Introduction: There is little evidence regarding the influence of emotional variables on breastfeeding among mothers of very low birth weight infants (VLBWIs). The objective of this study was to measure breast milk production (BMP) at two points in time during neonatal hospitalization and its association with anxiety, depression, and breastfeeding self-efficacy levels among mothers of VLBWIs.
Population And Methos: Prospective, observational, and multicenter study in mothers of VLBWIs (500-1500 g) from 9 NEOCOSUR Network centers.
Invest Ophthalmol Vis Sci
February 2018
Purpose: To investigate the relation between optical properties, population receptive fields (pRFs), visual function, and subjectively perceived quality of vision after cataract surgery.
Methods: The study includes 30 patients who had recently undergone bilateral sequential cataract surgery. We used functional magnetic resonance imaging and pRF modelling methods to assess pRF sizes across visual cortical regions (V1-V3).
Purpose: To evaluate the use of functional magnetic resonance imaging (MRI) to assess neuroadaptation to multifocal intraocular lenses (IOLs).
Setting: Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
Design: Prospective case study.
Purpose: To investigate the association between dysphotopsia and neural responses in visual and higher-level cortical regions in patients who recently received multifocal intraocular lens (IOL) implants.
Design: Cross-sectional study.
Participants: Thirty patients 3 to 4 weeks after bilateral cataract surgery with diffractive IOL implantation and 15 age- and gender-matched control subjects.
Alterations in oculomotor performance are among the first observable physical alterations during presymptomatic stages of Huntington's disease (HD). Quantifiable measurements of oculomotor performance have been studied as possible markers of disease status and progression in presymptomatic and early symptomatic stages of HD, on the basis of traditional analysis methods. Whether oculomotor performance can be used to classify individuals according to HD disease stage has yet to be explored via the application of machine-learning methods.
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