View clinical trials related to Brain Development Abnormality.
Filter by:Sickle cell disease (SCD) is an autosomal recessive red blood cell blood disorder. One especially vital organ affected in SCD is the brain. Individuals with SCD have an increased risk of both overt cerebral infarctions and silent infarctions. The latter are brain lesions without apparent neurological sequelae. Since cortical neurons in the brain lack the ability to regenerate, tissue damage accumulates throughout the already shortened lifespan of individuals with SCD, resulting in far-reaching consequences such as significant cognitive impairment. Currently, only hematological stem cell transplantation can halt the multiorgan tissue damage. However, the criteria to determine the timing of curative therapy do not center the brain, despite that subtle anomalies of this critical organ can have long-lasting consequences. Since it is not yet known whether brain tissue damage precedes, parallels, or lags behind non-brain tissue damage, it is critical to map these effects in youth with SCD. While importantly comparing images with a healthy reference population. Understanding how the brain is affected is critical for clinical decision making, such as timing of potentially curative interventions but also, to prevent long term irreversible brain damage in youth with SCD. In this study, a cohort of 84 SCD patients between the ages of 6 and 18 at baseline, will undergo MR imaging, neurological examination, neuropsychological assessment and blood sampling three times in total, with intervals of two years; results will be innovatively compared with children included in the Generation R population study (±8000 MRIs children and (young)adults) 6-20 years of age). Our hypothesis, based on the inability of the brain to generate new cortical neurons following cell death, is that brain function is impaired earlier than other organ systems and that there is an age-dependent limit in the brain's ability to remodel itself based on neuroplasticity.
This study is a randomized trial comparing 2 methods of human milk fortification for preterm infants in the neonatal intensive care unit (NICU). All participating infants will receive a human milk diet comprising maternal and/or donor milk plus multi-component and modular fortifiers. In one group (control), the milk will be fortified according to routine standard of care. In the other group (intervention), the fortification will be individually targeted based on the results of point-of-care human milk analysis. Outcomes include physical growth in the NICU and after discharge, brain structure by magnetic resonance imaging at term equivalent age, and neurodevelopment at 2 years.
Synthetic MR Technologies has created a quantified imaging solution - SyMRI - to enable radiologists to acquire quantified images and always obtain the best contrast images. This study represents an attempt to assess the clinical utility of this software.
Prematurely born children are at higher risk of cognitive impairments and behavioral disorders than full-term children. There is growing evidence of significant volumetric and shape abnormalities in subcortical structures of premature neonates, which may be associated to negative long-term neurodevelopmental outcomes. The general objective is to look directly at the long-term neurodevelopmental implications of these neonatal subcortical structures abnormalities. Investigators propose to develop biomarkers of prematurity by comparing the morphological and diffusion properties of subcortical structures between preterm, with and without associated brain injuries, and full-term neonates using brain MRI. By combining subcortical morphological and diffusion properties, investigators hypothesize to be able to: (1) delineate specific correlative relationships between structures regionally and differentially affected by normal maturation and different patterns of white matter injury, and (2) improve the specificity of neuroimaging to predict neurodevelopmental outcomes earlier. The specific aims and general methodology are: 1) Build a new toolbox for neonatal subcortical structures analyses that combine a group lasso-based analysis of significant regions of shape changes, a structural correlation network analysis, a neonatal tractography, and tensor-based analysis on tracts; 2) Ascertain biomarkers of prematurity in neonates with different patterns of abnormalities using correlational and connectivity analysis within and between structures features; 3) Assess the predictive potential of subcortical imaging on neurodevelopmental outcomes by correlating neonatal imaging results with long-term neurodevelopmental scores at 9 and 18 months, and 6-8 years, follow-up. In each of these aims, investigators will use advanced neuroimaging analysis developed by their group and collaborator, including multivariate tensor-based morphometry and multivariate tract-based analysis. This application will provide the first complete subcortical network analysis in both term and preterm neonates. In the first study of its kind for prematurity, investigators will use sparse and multi-task learning to determine which of the biomarkers of prematurity at birth are the best predictors of long-term outcome. Once implemented, these methods will be available to compare subcortical structures for other pathologies in newborns and children.