92 research outputs found
Uniform electron gases
We show that the traditional concept of the uniform electron gas (UEG) --- a
homogeneous system of finite density, consisting of an infinite number of
electrons in an infinite volume --- is inadequate to model the UEGs that arise
in finite systems. We argue that, in general, a UEG is characterized by at
least two parameters, \textit{viz.} the usual one-electron density parameter
and a new two-electron parameter . We outline a systematic
strategy to determine a new density functional across the
spectrum of possible and values.Comment: 8 pages, 2 figures, 5 table
Interstitial lung disease in children - genetic background and associated phenotypes
Interstitial lung disease in children represents a group of rare chronic respiratory disorders. There is growing evidence that mutations in the surfactant protein C gene play a role in the pathogenesis of certain forms of pediatric interstitial lung disease. Recently, mutations in the ABCA3 transporter were found as an underlying cause of fatal respiratory failure in neonates without surfactant protein B deficiency. Especially in familiar cases or in children of consanguineous parents, genetic diagnosis provides an useful tool to identify the underlying etiology of interstitial lung disease. The aim of this review is to summarize and to describe in detail the clinical features of hereditary interstitial lung disease in children. The knowledge of gene variants and associated phenotypes is crucial to identify relevant patients in clinical practice
Cognition based bTBI mechanistic criteria; a tool for preventive and therapeutic innovations
Blast-induced traumatic brain injury has been associated with neurodegenerative and neuropsychiatric disorders. To date, although damage due to oxidative stress appears to be important, the specific mechanistic causes of such disorders remain elusive. Here, to determine the mechanical variables governing the tissue damage eventually cascading into cognitive deficits, we performed a study on the mechanics of rat brain under blast conditions. To this end, experiments were carried out to analyse and correlate post-injury oxidative stress distribution with cognitive deficits on a live rat exposed to blast. A computational model of the rat head was developed from imaging data and validated against in vivo brain displacement measurements. The blast event was reconstructed in silico to provide mechanistic thresholds that best correlate with cognitive damage at the regional neuronal tissue level, irrespectively of the shape or size of the brain tissue types. This approach was leveraged on a human head model where the prediction of cognitive deficits was shown to correlate with literature findings. The mechanistic insights from this work were finally used to propose a novel helmet design roadmap and potential avenues for therapeutic innovations against blast traumatic brain injury
Resting-state brain information flow predicts cognitive flexibility in humans
The human brain is a dynamic system, where communication between spatially distinct areas facilitates complex cognitive functions and behaviors. How information transfers between brain regions and how it gives rise to human cognition, however, are unclear. In this article, using resting-state functional magnetic resonance imaging (fMRI) data from 783 healthy adults in the Human Connectome Project (HCP) dataset, we map the brain’s directed information flow architecture through a Granger-Geweke causality prism. We demonstrate that the information flow profiles in the general population primarily involve local exchanges within specialized functional systems, long-distance exchanges from the dorsal brain to the ventral brain, and topdown exchanges from the higher-order systems to the primary systems. Using an information flow map discovered from 550 subjects, the individual directed information flow profiles can significantly predict cognitive flexibility scores in 233 novel individuals. Our results provide evidence for directed information network architecture in the cerebral cortex, and suggest that features of the information flow configuration during rest underpin cognitive ability in humans
Cortisol, cognition and the ageing prefrontal cortex
The structural and functional decline of the ageing human brain varies by brain
region, cognitive function and individual. The underlying biological mechanisms are
poorly understood. One potentially important mechanism is exposure to
glucocorticoids (GCs; cortisol in humans); GC production is increasingly varied with
age in humans, and chronic exposure to high levels is hypothesised to result in
cognitive decline via cerebral remodelling. However, studies of GC exposure in
humans are scarce and methodological differences confound cross-study comparison.
Furthermore, there has been little focus on the effects of GCs on the frontal lobes and
key white matter tracts in the ageing brain. This thesis therefore examines
relationships among cortisol levels, structural brain measures and cognitive
performance in 90 healthy, elderly community-dwelling males from the Lothian
Birth Cohort 1936. Salivary cortisol samples characterised diurnal (morning and
evening) and reactive profiles (before and after a cognitive test battery). Structural
variables comprised Diffusion Tensor Imaging measures of major brain tracts and a
novel manual parcellation method for the frontal lobes. The latter was based on a
systematic review of current manual methods in the context of putative function and
cytoarchitecture. Manual frontal lobe brain parcellation conferred greater spatial and
volumetric accuracy when compared to both single- and multi-atlas parcellation at
the lobar level. Cognitive ability was assessed via tests of general cognitive ability,
and neuropsychological tests thought to show differential sensitivity to the integrity
of frontal lobe sub-regions. The majority of, but not all frontal lobe test scores shared
considerable overlap with general cognitive ability, and cognitive scores correlated
most consistently with the volumes of the anterior cingulate. This is discussed in
light of the diverse connective profile of the cingulate and a need to integrate
information over more diffuse cognitive networks according to proposed de-differentiation
or compensation in ageing. Individuals with higher morning, evening
or pre-test cortisol levels showed consistently negative relationships with specific
regional volumes and tract integrity. Participants whose cortisol levels increased
between the start and end of cognitive testing showed selectively larger regional
volumes and lower tract diffusivity (correlation magnitudes <.44). The significant
relationships between cortisol levels and cognition indicated that flatter diurnal
slopes or higher pre-test levels related to poorer test performance. In contrast, higher
levels in the morning generally correlated with better scores (correlation magnitudes
<.25). Interpretation of all findings was moderated by sensitivity to type I error,
given the large number of comparisons conducted. Though there were limited
candidates for mediation analysis, cortisol-function relationships were partially
mediated by tract integrity (but not sub-regional frontal volumes) for memory and
post-error slowing. This thesis offers a novel perspective on the complex interplay
among glucocorticoids, cognition and the structure of the ageing brain. The findings
suggest some role for cortisol exposure in determining age-related decline in
complex cognition, mediated via brain structure
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