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Modeling And Analysis Of Systems Using The Least Action Principle In Information Theory, Serkan Guldal
Modeling And Analysis Of Systems Using The Least Action Principle In Information Theory, Serkan Guldal
All ETDs from UAB
The Least Action Principle (LAP) is widely applied to search for solutions to problems of classical mechanics. It claims that if an infinitesimal change does not affect the action of a system, that action would be the least action. In classical mechanics, if a particle moves from point A to point B, it will search for the path that requires the least energy consumption. Modeling physical phenomena utilizing LAP helps to predict an equation of motion and this principle is applicable for all known systems. In this dissertation, we use the maximum independent set from graph theory as a guiding …
Neural Network Associated With The Psychobiological Response To Stress, Muriah Wheelock
Neural Network Associated With The Psychobiological Response To Stress, Muriah Wheelock
All ETDs from UAB
The biobehavioral response to acute stress is an allostatic process. Dysregulation of the stress response has been implicated in allostatic load and the pathophysiology of a wide range of physical and psychological disorders. There have been considerable advances within the last two decades in the field’s understanding of allostatic load and a consistent finding across studies has been that individual differences are the norm rather than the exception. That is, exposure to stress seems to have minimal negative consequences for some, but substantial negative consequences for others. Determining the neural processes associated with individual differences in stress reactivity may advance …
Imaging Biomarkers For Prediction Of Treatment Response In Schizophrenia, Jennifer Ann Hadley
Imaging Biomarkers For Prediction Of Treatment Response In Schizophrenia, Jennifer Ann Hadley
All ETDs from UAB
Schizophrenia affects approximately 1% of the population and is one of the top five causes of disability worldwide. Patient response to any particular drug is variable and currently unpredictable. Our overall goal is to identify imaging biomarkers that will distinguish patients with schizophrenia who will respond to an antipsychotic drug from those who will not. When considering potential biomarkers, it is important to note that schizophrenia is known to involve altered neuronal connections, thought to reflect pathologically relevant changes associated with the disease. We propose to utilize functional connectivity as a biomarker for treatment response to antipsychotic drugs in schizophrenia. …