5 resultados para Fermi-density-distribution function with two parameters

em DigitalCommons@The Texas Medical Center


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Several studies have shown that children with spina bifida meningomyelocele (SBM) and hydrocephalus have attention problems on parent ratings and difficulties in stimulus orienting associated with a posterior brain attention system. Less is known about response control and inhibition associated with an anterior brain attention system. Using the Gordon Vigilance Task (Gordon, 1983), we studied error rate, reaction time, and performance over time for sustained attention, a key anterior attention function, in 101 children with SBM, 17 with aqueductal stenosis (AS; another condition involving congenital hydrocephalus), and 40 typically developing controls (NC). In SBM, we investigated the relation between cognitive attention and parent ratings of inattention and hyperactivity and explored the impact of medical variables. Children with SBM did not differ from AS or NC groups on measures of sustained attention, but they committed more errors and responded more slowly. Approximately one-third of the SBM group had attention symptoms, although parent attention ratings were not associated with task performance. Hydrocephalus does not account for the attention profile of children with SBM, which also reflects the distinctive brain dysmorphologies associated with this condition.

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This study investigates a theoretical model where a longitudinal process, that is a stationary Markov-Chain, and a Weibull survival process share a bivariate random effect. Furthermore, a Quality-of-Life adjusted survival is calculated as the weighted sum of survival time. Theoretical values of population mean adjusted survival of the described model are computed numerically. The parameters of the bivariate random effect do significantly affect theoretical values of population mean. Maximum-Likelihood and Bayesian methods are applied on simulated data to estimate the model parameters. Based on the parameter estimates, predicated population mean adjusted survival can then be calculated numerically and compared with the theoretical values. Bayesian method and Maximum-Likelihood method provide parameter estimations and population mean prediction with comparable accuracy; however Bayesian method suffers from poor convergence due to autocorrelation and inter-variable correlation. ^

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High Angular Resolution Diffusion Imaging (HARDI) techniques, including Diffusion Spectrum Imaging (DSI), have been proposed to resolve crossing and other complex fiber architecture in the human brain white matter. In these methods, directional information of diffusion is inferred from the peaks in the orientation distribution function (ODF). Extensive studies using histology on macaque brain, cat cerebellum, rat hippocampus and optic tracts, and bovine tongue are qualitatively in agreement with the DSI-derived ODFs and tractography. However, there are only two studies in the literature which validated the DSI results using physical phantoms and both these studies were not performed on a clinical MRI scanner. Also, the limited studies which optimized DSI in a clinical setting, did not involve a comparison against physical phantoms. Finally, there is lack of consensus on the necessary pre- and post-processing steps in DSI; and ground truth diffusion fiber phantoms are not yet standardized. Therefore, the aims of this dissertation were to design and construct novel diffusion phantoms, employ post-processing techniques in order to systematically validate and optimize (DSI)-derived fiber ODFs in the crossing regions on a clinical 3T MR scanner, and develop user-friendly software for DSI data reconstruction and analysis. Phantoms with a fixed crossing fiber configuration of two crossing fibers at 90° and 45° respectively along with a phantom with three crossing fibers at 60°, using novel hollow plastic capillaries and novel placeholders, were constructed. T2-weighted MRI results on these phantoms demonstrated high SNR, homogeneous signal, and absence of air bubbles. Also, a technique to deconvolve the response function of an individual peak from the overall ODF was implemented, in addition to other DSI post-processing steps. This technique greatly improved the angular resolution of the otherwise unresolvable peaks in a crossing fiber ODF. The effects of DSI acquisition parameters and SNR on the resultant angular accuracy of DSI on the clinical scanner were studied and quantified using the developed phantoms. With a high angular direction sampling and reasonable levels of SNR, quantification of a crossing region in the 90°, 45° and 60° phantoms resulted in a successful detection of angular information with mean ± SD of 86.93°±2.65°, 44.61°±1.6° and 60.03°±2.21° respectively, while simultaneously enhancing the ODFs in regions containing single fibers. For the applicability of these validated methodologies in DSI, improvement in ODFs and fiber tracking from known crossing fiber regions in normal human subjects were demonstrated; and an in-house software package in MATLAB which streamlines the data reconstruction and post-processing for DSI, with easy to use graphical user interface was developed. In conclusion, the phantoms developed in this dissertation offer a means of providing ground truth for validation of reconstruction and tractography algorithms of various diffusion models (including DSI). Also, the deconvolution methodology (when applied as an additional DSI post-processing step) significantly improved the angular accuracy of the ODFs obtained from DSI, and should be applicable to ODFs obtained from the other high angular resolution diffusion imaging techniques.

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Cardiovascular disease (CVD) is the leading cause of death in the United States. One manifestation of CVD known to increase mortality is an enlarged, or hypertrophic heart. Hypertrophic cardiomyocytes adapt to increased contractile demand at the genetic level with a re-emergence of the fetal gene program and a downregulation of fatty acid oxidation genes with concomitant increased reliance on glucose-based metabolism. To understand the transcriptional regulatory pathways that implement hypertrophic directives we analyzed the upstream promoter region of the muscle specific isoform of the nuclear-encoded mitochondrial gene, carnitine palmitoyltransferase-1β (CPT-1β) in cultured rat neonatal cardiac myocytes. This enzyme catalyzes the rate-limiting step of fatty acid entry into β-oxidation and is downregulated in cardiac hypertrophy and failure, making it an attractive model for the study of hypertrophic gene regulation and metabolic adaptations. We demonstrate that the muscle-enriched transcription factors GATA-4 and SRF synergistically activate CPT-1β; moreover, DNA binding to cognate sites and intact protein structure are required. This mechanism coordinates upregulation of energy generating processes with activation of the energy consuming contractile promoter for cardiac α-actin. We hypothesized that fatty acid or glucose responsive transcription factors may also regulate CPT-1β. Oleate weakly stimulates CPT-1β activity; in contrast, the glucose responsive Upstream Stimulatory Factors (USF) dramatically depresses the CPT-1β reporter. USF regulates CPT-1β through a novel physical interaction with the cofactor PGC-1 and abrogation of MEF2A/PGC-1 synergistic stimulation. In this way, USF can inversely regulate metabolic gene programs and may play a role in the shift of metabolic substrate preference seen in hypertrophy. Failing hearts have elevated expression of the nuclear hormone receptor COUP-TF. We report that COUP-TF significantly suppresses reporter transcription independent of DNA binding and specific interactions with GATA-4, Nkx2.5 or USF. In summary, CPT-1β transcriptional regulation integrates mitochondrial gene expression with two essential cardiac functions: contraction and metabolic substrate oxidation. ^