Matching Items (16)
Filtering by
- All Subjects: Biomedical Engineering
- All Subjects: psychology
- Genre: Doctoral Dissertation
- Creators: Greger, Bradley
- Status: Published
Description
Never married parents (NMPs) are a burgeoning population within the Family Court system. However, there is no empirical research on these parents' separation process, though the neighboring literature purports that NMPs are more at risk for negative child wellbeing outcomes than their divorcing counterparts. This study investigated child behavior problems in high conflict litigating never married families by assessing four salient issues collectively termed chaotic environment: economic strain, lack of social support for the parents, parental repartnering, and family relocation, which included parent changing residence and child changing schools. They were then compared to divorcing parents. It was hypothesized that NMPs would experience higher levels of chaotic environment, and subsequent increases in child behavior problems than divorcing parents, but that the relationship for NMPs and divorcing parents would be the same with each of the chaotic environment variables. This study found the contrary. NMPs only had significantly higher mean scores on lack of social support for fathers and marital status did not predict child behavior problems. Both economic strain and child changing schools predicted child behavior problems for both mothers and fathers. Two interaction effects with mothers were found, indicating that the more a never married mothers repartnered and/or changed her residence, the more behavior problems her child had, while divorcing mothers experiencing the converse effect.
ContributorsHita, Liza Cohen (Author) / Braver, Sanford (Thesis advisor) / Sandler, Irwin (Thesis advisor) / Bernstein, Bianca (Committee member) / Homer, Judith (Committee member) / Arizona State University (Publisher)
Created2011
Description
School bullying is a serious problem for children and adolescents, associated with a multitude of psychological and behavioral problems. Interventions at the individual level have primarily been social skills training for victims of bullying. However, investigators have had mixed results; finding little change in victimization rates. It has been suggested victims of school bullying have the social skills necessary to be effective in a bullying situation; however they experience intense emotional arousal and negative thoughts leading to an inability to use social skills. One intervention that has been getting increasing acknowledgement for its utility in the intervention literature in psychology is mindfulness. However, there has been no research conducted examining the effects of mindfulness meditation on victims of bullying. Therefore, the purpose of this study was to develop an online intervention for victims of bullying that utilizes the cutting-edge technique of mindfulness and to determine the efficacy of this intervention in the context of bullying victimization. Participants were 32 adolescents ages 11 to 14 identified by their school facilitators as victims of bullying. Repeated measures ANOVAs were used to assess the efficacy of the NMT program versus a treatment as usual (TAU) social skills program. Results revealed significant decreases in victimization and increases in mindfulness among both treatment groups from pre-test to follow-up and post-test to follow-up assessments. There were no differences found between the two treatment groups for mean victimization or mindfulness scores. Overall, the NMT program appears to be a promising online intervention for bullied teens. Directions for future research and limitations of this study were also discussed.
ContributorsYabko, Brandon (Author) / Tracey, Terence J. G. (Thesis advisor) / Homer, Judith (Committee member) / Sebren, Ann (Committee member) / Arizona State University (Publisher)
Created2013
Description
As many as one-third of OEF/OIF soldiers and combat veterans may be struggling with less visible psychological injuries. Military/veteran students may face heightened difficulties as they are not only adjusting to civilian life but also transitioning to college life. University administrators and staff have been charged to address their transitional needs and to promote their academic success. Despite significant influx in enrollment with the passing of the Post-9/11 GI Bill, research on OEF/OIF service members and veterans in higher education remains limited. Utilizing self-report measures, the current study examined the psychosocial functioning of 323 military/veteran students enrolled at Arizona State University who served at least one combat deployment as part of OEF/OIF. The study further investigated whether enlisting for educational benefits and utilizing campus programs/services were associated with more positive academic persistence decisions. Participants were also asked to rate ASU's programming for military/veteran students as well as suggest campus programs/services to promote their academic success. More PTSD symptoms, depression, anxiety, and anger/aggression were found to be associated with less cultural congruity and lower perceived social support. Cultural congruity and social support were significant predictors of academic persistence decisions. Participants who reported utilizing more campus programs/services also tended to endorse more positive persistence decisions. No significant differences in persistence decisions were found between participants who enlisted in the military for education benefits and those who enlisted for non-educational reasons. Approximately two-thirds reported utilizing academic advising services and Veteran Benefits and Certifications. Library services, financial aid services, and ASU sporting events were the next most frequently utilized. More than 91% rated ASU's programming satisfactory or better. Over 71% of participants indicated that increasing recognition of their military experience would facilitate their academic success. Nearly 40% recommended a military/veteran student lounge and improvements to VA education benefits counseling. Another 30% recommended that ASU provide professional development for faculty/staff on military/veteran readjustment issues, improve the re-enrollment process following deployment/training, offer a veteran-specific orientation, and establish a department or center for military/veteran programming. Findings are discussed in light of Tinto's interactionist model of college student attrition, and implications for university mental health providers are presented.
ContributorsWeber, Dana Joy (Author) / Robinson Kurpius, Sharon E. (Thesis advisor) / Robinson Kurpius, Sharon (Committee member) / Roberts, Nicole (Committee member) / Homer, Judith (Committee member) / Arizona State University (Publisher)
Created2012
Description
The purpose of this study was to evaluate whether five select scales of the MMPI-A (F, Scale 2, A-dep, A-lse, and A-aln) are predictive of a diagnosis of a major depressive episode according to the current DSM-IV-TR criteria. Participants were 90 girls and 58 boys in a clinical psychiatric setting. The study examined two separate hypotheses across the five scales. The first set of hypotheses tested whether a significant T-score on each of the five scales would predict a diagnosis of a major depressive episode in clinical adolescents. The second set of hypotheses attempted to step away from the constraints of diagnostic and statistical cut-off criteria and evaluated the ability of discrete T-scores of the MMPI-A in predicting the number of symptoms of a major depressive episode in clinical adolescents. Results indicated that none of the five scales were predictive of a diagnosis of a major depressive disorder in clinical adolescents. All but one scale (Scale 2) was significant in its ability to predict the number of depressive symptoms in clinical adolescents. Implications of this study include the need for a better diagnostic criteria for adolescent depression as well as re-evaluating the cut-off criteria of scales on the MMPI-A. Directions for future research are also discussed.
ContributorsPham, Tuyen T (Author) / Claiborn, Charles D. (Thesis advisor) / Homer, Judith (Committee member) / Gerkin, Richard D. (Committee member) / Fair, Christine (Committee member) / Arizona State University (Publisher)
Created2010
Description
Multisensory integration is the process by which information from different sensory modalities is integrated by the nervous system. This process is important not only from a basic science perspective but also for translational reasons, e.g., for the development of closed-loop neural prosthetic systems. A mixed virtual reality platform was developed to study the neural mechanisms of multisensory integration for the upper limb during motor planning. The platform allows for selection of different arms and manipulation of the locations of physical and virtual target cues in the environment. The system was tested with two non-human primates (NHP) trained to reach to multiple virtual targets. Arm kinematic data as well as neural spiking data from primary motor (M1) and dorsal premotor cortex (PMd) were collected. The task involved manipulating visual information about initial arm position by rendering the virtual avatar arm in either its actual position (veridical (V) condition) or in a different shifted (e.g., small vs large shifts) position (perturbed (P) condition) prior to movement. Tactile feedback was modulated in blocks by placing or removing the physical start cue on the table (tactile (T), and no-tactile (NT) conditions, respectively). Behaviorally, errors in initial movement direction were larger when the physical start cue was absent. Slightly larger directional errors were found in the P condition compared to the V condition for some movement directions. Both effects were consistent with the idea that erroneous or reduced information about initial hand location led to movement direction-dependent reach planning errors. Neural correlates of these behavioral effects were probed using population decoding techniques. For small shifts in the visual position of the arm, no differences in decoding accuracy between the T and NT conditions were observed in either M1 or PMd. However, for larger visual shifts, decoding accuracy decreased in the NT condition, but only in PMd. Thus, activity in PMd, but not M1, may reflect the uncertainty in reach planning that results when sensory cues regarding initial hand position are erroneous or absent.
ContributorsPhataraphruk, Preyaporn Kris (Author) / Buneo, Christopher A (Thesis advisor) / Zhou, Yi (Committee member) / Helms Tillery, Steve (Committee member) / Greger, Bradley (Committee member) / Santello, Marco (Committee member) / Arizona State University (Publisher)
Created2023
Description
Safety and efficacy of neuromodulation are influenced by abiotic factors like failure of implants, biotic factors like tissue damage, and molecular and cellular mechanisms of neuromodulation. Accelerated lifetime test (ALT) predict lifetime of implants by accelerating failure modes in controlled bench-top conditions. Current ALT models do not capture failure modes involving biological mechanisms. First part of this dissertation is focused on developing ALTs for predicting failure of chronically implanted tungsten stimulation electrodes. Three factors used in ALT are temperature, H2O2 concentration, and amount of charge delivered through electrode to develop a predictive model of lifetime for stimulation electrodes. Second part of this dissertation is focused on developing a novel method for evaluating tissue response to implants and electrical stimulation. Current methods to evaluate tissue damage in the brain require invasive and terminal procedures that have poor clinical translation. I report a novel non-invasive method that sampled peripheral blood monocytes (PBMCs) and used enzyme-linked immunoassay (ELISA) to assess level of glial fibrillary acidic protein (GFAP) expression and fluorescence-activated cell sorting (FACS) to quantify number of GFAP expressing PBMCs. Using this method, I was able to detect and quantify GFAP expression in PBMCs. However, there was no statistically significant difference in GFAP expression between stimulatory and non-stimulatory implants. Final part of this dissertation assessed molecular and cellular mechanisms of non-invasive ultrasound neuromodulation approach. Unlike electrical stimulation, cellular mechanisms of ultrasound-based neuromodulation are not fully known. Final part of this dissertation assessed role of mechanosensitive ion channels and neuronal nitric oxide production in cell cultures under ultrasound excitation. I used fluorescent imaging to quantify expression of nitric oxide in neuronal cell cultures in response to ultrasound stimulation. Results from these experiments indicate that neuronal nitric oxide production increased in response to ultrasound stimulation compared to control and decreased when mechanosensitive ion channels were suppressed. Two novel methods developed in this dissertation enable assessment of lifetime and safety of neuromodulation techniques that use electrical stimulation through implants. The final part of this dissertation concludes that non-invasive ultrasound neuromodulation may be mediated through neuronal nitric oxide even in absence of activation of mechanosensitive ion channels.
ContributorsVoziyanov, Vladislav (Author) / Muthuswamy, Jitendran (Thesis advisor) / Smith, Barbara (Committee member) / Greger, Bradley (Committee member) / Abbas, James (Committee member) / Okandan, Murat (Committee member) / Arizona State University (Publisher)
Created2022
Description
Information processing in the brain is mediated by network interactions between anatomically distant (centimeters apart) regions of cortex and network action is fundamental to human behavior. Disruptive activity of these networks may allow a variety of diseases to develop. Degradation or loss of network function in the brain can affect many aspects of the human experience; motor disorder, language difficulties, memory loss, mood swings, and more. The cortico-basal ganglia loop is a system of networks in the brain between the cortex, basal ganglia, the thalamus, and back to the cortex. It is not one singular circuit, but rather a series of parallel circuits that are relevant towards motor output, motor planning, and motivation and reward. Studying the relationship between basal ganglia neurons and cortical local field potentials may lead to insights about neurodegenerative diseases and how these diseases change the cortico-basal ganglia circuit. Speech and language are uniquely human and require the coactivation of several brain regions. The various aspects of language are spread over the temporal lobe and parts of the occipital, parietal, and frontal lobe. However, the core network for speech production involves collaboration between phonologic retrieval (encoding ideas into syllabic representations) from Wernicke’s area, and phonemic encoding (translating syllables into motor articulations) from Broca’s area. Studying the coactivation of these brain regions during a repetitive speech production task may lead to a greater understanding of their electrophysiological functional connectivity. The primary purpose of the work presented in this document is to validate the use of subdural microelectrodes in electrophysiological functional connectivity research as these devices best match the spatial and temporal scales of brain activity. Neuron populations in the cortex are organized into functional units called cortical columns. These cortical columns operate on the sub-millisecond temporal and millimeter spatial scale. The study of brain networks, both in healthy and unwell individuals, may reveal new methodologies of treatment or management for disease and injury, as well as contribute to our scientific understanding of how the brain works.
ContributorsO'Neill, Kevin John (Author) / Greger, Bradley (Thesis advisor) / Santello, Marco (Committee member) / Helms Tillery, Stephen (Committee member) / Papandreou-Suppapola, Antonia (Committee member) / Kleim, Jeffery (Committee member) / Arizona State University (Publisher)
Created2021
Description
Epilepsy is a group of disorders that cause seizures in approximately 2.2 million people in the United States. Over 30% of these patients have epilepsies that do not respond to treatment with anti-epileptic drugs. For this population, focal resection surgery could offer long-term seizure freedom. Surgery candidates undergo a myriad of tests and monitoring to determine where and when seizures occur. The “gold standard” method for focus identification involves the placement of electrocorticography (ECoG) grids in the sub-dural space, followed by continual monitoring and visual inspection of the patient’s cortical activity. This process, however, is highly subjective and uses dated technology. Multiple studies were performed to investigate how the evaluation process could benefit from an algorithmic adjust using current ECoG technology, and how the use of new microECoG technology could further improve the process.
Computational algorithms can quickly and objectively find signal characteristics that may not be detectable with visual inspection, but many assume the data are stationary and/or linear, which biological data are not. An empirical mode decomposition (EMD) based algorithm was developed to detect potential seizures and tested on data collected from eight patients undergoing monitoring for focal resection surgery. EMD does not require linearity or stationarity and is data driven. The results suggest that a biological data driven algorithm could serve as a useful tool to objectively identify changes in cortical activity associated with seizures.
Next, the use of microECoG technology was investigated. Though both ECoG and microECoG grids are composed of electrodes resting on the surface of the cortex, changing the diameter of the electrodes creates non-trivial changes in the physics of the electrode-tissue interface that need to be accounted for. Experimenting with different recording configurations showed that proper grounding, referencing, and amplification are critical to obtain high quality neural signals from microECoG grids.
Finally, the relationship between data collected from the cortical surface with micro and macro electrodes was studied. Simultaneous recordings of the two electrode types showed differences in power spectra that suggest the inclusion of activity, possibly from deep structures, by macroelectrodes that is not accessible by microelectrodes.
Computational algorithms can quickly and objectively find signal characteristics that may not be detectable with visual inspection, but many assume the data are stationary and/or linear, which biological data are not. An empirical mode decomposition (EMD) based algorithm was developed to detect potential seizures and tested on data collected from eight patients undergoing monitoring for focal resection surgery. EMD does not require linearity or stationarity and is data driven. The results suggest that a biological data driven algorithm could serve as a useful tool to objectively identify changes in cortical activity associated with seizures.
Next, the use of microECoG technology was investigated. Though both ECoG and microECoG grids are composed of electrodes resting on the surface of the cortex, changing the diameter of the electrodes creates non-trivial changes in the physics of the electrode-tissue interface that need to be accounted for. Experimenting with different recording configurations showed that proper grounding, referencing, and amplification are critical to obtain high quality neural signals from microECoG grids.
Finally, the relationship between data collected from the cortical surface with micro and macro electrodes was studied. Simultaneous recordings of the two electrode types showed differences in power spectra that suggest the inclusion of activity, possibly from deep structures, by macroelectrodes that is not accessible by microelectrodes.
ContributorsAshmont, Kari Rich (Author) / Greger, Bradley (Thesis advisor) / Helms Tillery, Stephen (Committee member) / Buneo, Christopher (Committee member) / Adelson, P David (Committee member) / Dudek, F Edward (Committee member) / Arizona State University (Publisher)
Created2015
Description
Given the continued increase in obesity rates in the United States, there has been growing research regarding factors related to obesity. Researchers have examined biological factors, such as set point theory, as well as various psychological factors such as motivation, self-efficacy, and eating styles. Taster-type, defined as how an individual experiences the perception of taste (particularly bitterness), is a recent area of research that has explored the potential relationship between this phenomenon and obesity. The current study examined whether taster-type impacted weight loss, along with secondary measures of BMI, waist circumference, and food neophobia, as well as taster-type’s impact on these measures over time. This study also examined the potential role of taster-type as a predictor of weight loss, independent of the psychological variables of motivation, self-efficacy, and eating styles. Ninety adult participants, consisting of 64 females and 19 males were recruited for this study. They were asked to diet for four weeks; 60 finished the full four weeks and completed psychosocial measures over two time periods. They were asked to record their food using an online food journal, attend weekly meetings for weigh-ins, and were given psychoeducational materials regarding factors affecting weight loss. The results indicated that taster-type was not a significant factor in BMI or waist circumference, but taster-type did interact with time to reveal that supertasters consistently lost weight across the four week dieting period while nontasters leveled off after Week 2. Additionally, both groups increased in food neophobia from the start of the dieting period to the end of Week 4. Consistent with previous research, motivation and self-efficacy predicted weight loss; however, taster-type did not increase the prediction of weight loss across the dieting period. This effect only occurred at Week 2. By Week 4, no psychosocial variables were significant predictors of weight loss.
ContributorsWagner, Melissa C (Author) / Robinson-Kurpius, Sharon (Thesis advisor) / Capaldi Phillips, Elizabeth (Committee member) / Homer, Judith (Committee member) / Arizona State University (Publisher)
Created2016
Description
Positive psychology focuses on the promotion of well-being (Seligman, & Csikszentmihalyi, 2000). Positive psychology interventions (PPIs) have been developed to help facilitate the development of skills needed to flourish and current research suggests that PPIs can help individuals improve their happiness, reduce stress, and become more resilient (Lyubomirsky, King, & Diener, 2005). National surveys highlight that students in higher education are in dire need of interventions aimed at helping them cope with the negative impact of stress (Douce & Keeling, 2014; Marks & Wade, 2015). Research among the graduate student population is scant even though they report high levels of stress and work even more hours than undergraduate students (Wyatt & Oswalt, 2013). PPIs implemented in the graduate student population focus heavily on psychologically-based programs, like psychology and social work, whose students may already be receiving assistance in self-care (Botta, Cadet, & Maramaldi, 2015; Burkhart, 2014; Nelson, Dell'Oliver, Koch, & Buckler, 2001). Thus, this current study is a randomized controlled trial testing an online PPI, adapted from Achor's work in the business industry (2012, 2014), compared with an online informative stress group and a wait list control group among graduate students from various disciplines at a large, public university in the Southwest. Participants were administered pre-, post-, and three-month follow-up tests to determine the impact of the interventions on their levels of perceived stress, happiness, and resilience. A multivariate analysis of covariance (MANCOVA) was used with covariates of age, gender, race, program of study, and graduate level of study (masters versus doctoral). The main findings of the study included: the students in the PPI group reported significantly higher resilience at the end of the three weeks than did the students in the informative stress or wait list control groups, even though measures of happiness or perceived stress were not impacted; and students from psychologically based programs received the most benefit from treatment, especially from the PPI intervention. All findings, implications, and suggestions for future directions are discussed.
ContributorsVenieris, Pauline (Author) / Kinnier, Richard (Thesis advisor) / Rund, James (Committee member) / Homer, Judith (Committee member) / Arizona State University (Publisher)
Created2017