Neurodevelopmental MRI brain templates for children from 2 weeks to 4 years of age

Developmental Psychobiology

Volumn 54, Issue 1, 2012, Pages 77-91

  Sanchez, Carmen E ^a   Richards, John E ^a   Almli, C Robert ^b  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Brain imaging; Infant; Neonatal

Indexed keywords

ARTICLE; BRAIN; FACTUAL DATABASE; FEMALE; GROWTH, DEVELOPMENT AND AGING; HUMAN; IMAGE PROCESSING; INFANT; MALE; METHODOLOGY; NEUROIMAGING; NEWBORN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRESCHOOL CHILD; REFERENCE VALUE;

BRAIN; CHILD, PRESCHOOL; DATABASES, FACTUAL; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INFANT; INFANT, NEWBORN; MAGNETIC RESONANCE IMAGING; MALE; NEUROIMAGING; REFERENCE VALUES;

EID: 83955162940     PISSN: 00121630     EISSN: 10982302     Source Type: Journal    
DOI: 10.1002/dev.20579     Document Type: Article

References (47)

1. Almli, C. R., Rivkin, M. J., & McKinstry, R. C. (2007). The NIH MRI study of normal brain development (objective-2): Newborns, infants, toddlers, and preschoolers. Neuroimage, 35, 308-325.
2. Altaye, M., Holland, S. K., Wilke, M., & Gaser, C. (2008). Infant brain probability templates for MRI segmentation and normalization. Neuroimage, 43, 721-730.
3. Aslin, R. N., & Mehler, J. (2005). Near-infrared spectroscopy for functional studies of brain activity in human infants: Promise, prospects, and challenges. Journal of Biomedical Optics, 10(1).
4. Ashburner, J., & Friston, K. J. (1999). Nonlinear spatial normalization using basis functions. Human Brain Mapping, 7, 254-266.
5. Avants, B. B., Epstein, C. L., Grossman, M., & Gee, J. C. (2008). Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain. Medical Image Analysis, 12, 26-41.
6. Avants, B. B., Tustison, N., & Song, G. (2011). Advanced Normalization Tools (ANTS). Release 1.5, Penn Image Computing and Science Laboratory.
7. Aubert-Broche, B., Fonov, V., Leppert, I. R., Pike, G. B., & Collins, D. L. (2008) Human brain myelination from birth to 4.5 years. Lecture Notes in Computer Science, 5242.
8. Barkovich, A. J. (2005). Magnetic resonance techniques in the assessment of myelin and myelination. Journal of Inherited Metabolic Disease, 28(3), 311-343.
9. Brain Development Cooperative Group. (2006). The NIH MRI study of normal brain development. Neuroimage, 30, 184-202.
10. Brain Development Cooperative Group. (2011). Total and regional brain volumes in a population-based normative sample from 4 to 18 years: The NIH study of normal brain development. Cerebral Cortex, In Press.
11. Burgund, E. D., Kang, H. C., Kelly, J. E., Buckner, R. L., Snyder, A. Z., Petersen, S. E. (2002). The feasibility of a common stereotactic space for children and adults in fMRI studies of development. Neuroimage, 17(1), 184-200.
12. Evans, A. C. (2005). Large-scale morphometric analysis of neuroanatomy and neuropathology. Anatomy and Embryology, 210, 439-446.
13. Evans, A. C., Collins, D. L., Mills, S. R., Brown, E. D., Kelly, R. L., & Peters, T. M. (1993). 3rd statistical neuroanatomical models from 305 MRI volumes. Paper presented at the Proc IEEE Nucl Science Symp Medl Imaging Conf.
14. Fonov, V., Evans, A. C., Botteron, K., Almli, C. R., McKinstry, R. C., & Collins, D. L. (2011). Unbiased average age-appropriate atlases for pediatric studies. Neuroimage, 54, 313-327.
15. Gaillard, W. D., Grandin, C. B., & Xu, B. (2001). Developmental aspects of pediatric fMRI: Considerations for image acquisition, analysis, and interpretation. Neuroimage, 13, 239-249.
16. Gilmore, J. H., Lin, W., Prastawa, M. W., Looney, C. B., Vetsa, Y. S. K., & Knickmeyer, R. C. (2007). Regional gray matter growth, sexual dimorphism, and cerebral asymmetry in the neonatal brain. Journal of Neuroscience, 27(6), 1255-1260.
17. Guimond, A., Meunier, J., & Thirion, J. P. (2000). Average brain models: A convergence study. Computer Vision and Image Understanding, 77(2), 192-210.
18. Jenkinson, M., Pechaud, M., & Smith, S. (2005). BET2: MR-based estimation of brain, skull and scalp surfaces. Paper presented at the Eleventh annual meeting of the Organization for Human Brain Mapping, Toronto, Canada.
19. Jenkinson, M., & Smith, S. (2001). A global optimization method for robust affine registration of brain images. Medical Image Analysis, 5, 143-156.
20. Joshi, S., Davis, B., Jomier, M., & Gerig, G. (2004). Unbiased diffeomorphic atlas construction for computational anatomy. Neuroimage, 23, S151-S160.
21. Kang, H. C., Burgund, E. D., Lugar, H. M., Petersen, S. E., & Schlaggar, B. L. (2003). Comparison of functional activation foci in children and adults using a common stereotactic space. Neuroimage, 19, 16-28.
22. Kazemi, K., Moghaddam, H. A., Grebe, R., Gondry-Jouet, C., & Wallois, F. (2007). A neonatal atlas template for spatial normalization of whole-brain magnetic resonance images of newborns: Preliminary results. Neuroimage, 37, 463-473.
23. Klein, A., Andersson, J., Ardekani, B. A., Ashburner, J., Avants, B., & Chiang, M. C. (2009). Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. Neuroimage, 46(3), 786-802.
24. Klingberg, T. (2008). Development of white matter as a basis for cognitive development during childhood. In Nelson C. A., & Luciana M. (Eds.) Developmental cognitive neuroscience. (pp. 237-244) Cambridge, MA: MIT Press.
25. Lange, N., Froimowitz, M. P., Bigler, E. D., & Lainhart, J. E. (2010). Associations between IQ, regional brain volumes and demography in a large normative sample of healthy children and adolescent. Developmental Neuropsychology, 3, 296-317.
26. Leppert, I. R., Almli, C. R., McKinstry, R. C., Mulkern, R. V., Pierpaoli, C., & Rivkin, M. J. (2009). T-2 relaxometry of normal pediatric brain development. Journal of Magnetic Resonance Imaging, 29(2), 258-267.
27. Mazziotta, J., Toga, A., Evans, A., Fox, P., Lancaster, J., Zilles, K., Mazoyer, B. (2001). A probabilistic atlas and reference system for the human brain. Philosophical Transactions of the Royal Society of London: B, Biological Sciences, 356, 1293-1322.
28. Mehler, J., Gervain, J., Endress, A., & Shukla, M. (2008). Mechanisms of language acquisition: Imaging and behavioral evidence. In Nelson C. A., & Luciana M. (Eds.) Developmental cognitive neuroscience. (pp. 325-336) Cambridge, MA: MIT Press.
29. Mewes, A. U. J., Huppi, P. S., Als, H., Rybicki, F. J., Inder, T. E., & McAnulty, G. B. (2006). Regional brain development in serial magnetic resonance imaging of low-risk preterm infants. Pediatrics, 118(1), 23-33.
30. Muzik, O., Chugani, D. C., Juhasz, C., Shen, C. G., & Chugani, H. T. (2000). Statistical parametric mapping: Assessment of application in children. Neuroimage, 12, 538-549.
31. Prastawa, M., Gilmore, J. H., Lin, W. L., & Gerig, G. (2005). Automatic segmentation of MR images of the developing newborn brain. Medical Image Analysis, 9, 457-466.
32. Reynolds, G. D., Courage, M. L., & Richards, J. E. (2010). Infant attention visual preferences: Converging evidence from behavior, event-related potentials, and cortical source localization. Developmental Psychology, 46(4), 886-904.
33. Reynolds, G. D., & Richards, J. E. (2009). Cortical source localization of infant cognition. Developmental Neuropsychology, 34(3), 312-329.
34. Richards, J. E. (2010). The development of attention to simple and complex visual stimuli in infants: Behavioral and psychophysiological measures. Developmental Review, 30(2), 203-219.
35. Sanchez, C. E., Richards, J. E., & Almli, C. R. (2010). Age-specific MRI brain templates for healthy brain development from 4 to 24 years of age. Unpublished ms.
36. Shi, F., Fan, Y., Tang, S. Y., Gilmore, J. H., Lin, W. L., & Shen, D. G. (2010). Neonatal brain image segmentation in longitudinal MRI studies. Neuroimage, 49(1), 391-400.
37. Shi, F., Yap, P. T., Wu, G., Jia, H., Gilmore, J. H., Lin, W., & Shen, D. (2011). Infant brain atlases from neonates and 1- and 2-year-olds. PLoS ONE, 6(4), e18746.
38. Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., & Johansen-Berg, H. (2004). Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage, 23, S208-S219.
39. Srinivasan, L., Dutta, R., Counsell, S. J., Allsop, J. M., Boardman, J. P., & Rutherford, M. A. (2007). Quantification of deep gray matter in preterm infants at term-equivalent age using manual volumetry of 3-Tesla magnetic resonance images. Pediatrics, 119(4), 759-765.
40. Talairach, J., & Tournoux, P. (1988). Co-planar stereotaxic atlas of the human brain. New York: Thieme Medical Publishers.
41. Tustison, N. J., Avants, B. B., Cook, P. A., Zheng, Y., Egan, A., Yushkevich, P. A., Gee, J. C. (2010). N4ITK: Improved N3 bias correction. IEEE Transactions on Medical Imaging, 29, 1310-1320.
42. Waber, D. P., De Moor, C., Forbes, P. W., Almli, C. R., Botteron, K. N., & Leonard, G. (2007). The NIH MRI study of normal brain development: Performance of a population based sample of healthy children aged 6 to 18 years on a neuropsychological battery. Journal of the International Neuropsychological Society, 13(5), 729-746.
43. Wilke, M., Holland, S. K., Altaye, M., & Gaser, C. (2008). Template-O-Matic: A toolbox for creating customized pediatric templates. Neuroimage, 41(3), 903-913.
44. Wilke, M., Schmithorst, V. J., & Holland, S. K. (2002). Assessment of spatial normalization of whole-brain magnetic resonance images in children. Human Brain Mapping, 17, 48-60.
45. Weisenfeld, N. I., & Warfield, S. K. (2009). Automatic segmentation of newborn brain MRI. Neuroimage, 47, 564-572.
46. Xue, H., Srinivasan, L., Jiang, S. Z., Rutherford, M., Edwards, A. D., & Rueckert, D. (2007). Automatic segmentation and reconstruction of the cortex from neonatal MRI. Neuroimage, 38(3), 461-477.
47. Yoon, U., Fonov, V. S., Perusse, D., & Evans, A. C. (2009). The effect of template choice on morphometric analysis of pediatric brain data. Neuroimage, 45(3), 769-777.