, to reduce the effect of the error. Previous studies have shown that the type of auditory error received may impact a participant’s corrective response. In this study, we examined whether participants respond differently to categorical or non-categorical errors. We applied two types of perturbation in real-time by shifting the first formant (F1) and second formant (F2) at three different magnitudes. The vowel /ɛ/ was shifted toward the vowel /æ/ in the categorical perturbation condition. In the non-categorical perturbation condition, the vowel /ɛ/ was shifted to a sound outside of the vowel quadrilateral (increasing both F1 and F2). Our results showed that participants responded to the categorical perturbation while they did not respond to the non-categorical perturbation. Additionally, we found that in the categorical perturbation condition, as the magnitude of the perturbation increased, the magnitude of the response increased. Overall, our results suggest that the brain may respond differently to categorical and non-categorical errors, and the brain is highly attuned to errors in speech.

ContributorsCincera, Kirsten Michelle (Author) / Daliri, Ayoub (Thesis director) / Azuma, Tamiko (Committee member) / School of Sustainability (Contributor) / College of Health Solutions (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description
Cochlear implant (CI) successfully restores hearing sensation to profoundly deaf patients, but its
performance is limited by poor spectral resolution. Acoustic CI simulation has been widely used
in normal-­hearing (NH) listeners to study the effect of spectral resolution on speech perception,
while avoiding patient-­related confounds. It is unclear how speech production may change

Cochlear implant (CI) successfully restores hearing sensation to profoundly deaf patients, but its
performance is limited by poor spectral resolution. Acoustic CI simulation has been widely used
in normal-­hearing (NH) listeners to study the effect of spectral resolution on speech perception,
while avoiding patient-­related confounds. It is unclear how speech production may change with
the degree of spectral degradation of auditory feedback as experience by CI users. In this study,
a real-­time sinewave CI simulation was developed to provide NH subjects with auditory
feedback of different spectral resolution (1, 2, 4, and 8 channels). NH subjects were asked to
produce and identify vowels, as well as recognize sentences while listening to the real-­time CI
simulation. The results showed that sentence recognition scores with the real-­time CI simulation
improved with more channels, similar to those with the traditional off-­line CI simulation.
Perception of a vowel continuum “HEAD”-­ “HAD” was near chance with 1, 2, and 4 channels,
and greatly improved with 8 channels and full spectrum. The spectral resolution of auditory
feedback did not significantly affect any acoustic feature of vowel production (e.g., vowel space
area, mean amplitude, mean and variability of fundamental and formant frequencies). There
was no correlation between vowel production and perception. The lack of effect of auditory
feedback spectral resolution on vowel production was likely due to the limited exposure of NH
subjects to CI simulation and the limited frequency ranges covered by the sinewave carriers of
CI simulation. Future studies should investigate the effects of various CI processing parameters
on speech production using a noise-­band CI simulation.
ContributorsPerez Lustre, Sarahi (Author) / Luo, Xin (Thesis director) / Daliri, Ayoub (Committee member) / Division of Teacher Preparation (Contributor) / College of Health Solutions (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05