The Dissociation of Location and Object Working Memory using fMRI and MEG

Visual working memory (VWM) involves maintaining and processing visual information, often for the purpose of making immediate decisions. Neuroimaging experiments of VWM provide evidence in support of a neural system mainly involving a fronto-parietal neuronal network, but the role of specific brain areas is less clear. A proposal that has recently generated considerable debate suggests that a dissociation of object and location VWM occurs within the prefrontal cortex, in dorsal and ventral regions, respectively. However, re-examination of the relevant literature presents a more robust distribution suggestive of a general caudal-rostral dissociation from occipital and parietal structures, caudally, to prefrontal regions, rostrally, corresponding to location and object memory, respectively. The purpose of the present study was to identify a dissociation of location and object VWM across two imaging methods (magnetoencephalography, MEG, and functional magnetic imaging, fMRI). These two techniques provide complimentary results due the high temporal resolution of MEG and the high spatial resolution of fMRI. The use of identical location and object change detection tasks was employed across techniques and reported for the first time. Moreover, this study is the first to use matched stimulus displays across location and object VWM conditions. The results from these two imaging methods provided convergent evidence of a location and object VWM dissociation favoring a general caudal-rostral rather than the more common prefrontal dorsal-ventral view. Moreover, neural activity across techniques was correlated with behavioral performance for the first time and provided convergent results. This novel approach of combining imaging tools to study memory resulted in robust evidence suggesting a novel interpretation of location and object memory. Accordingly, this study presents a novel context within which to explore the neural substrates of WM across imaging techniques and populations.

Detection of nonrandom association of alleles from the distribution of the number of heterozygous loci in a sample.

The distribution of the number of heterozygous loci in two randomly chosen gametes or in a random diploid zygote provides information regarding the nonrandom association of alleles among different genetic loci. Two alternative statistics may be employed for detection of nonrandom association of genes of different loci when observations are made on these distributions: observed variance of the number of heterozygous loci (s2k) and a goodness-of-fit criterion (X2) to contrast the observed distribution with that expected under the hypothesis of random association of genes. It is shown, by simulation, that s2k is statistically more efficient than X2 to detect a given extent of nonrandom association. Asymptotic normality of s2k is justified, and X2 is shown to follow a chi-square (chi 2) distribution with partial loss of degrees of freedom arising because of estimation of parameters from the marginal gene frequency data. Whenever direct evaluations of linkage disequilibrium values are possible, tests based on maximum likelihood estimators of linkage disequilibria require a smaller sample size (number of zygotes or gametes) to detect a given level of nonrandom association in comparison with that required if such tests are conducted on the basis of s2k. Summarization of multilocus genotype (or haplotype) data, into the different number of heterozygous loci classes, thus, amounts to appreciable loss of information.

Dynamics of a minimal model of interlocked positive and negative feedback loops of transcriptional regulation by cAMP-response element binding proteins.

cAMP-response element binding (CREB) proteins are involved in transcriptional regulation in a number of cellular processes (e.g., neural plasticity and circadian rhythms). The CREB family contains activators and repressors that may interact through positive and negative feedback loops. These loops can be generated by auto- and cross-regulation of expression of CREB proteins, via CRE elements in or near their genes. Experiments suggest that such feedback loops may operate in several systems (e.g., Aplysia and rat). To understand the functional implications of such feedback loops, which are interlocked via cross-regulation of transcription, a minimal model with a positive and negative loop was developed and investigated using bifurcation analysis. Bifurcation analysis revealed diverse nonlinear dynamics (e.g., bistability and oscillations). The stability of steady states or oscillations could be changed by time delays in the synthesis of the activator (CREB1) or the repressor (CREB2). Investigation of stochastic fluctuations due to small numbers of molecules of CREB1 and CREB2 revealed a bimodal distribution of CREB molecules in the bistability region. The robustness of the stable HIGH and LOW states of CREB expression to stochastic noise differs, and a critical number of molecules was required to sustain the HIGH state for days or longer. Increasing positive feedback or decreasing negative feedback also increased the lifetime of the HIGH state, and persistence of this state may correlate with long-term memory formation. A critical number of molecules was also required to sustain robust oscillations of CREB expression. If a steady state was near a deterministic Hopf bifurcation point, stochastic resonance could induce oscillations. This comparative analysis of deterministic and stochastic dynamics not only provides insights into the possible dynamics of CREB regulatory motifs, but also demonstrates a framework for understanding other regulatory processes with similar network architecture.

Dynamics of a minimal model of interlocked positive and negative feedback loops of transcriptional regulation by cAMP-response element binding proteins.

cAMP-response element binding (CREB) proteins are involved in transcriptional regulation in a number of cellular processes (e.g., neural plasticity and circadian rhythms). The CREB family contains activators and repressors that may interact through positive and negative feedback loops. These loops can be generated by auto- and cross-regulation of expression of CREB proteins, via CRE elements in or near their genes. Experiments suggest that such feedback loops may operate in several systems (e.g., Aplysia and rat). To understand the functional implications of such feedback loops, which are interlocked via cross-regulation of transcription, a minimal model with a positive and negative loop was developed and investigated using bifurcation analysis. Bifurcation analysis revealed diverse nonlinear dynamics (e.g., bistability and oscillations). The stability of steady states or oscillations could be changed by time delays in the synthesis of the activator (CREB1) or the repressor (CREB2). Investigation of stochastic fluctuations due to small numbers of molecules of CREB1 and CREB2 revealed a bimodal distribution of CREB molecules in the bistability region. The robustness of the stable HIGH and LOW states of CREB expression to stochastic noise differs, and a critical number of molecules was required to sustain the HIGH state for days or longer. Increasing positive feedback or decreasing negative feedback also increased the lifetime of the HIGH state, and persistence of this state may correlate with long-term memory formation. A critical number of molecules was also required to sustain robust oscillations of CREB expression. If a steady state was near a deterministic Hopf bifurcation point, stochastic resonance could induce oscillations. This comparative analysis of deterministic and stochastic dynamics not only provides insights into the possible dynamics of CREB regulatory motifs, but also demonstrates a framework for understanding other regulatory processes with similar network architecture.

Development and testing of a procedure for systematically assigning gestational age for clinical and research use

A graphing method was developed and tested to estimate gestational ages pre-and postnatally in a consistent manner for epidemiological research and clinical purposes on feti/infants of women with few consistent prenatal estimators of gestational age. Each patient's available data was plotted on a single page graph to give a comprehensive overview of that patient. A hierarchical classification of gestational age determination was then applied in a systematic manner, and reasonable gestational age estimates were produced. The method was tested for validity and reliability on 50 women who had known dates for their last menstrual period or dates of conception, and multiple ultrasound examinations and other gestational age estimating measures. The feasibility of the procedure was then tested on 1223 low income women with few gestational age estimators. The graphing method proved to have high inter- and intrarater reliability. It was quick, easy to use, inexpensive, and did not require special equipment. The graphing method estimate of gestational age for each infant was tested against the last menstrual period gestational age estimate using paired t-Tests, F tests and the Kolmogorov-Smirnov test of similar populations, producing a 98 percent probability or better that the means and data populations were the same. Less than 5 percent of the infants' gestational ages were misclassified using the graphing method, much lower than the amount of misclassification produced by ultrasound or neonatal examination estimates. ^

The role of interleukin-6 in the angiogenesis of ovarian carcinoma

The purpose of this study was to characterize the effects of IL-6 on endothelial cells and to investigate the role of IL-6 in the angiogenesis of ovarian carcinomas. We evaluated human ovarian carcinoma clinical specimens and determined that high expression of IL-6 was associated with increased tumor vascularization. Additionally, endothelial cells derived from the ovary and mesentery expressed the IL-6 receptor (IL-6R), and their stimulation with the exogenous ligand activated downstream signaling molecules and enhanced cell migration. Dual immunohistochemical staining for CD-31 and IL-6R revealed IL-6R expression on human endothelial cells within normal ovary and ovarian carcinomas. To further investigate the possible proangiogenic function of IL-6, Gelfoam sponges containing IL-6 or bFGF were implanted into the subcutis of BALB/c mice. IL-6 containing sponges were vascularized to the same extent as bFGF containing sponges. ^ Chronic stress can adversely affect disease progression. Stimulation of ovarian carcinoma cell lines with concentrations of catecholamines achieved in individuals experiencing chronic stress resulted in a substantial increase in IL-6 production. It was determined that stress mediators regulate IL-6 expression through the β-adrenergic receptor and Src. These data illustrate one mechanism by which chronic stress may influence tumor progression. ^ To investigate whether IL-6 contributes to the angiogenesis of ovarian carcinomas, we isolated low IL-6 expressing clones from the SKOV3.ip1 cell line and transfected them with a plasmid encoding the IL-6 gene. We observed no difference in tumor weight between high and low IL-6 expressing cells. However, while low IL-6 expressing tumors were highly vascularized, high IL-6 expressing tumors appeared hypervascularized. Immunohistochemical analysis revealed that all tumors exhibited robust expression of additional proangiogenic molecules. ^ Collectively, these studies indicate that IL-6 secreted by ovarian cancer cells is a highly proangiogenic cytokine. However, IL-6 is but one of several proangiogenic molecules produced by ovarian cancer, and its inhibition may not be sufficient to inhibit angiogenesis of ovarian carcinoma. The findings presented in this dissertation provide insight into the function of IL-6 as a regulator of angiogenesis. Understanding of the role of proangiogenic molecules such as IL-6 in ovarian carcinoma may have important implications for therapy directed at the vascular component of this disease. ^

Selection bias and the cross-validation of regression models for prediction

Strategies are compared for the development of a linear regression model with stochastic (multivariate normal) regressor variables and the subsequent assessment of its predictive ability. Bias and mean squared error of four estimators of predictive performance are evaluated in simulated samples of 32 population correlation matrices. Models including all of the available predictors are compared with those obtained using selected subsets. The subset selection procedures investigated include two stopping rules, C$\sb{\rm p}$ and S$\sb{\rm p}$, each combined with an 'all possible subsets' or 'forward selection' of variables. The estimators of performance utilized include parametric (MSEP$\sb{\rm m}$) and non-parametric (PRESS) assessments in the entire sample, and two data splitting estimates restricted to a random or balanced (Snee's DUPLEX) 'validation' half sample. The simulations were performed as a designed experiment, with population correlation matrices representing a broad range of data structures.^ The techniques examined for subset selection do not generally result in improved predictions relative to the full model. Approaches using 'forward selection' result in slightly smaller prediction errors and less biased estimators of predictive accuracy than 'all possible subsets' approaches but no differences are detected between the performances of C$\sb{\rm p}$ and S$\sb{\rm p}$. In every case, prediction errors of models obtained by subset selection in either of the half splits exceed those obtained using all predictors and the entire sample.^ Only the random split estimator is conditionally (on $\\beta$) unbiased, however MSEP$\sb{\rm m}$ is unbiased on average and PRESS is nearly so in unselected (fixed form) models. When subset selection techniques are used, MSEP$\sb{\rm m}$ and PRESS always underestimate prediction errors, by as much as 27 percent (on average) in small samples. Despite their bias, the mean squared errors (MSE) of these estimators are at least 30 percent less than that of the unbiased random split estimator. The DUPLEX split estimator suffers from large MSE as well as bias, and seems of little value within the context of stochastic regressor variables.^ To maximize predictive accuracy while retaining a reliable estimate of that accuracy, it is recommended that the entire sample be used for model development, and a leave-one-out statistic (e.g. PRESS) be used for assessment. ^

U.S. school based sealant programs: Review of their most common characteristics

In the United States, dental caries is the most common chronic illness in children, occurring five to eight times as frequently as asthma. 11 Dental caries is an unmet health need, disproportionately affecting minority groups and individuals with low socio-economic status.15,34,36 School-Based Sealant Programs were developed to target children at risk, to provide dental services in a closer geographic area, to offer low cost preventive dental services, and to educate families about oral health and prevention.1 There is scientific, evidence based literature that shows the effectiveness of dental sealants preventing dental decay. 13^ Currently, there is no central source for cataloging School-Based Sealant Programs (SBSPs). Information is scattered around publications and documents. For instance, the National Health and Nutrition Examination Survey (NHANES) does not have information about all the existing SBSPs. ^ This literature review determined which are the most common characteristics of SBSPs in the U.S. and determined the extent to which these programs provide sealants to children of low socio-economic status. The method utilized was an electronic database search. Pubmed and EBESCO host databases were searched with Mesh terms like “dental school sealant programs”, “community dentistry”, “school based sealant programs” and “oral preventive programs”. Results were organized in terms of location, population served, providers, funding source and data shared. ^ The searches produced 77 studies, from which 40 were included in this work. Only 18 U.S. states were represented in the results; however these findings are very consistent with the Best Practice Approach – School Based Sealant Programs3. Most of the SBSPs provide their services to children from low income families, and utilized the lower labor cost providers permitted by their state regulations. The author intends that this thesis work will become an aide in the development of future programs, and as evidence for the sustainability of these programs.^

Dynamic Chemical Shift Imaging for Image-Guided Thermal Therapy

Magnetic resonance temperature imaging (MRTI) is recognized as a noninvasive means to provide temperature imaging for guidance in thermal therapies. The most common method of estimating temperature changes in the body using MR is by measuring the water proton resonant frequency (PRF) shift. Calculation of the complex phase difference (CPD) is the method of choice for measuring the PRF indirectly since it facilitates temperature mapping with high spatiotemporal resolution. Chemical shift imaging (CSI) techniques can provide the PRF directly with high sensitivity to temperature changes while minimizing artifacts commonly seen in CPD techniques. However, CSI techniques are currently limited by poor spatiotemporal resolution. This research intends to develop and validate a CSI-based MRTI technique with intentional spectral undersampling which allows relaxed parameters to improve spatiotemporal resolution. An algorithm based on autoregressive moving average (ARMA) modeling is developed and validated to help overcome limitations of Fourier-based analysis allowing highly accurate and precise PRF estimates. From the determined acquisition parameters and ARMA modeling, robust maps of temperature using the k-means algorithm are generated and validated in laser treatments in ex vivo tissue. The use of non-PRF based measurements provided by the technique is also investigated to aid in the validation of thermal damage predicted by an Arrhenius rate dose model.

Glutamate receptors expressed in {\it Xenopus\/} oocytes: Studies in function and regulation

The amino acid glutamate is the primary excitatory neurotransmitter for the CNS and is responsible for the majority of fast synaptic transmission. Glutamate receptors have been shown to be involved in multiple forms of synaptic plasticity such as LTP, LTD, and the formation of specific synaptic connections during development. In addition to contributing to the plasticity of the CNS, glutamate receptors also are involved in, at least in part, various pathological conditions such as epilepsy, ischemic damage due to stroke, and Huntington's chorea. The regulation of glutamate receptors, particularly the ionotropic NMDA and AMPA/KA receptors is therefore of great interest. In this body of work, glutamate receptor function and regulation by kinase activity was examined using the Xenopus oocyte which is a convenient and faithful expression system for exogenous proteins. Glutamate receptor responses were measured using the two-electrode voltage clamp technique in oocytes injected with rat total forebrain RNA. NMDA elicited currents that were glycine-dependent, subject to block by Mg$\sp{2+}$ in a voltage-dependent manner and sensitive to the specific NMDA antagonist APV in a manner consistent with those types of responses found in neural tissue. Similarly, KA-evoked currents were sensitive to the specific AMPA/KA antagonist CNQX and exhibited current voltage relationships consistent with the calcium permeable type II KA receptors found in the hippocampus. There is evidence to indicate that NMDA and AMPA/KA receptors are regulated by protein kinase A (PKA). We explored this by examining the effects of activators of PKA (forskolin, 1-isobutyl-3-methylxanthine (IBMX) and 8-Br-cAMP) on NMDA and KA currents in the oocyte. In buffer where Ca$\sp{2+}$ was replaced by 2 mM Ba$\sp{2+},$ forskolin plus IBMX and 8-Br-cAMP augmented currents due to NMDA application but not KA. This augmentation was abolished by pretreating the oocytes in the kinase inhibitor K252A. The use of chloride channel blockers resulted in attenuation of this effect indicating that Ba$\sp{2+}$ influx through the NMDA channel was activating the endogenous calcium-activated chloride current and that the cAMP mediated augmentation was at the level of the chloride channel and not the NMDA channel. This was confirmed by (1) the finding that 8-Br-cAMP increased chloride currents elicited via calcium channel activation while having no effect on the calcium channels themselves and (2) the fact that lowering the Ba$\sp{2+}$ concentration to 200 $\mu$M abolished the augmentation NMDA currents by 8-Br-cAMP. Thus PKA does not appear to modulate ionotropic glutamate receptors in our preparation. Another kinase also implicated in the regulation of NMDA receptors, calcium/phospholipid-dependent protein kinase (PKC), was examined for its effects on the NMDA receptor under low Ba$\sp{2+}$ (200 $\mu$M) conditions. Phorbol esters, activators of PKC, induced a robust potentiation of NMDA currents that was blockable by the kinase inhibitor K252A. Furthermore activation of metabotropic receptors by the selective agonist trans-ACPD, also potentiated NMDA albeit more modestly. These results indicate that neither NMDA nor KA-activated glutamate receptors are modulated by PKA in Xenopus oocytes whereas NMDA receptors appear to be augmented by PKC. Furthermore, the endogenous chloride current of the oocyte was found to be responsive to Ba$\sp{2+}$ and in addition is enhanced by PKA. Both of these latter findings are novel. In conclusion, the Xenopus oocyte is a useful expression system for the analysis of ligand-gated channel activity and the regulation of those channels by phosphorylation. ^

Can accreditation work as a tool for quality improvement in public health? A critical review

Public health departments play an important role in promoting and preserving the health of communities. The lack of a system to ensure their quality and accountability led to the development of a national voluntary accreditation program by Public Health Accreditation Board (PHAB). The concept that accreditation will lead to quality improvement in public health which will ultimately lead to healthy communities seems intuitive but lacks a robust body of evidence. A critical review of literature was conducted to explore if accreditation can lead to quality improvement in public health. The articles were selected from publically available databases using a specific set of criteria for inclusion, exclusion, and appraisal. To understand the relationship between accreditation and quality improvement, the potential strengths and limitations of accreditation process were evaluated. Recommendations for best practices are suggested so that public health accreditation can yield maximum benefits. A logic model framework to help depict the impact of accreditation on various levels of public health outcomes is also discussed in this thesis. The literature review shows that existing accreditation programs in other industries show limited but encouraging evidence that accreditation will improve quality and strengthen the delivery of public health services. While progress in introducing accreditation in public health can be informed by other accredited industries, the public health field has its own set of challenges. Providing incentives, creating financing strategies, and having a strong leadership will allow greater access to accreditation by all public health departments. The suggested recommendations include that continuous evaluation, public participation, systems approach, clear vision, and dynamic standards should become hallmarks of the accreditation process. Understanding the link between accreditation, quality improvement, and health outcomes will influence the successful adoption and implementation of the public health accreditation program. This review of literature suggests that accreditation is an important step in improving the quality of public health departments and in ultimately improving the health of communities. However, accreditation should be considered in an integrated system of tools and approaches to improve the public health practice. Hence, it is a means to an end - not an end unto itself.^

The New Futuro College Plan: Facilitating College Access

Built on a free, bilingual, "high-touch, high-tech" platform, New Futuro has created a robust community of Latino students and parents, non-profit organizations, education institutions, government agencies, and corporations to connect those that need help with those that provide it. One of the resources developed by New Futuro is a proprietary 10-Steps College Plan that provides structured information targeted to Latino students and families to help them prepare, apply and pay for college.

A hybrid method in combining treatment effects from matched and unmatched studies

In the biomedical studies, the general data structures have been the matched (paired) and unmatched designs. Recently, many researchers are interested in Meta-Analysis to obtain a better understanding from several clinical data of a medical treatment. The hybrid design, which is combined two data structures, may create the fundamental question for statistical methods and the challenges for statistical inferences. The applied methods are depending on the underlying distribution. If the outcomes are normally distributed, we would use the classic paired and two independent sample T-tests on the matched and unmatched cases. If not, we can apply Wilcoxon signed rank and rank sum test on each case. ^ To assess an overall treatment effect on a hybrid design, we can apply the inverse variance weight method used in Meta-Analysis. On the nonparametric case, we can use a test statistic which is combined on two Wilcoxon test statistics. However, these two test statistics are not in same scale. We propose the Hybrid Test Statistic based on the Hodges-Lehmann estimates of the treatment effects, which are medians in the same scale.^ To compare the proposed method, we use the classic meta-analysis T-test statistic on the combined the estimates of the treatment effects from two T-test statistics. Theoretically, the efficiency of two unbiased estimators of a parameter is the ratio of their variances. With the concept of Asymptotic Relative Efficiency (ARE) developed by Pitman, we show ARE of the hybrid test statistic relative to classic meta-analysis T-test statistic using the Hodges-Lemann estimators associated with two test statistics.^ From several simulation studies, we calculate the empirical type I error rate and power of the test statistics. The proposed statistic would provide effective tool to evaluate and understand the treatment effect in various public health studies as well as clinical trials.^

Circadian rhythm profiles in porcine ICU subjects

Purpose: To explore the natural trajectory of circadian rhythms of sedation requirement, core body temperature (CBT), pulmonary mechanics (PM), and gas exchange (GE) in mechanically ventilated swine, as these variables affect the duration of mechanical ventilation. ^ Design: A secondary analysis to describe and compare circadian rhythms of study variables in swine mechanically ventilated for ≤ 7 days. ^ Setting: Porcine Intensive Care Unit (ICU).^ Sample: Six male swine. ^ Methods: Sedation requirements were recorded hourly and the CBT, PM and GE variables were sampled every 1 s – 1 min for ≤ 7 days. The data sets for each pig with > 5 days ICU length of stay were divided into one section representing the first 3 days and one section representing subsequent days. The Lomb periodogram was used to estimate the circadian time period for each variable, and cosinor analysis with the estimated time period to obtain amplitude and mesor. Circadian to ultradian bandpower ratio to assess rhythm quality and stability over time and goodness-of-fit index to describe biological significance of a rhythm were used. Together, these two parameters were used to define rhythm robustness over time. The masking effect of sedation as a potential confounder of the circadian rhythms of CBT, PM, and GE was explored, and circadian rhythm profiles of CBT of pigs in the ICU setting were compared with those of the same pigs in the ambulatory setting. ^ Results: All pigs had significant rhythms in CBT, respiratory rate, and peripheral oxygen saturation across ICU data sets. Healthier pigs had more robust rhythms of study variables over time. Sedation did not appear to mask the circadian rhythms of CBT, PM, and GE. The circadian rhythm of CBT was less robust in the ICU setting than in the ambulatory setting. ^ Conclusions: Individual subject observations provided preliminary evidence that robustness of rhythms varies with subject acuity. Comparison of profiles of circadian rhythms among ICU subjects with similar acuity and disease processes is warranted to determine if the profiles in the present study are reproducible. Identification of consistent patterns may provide insight into subject morbidity and timing of such therapeutic interventions as weaning from mechanical ventilation. ^