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As life expectancy increases worldwide, age related diseases are becoming greater health concerns. One of the most prevalent age-related diseases in the United States is dementia, with Alzheimer’s disease (AD) being the most common form, accounting for 60-80% of cases. Genetics plays a large role in a person’s risk of developing AD. Familial AD, which makes up less than 1% of all AD cases, is caused by autosomal dominant gene mutations and has almost 100% penetrance. Genetic risk factors are believed to make up about 49%-79% of the risk in sporadic cases. Many different genetic risk factors for both familial and sporadic AD have been identified, but there is still much work to be done in the field of AD, especially in non-Caucasian populations. This review summarizes the three major genes responsible for familial AD, namely APP, PSEN1 and PSEN2. Also discussed are seven identified genetic risk factors for sporadic AD, single nucleotide polymorphisms in the APOE, ABCA7, NEDD9, CASS4, PTK2B, CLU, and PICALM genes. An overview of the main function of the proteins associated with the genes is given, along with the supposed connection to AD pathology.
ContributorsRichey, Alexandra Emmeline (Author) / Brafman, David (Thesis director) / Raman, Sreedevi (Committee member) / School of International Letters and Cultures (Contributor) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Previous research has showed that auditory modulation may be affected by pure tone
stimuli played prior to the onset of speech production. In this experiment, we are examining the
specificity of the auditory stimulus by implementing congruent and incongruent speech sounds in
addition to non-speech sound. Electroencephalography (EEG) data was recorded for eleven adult
subjects in both speaking (speech planning) and silent reading (no speech planning) conditions.
Data analysis was accomplished manually as well as via generation of a MATLAB code to
combine data sets and calculate auditory modulation (suppression). Results of the P200
modulation showed that modulation was larger for incongruent stimuli than congruent stimuli.
However, this was not the case for the N100 modulation. The data for pure tone could not be
analyzed because the intensity of this stimulus was substantially lower than that of the speech
stimuli. Overall, the results indicated that the P200 component plays a significant role in
processing stimuli and determining the relevance of stimuli; this result is consistent with role of
P200 component in high-level analysis of speech and perceptual processing. This experiment is
ongoing, and we hope to obtain data from more subjects to support the current findings.
stimuli played prior to the onset of speech production. In this experiment, we are examining the
specificity of the auditory stimulus by implementing congruent and incongruent speech sounds in
addition to non-speech sound. Electroencephalography (EEG) data was recorded for eleven adult
subjects in both speaking (speech planning) and silent reading (no speech planning) conditions.
Data analysis was accomplished manually as well as via generation of a MATLAB code to
combine data sets and calculate auditory modulation (suppression). Results of the P200
modulation showed that modulation was larger for incongruent stimuli than congruent stimuli.
However, this was not the case for the N100 modulation. The data for pure tone could not be
analyzed because the intensity of this stimulus was substantially lower than that of the speech
stimuli. Overall, the results indicated that the P200 component plays a significant role in
processing stimuli and determining the relevance of stimuli; this result is consistent with role of
P200 component in high-level analysis of speech and perceptual processing. This experiment is
ongoing, and we hope to obtain data from more subjects to support the current findings.
ContributorsTaylor, Megan Kathleen (Author) / Daliri, Ayoub (Thesis director) / Liss, Julie (Committee member) / School of Life Sciences (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
There are currently no disease-modifying treatments to halt or attenuate the progression of Alzheimer’s disease (AD). Transgenic rodent models have provided researchers the ability to recapitulate particular pathological and symptomological events in disease progression. Complete reproduction of all features of AD in a rodent model has not been achieved, potentially lending to the inconclusive treatment results at the clinical level. Recently, the TgF344-AD transgenic rat model has started to be evaluated; however, it has not been well characterized in terms of its cognition, which is fundamental to understanding the trajectory of aging relative to pathology and learning and memory changes. Therefore, the aim of the current study was to identify cognitive outcomes at 6, 9, and 12 months of age in the TgF344-AD rat model. Sixty female transgenic (Tg) and wildtype (WT) rats were tested on the water radial arm maze, Morris water maze, and visible platform task to evaluate cognition. Results from the asymptotic phase of the water radial arm maze showed that the 6 mo-Tg animals had marginally impaired working memory compared to 6 mo-WT rats, and 12 mo-Tg rats had significantly impaired working memory compared to 12 mo-WT rats. The 9 mo-Tg animals did not demonstrate a significant difference in working memory errors compared to the 9 mo-WT animals. This pattern of impairment, wherein Tg animals made more working memory errors compared to WT animals at the 6 and 12 month time points, but not at the 9 month time point, may be indicative of an inflammatory response that proves helpful at incipient stages of disease progression but eventually leads to further cognitive impairment. These results provide insight into the potential earliest time point that prodromal cognitive symptoms of AD exist, and how they progress with aging. Brain tissue was collected at sacrifice for future analyses of pathology, which will be used to glean insight into the temporal progression of pathological and cognitive outcomes.
ContributorsBulen, Haidyn Leigh (Co-author) / Bulen, Haidyn (Co-author) / Bimonte-Nelson, Heather (Thesis director) / Presson, Clark (Committee member) / Conrad, Cheryl (Committee member) / Woner, Victoria (Committee member) / Peña, Veronica (Committee member) / School of International Letters and Cultures (Contributor) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Architecture has an ability to shape us and focus on forms and efficiency yet frequently ignores relationships between the form and cognition. This negligence creates lost opportunities for creating a link between action and perception, embodiment and aesthetics, imagination and empathy. Architecture is frequently not empathetic, lacking meaning to far too many people. Considering the application of neuroscience in architecture to nurture psychological and physiological response to architecture may be key to fostering healthy and positive relationships with space. Another connection that comes up in neuro-scientific research is how creativity plays into design and the understanding of design. Often, creativity is accompanied by metaphor, and neuroscientist Ramachandran is particularly interested in this. A curious phenomenon he has focused on is synaesthesia, Synaesthesia is a Greek-based word, syn meaning joined and aisthesis meaning sensation. It occurs when "Stimulation of one sensory modality automatically triggers perception in a second modality in the absence of any direct stimulation to this modality." Further, the study and application of synaesthetic properties can help achieve this goal. Through the application of neuro-scientific research directed towards architecture, "Neuroarchitecture" is a possible tool that can create architecture that invokes positive responses in occupants. Through the consideration of building elements, natural forces, equal understanding, and synaesthesia, "neuroarchitecture" can be successful. Thus, with the consideration of neuroscience and synaesthesia there is a possibility of understanding what creates the certain emotions that one experiences in a space, and why people like certain places more than others. In a lecture covering this topic at Arizona State University's Design School, designer Ellen Lupton showed graphic visualizations of musical synaesthesia. Bird calls were translated into exceptionally fluid ribbons of moving color that ebbed and crashed with the rise and fall of the bird call. If these experiences can be expressed through digital art, then there may be a way to express them through architecture. The project takes focus on the architecture of flux, limbo, and threshold, within the specific context of the airport. The airport is a one of a kind architecture. There is little to no other architecture that serves as a threshold from one city, state, and country to another, that is full of people from all parts of the world, and is a space of limbo. In the flux of the airport, the individual feels a multitude of emotions, joys, sadness, frustration, and stresses. Studying circulation, movement of both the inhabitant and the architecture of the airport, the project will rigorously question if architecture can be scientifically formulated to create mental effects or if they are a result of atmospheric qualities.
ContributorsPniak, Nikola (Author) / Rocchi, Elena (Thesis director) / Taylor, Christopher (Committee member) / Hejduk, Renata (Committee member) / The Design School (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
It is unknown which regions of the brain are most or least active for golfers during a peak performance state (Flow State or "The Zone") on the putting green. To address this issue, electroencephalographic (EEG) recordings were taken on 10 elite golfers while they performed a putting drill consisting of hitting nine putts spaced uniformly around a hole each five feet away. Data was collected at three time periods, before, during and after the putt. Galvanic Skin Response (GSR) measurements were also recorded on each subject. Three of the subjects performed a visualization of the same putting drill and their brain waves and GSR were recorded and then compared with their actual performance of the drill. EEG data in the Theta (4 \u2014 7 Hz) bandwidth and Alpha (7 \u2014 13 Hz) bandwidth in 11 different locations across the head were analyzed. Relative power spectrum was used to quantify the data. From the results, it was found that there is a higher magnitude of power in both the theta and alpha bandwidths for a missed putt in comparison to a made putt (p<0.05). It was also found that there is a higher average power in the right hemisphere for made putts. There was not a higher power in the occipital region of the brain nor was there a lower power level in the frontal cortical region during made putts. The hypothesis that there would be a difference between the means of the power level in performance compared to visualization techniques was also supported.
ContributorsCarpenter, Andrea (Co-author) / Hool, Nicholas (Co-author) / Muthuswamy, Jitendran (Thesis director) / Crews, Debbie (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The Population Receptive Field (pRF) model is widely used to predict the location (retinotopy) and size of receptive fields on the visual space. Doing so allows for the creation of a mapping from locations in the visual field to the associated groups of neurons in the cortical region (within the visual cortex of the brain). However, using the pRF model is very time consuming. Past research has focused on the creation of Convolutional Neural Networks (CNN) to mimic the pRF model in a fraction of the time, and they have worked well under highly controlled conditions. However, these models have not been thoroughly tested on real human data. This thesis focused on adapting one of these CNNs to accurately predict the retinotopy of a real human subject using a dataset from the Human Connectome Project. The results show promise towards creating a fully functioning CNN, but they also expose new challenges that must be overcome before the model could be used to predict the retinotopy of new human subjects.
ContributorsBurgard, Braeden (Author) / Wang, Yalin (Thesis director) / Ta, Duyan (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05
Description
The current study investigated emotional language use in middle aged and older adults in interviews in which they were asked questions relating to Alzheimer's disease and related dementias. Participants were split into two groups, one that attended Memory Clinic to have their cognition assessed, representing information seekers, and those who did not attend. These interviews were then transcribed and run through LIWC2015 software to determine linguistic differences between the two groups. Results did not indicate statistically significant differences between language use in those who attended Memory Clinic compared with those who did not. Further study with a sample that has higher levels of anxiety related to Alzheimer's disease and related dementias may produce statistically significant results.
ContributorsKalman, Talya (Author) / Maxfield, Molly (Thesis director) / Updegraff, Kimberly (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / Hugh Downs School of Human Communication (Contributor) / Sanford School of Social and Family Dynamics (Contributor)
Created2022-05
Description
Dementia is a progressive, neurodegenerative disease for which there is no cure at the present time. Patients with dementia and age-related disorders experience neuropsychiatric symptoms such as delusions, hallucinations, and other difficult to handle behaviors (Peipert et al., 2018). Due to the staggering cost of hiring in-home help or placing their loved ones in a memory care facility, many Americans choose to care for their loved one at home. Unfortunately, this undertaking can impact the caregiver’s emotional and mental health, financial situation, and social life (Peipert et al., 2018). Psychosocial interventions, ranging from social support to therapy, have been shown to be incredibly effective in improving dementia caregiver mental health. One such psychosocial intervention is Cognitive-Behavioral Therapy. Cognitive-Behavioral Therapy (CBT) helps the individual adapt more effective thinking patterns in order to improve their coping skills (Kwon et al., 2017). CBT combines cognitive theory and behavioral theory to explain how our thoughts and feelings directly impact the severity of a situation. In cognitive theory, it is our interpretation of the events that happen to us that is the root of our emotions, not the events themselves. The relationship between our interpretation and our emotions is known as the ABC model (Sorocco & Lauderdale, 2011). In this paper, several relevant studies researching the impacts of CBT on family dementia caregiver stress and burden are assessed and reviewed. A comprehensive, tentative CBT plan for family dementia caregivers is included and proposed.
ContributorsVan Duine, Kelly Nicole (Author) / Infurna, Frank (Thesis director) / Baker, Zach (Committee member) / Barrett, The Honors College (Contributor) / School of Social and Behavioral Sciences (Contributor) / School of International Letters and Cultures (Contributor)
Created2024-05
Description
This case study explores the intricate relationship between Glioblastoma Multiforme (GBM) and Type II Diabetes Mellitus (T2DM) in a long-term survivor. A 51-year-old male with a medical history of type II diabetes presented with black out episodes. Neuroimaging revealed a large right frontal lesion suggestive of GBM. Following gross total resection, the tumor was identified as IDH-wildtype, MGMT methylated glioblastoma. The patient underwent Stupp protocol chemotherapy with Temozolomide and radiation, followed by adjuvant therapy. Management also included adjustments to diabetic medications. The patient experienced mild abulia and decreased executive function post-chemotherapy but responded well to subsequent treatments, including Avastin. Medication adjustments for diabetes were made based on A1C and glucose levels. Imaging studies revealed changes indicative of treatment response and disease progression. Correlation analyses revealed negative associations between resection cavity and affected brain tissue volume and glucose/A1C levels. The study underscores the importance of exploring the impact of antidiabetic medications on GBM outcomes and highlights the need for further research in this area. Lessons learned include the potential role of metabolic biomarkers in predicting treatment response and disease progression, guiding personalized therapeutic interventions for patients with comorbid GBM and T2DM.
ContributorsHuman, Hannah (Author) / Maley, Carlo (Thesis director) / Swanson, Kristin (Committee member) / Lee Kim, Peter (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / School of International Letters and Cultures (Contributor)
Created2024-05