Functional magnetic resonance imaging (fMRI) as it exists, in its many forms and vari- ants, has revolutionized the fields of neurology and psychology by revealing functional differences non-invasively. Although blood oxygenation level dependent (BOLD) fMRI is used interchangeably with fMRI, it measures one single difference in a phys- iological measurement using a set sequence. As such, there are other established changes in the brain that relate to blood movement and capacity that can also be measured using MRI. One measure, exogenous steady state cerebral blood volume, uses a bolus routine contrast agent administered intravenously alongside a pair of high resolution ‘structural-like’ MRI images to provide detailed information within small cortical and subcortical structures. In this thesis I design a semi-automated algorithm to generate maps of steady state exogenous cerebral blood volume magnetic resonance imaging datasets. To do this I developed an algorithm and tested it on existing MRI scanning protocols. A series of automated pre-processing steps are developed and tested, including automated scan flagging for artifacts and requisite vascular segmentation. Then, a methodology is developed to create cerebral blood volume (CBV) region of interest (ROI) masks that can then be applied on an existing database to test known CBV dysfunction in a group of patients at high risk for psychosis. Finally, we develop an experiment to see if template based cerebral blood alterations co-registered with class segmentation maps have any positive predictive value in determining disease state in a well characterized cohort of five age-matched groups in an Alzheimer’s disease neuroimaging study.

<p>The manifestations of early sleep disturbances on cerebrospinal fluid and their relations with early developmental competencies are understudied. Recent studies highlight cerebrospinal fluid disbursement as a potential factor associated with dysfunctions in brain development. With two studies, we explored sleep and extra-axial cerebrospinal fluid (EA-CSF) connection as a potential mechanistic pathway by which sleep dysregulation influences brain and behavior development. Specifically, we evaluated associations between (1) EA-CSF to total cerebral volume (EA-CSF/TCV) ratios, (2) parent-report of child sleep problems, and (3) social communication development in typical (Study 1) and atypical populations (Study 2). In typical infants, early sleep problems did not precede later elevated EA-CSF/TCV ratios or social-communicative competence. Elevated EA-CSF/TCV ratios were associated with impaired social communication skills, suggesting that a relationship between elevated EA-CSF/TCV ratios and social communication impairments exists regardless of neurological or sleep problems. In an atypical population with autism spectrum disorder (ASD), older children with ASD had similar EA-CSF/TCV ratios to a group of their typically developing peers. Sleep problems were negatively associated with EA-CSF/TCV ratios but positively associated with social-communicative impairments for children with ASD, highlighting the influence of sleep problems on both brain and behavioral outcomes in an atypical population. In both studies, EA-CSF volumes continue to increase during early development in the typically developing populations (but not later in the atypical sample), underlining its relevance as a marker of atypical processing. Recognizing the potential roles of EA-CSF in influencing several biosocial and behavioral aspects of development, we encourage researchers to continue to explore EA-CSF growth, especially during developmental periods of flux and transition. Future work with longitudinal data can also serve to explore sleep-related developmental changes in EA-CSF, in association with behavioral and phenotypic changes. </p>