Diffusion Tensor Imaging and Tract-Based Spatial Statistic on FA, RD and AD were applied to investigate white matter development in formula fed infants and breast fed infants. Thirty-six infants (thirty breast fed and six formula fed) were scanned at 1 month and twenty-two (twelve breast fed and ten formula fed) at 3 months. Increased FA and decreased RD values were observed in breast fed infants at 1 month with differences becoming insignificant at 3 months.
Previous studies [1]–[4] have shown correlations between breastfeeding during infancy and improved cognitive performance later in life. Nevertheless, few studies have looked at nutrition and brain development during the first few months of life. Belfort et al. [4] observed an increase in deep nuclear gray matter volume in preterm neonates, breast fed in the first month. Deoni et al. [5] investigated the relationship between breastfeeding and myelination using a multicomponent diffusion model. They demonstrated that white matter (WM) was more developed in late maturing frontal and associative brain regions in breastfed children. However, their study focused on children from four months to ten years.
Diffusion Tensor Imaging (DTI) along with tract-based spatial statistics (TBSS) have been used to look at WM tracts in infants. These techniques have been applied to characterize WM development in preterm neonates [6]–[8] or in relation with various diseases [9].
The aim of this work is to provide new insights on the development of WM tracts with nutrition during the first three months of life using DTI and TBSS.
DTI images were acquired on a 3 T Trio scanner (Siemens, Erlangen Germany) with a simultaneous multi-slice sequence and the following parameters: TE = 104 ms, TR = 3.4 s, flip angle 90°, and 2 mm isotropic resolution with multiband factor 2. Thirty directions were acquired at b = 1000 s/mm2.
Forty-three healthy volunteer infants were scanned with signed informed consent and in accordance with IRB guidelines. Thirty-six infants were scanned at month 1, M1, (mean age: 25 days; range: 11-43 days) and twenty at month 3, M3, (mean age: 78 days; range: 64-95 days). This includes thirteen infants who were scanned at both ages.
The infants were classified in two groups for each time point. Infants were considered breast fed or formula fed when breast fed or formula fed more than 70% of the time since birth. Thirty neonates were breast fed (BF) and six were formula fed (FF) at M1. At M3, there were twelve BF infants and eight FF infants.
The preprocessing steps (brain extraction, corrections for off-resonance and eddy currents) were performed with FSL [10]-[11]. FA, AD and RD maps were obtained using DTIFIT. Voxel-wise statistical analysis was performed on the FA, AD and RD maps using TBSS [12]. TBSS analyses were carried out separately for the two time points since the infant brains differ substantially between the two ages.
In the TBSS analyses, the target FA was defined as the one with the minimum mean warp displacement score. A FA threshold of 0.2 was chosen to capture the main stem WM tracts and avoid peripheral tracts where there is increased subject variability. The threshold was only used to define the tracts of interest from the mean FA, creating a skeleton mask. Voxel-wise statistics were applied to the skeletonized FA maps using FSL randomize [13] and TFCE [14]. The obtained p-values were corrected for multiple comparisons.
ROI analysis was performed using the neonate atlas provided by Oishi et al. [15]. Regions on the atlas were selected if significant differences between formula and breast fed infants were observed in the TBSS analysis at M1. Nonlinear registration was applied via acquired T1 weighted images to align the atlas in DTI space. T-tests were performed on mean FA, RD and MD in these ROI between breastfed and formula infants.
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