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Machine Learning Classification Of Traumatic Brain Injury Patients Versus Healthy Controls Using Arterial Spin Labeled Perfusion Mri, Vanessa I. Grass
Machine Learning Classification Of Traumatic Brain Injury Patients Versus Healthy Controls Using Arterial Spin Labeled Perfusion Mri, Vanessa I. Grass
Dissertations, Theses, and Capstone Projects
Traumatic brain injury (TBI) is one of the most common causes of death and disability worldwide, yet accurate in vivo detection of TBI neuropathology remains challenging due to complexities in the structural and functional changes observed post-injury as well as limitations in conventional neuroimaging modalities. Although advanced neuroimaging techniques such as arterial spin labeling (ASL) can noninvasively assess cerebral blood flow (CBF) changes observed post-injury, this technique is underutilized in TBI research partly due to the low signal-to-noise-ratio (SNR) inherent in ASL imaging. The aim of the current study is to examine the use of machine learning, specifically a Support …
Criterion Validity Of The Ohio State University Traumatic Brain Injury Identification Method In A Criminal Justice Sample, Sarah M. Monaghan
Criterion Validity Of The Ohio State University Traumatic Brain Injury Identification Method In A Criminal Justice Sample, Sarah M. Monaghan
Student Theses
The purpose of the current study was to determine the clinical utility of the Ohio State University Traumatic Brain Injury Identification Method (OSU-TBI-ID) in a criminal justice sample, by evaluating the criterion-related validity of this instrument. It was hypothesized that this tool could differentiate between incarcerated individuals with or without a history of Traumatic Brain Injury (TBI) on measures evaluating important TBI-related sequalae. The sample consisted of 95 incarcerated men detained at a private correctional facility in a Mid-Atlantic state. Measures used in this study to evaluate executive functioning difficulties, psychiatric difficulties, substance use problems, institutional misconduct and recidivism were …
Relationship Between Global Cognition And Cardiovascular Risk Factors, Alexia Sebghati
Relationship Between Global Cognition And Cardiovascular Risk Factors, Alexia Sebghati
Health, Human Performance and Recreation Undergraduate Honors Theses
Alzheimer’s disease (AD) is currently affecting the lives of 5.8 million Americans and is expected to double within the next 30 years. With an aging populace of baby boomers, this will place great economic strain on the U.S. creating a burden of almost $1 trillion in healthcare costs. Currently, there is no cure for AD. However, studies report that many individuals with AD experience changes in the brain up to 10-15 years before the disease’s onset. It is imperative to detect future risk of developing AD or mild cognitive impairment (MCI) before significant cognitive changes arise. Many of the risk …