Infant Brain Atlases from Neonates to 1- and 2-Year-Olds

Shi, Feng; Yap, Pew Thian; Wu, Guorong; Jia, Hongjun; Gilmore, John H.; Lin, Weili; Shen, Dinggang

doi:10.1371/journal.pone.0018746

Cited by 495 publications

(608 citation statements)

References 47 publications

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“…We also found the regionally heterogeneous cortical LGI development during this stage, with the high-growth regions located in association cortex, whereas the low-growth regions located in sensorimotor, auditory, and visual cortices. Given the regionally heterogeneous growth pattern of the cortical LGI, it would be interesting to investigate how this relates to the underlying WM connectivity (Yap et al, 2011;Nie et al, 2013b;Zhu et al, 2013) and also to early cognitive and motor development in infants.…”

Section: Discussionmentioning

confidence: 99%

Mapping Longitudinal Development of Local Cortical Gyrification in Infants from Birth to 2 Years of Age

et al. 2014

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Human cortical folding is believed to correlate with cognitive functions. This likely correlation may have something to do with why abnormalities of cortical folding have been found in many neurodevelopmental disorders. However, little is known about how cortical gyrification, the cortical folding process, develops in the first 2 years of life, a period of dynamic and regionally heterogeneous cortex growth. In this article, we show how we developed a novel infant-specific method for mapping longitudinal development of local cortical gyrification in infants. By using this method, via 219 longitudinal 3T magnetic resonance imaging scans from 73 healthy infants, we systemically and quantitatively characterized for the first time the longitudinal cortical global gyrification index (GI) and local GI (LGI) development in the first 2 years of life. We found that the cortical GI had age-related and marked development, with 16.1% increase in the first year and 6.6% increase in the second year. We also found marked and regionally heterogeneous cortical LGI development in the first 2 years of life, with the high-growth regions located in the association cortex, whereas the low-growth regions located in sensorimotor, auditory, and visual cortices. Meanwhile, we also showed that LGI growth in most cortical regions was positively correlated with the brain volume growth, which is particularly significant in the prefrontal cortex in the first year. In addition, we observed gender differences in both cortical GIs and LGIs in the first 2 years, with the males having larger GIs than females at 2 years of age. This study provides valuable information on normal cortical folding development in infancy and early childhood.

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Section: Discussionmentioning

confidence: 99%

Mapping Longitudinal Development of Local Cortical Gyrification in Infants from Birth to 2 Years of Age

et al. 2014

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“…A brain region atlas of T2 MR images from the IDEA group at University of North Carolina (UNC) School of Medicine, Chapel Hill was aligned to each skull-stripped T1 image in the dataset [46]. The T2 atlas was used due to the lack of availability of an anatomically labelled T1 brain region atlas of young infants at the time of this study.…”

Section: Atlas Based Segmentationmentioning

confidence: 99%

Structural network analysis of brain development in young preterm neonates

et al. 2014

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Preterm infants develop differently than those born at term and are at higher risk of brain pathology. Thus, an understanding of their development is of particular importance. Diffusion tensor imaging (DTI) of preterm infants offers a window into brain development at a very early age, an age at which that development is not yet fully understood. Recent works have used DTI to analyze structural connectome of the brain scans using network analysis. These studies have shown that, even from infancy, the brain exhibits small-world properties. Here we examine a cohort of 47 normal preterm neonates (i.e., without brain injury and with normal neurodevelopment at 18 months of age) scanned between 27 and 45 weeks post-menstrual age to further the understanding of how the structural connectome develops. We use fullbrain tractography to find white matter tracts between the 90 cortical and sub-cortical regions defined in the University of North Carolina Chapel Hill neonatal atlas. We then analyze the resulting connectomes and explore the differences between weighting edges by tract count versus fractional anisotropy. We observe that the brain networks in preterm infants, much like infants born at term, show high efficiency and clustering measures across a range of network scales. Further, the development of many individual region-pair connections, particularly in the frontal and occipital lobes, is significantly correlated with age. Finally, we observe that the preterm infant connectome remains highly efficient yet becomes more clustered across this age range, leading to a significant increase in its small-world structure.

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“…In terms of reliability of measurements, infant templates for parcellation of neuroimages are not well established. Development of such templates will provide tools for reliable and accurate region of interestbased infant studies (117). Taken together, the rapid and ongoing progress in the field of imaging technology provides exciting opportunities for advancing infant brain development research.…”

Section: Ongoing and Future Researchmentioning

confidence: 99%