Developmental Connectomics from Infancy through Early Childhood

Trends in Neurosciences

Volumn 40, Issue 8, 2017, Pages 494-506

  Cao, Miao ^a   Huang, Hao ^b,c   He, Yong ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b CHILDREN S HOSPITAL OF PHILADELPHIA   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

connectome; developmental disorder; functional connectivity; graph theory; segregation and integration; structural connectivity

Indexed keywords

BRAIN DEVELOPMENT; BRAIN FUNCTION; BRAIN MATURATION; CONNECTOME; DEFAULT MODE NETWORK; DEVELOPMENTAL DISORDER; DIFFUSION TENSOR IMAGING; EARLY CHILDHOOD INTERVENTION; ELECTROENCEPHALOGRAPHY; FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEAR-INFRARED SPECTROSCOPY; HUMAN; INFANCY; INTEGRATION; MAGNETOENCEPHALOGRAPHY; NERVE CELL PLASTICITY; NEUROIMAGING; NEUROPHYSIOLOGY; PRIORITY JOURNAL; REVIEW; SEGREGATION ANALYSIS; BRAIN; DIAGNOSTIC IMAGING; GROWTH, DEVELOPMENT AND AGING; INFANT; NERVE TRACT; NEWBORN; PHYSIOLOGY; PRESCHOOL CHILD;

BRAIN; CHILD, PRESCHOOL; CONNECTOME; HUMANS; INFANT; INFANT, NEWBORN; NEURAL PATHWAYS;

EID: 85023776157     PISSN: 01662236     EISSN: 1878108X     Source Type: Journal    
DOI: 10.1016/j.tins.2017.06.003     Document Type: Review

References (100)

1. Tiedemann, E., Anatomie und Bildungsgeschichte des Gehirns im Foetus des Menschen. 1816, Steinische Buchhandlung.
2. Cao, M., et al. Toward developmental connectomics of the human brain. Front. Neuroanat., 10, 2016, 25.
3. Sporns, O., et al. The human connectome: a structural description of the human brain. PLoS Comput. Biol., 1, 2005, e42.
4. Kelly, C., et al. Characterizing variation in the functional connectome: promise and pitfalls. Trends Cogn. Sci. 16 (2012), 181–188.
5. Watts, D.J., Strogatz, S.H., Collective dynamics of ‘small-world​’ networks. Nature 393 (1998), 440–442.
6. Liao, X., et al. Small-world human brain networks: perspectives and challenges. Neurosci. Biobehav. Rev. 77 (2017), 286–300.
7. Fransson, P., et al. The functional architecture of the infant brain as revealed by resting-state fMRI. Cereb. Cortex 21 (2011), 145–154.
8. van den Heuvel, M.P., et al. The neonatal connectome during preterm brain development. Cereb. Cortex 25 (2015), 3000–3013.
9. Cao, M., et al. Early development of functional network segregation revealed by connectomic analysis of the preterm human brain. Cereb. Cortex 27 (2017), 1949–1963.
10. Gao, W., et al. Temporal and spatial evolution of brain network topology during the first two years of life. PLoS One, 6, 2011, e25278.
11. Nie, J., et al. Longitudinal development of cortical thickness, folding, and fiber density networks in the first 2 years of life. Hum. Brain Mapp. 35 (2014), 3726–3737.
12. Hagmann, P., et al. White matter maturation reshapes structural connectivity in the late developing human brain. Proc. Natl. Acad. Sci. U. S. A. 107 (2010), 19067–19072.
13. Fan, Y., et al. Brain anatomical networks in early human brain development. Neuroimage 54 (2011), 1862–1871.
14. Huang, H., et al. Development of human brain structural networks through infancy and childhood. Cereb. Cortex 25 (2015), 1389–1404.
15. Brown, C.J., et al. Structural network analysis of brain development in young preterm neonates. Neuroimage 101 (2014), 667–680.
16. Tymofiyeva, O., et al. A DTI-based template-free cortical connectome study of brain maturation. PLoS One, 8, 2013, e63310.
17. van den Heuvel, M.P., Sporns, O., Network hubs in the human brain. Trends Cogn. Sci. 17 (2013), 683–696.
18. Ball, G., et al. Rich-club organization of the newborn human brain. Proc. Natl. Acad. Sci. U. S. A. 111 (2014), 7456–7461.
19. Colizza, V., et al. Detecting rich-club ordering in complex networks. Nat. Phys. 2 (2006), 110–115.
20. van den Heuvel, M.P., Sporns, O., Rich-club organization of the human connectome. J. Neurosci. 31 (2011), 15775–15786.
21. Thomason, M.E., et al. Intrinsic functional brain architecture derived from graph theoretical analysis in the human fetus. PLoS One, 9, 2014, e94423.
22. Yap, P.T., et al. Development trends of white matter connectivity in the first years of life. PLoS One, 6, 2011, e24678.
23. Fair, D.A., et al. Functional brain networks develop from a ‘local to distributed’ organization. PLoS Comput. Biol., 5, 2009, e1000381.
24. Damaraju, E., et al. Functional connectivity in the developing brain: a longitudinal study from 4 to 9 months of age. Neuroimage 84 (2014), 169–180.
25. Thomason, M.E., et al. Age-related increases in long-range connectivity in fetal functional neural connectivity networks in utero. Dev. Cogn. Neurosci. 11 (2015), 96–104.
26. Omidvarnia, A., et al. Functional bimodality in the brain networks of preterm and term human newborns. Cereb. Cortex 24 (2014), 2657–2668.
27. Qiu, A., et al. Diffusion tensor imaging for understanding brain development in early life. Annu. Rev. Psychol. 66 (2015), 853–876.
28. Huang, H., Vasung, L., Gaining insight of fetal brain development with diffusion MRI and histology. Int. J. Dev. Neurosci. 32 (2014), 11–22.
29. Huang, H., et al. Anatomical characterization of human fetal brain development with diffusion tensor magnetic resonance imaging. J. Neurosci. 29 (2009), 4263–4273.
30. Takahashi, E., et al. Emerging cerebral connectivity in the human fetal brain: an MR tractography study. Cereb. Cortex 22 (2012), 455–464.
31. Huang, H., et al. White and gray matter development in human fetal, newborn and pediatric brains. Neuroimage 33 (2006), 27–38.
32. Dubois, J., et al. Asynchrony of the early maturation of white matter bundles in healthy infants: quantitative landmarks revealed noninvasively by diffusion tensor imaging. Hum. Brain Mapp. 29 (2008), 14–27.
33. Gao, W., et al. Temporal and spatial development of axonal maturation and myelination of white matter in the developing brain. Am. J. Neuroradiol. 30 (2009), 290–296.
34. Huang, H., et al. Coupling diffusion imaging with histological and gene expression analysis to examine the dynamics of cortical areas across the fetal period of human brain development. Cereb. Cortex 23 (2013), 2620–2631.
35. Yu, Q., et al. Structural development of human fetal and preterm brain cortical plate based on population-averaged templates. Cereb. Cortex 26 (2016), 4381–4391.
36. Ball, G., et al. Development of cortical microstructure in the preterm human brain. Proc. Natl. Acad. Sci. U. S. A. 110 (2013), 9541–9546.
37. Huttenlocher, P.R., Dabholkar, A.S., Regional differences in synaptogenesis in human cerebral cortex. J. Comp. Neurol. 387 (1997), 167–178.
38. Gilmore, J.H., et al. Longitudinal development of cortical and subcortical gray matter from birth to 2 years. Cereb. Cortex 22 (2012), 2478–2485.
39. Li, G., et al. Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces. Neuroimage 90 (2014), 266–279.
40. Lyall, A.E., et al. Dynamic development of regional cortical thickness and surface area in early childhood. Cereb. Cortex 25 (2015), 2204–2212.
41. Li, G., et al. Mapping region-specific longitudinal cortical surface expansion from birth to 2 years of age. Cereb. Cortex 23 (2013), 2724–2733.
42. Nie, J., et al. A computational growth model for measuring dynamic cortical development in the first year of life. Cereb. Cortex 22 (2012), 2272–2284.
43. Li, G., et al. Mapping longitudinal development of local cortical gyrification in infants from birth to 2 years of age. J. Neurosci. 34 (2014), 4228–4238.
44. Geng, X., et al. Structural and maturational covariance in early childhood brain development. Cereb. Cortex 27 (2017), 1795–1807.
45. Rilling, J.K., et al. The evolution of the arcuate fasciculus revealed with comparative DTI. Nat. Neurosci. 11 (2008), 426–428.
46. Hill, J., et al. Similar patterns of cortical expansion during human development and evolution. Proc. Natl. Acad. Sci. U. S. A. 107 (2010), 13135–13140.
47. Fransson, P., et al. Resting-state networks in the infant brain. Proc. Natl. Acad. Sci. U. S. A., 104, 2007 15531–15526.
48. Doria, V., et al. Emergence of resting state networks in the preterm human brain. Proc. Natl. Acad. Sci. U. S. A. 107 (2010), 20015–20020.
49. Gao, W., et al. Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects. Proc. Natl. Acad. Sci. U. S. A. 106 (2009), 6790–6795.
50. Jakab, A., et al. Fetal functional imaging portrays heterogeneous development of emerging human brain networks. Front. Hum. Neurosci., 8, 2014, 852.
51. Gao, W., et al. Functional network development during the first year: relative sequence and socioeconomic correlations. Cereb. Cortex 25 (2015), 2919–2928.
52. Gao, W., et al. Development of human brain cortical network architecture during infancy. Brain Struct. Funct. 220 (2015), 1173–1186.
53. Alcauter, S., et al. Development of thalamocortical connectivity during infancy and its cognitive correlations. J. Neurosci. 34 (2014), 9067–9075.
54. Toulmin, H., et al. Specialization and integration of functional thalamocortical connectivity in the human infant. Proc. Natl. Acad. Sci. U. S. A. 112 (2015), 6485–6490.
55. Chugani, H.T., A critical period of brain development: studies of cerebral glucose utilization with PET. Prev. Med. 27 (1998), 184–188.
56. Liang, X., et al. Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain. Proc. Natl. Acad. Sci. U. S. A. 110 (2013), 1929–1934.
57. Tomasi, D., et al. Energetic cost of brain functional connectivity. Proc. Natl. Acad. Sci. U. S. A. 110 (2013), 13642–13647.
58. Wang, Z., et al. Understanding structural-functional relationships in the human brain: a large-scale network perspective. Neuroscientist 21 (2015), 290–305.
59. Park, H.J., Friston, K., Structural and functional brain networks: from connections to cognition. Science, 342, 2013, 1238411.
60. Liao, X., et al. Spontaneous functional network dynamics and associated structural substrates in the human brain. Front. Hum. Neurosci., 9, 2015, 478.
61. Song, S., et al. Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nat. Neurosci. 3 (2000), 919–926.
62. Mueller, S., et al. Individual variability in functional connectivity architecture of the human brain. Neuron 77 (2013), 586–595.
63. Finn, E.S., et al. Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nat. Neurosci. 18 (2015), 1664–1671.
64. Liao, X., et al. Individual differences and time-varying features of modular brain architecture. NeuroImage 52 (2017), 94–107.
65. Gao, W., et al. Intersubject variability of and genetic effects on the brain's functional connectivity during infancy. J. Neurosci. 34 (2014), 11288–11296.
66. Lee, S.J., et al. Quantitative tract-based white matter heritability in twin neonates. Neuroimage 111 (2015), 123–135.
67. Graham, A.M., et al. Implications of newborn amygdala connectivity for fear and cognitive development at 6-months-of-age. Dev. Cogn. Neurosci. 18 (2016), 12–25.
68. Alcauter, S., et al. Frequency of spontaneous BOLD signal shifts during infancy and correlates with cognitive performance. Dev. Cogn. Neurosci. 12 (2015), 40–50.
69. Kuhn-Popp, N., et al. Left hemisphere EEG coherence in infancy predicts infant declarative pointing and preschool epistemic language. Soc. Neurosci. 11 (2016), 49–59.
70. Ball, G., et al. Thalamocortical connectivity predicts cognition in children born preterm. Cereb. Cortex 25 (2015), 4310–4318.
71. Wee, C.Y., et al. Neonatal neural networks predict children behavioral profiles later in life. Hum. Brain Mapp. 38 (2017), 1362–1373.
72. Ball, G., et al. The influence of preterm birth on the developing thalamocortical connectome. Cortex 49 (2013), 1711–1721.
73. Kwon, S.H., et al. Adaptive mechanisms of developing brain: cerebral lateralization in the prematurely-born. Neuroimage 108 (2015), 144–150.
74. Thompson, D.K., et al. Structural connectivity relates to perinatal factors and functional impairment at 7 years in children born very preterm. Neuroimage 134 (2016), 328–337.
75. Scheinost, D., et al. Preterm birth alters neonatal, functional rich club organization. Brain Struct. Funct. 221 (2016), 3211–3222.
76. Smyser, C.D., et al. Resting-state network complexity and magnitude are reduced in prematurely born infants. Cereb. Cortex 26 (2016), 322–333.
77. Batalle, D., et al. Early development of structural networks and the impact of prematurity on brain connectivity. Neuroimage 149 (2017), 379–392.
78. Kim, D.J., et al. Longer gestation is associated with more efficient brain networks in preadolescent children. Neuroimage 100 (2014), 619–627.
79. Salzwedel, A.P., et al. Prenatal drug exposure affects neonatal brain functional connectivity. J. Neurosci. 35 (2015), 5860–5869.
80. Li, Z., et al. Prenatal cocaine exposure alters functional activation in the ventral prefrontal cortex and its structural connectivity with the amygdala. Psychiatry Res. 213 (2013), 47–55.
81. Grewen, K., et al. Functional connectivity disruption in neonates with prenatal marijuana exposure. Front. Hum. Neurosci., 9, 2015, 601.
82. Kim, D.J., et al. Prenatal maternal cortisol has sex-specific associations with child brain network properties. Cereb. Cortex, 2016, 10.1093/cercor/bhw303 Published online September 24, 2016.
83. Graham, A.M., et al. Early life stress is associated with default system integrity and emotionality during infancy. J. Child Psychol. Psychiatry 56 (2015), 1212–1222.
84. Qiu, A., et al. Prenatal maternal depression alters amygdala functional connectivity in 6-month-old infants. Transl. Psychiatry, 5, 2015, e508.
85. Soe, N.N., et al. Pre- and post-natal maternal depressive symptoms in relation with infant frontal function, connectivity, and behaviors. PLoS One, 11, 2016, e0152991.
86. Di Martino, A., et al. Unraveling the miswired connectome: a developmental perspective. Neuron 83 (2014), 1335–1353.
87. Keehn, B., et al. Functional connectivity in the first year of life in infants at-risk for autism: a preliminary near-infrared spectroscopy study. Front. Hum. Neurosci., 7, 2013, 444.
88. Ouyang, M., et al. Atypical age-dependent effects of autism on white matter microstructure in children of 2–7 years. Hum. Brain Mapp. 37 (2016), 819–832.
89. Lewis, J.D., et al. Network inefficiencies in autism spectrum disorder at 24 months. Transl. Psychiatry, 4, 2014, e388.
90. Hughes, E.J., et al. A dedicated neonatal brain imaging system. Magn. Reson. Med., 2016, 10.1002/mrm.26462 Published online September 19, 2016.
91. Ball, G., et al. An optimised tract-based spatial statistics protocol for neonates: applications to prematurity and chronic lung disease. Neuroimage 53 (2010), 94–102.
92. van den Heuvel, M.I., Thomason, M.E., Functional connectivity of the human brain in utero. Trends Cogn. Sci. 20 (2016), 931–939.
93. Power, J.D., et al. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59 (2012), 2142–2154.
94. Gao, W., et al. Functional connectivity of the infant human brain: plastic and modifiable. Neuroscientist 23 (2017), 169–184.
95. Oishi, K., et al. Multi-contrast human neonatal brain atlas: application to normal neonate development analysis. Neuroimage 56 (2011), 8–20.
96. Fonov, V., et al. Unbiased average age-appropriate atlases for pediatric studies. Neuroimage 54 (2011), 313–327.
97. Wright, R., et al. Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: application of spectral surface matching. Neuroimage 120 (2015), 467–480.
98. Glasser, M.F., et al. A multi-modal parcellation of human cerebral cortex. Nature 536 (2016), 171–178.
99. Mishra, V., et al. Differences of inter-tract correlations between neonates and children around puberty: a study based on microstructural measurements with DTI. Front. Hum. Neurosci., 7, 2013, 721.
100. Xia, M., He, Y., Functional connectomics from a ‘big data’ perspective. Neuroimage, 2017, 10.1016/j.neuroimage.2017.02.031 Published online February 17, 2017.