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Fast And Robust Hybrid Framework For Infant Brain Classification From Structural Mri : A Case Study For Early Diagnosis Of Autism., Amir Alansary
Fast And Robust Hybrid Framework For Infant Brain Classification From Structural Mri : A Case Study For Early Diagnosis Of Autism., Amir Alansary
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The ultimate goal of this work is to develop a computer-aided diagnosis (CAD) system for early autism diagnosis from infant structural magnetic resonance imaging (MRI). The vital step to achieve this goal is to get accurate segmentation of the different brain structures: whitematter, graymatter, and cerebrospinal fluid, which will be the main focus of this thesis. The proposed brain classification approach consists of two major steps. First, the brain is extracted based on the integration of a stochastic model that serves to learn the visual appearance of the brain texture, and a geometric model that preserves the brain geometry during …
Development Of Novel Methods For Analysis Of Autonomic Balance And Gamma Coherence In Autism., Marie Katherine Hensley
Development Of Novel Methods For Analysis Of Autonomic Balance And Gamma Coherence In Autism., Marie Katherine Hensley
Electronic Theses and Dissertations
INTRODUCTION: Autism spectrum disorder (ASD) is a developmental disorder that is characterized by difficulty in social interactions, limited range of interests, and repetitive behaviors. ASD has been shown to negatively affect both ambient vision and the autonomic nervous system (ANS). The objectives of this thesis were to determine the efficacy of two novel therapies, visuo-motor training with ambient prism lenses and repetitive transcranial magnetic stimulation (rTMS), on autonomic balance and EEG gamma coherence. Heart rate variability (HRV) and skin conductance level (SCL) were used as indicators of autonomic function. HRV is an excellent indicator of autonomic balance because it has …