Numerical Simulation of the Nearshore Oil Behaviors Based on Computational Fluid Dynamics

Oil spills are a serious environmental problem. To better support risk assessment and pollution control for oil spills, a good understanding of oil transport in the environment is required. This information is essential for managing response priorities and preparing contingency and mitigating measures. This study focused on the numerical simulation of the nearshore oil behaviors based on computational fluid dynamics. Based on the Reynolds-averaged Navier-Stokes momentum equations for an incompressible viscous fluid and volume of fluid (VOF) method, a 3D numerical model of three-phase transient flow was developed. It was found that the wave number, averaged flow velocity, and oil properties would affect the oil spread extent and the oil volume fraction for open water. The higher the averaged flow velocity and wave number, the lower the oil concentration, and the faster the oil's horizontal movement. The spilled oil may move to contact the seafloor by increasing the averaged flow velocity at the inlet boundary. By increasing the wave number, the oil would stay near the water surface. In nearshore, where the wave is the main seawater motion, the oil containment boom should be set preferentially to the direction of wave transmission for oil cleaning. It was also shown that by doubling the wave number and increasing the averaged flow velocity (ten times) simultaneously, the maximum oil volume fraction would be reduced by around 32%. Finally, it was found that water temperature had no significant impact on oil migration, and the impact of evaporation can be further considered in the future simulation. In addition, this study showed that the presence of ice would make the spreading of spilled oil slower in horizontal direction because the ice can build natural barriers to oil movement. The higher the ice concentration, the slower spilled oil migrates in all directions, and the maximum oil volume fraction will vary by increasing the ice coverage on the water surface area. The wave frequency, the averaged flow velocity, and oil properties would affect the oil spread extent and the oil volume fraction. The dumping effect of the wave due to the presence of ice also makes the impact of this factor less critical than those in the open water

CHANGE IN FREQUENCY OF ACUTE AND SUBACUTE EFFECTS OF ECSTASY IN A GROUP OF NOVICE USERS AFTER 6 MONTHS OF REGULAR USE

Background: Recent research trends are to specify the relation between patterns of ecstasy use and side effects, possibility of dependency, tolerance and long term neurocognitive damage. The objective of this study was to assess the impact of regular ecstasy use on its acute and subacute effects. Subjects and methods: At the first stage, we recruited 120 subjects. If participants continued regular use of ecstasy in this period, they were asked to participate in the second stage of the research 6 months later. Thirty-five subjects attended the second stage of the study, 5 of which were excluded because they had less than 5 drug experiences during the last 6 months. At last, we recruited 30 novice ecstasy users by means of the snowball technique in Tehran, Iran. The pattern of use and experienced effects of ecstasy was documented at the beginning and after 6 months of regular consumption with a self administered questionnaire. Results: Little or no change was observed in acute effects. Those subacute effects that had considerable increase in frequency were anxiety, depression, aggression, memory impairment, poor concentration and learning problems. Conclusion: Small change in acute effects suggests low possibility of tolerance after at least 6 months of regular use. Our results support long term neurocognitive damage and mood impairment with ecstasy use

Towards Deciphering the Fetal Foundation of Normal Cognition and Cognitive Symptoms From Sulcation of the Cortex.

Growing evidence supports that prenatal processes play an important role for cognitive ability in normal and clinical conditions. In this context, several neuroimaging studies searched for features in postnatal life that could serve as a proxy for earlier developmental events. A very interesting candidate is the sulcal, or sulco-gyral, patterns, macroscopic features of the cortex anatomy related to the fold topology-e.g., continuous vs. interrupted/broken fold, present vs. absent fold-or their spatial organization. Indeed, as opposed to quantitative features of the cortical sheet (e.g., thickness, surface area or curvature) taking decades to reach the levels measured in adult, the qualitative sulcal patterns are mainly determined before birth and stable across the lifespan. The sulcal patterns therefore offer a window on the fetal constraints on specific brain areas on cognitive abilities and clinical symptoms that manifest later in life. After a global review of the cerebral cortex sulcation, its mechanisms, its ontogenesis along with methodological issues on how to measure the sulcal patterns, we present a selection of studies illustrating that analysis of the sulcal patterns can provide information on prenatal dispositions to cognition (with a focus on cognitive control and academic abilities) and cognitive symptoms (with a focus on schizophrenia and bipolar disorders). Finally, perspectives of sulcal studies are discussed

A functional polymorphism of the brain derived neurotrophic factor gene and cortical anatomy in autism spectrum disorder

Autism Spectrum Disorder (ASD) is associated with both (i) post-mortem and neuroimaging evidence of abnormal cortical development, and (ii) altered signalling in Brain Derived Neurotrophic Factor (BDNF) pathways - which regulate neuroproliferative and neuroplastic processes. In healthy controls genotype at a single nucleotide polymorphism that alters BDNF signalling (Val66met) has been related to regional cortical volume. It is not known however if this influence on brain development is intact in ASD. Therefore we compared the relationship between genotype and cortical anatomy (as measured using in vivo Magnetic Resonance Imaging) in 41 people with ASD and 30 healthy controls. We measured cortical volume, and its two sole determinants - cortical thickness and surface area - which reflect differing neurodevelopmental processes. We found “Group-by-Genotype” interactions for cortical volume in medial (caudal anterior cingulate, posterior cingulate) and lateral (rostral middle, lateral orbitofrontal, pars orbitalis and pars triangularis) frontal cortices. Furthermore, within (only) these regions “Group-by-Genotype” interactions were also found for surface area. No effects were found for cortical thickness in any region. Our preliminary findings suggest that people with ASD have differences from controls in the relationship between BDNF val66met genotype and regional (especially frontal) cortical volume and surface area, but not cortical thickness. Therefore alterations in the relationship between BDNF val66met genotype and surface area in ASD may drive the findings for volume. If correct, this suggests ASD is associated with a distorted relationship between BDNF val66met genotype and the determinants of regional cortical surface area – gyrification and/or sulcal positioning

Mapping cortical anatomy in preschool aged children with autism using surface-based morphometry☆

The challenges of gathering in-vivo measures of brain anatomy from young children have limited the number of independent studies examining neuroanatomical differences between children with autism and typically developing controls (TDCs) during early life, and almost all studies in this critical developmental window focus on global or lobar measures of brain volume. Using a novel cohort of young males with Autistic Disorder and TDCs aged 2 to 5 years, we (i) tested for group differences in traditional measures of global anatomy (total brain, total white, total gray and total cortical volume), and (ii) employed surface-based methods for cortical morphometry to directly measure the two biologically distinct sub-components of cortical volume (CV) at high spatial resolution—cortical thickness (CT) and surface area (SA). While measures of global brain anatomy did not show statistically significant group differences, children with autism showed focal, and CT-specific anatomical disruptions compared to TDCs, consisting of relative cortical thickening in regions with central roles in behavioral regulation, and the processing of language, biological movement and social information. Our findings demonstrate the focal nature of brain involvement in early autism, and provide more spatially and morphometrically specific anatomical phenotypes for subsequent translational study

Neuropsychological attention deficits in tuberous sclerosis complex (TSC).

Tuberous sclerosis complex (TSC) (OMIM191100) is a genetic disorder with multi-system involvement including neurodevelopmental manifestations. There is great interest in understanding the pathogenetic mechanisms underlying these neurobehavioral and neurocognitive manifestations. However, there are still significant gaps in knowledge about the exact neuropsychiatric phenotypes observed in TSC. Here we report on the first systematic evaluation of neuropsychological attentional skills in a population-derived sample of children and adolescents with TSC. The study showed that, even when age, gender, IQ, and intra-familial clustering were controlled for, the TSC group had significantly lower scores than their unaffected siblings on a range of neuropsychological attentional tasks, and that they had significantly more neuropsychological attention deficits. Eighteen of the 20 children (90%) showed deficits on one or more attentional tasks, with dual task performance most consistently impaired (85%) and visual selective attention a relative strength. Active seizures and anti-epilepsy medication did not influence attentional profiles. Furthermore, parent rating of attention-related behaviors were not able to identify children at risk of neuropsychological deficits. The findings suggest that clinical neuropsychological evaluation of attentional skills should be performed in children and adolescents with TSC even when they have normal global intellectual abilities, no seizures, and no disruptive behaviors. Results suggest that the mechanisms underlying these deficits may include contributions from structural, seizure-related and molecular factors

The variegation of human brain vulnerability to rare genetic disorders and convergence with behaviorally defined disorders

BACKGROUND: Diverse gene dosage disorders (GDDs) increase risk for psychiatric impairment, but characterization of GDD effects on the human brain has so far been piecemeal with few simultaneous analyses of multiple brain features across different GDDs. METHODS: Here, through multimodal neuroimaging of 3 aneuploidy syndromes [XXY (total n = 191, 92 controls), XYY (total n=81, 47 controls) , trisomy 21 (total n=69, 41 controls)], we systematically map the effects of supernumerary X, Y and chromosome 21 dosage across a breadth of 15 different macrostructural, microstructural, and functional imaging derived phenotypes (IDPs). RESULTS: We reveal considerable diversity in cortical changes across GDDs and IDPs. This variegation of IDP change underlines the limitations of studying GDD effects unimodally. Integration across all IDP change maps reveals highly distinct architectures of cortical change in each GDD along with partial coalescence onto a common spatial axis of cortical vulnerability that is evident in all three GDDs. This common axis shows strong alignment with shared cortical changes in behaviorally defined psychiatric disorders and is enriched for specific molecular and cellular signatures. CONCLUSION: Use of multimodal neuroimaging data in three aneuploidies indicates that different GDDs impose unique fingerprints of change in the human brain that differ widely depending on the imaging modality being considered. Embedded in this variegation is a spatial axis of shared multimodal change that aligns with shared brain changes across psychiatric disorders and therefore represents a major high-priority target for future translational research in neuroscience

Adolescent brain maturation and cortical folding: evidence for reductions in gyrification

Evidence from anatomical and functional imaging studies have highlighted major modifications of cortical circuits during adolescence. These include reductions of gray matter (GM), increases in the myelination of cortico-cortical connections and changes in the architecture of large-scale cortical networks. It is currently unclear, however, how the ongoing developmental processes impact upon the folding of the cerebral cortex and how changes in gyrification relate to maturation of GM/WM-volume, thickness and surface area. In the current study, we acquired high-resolution (3 Tesla) magnetic resonance imaging (MRI) data from 79 healthy subjects (34 males and 45 females) between the ages of 12 and 23 years and performed whole brain analysis of cortical folding patterns with the gyrification index (GI). In addition to GI-values, we obtained estimates of cortical thickness, surface area, GM and white matter (WM) volume which permitted correlations with changes in gyrification. Our data show pronounced and widespread reductions in GI-values during adolescence in several cortical regions which include precentral, temporal and frontal areas. Decreases in gyrification overlap only partially with changes in the thickness, volume and surface of GM and were characterized overall by a linear developmental trajectory. Our data suggest that the observed reductions in GI-values represent an additional, important modification of the cerebral cortex during late brain maturation which may be related to cognitive development