Attività autonomica cardiaca e funzioni neurocognitive nei pazienti affetti da sindrome delle gambe senza riposo (RLS): effetto dei farmaci dopamino agonisti in acuto e a lungo termine

Several studies showed that sleep loss/fragmentation may have a negative impact on cognitive performance, mood and autonomic activity. Specific neurocognitive domains, such as executive function (i.e.,prefrontal cortex), seems to be particularly vulnerable to sleep loss. Pearson et al.(2006) evaluated 16 RLS patients compared to controls by cognitive tests, including those particularly sensitive to prefrontal cortical (PFC) functioning and sleep loss. RLS patients showed significant deficits on two of the three PFC tests. It has been recently reported that RLS is associated with psychiatric manifestations. A high prevalence of depressive symptoms has been found in patients with RLS(Rothdach AJ et al., 2000). RLS could cause depression through its adverse influences on sleep and energy. On the other hand, symptoms of depression such as sleep deprivation, poor nutrition or lack of exercise may predispose an individual to the development of RLS. Moreover, depressed patients may amplify mild RLS, making occasional RLS symptoms appear to meet threshold criteria. The specific treatment of depression could be also implicated, since antidepressant compounds may worsen RLS and PLMD(Picchietti D et al., 2005; Damsa C et al., 2004). Interestingly, treatments used to relieve RLS symptoms (dopamine agonists) seem to have an antidepressant effects in RLS depressed patients(Saletu M et al., 2002&2003). During normal sleep there is a well-regulated pattern of the autonomic function, modulated by changes in sleep stages. It has been reported that chronic sleep deprivation is associated with cardiovascular events. In patients with sleep fragmentation increased number of arousals and increased cyclic alternating pattern rate is associated with an increase in sympathetic activity. It has been demonstrated that PLMS occurrence is associated with a shift to increased sympathetic activity without significant changes in cardiac parasympathetic activity (Sforza E et al., 2005). An increased association of RLS with hypertension and heart disease has been documented in several studies(Ulfberg J et al., 2001; Ohayon MM et al., 2002).

Season of birth is associated with anthropometric and neurocognitive outcomes during infancy and childhood in a general population birth cohort

The 'season of birth' effect is one of the most consistently replicated associations in schizophrenia epidemiology. In contrast, the association between season of birth and development in the general Population is relatively poorly understood. The aim of this study was to explore the impact of season of birth on various anthropometric and neurocognitive variables from birth to age seven in a large, community-based birth cohort. A sample of white singleton infants born after 37 weeks gestation (n =22,123) was drawn from the US Collaborative Perinatal Project. Anthropometric variables (weight, head circumference, length/height) and various measures of neurocognitive development, were assessed at birth, 8 months, 4 and 7 years of age. Compared to surnmer/autumn born infants, winter/spring born infants were significantly longer at birth, and at age seven were significantly heavier, taller and had larger head circumference. Winter/spring born infants were achieving significantly higher scores on the Bayley Motor Score at 8 months, the Graham-Ernhart Block Test at age 4, the Wechsler Intelligence Performance and Full Scale scores at age 7, but had significantly lower scores on the Bender-Gestalt Test at age 7 years. Winter/spring birth, while associated with an increased risk of schizophrenia, is generally associated with superior outcomes with respect to physical and cognitive development. (c) 2005 Elsevier B.V. All rights reserved.

Understanding the genetic basis of phenotype variability in individuals with neurocognitive disorders

Thesis (Ph.D.)--University of Washington, 2016-06

An approximate method for the solution of an influence function foil rolling model

Fleck and Johnson (Int. J. Mech. Sci. 29 (1987) 507) and Fleck et al. (Proc. Inst. Mech. Eng. 206 (1992) 119) have developed foil rolling models which allow for large deformations in the roll profile, including the possibility that the rolls flatten completely. However, these models require computationally expensive iterative solution techniques. A new approach to the approximate solution of the Fleck et al. (1992) Influence Function Model has been developed using both analytic and approximation techniques. The numerical difficulties arising from solving an integral equation in the flattened region have been reduced by applying an Inverse Hilbert Transform to get an analytic expression for the pressure. The method described in this paper is applicable to cases where there is or there is not a flat region.

Smoothing a Discrete Hazard Function for the Number of Patients Colonized with Methicillin-Resistance Staphylococcus Aureus in an Intensive Care Unit

A new method for estimating the time to colonization of Methicillin-resistant Staphylococcus Aureus (MRSA) patients is developed in this paper. The time to colonization of MRSA is modelled using a Bayesian smoothing approach for the hazard function. There are two prior models discussed in this paper: the first difference prior and the second difference prior. The second difference prior model gives smoother estimates of the hazard functions and, when applied to data from an intensive care unit (ICU), clearly shows increasing hazard up to day 13, then a decreasing hazard. The results clearly demonstrate that the hazard is not constant and provide a useful quantification of the effect of length of stay on the risk of MRSA colonization which provides useful insight.