Open Access. Powered by Scholars. Published by Universities.®

Life Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Life Sciences

Using A Mouse Model To Investigate Male Bias In Autism Spectrum Disorder Incidence., Elizabeth Ann Gordon Dec 2016

Using A Mouse Model To Investigate Male Bias In Autism Spectrum Disorder Incidence., Elizabeth Ann Gordon

Electronic Theses and Dissertations

The review (Chapter 1) overviews our current understanding of the sex bias in autism spectrum disorders (ASD), whereby males are 4 times more likely to develop the condition. The longstanding uncertainty surrounding the etiology of autism can be informed by inclusion of both sexes in future research to better understand the mechanism responsible for this sex bias. Both clinical studies and animal models are useful tools to elucidate the underlying cause(s) of sexual dimorphic morphological, physiological, and behavioral differences in the ASD phenotype. Sex differences in social behaviors are common across species, underscoring the importance of assessing baseline sex differences …


A Semi-Automated Algorithm For Segmenting The Hippocampus In Patient And Control Populations, Nathan Mckay Muncy Jun 2016

A Semi-Automated Algorithm For Segmenting The Hippocampus In Patient And Control Populations, Nathan Mckay Muncy

Theses and Dissertations

Calculating hippocampal volume from Magnetic Resonance (MR) images is an essential task in many studies of neurocognition in healthy and diseased populations. The `gold standard' method involves hand tracing, which is accurate but laborious, requiring expertly trained researchers and significant amounts of time. As such, segmenting large datasets with the standard method is impractical. Current automated pipelines are inaccurate at hippocampal demarcation and volumetry. We developed a semi-automated hippocampal segmentation pipeline based on the Advanced Normalization Tools (ANTs) suite of programs to segment the hippocampus. We applied the semi-automated segmentation pipeline to 70 participant scans (26 female) from groups that …