Impact of enteral protein supplementation in premature infants

David M Barrus1, Joann Romano-Keeler2, Christopher Carr3, Kira Segebarth4, Betty Claxton2, William F Walsh2, Paul J Flakoll51Department of Neonatology, Saint Francis Hospital–Bartlett, Memphis, TN, 2Department of Pediatrics, Vanderbilt Medical Center, Nashville, TN, 3Department of Surgery, Naval Hospital Bremerton, Bremerton, WA, 4Pediatric and Diabetes Specialists, Carolinas Medical Center, Charlotte, NC, 5Department of Surgery, Vanderbilt Medical Center, Nashville, TN, USAObjective: The quantity of enteral protein supplementation required by premature infants to optimize growth has not been determined. This study compares the growth of premature infants fed the current standard intake of protein (3.5 g/kg/day) with the growth of those fed a higher amount (4.0 g/kg/day).Study design: Fifty-two infants <1500 g and <33 weeks gestational age participated in a blinded, single-center, prospective randomized control trial to compare growth between two groups of different protein-intake levels. Primary outcomes were average daily weight gain (g/kg/day), head-circumference (cm/kg/week) and linear growth velocity (cm/kg/week). Secondary outcomes were serum indices of protein tolerance and plasma amino acid concentrations.Results: Infants receiving higher amounts of protein had higher rates of growth for body weight (18.2 ± 0.7 versus 16.2 ± 1.0 g/kg/day; P < 0.05) and head circumference (0.87 ± 0.08 versus 0.62 ± 0.07 cm/kg/week; P < 0.05), with no differences in blood protein or plasma amino acid concentrations. Length of hospital stay was 14 days shorter for the higher-protein group (51.4 ± 4.0 versus 65.9 ± 6.3 days).Conclusion: Increasing premature infant enteral protein supplementation from a calculated intake of 3.5–4.0 g/kg/day improved growth in a safe manner.Keywords: human milk, human milk fortifier, growth, low birth weigh

Hemispheric language dominance testing by means of fMRI.

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Nuclear magnetic resonance: a diagnostic aid in oncology

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A Three-Dimensional Linear Articulatory Model Based on MRI Data

Based on a set of 3D vocal tract images obtained by MRI, a 3D statistical articulatory model has been built using guided Principal Component Analysis. It constitutes an extension to the lateral dimension of the mid-sagittal model previously developed from a radiofilm recorded on the same subject. The parameters of the 2D model have been found to be good predictors of the 3D shapes, for most configurations. A first evaluation of the model in terms of area functions and formants is presented. 1. INTRODUCTION Articulatory models constitute a privileged means for studying speech production phenomena, and particularly their control. However, traditional models are limited to the mere vocal tract midsagittal plane, which leads to a number of problems: (1) it is necessary to infer the area function from the midsagittal contours [3], (2) the lateral consonants with a complete closure in the midsagittal plane but with open lateral channels can not be handled by such models, and (3) the acoust..

fMRI assessment of hemispheric language dominance using a simple inner speech paradigm.

International audienceHemispheric language dominance (HLD) has been determined by means of functional MRI (fMRI) using a simple, inner speech, word fluency paradigm. During the task periods, subjects perform mental imagery of visual scenes and generate silently the nouns of all objects visualized. During the control periods, subjects attend to the scanner noise. Activated areas have been identified by means of cross-correlation analysis. HLD indices have been determined by comparing the number of activated pixels detected in both hemispheres within predefined cortical areas (Brodmann areas 6, 9, 10, 39, 40 and 44-47). The paradigm has been assessed on 10 healthy, right-handed volunteers. A volume 35 mm thick, centered on the inferior frontal gyrus, was imaged. A conventional GRE MR sequence was used on a 1.5 T clinical MR scanner. HLD indices were compared with those determined for overt speech. Robust fMRI responses were obtained. HLD indices indicated left hemispheric language dominance for all subjects examined. They correlated well with those obtained for overt speech (R(2) = 0.93, regression coefficient = 0.998, with p < 10(-4)). Thus, an inner speech paradigm based on visual imagery is well adapted for assessment of HLD by means of fMRI