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- 2Decision-making
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- 1Ghoreishiamiri, Seyedehreyhaneh
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Addressing the Challenges of Applying Machine Learning for Predicting Mental Disorders and Their Prognosis Using Two Case Studies
DownloadSpring 2019
Ghoreishiamiri, Seyedehreyhaneh
One of the principal applications of machine learning in psychiatry is to build automated tools that can help clinicians predict the diagnosis and prognosis of mental disorders using available data from patients’ profiles. Here, in two different studies, we investigate ways to use machine learn-...
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Behavioural and Neuroimaging Investigation of Two Stages of Metaphor Comprehension Using the Metaphor Interference Effect in Individuals with Autism Spectrum Disorder
DownloadFall 2016
Background Individuals with autism spectrum disorder (ASD) are reported to have difficulty understanding figurative language, such as metaphors, but emerging evidence suggests that such problems are associated with structural language impairments and not an ASD diagnosis. However, even when...
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Characterizing the pathophysiological mechanisms of early disease in amyotrophic lateral sclerosis using multimodal neuroimaging
DownloadSpring 2024
Amyotrophic lateral sclerosis (ALS) is a, neurodegenerative disorder which is characterized by progressive impairment of the upper motor neurons in the brain and lower motor neurons in the brainstem and spinal cord. The disease is ultimately fatal with death eventually resulting from aspiration...
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Fall 2013
Cognitive deficits affect approximately 50% of multiple sclerosis (MS) patients and are associated with disease-related neurodegeneration. Prior MS-studies found decision making impairments uncorrelated with patients’ cognitive functions. Brain correlates of decision making in MS have not been...
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Spring 2016
Computer aided diagnosis of mental disorders like Attention Deficit Hyperactivity Disorder (ADHD) and Autism is a primary step towards automated detection and prognosis of these psychiatric diseases. This dissertation applies analyses based on learning models that use structural texture and...
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Fall 2011
Risk factors for postpartum depression (PPD) include history of a major depressive episode, premenstrual dysphoric disorder, or a prior episode of PPD. Fluctuations in estrogen, progesterone, and neuroactive steroids occur in the postpartum, and these molecules act as modulators of a number of...
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Spring 2017
Neurocysticercosis, the major global cause of acquired epilepsy, is a parasitic disease caused by Taenia solium larvae. Patients may have seizures whether larvae in brain are alive or degenerated (calcified). We assessed whether parasitic lesions produce changes in structural brain scans that are...
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Putative ante-mortem indicators of Alzheimer’s dementia: Analysis of fluid biomarker and neuroimaging studies
DownloadSpring 2019
Dementia is a clinical state, characterized by symptoms indicative of deterioration of memoryand cognitive functions that interferes with social or occupational functioning. According to2018 statistics, around 50 million people are living with dementia, and this number will increaseto 131.5...
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Fall 2018
Gaussian processes are flexible probabilistic models for regression and classification. However, their success hinges on a well-specified kernel that can capture the structure of data. For complex data, the task of hand crafting a kernel becomes daunting. In this thesis, we propose new methods...
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STRUCTURAL AND METABOLIC MRI TO CHARACTERIZE THE RESPONSE TO SURGERY IN TRIGEMINAL NEURALGIA
DownloadSpring 2023
Trigeminal Neuralgia (TN) is a chronic, neuropathic, facial pain condition characterized by severe unilateral pain attacks, electric shock-like or shooting in character, confined to regions of the face innervated by the trigeminal nerve (the fifth cranial nerve, CNV). TN is commonly associated...