White matter development and early cognition in babies and toddlers

Human Brain Mapping

Volumn 35, Issue 9, 2014, Pages 4475-4487

  O'Muircheartaigh, Jonathan ^a,b   Dean, Douglas C ^a   Ginestet, Cedric E ^c   Walker, Lindsay ^a   Waskiewicz, Nicole ^a   Lehman, Katie ^a   Dirks, Holly ^a   Piryatinsky, Irene ^a   Deoni, Sean C L ^a  

^a Brown University   (United States)

^b KING'S COLLEGE LONDON   (United Kingdom)

^c USA   (United States)

Author keywords

Cognitive development; Language; Multicomponent relaxometry; Myelin volume fraction; Neurodevelopment; White matter

Indexed keywords

MYELIN;

AGE DISTRIBUTION; ARTICLE; ARTIFACT; ASSOCIATION; BRAIN DEVELOPMENT; BRAIN SIZE; CHILD; COGNITIVE DEVELOPMENT; CORPUS CALLOSUM; FEMALE; FRONTAL CORTEX; HUMAN; INFANT; INFERIOR FRONTAL GYRUS; LANGUAGE ABILITY; MAJOR CLINICAL STUDY; MALE; NEUROANATOMY; NOISE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SKILL; TEMPORAL CORTEX; WHITE MATTER; ANATOMY AND HISTOLOGY; BRAIN; CHILD DEVELOPMENT; COGNITION; GROWTH, DEVELOPMENT AND AGING; IMAGE PROCESSING; LANGUAGE; MOTOR PERFORMANCE; MYELINATED NERVE; NONLINEAR SYSTEM; PRESCHOOL CHILD; PROCEDURES; PSYCHOLOGIC TEST;

BRAIN; CHILD DEVELOPMENT; CHILD, PRESCHOOL; COGNITION; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INFANT; LANGUAGE; MAGNETIC RESONANCE IMAGING; MALE; MOTOR SKILLS; NERVE FIBERS, MYELINATED; NONLINEAR DYNAMICS; PSYCHOLOGICAL TESTS; WHITE MATTER;

EID: 84904501267     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.22488     Document Type: Article

References (78)

1. Alexander-Bloch A, Giedd JN, Bullmore E (2013a): Imaging structural co-variance between human brain regions. Nat Rev Neurosci 14:322-336.
2. Alexander-Bloch A, Raznahan A, Bullmore E, Giedd J (2013b): The convergence of maturational change and structural covariance in human cortical networks. J Neurosci 33:2889-2899.
3. Avants BB, Tustison NJ, Song G, Cook PA, Klein A, Gee JC (2011): A reproducible evaluation of ANTs similarity metric performance in brain image registration. NeuroImage 54:2033-2044.
4. Beckmann CF, Smith SM (2004): Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans Med Imaging 23:137-152.
5. Benjamini Y, Hochberg Y (1995): Controlling the false discovery rate: A practical and powerful approach to multiple testing. J R Stat Soc Ser B Methodol 57:289-300.
6. Bergfield KL, Hanson KD, Chen K, Teipel SJ, Hampel H, Rapoport SI, Moeller JR, Alexander GE (2010): Age-related networks of regional covariance in MRI gray matter: Reproducible multivariate patterns in healthy aging. NeuroImage 49:1750-1759.
7. Blasi A, Mercure E, Lloyd-Fox S, Thomson A, Brammer M, Sauter D, Deeley Q, Barker GJ, Renvall V, Deoni S, Gasston D, Williams SCR, Johnson MH, Simmons A, Murphy DGM (2011): Early specialization for voice and emotion processing in the infant brain. Curr Biol 21:1220-1224.
8. Bosl W, Tierney A, Tager-Flusberg H, Nelson C (2011): EEG complexity as a biomarker for autism spectrum disorder risk. BMC Med 9:18.
9. Brody BA, Kinney HC, Kloman AS, Gilles FH (1987): Sequence of central nervous system myelination in human infancy. I. An autopsy study of myelination. J Neuropathol Exp Neurol 46:283-301.
10. Calhoun VD, Liu J, Adali T (2009): A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data. NeuroImage 45:S163-S172.
11. Catani M (2005): The rises and falls of disconnection syndromes. Brain 128:2224-2239.
12. Catani M, Mesulam MM, Jakobsen E, Malik F, Martersteck A, Wieneke C, Thompson CK, Schotten MT de, Dell'Acqua F, Weintraub S, Rogalski E (2013): A novel frontal pathway underlies verbal fluency in primary progressive aphasia. Brain 136:2619-2628.
13. Choe M, Ortiz-Mantilla S, Makris N, Gregas M, Bacic J, Haehn D, Kennedy D, Pienaar R, Caviness VS, Benasich AA, Grant PE (2012): Regional infant brain development: An MRI-based mor- phometric analysis in 3 to 13 month olds. Cereb Cortex 32:2100-2117.
14. Courchesne E, Carper R, Akshoomoff N (2003): Evidence of brain overgrowth in the first year of life in autism. JAMA 290:337-344.
15. Courchesne E, Campbell K, Solso S (2011): Brain growth across the life span in autism: Age-specific changes in anatomical pathology. Brain Res 1380:138-145.
16. Dean DC, Dirks H, O'Muircheartaigh J, Walker L, Jerskey BA, Lehman K, Han M, Waskiewicz N, Deoni SCL (2014): Pediatric neuroimaging using magnetic resonance imaging during non- sedated sleep. Pediatr Radiol 44:64-72.
17. Dehaene-Lambertz G, Dehaene S, Hertz-Pannier L (2002): Functional neuroimaging of speech perception in infants. Science 298:2013-2015.
18. Dehaene-Lambertz G, Montavont A, Jobert A, Allirol L, Dubois J, Hertz-Pannier L, Dehaene S (2010): Language or music, mother or Mozart? Structural and environmental influences on infants' language networks. Brain Lang 114:53-65.
19. Demerens C, Stankoff B, Logak M, Anglade P, Allinquant B, Couraud F, Zalc B, Lubetzki C (1996): Induction of myelination in the central nervous system by electrical activity. Proc Natl Acad Sci USA 93:9887-9892.
20. Deoni SCL (2011): Correction of main and transmit magnetic field (B0 and B1) inhomogeneity effects in multicomponent-driven equilibrium single-pulse observation of T1 and T2. Magn Reson Med 65:1021-1035.
21. Deoni SCL, Kolind SH. (In Press). Investigating the Stability of mcDESPOT myelin water fraction values derived using a stochastic region contraction approach. Magn Reson Med (2014).
22. Deoni SCL, Rutt BK, Arun T, Pierpaoli C, Jones DK (2008): Gleaning multicomponent T1 and T2 information from steady-state imaging data. Magn Reson Med 60:1372-1387.
23. Deoni SCL, Mercure E, Blasi A, Gasston D, Thomson A, Johnson M, Williams SCR, Murphy DGM (2011): Mapping infant brain myelination with magnetic resonance imaging. J Neurosci 31:784-791.
24. Deoni SCL, Matthews L, Kolind SH (2013): One component? Two components? Three? The effect of including a nonexchanging "free" water component in multicomponent driven equilibrium single pulse observation of T1 and T2. Magn Reson Med 70:147-154.
25. Deoni SCL, Dean DC III, O'Muircheartaigh J, Dirks H, Jerskey BA (2012b): Investigating white matter development in infancy and early childhood using myelin water faction and relaxation time mapping. NeuroImage 63:1038-1053.
26. Deoni SCL, Dean DC III, Piryatinsky I, O'Muircheartaigh J, Waskiewicz N, Lehman K, Han M, Dirks H (2013): Breastfeeding and early white matter development: A cross-sectional study. NeuroImage 82:77-86.
27. Evans AC (2006): The NIH MRI study of normal brain development. NeuroImage 30:184-202.
28. Evans AC (2013): Networks of anatomical covariance. NeuroImage 80:489-504.
29. Fields RD (2005): Myelination: An overlooked mechanism of synaptic plasticity? Neurosci Rev J Bringing Neurobiol Neurol Psychiatry 11:528-531.
30. Fields RD (2008): White matter in learning, cognition and psychiatric disorders. Trends Neurosci 31:361-370.
31. Flechsig PE (1920): Anatomie des menschlichen Gehirns und Rückenmarks auf myelogenetischer Grundlage. G. Thieme, Liepzig.
32. Ganger J, Brent MR (2004): Reexamining the vocabulary spurt. Dev Psychol 40:621.
33. Grossmann T, Friederici AD (2012): When during development do our brains get tuned to the human voice? Soc Neurosci 7:369-372.
34. Groves AR, Beckmann CF, Smith SM, Woolrich MW (2011): Linked independent component analysis for multimodal data fusion. NeuroImage 54:2198-2217.
35. Groves AR, Smith SM, Fjell AM, Tamnes CK, Walhovd KB, Douaud G, Woolrich MW, Westlye LT (2012): Benefits of multi-modal fusion analysis on a large-scale dataset: Life-span patterns of inter-subject variability in cortical morphometry and white matter microstructure. NeuroImage 63:365-380.
36. Hackman DA, Farah MJ (2009): Socioeconomic status and the developing brain. Trends Cogn Sci 13:65-73.
37. Hermoye L, Saint-Martin C, Cosnard G, Lee S-K, Kim J, Nassogne M-C, Menten R, Clapuyt P, Donohue PK, Hua K, Wakana S, Jiang H, van Zijl PCM, Mori S (2006): Pediatric diffusion tensor imaging: Normal database and observation of the white matter maturation in early childhood. NeuroImage 29:493-504.
38. Hurley SA, Mossahebi PM, Samsonov AA, Alexander AL, Deoni SC, Fisher R, Duncan ID, Field AS. Multicomponent relaxometry (mcDESPOT) in the Shaking Pup Model of dysmyelination; Proc. 18th Annual Meeting of the ISMRM. Stockholm, SWE. 2010. p. 4516.
39. Iverson JM (2010): Developing language in a developing body: The relationship between motor development and language development. J Child Lang 37:229-261.
40. Jones DK, Cercignani M (2010): Twenty-five pitfalls in the analysis of diffusion MRI data. NMR Biomed 23:803-820.
41. Karmiloff-Smith A (2010): Neuroimaging of the developing brain: Taking "developing" seriously. Hum Brain Mapp 31:934-941.
42. Kitzler HH, Su J, Zeineh M, Harper-Little C, Leung A, Kremenchutzky M, Deoni SC, Rutt BK (2012): Deficient MWF mapping in multiple sclerosis using 3D whole-brain multi-component relaxation MRI. NeuroImage 59:2670-2677.
43. Knickmeyer RC, Gouttard S, Kang C, Evans D, Wilber K, Smith JK, Hamer RM, Lin W, Gerig G, Gilmore JH (2008): A structural MRI study of human brain development from birth to 2 years. J Neurosci 28:12176-12182.
44. Knickmeyer RC, Wang J, Zhu H, Geng X, Woolson S, Hamer RM, Konneker T, Lin W, Styner M, Gilmore JH (in press). Common variants in psychiatric risk genes predict brain structure at birth. Cereb Cortex (2013).
45. Kolind SH, Laule C, Vavasour IM, Li DKB, Traboulsee AL, Mädler B, Moore GRW, Mackay AL (2008): Complementary information from multi-exponential T2 relaxation and diffusion tensor imaging reveals differences between multiple sclerosis lesions. NeuroImage 40:77-85.
46. Kolind SH, Matthews L, Johansen-Berg H, Leite MI, Williams SCR, Deoni S, Palace J (2012): Myelin water imaging reflects clinical variability in multiple sclerosis. NeuroImage 60:263-270.
47. Kolind SH, Sharma R, Knight S, Johansen-Berg H, Talbot K, Turner MR (2013): Myelin imaging in amyotrophic and primary lateral sclerosis. Amyotroph Lateral Scler Front Degener 14:562-573.
48. Lankford CL, Does MD (2013): On the inherent precision of mcDESPOT. Magn Reson Med 69:127-136.
49. Laule C, Leung E, Li DK, Traboulsee AL, Paty DW, MacKay AL, Moore GR (2006): Myelin water imaging in multiple sclerosis: Quantitative correlations with histopathology. Mult Scler 12:747-753.
50. Laule C, Kozlowski P, Leung E, Li DKB, MacKay AL, Moore GRW (2008): Myelin water imaging of multiple sclerosis at 7 T: Correlations with histopathology. NeuroImage 40:1575-1580.
51. Lebel C, Beaulieu C (2011): Longitudinal development of human brain wiring continues from childhood into adulthood. J Neurosci 31:10937-10947.
52. Li Y-O, Yang FG, Nguyen CT, Cooper SR, LaHue SC, Venugopal S, Mukherjee P (2012): Independent component analysis of DTI reveals multivariate microstructural correlations of white matter in the human brain. Hum Brain Mapp 33:1431-1451.
53. Mädler B, Drabycz SA, Kolind SH, Whittall KP, MacKay AL (2008): Is diffusion anisotropy an accurate monitor of myelination?: Correlation of multicomponent T2 relaxation and diffusion tensor anisotropy in human brain. Magn Reson Imaging 26:874-888.
54. Mechelli A, Friston KJ, Frackowiak RS, Price CJ (2005): Structural covariance in the human cortex. J Neurosci 25:8303-8310.
55. Mullen EM (1995): Mullen scales of early learning (AGS ed) (American Guidance Service, Circle Pines, MN).
56. Narr KL, Bilder RM, Toga AW, Woods RP, Rex DE, Szeszko PR, Robinson D, Sevy S, Gunduz-Bruce H, Wang Y-P, DeLuca H, Thompson PM (2005): Mapping cortical thickness and gray matter concentration in first episode schizophrenia. Cereb Cortex 15:708-719.
57. O'Muircheartaigh J, Vollmar C, Traynor C, Barker GJ, Kumari V, Symms MR, Thompson P, Duncan JS, Koepp MJ, Richardson MP (2011): Clustering probabilistic tractograms using independent component analysis applied to the thalamus. NeuroImage 54:2020-2032.
58. O'Muircheartaigh J, Dean DC, Dirks H, Waskiewicz N, Lehman K, Jerskey BA, Deoni SCL (2013): Interactions between white matter asymmetry and language during neurodevelopment. J Neurosci 33:16170-16177.
59. Paus T, Keshavan M, Giedd JN (2008): Why do many psychiatric disorders emerge during adolescence? Nat Rev Neurosci 9:947-957.
60. Pierce K (2011): Early functional brain development in autism and the promise of sleep fMRI. Brain Res 1380:162-174.
61. Poldrack RA (2010): Interpreting developmental changes in neuroimaging signals. Hum Brain Mapp 31:872-878.
62. Pujol J, Soriano-Mas C, Ortiz H, Sebastián-Gallés N, Losilla JM, Deus J (2006): Myelination of language-related areas in the developing brain. Neurology 66:339-343.
63. Raschle N, Zuk J, Ortiz-Mantilla S, Sliva DD, Franceschi A, Grant PE, Benasich AA, Gaab N (2012): Pediatric neuroimaging in early childhood and infancy: Challenges and practical guidelines. Ann N Y Acad Sci 1252:43-50.
64. Reilly S, Wake M, Ukoumunne OC, Bavin E, Prior M, Cini E, Conway L, Eadie P, Bretherton L (2010): Predicting language outcomes at 4 years of age: Findings from early language in Victoria study. Pediatrics 126:e1530-e1537.
65. Rimrodt SL, Peterson DJ, Denckla MB, Kaufmann WE, Cutting LE (2010): White matter microstructural differences linked to left perisylvian language network in children with dyslexia. Cortex 46:739-749.
66. Sadeghi N, Prastawa M, Fletcher PT, Wolff J, Gilmore JH, Gerig G (2013): Regional characterization of longitudinal DT-MRI to study white matter maturation of the early developing brain. NeuroImage 68:236-247.
67. Schumann CM, Bloss CS, Barnes CC, Wideman GM, Carper RA, Akshoomoff N, Pierce K, Hagler D, Schork N, Lord C, Courchesne E (2010): Longitudinal magnetic resonance imaging study of cortical development through early childhood in autism. J Neurosci 30:4419-4427.
68. Shaw P, Greenstein D, Lerch J, Clasen L, Lenroot R, Gogtay N, Evans A, Rapoport J, Giedd J (2006): Intellectual ability and cortical development in children and adolescents. Nature 440:676-679.
69. Shaw P, Eckstrand K, Sharp W, Blumenthal J, Lerch JP, Greenstein D, Clasen L, Evans A, Giedd J, Rapoport JL (2007): Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation. Proc Natl Acad Sci USA 104:19649-19654.
70. Shaw P, Gogtay N, Rapoport J (2010): Childhood psychiatric disorders as anomalies in neurodevelopmental trajectories. Hum Brain Mapp 31:917-925.
71. Sui J, Adali T, Yu Q, Chen J, Calhoun VD (2012): A review of multivariate methods for multimodal fusion of brain imaging data. J Neurosci Methods 204:68-81.
72. Whittall KP, Mackay AL, Graeb DA, Nugent RA, Li DKB, Paty DW (1997) In vivo measurement of T2 distributions and water contents in normal human brain. Magn Reson Med 37:34-43.
73. Wolff JJ, Gu H, Gerig G, Elison JT, Styner M, Gouttard S, Botteron KN, Dager SR, Dawson G, Estes AM, Evans AC, Hazlett HC, Kostopoulos P, McKinstry RC, Paterson SJ, Schultz RT, Zwaigenbaum L, Piven J (2012): Differences in white matter fiber tract development present from 6 to 24 months in infants with autism. Am J Psychiatry 169:589-600.
74. Xu L, Groth KM, Pearlson G, Schretlen DJ, Calhoun VD (2009a): Source-based morphometry: The use of independent component analysis to identify gray matter differences with application to schizophrenia. Hum Brain Mapp 30:711-724.
75. Xu L, Groth KM, Pearlson G, Schretlen DJ, Calhoun VD (2009b): Source-based morphometry: The use of independent component analysis to identify gray matter differences with application to schizophrenia. Hum Brain Mapp 30:711-724.
76. Xu L, Pearlson G, Calhoun VD (2009c): Joint source based morphometry identifies linked gray and white matter group differences. Neuroimage 44:777.
77. Yakovlev PI, Lecours AR (1967): The myelogenetic cycles of regional maturation in the brain. In Minowski (Ed.), Regional development of the the brain in early life, Blackwell, Oxford.
78. Zikopoulos B, Barbas H (2010): Changes in prefrontal axons may disrupt the network in autism. J Neurosci 30:14595-14609.