Development of brain networks and relevance of environmental and genetic factors: A systematic review

Neuroscience and Biobehavioral Reviews

Volumn 71, Issue , 2016, Pages 215-239

  Richmond, Sally ^a   Johnson, Katherine A ^a   Seal, Marc L ^b,c   Allen, Nicholas B ^a,d   Whittle, Sarah ^a,c  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b MURDOCH CHILDREN'S RESEARCH INSTITUTE   (Australia)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d UNIVERSITY OF OREGON   (United States)

Author keywords

Brain networks; Connectivity; Development; Environment; Genetics; Neuroimaging

Indexed keywords

ADOLESCENCE; AGE; BRAIN DEVELOPMENT; BRAIN SIZE; CORTICAL THICKNESS (BRAIN); COVARIANCE; DIFFUSION WEIGHTED IMAGING; ENVIRONMENTAL FACTOR; FRACTIONAL ANISOTROPY; FUNCTIONAL CONNECTIVITY; HEREDITY; HERITABILITY; HUMAN; NEUROANATOMY; PRENATAL DEVELOPMENT; PRIORITY JOURNAL; REVIEW; SYSTEMATIC REVIEW; WHITE MATTER; BRAIN; BRAIN MAPPING; NUCLEAR MAGNETIC RESONANCE IMAGING;

BRAIN; BRAIN MAPPING; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; MAGNETIC RESONANCE IMAGING;

EID: 84986559315     PISSN: 01497634     EISSN: 18737528     Source Type: Journal    
DOI: 10.1016/j.neubiorev.2016.08.024     Document Type: Review

References (158)

1. Alarcón, G., Cservenka, A., Rudolph, M.D., Fair, D.A., Nagel, B.J., Developmental sex differences in resting state functional connectivity of amygdala sub-regions. Neuroimage 115 (2015), 235–244, 10.1016/j.neuroimage.2015.04.013.
2. Alcauter, S., Lin, W., Smith, K.J., Short, S.J., Goldman, B.D., Reznick, S.J., Gilmore, J.H., Gao, W., Development of thalamocortical connectivity during infancy and its cognitive correlations. J. Neurosci. 34:27 (2014), 9067–9075, 10.1523/JNEUROSCI.0796-14.2014.
3. Alexander-Bloch, A., Giedd, J.N., Bullmore, E., Imaging structural co-variance between human brain regions. Nat. Rev. Neurosci. 14:5 (2013), 322–336, 10.1038/nrn3465.
4. Alexander-Bloch, A., Raznahan, A., Bullmore, E., Giedd, J., The convergence of maturational change and structural covariance in human cortical networks. J. Neurosci. 33:7 (2013), 2889–2899 ( http://search.proquest.com.ezp.lib.unimelb.edu.au/docview/1324550436?accountid=12372).
5. Andellini, M., Cannatà, V., Gazzellini, S., Bernardi, B., Napolitano, A., Test-retest reliability of graph metrics of resting state MRI functional brain networks: a review. J. Neurosci. Methods 253 (2015), 183–192, 10.1016/j.jneumeth.2015.05.020.
6. Baker, S.T.E., Lubman, D.I., Yücel, M., Allen, N.B., Whittle, S, Fulcher, B.D., Zalesky, A., Fornito, A., Developmental changes in brain network hub connectivity in late adolescence. J. Neurosci. 35:24 (2015), 9078–9087, 10.1523/JNEUROSCI.5043-14.2015.
7. Ball, G., Aljabar, P., Zebari, S., Tusor, N., Arichi, T., Merchant, N., Robinson, E.C., Ogundipe, E., Rueckert, D., Edwards, A.D., Counsell, S.J., Rich-club organization of the newborn human brain. Proc. Natl. Acad. Sci. U. S. A. 111:20 (2014), 7456–7461, 10.1073/pnas.1324118111.
8. Beaulieu, C., The basis of anisotropic water diffusion in the nervous system – a technical review. NMR Biomed. 15:7–8 (2002), 435–455, 10.1002/nbm.782.
9. Belsky, J., de Haan, M., Annual Research Review: Parenting and children's brain development: the end of the beginning. J. Child Psychol. Psychiatry 52:4) (2011), 409–428.
10. Belsky, J., Jonassaint, C., Pluess, M., Stanton, M., Brummett, B., Williams, R., Vulnerability genes or plasticity genes?. Mol. Psychiatry 14:8 (2009), 746–754, 10.1038/mp.2009.44.
11. Benes, F.M., Turtle, M., Khan, Y., Farol, P., Myelination of a key relay zone in the hippocampal formation occurs in the human brain during childhood, adolescence, and adulthood. Arch. Gen. Psychiatry 51:6 (1994), 477–484, 10.1001/archpsyc.1994.03950060041004.
12. Betzel, R.F., Byrge, L., He, Y., Goñi, J., Zuo, X.N., Sporns, O., Changes in structural and functional connectivity among resting-state networks across the human lifespan. Neuroimage 102:P2 (2014), 345–357, 10.1016/j.neuroimage.2014.07.067.
13. Blokland, G.A.M., De Zubicaray, G.I., McMahon, K.L., Wright, M.J., Genetic and environmental influences on neuroimaging phenotypes: a meta-analytical perspective on twin imaging studies. Twin Res. Hum. Genet. 15:3 (2012), 351–371, 10.1016/j.jad.2011.08.001.
14. Bohlken, M.M., Mandl, R.C.W., Brouwer, R.M., van den Heuvel, M.P., Hedman, A.M., Kahn, R.S., Hulshoff Pol, H.E., Heritability of structural brain network topology: a DTI study of 156 twins. Hum. Brain Mapp., 2014, 10.1002/hbm.22550 n/a–n/a.
15. Brouwer, R.M., Mandl, R.C.W., Peper, J.S., van Baal, G.C.M., Kahn, R.S., Boomsma, D.I., Hulshoff Pol, H.E., Heritability of DTI and MTR in nine-year-old children. Neuroimage 53:3 (2010), 1085–1092, 10.1016/j.neuroimage.2010.03.017.
16. Brouwer, R.M., Mandl, R., Schnack, H.G., Soelen, I.L.C., Baal, G.C., Peper, J.S., Kahn, R., Boomsma, D.I., Pol, H., White matter development in early puberty: A longitudinal volumetric and diffusion tensor imaging twin study. PLoS ONE, 7(4), 2012.
17. Bullmore, E., Sporns, O., Complex brain networks: graph theoretical analysis of structural and functional systems (Nature Reviews Neuroscience (2009) 10, (186–198)). Nat. Rev. Neurosci., 10(4), 2009, 312, 10.1038/nrn2618.
18. Bullmore, E., Sporns, O., The economy of brain network organization. Nat. Rev. Neurosci. 13:5 (2012), 336–349, 10.1038/nrn3214.
19. Cao, M., Wang, J.H., Dai, Z.J., Cao, X.Y., Jiang, L.L., Fan, F.M., Song, X.W., Xia, M.R., Shu, N., Dong, Q., Milham, M.P., Castellanos, F.X., Zuo, X.N., He, Y., Topological organization of the human brain functional connectome across the lifespan. Dev. Cognit. Neurosci. 7 (2014), 76–93, 10.1016/j.dcn.2013.11.004.
20. Carlisi, C.O., Pavletic, N., Ernst, M., New perspectives on neural systems models of adolescent behavior: Functional brain connectivity. Neuropsychiatrie de l'Enfance et de l'Adolescence 61:4 (2013), 209–218.
21. Chiang, M.C., McMahon, K.L., de Zubicaray, G.I., Martin, N.G., Hickie, I., Toga, A.W., Wright, M.J., Thompson, P.M., Genetics of white matter development: a DTI study of 705 twins and their siblings aged 12 to 29. Neuroimage 54:3 (2011), 2308–2317, 10.1016/j.neurobiolaging.2010.01.014.
22. Collin, G., Van Den Heuvel, M.P., The ontogeny of the human connectome: development and dynamic changes of brain connectivity across the life span. Neuroscientist 19:6 (2013), 616–628, 10.1177/1073858413503712.
23. Craddock, R.C., James, G.A., Holtzheimer, P.E., Hu, X.P., Mayberg, H.S., A whole brain fMRI atlas generated via spatially constrained spectral clustering. Hum. Brain Mapp. 33:8 (2012), 1914–1928, 10.1002/hbm.21333.
24. Damaraju, E., Caprihan, A., Lowe, J.R., Allen, E.A., Calhoun, V.D., Phillips, J.P., Functional connectivity in the developing brain: a longitudinal study from 4 to 9 months of age. Neuroimage 84 (2014), 169–180, 10.1016/j.neuroimage.2013.08.038.
25. Dennis, E.L., Thompson, P.M., Typical and atypical brain development: a review of neuroimaging studies. Dialogues Clin. Neurosci. 15:3 (2013), 359–384.
26. Dennis, E.L., Jahanshad, N., McMahon, K.L., de Zubicaray, G.I., Martin, N.G., Hickie, I.B., Toga, A.W., Wright, M.J., Thompson, P.M., Development of brain structural connectivity between ages 12 and 30: a 4-Tesla diffusion imaging study in 439 adolescents and adults. Neuroimage 64:1 (2013), 161–684.
27. Dennis, E.L., Jahanshad, N., McMahon, K.L., de Zubicaray, G.I., Martin, N.G., Hickie, I.B., Toga, A.W., Wright, M.J., Thompson, P.M., Development of insula connectivity between ages 12 and 30 revealed by high angular resolution diffusion imaging. Hum. Brain Mapp. 35:4 (2014), 1790–1800, 10.1002/hbm.22292.
28. Desikan, R.S., Ségonne, F., Fischl, B., Quinn, B.T., Dickerson, B.C., Blacker, D., Buckner, R.L., Dale, A.M., Maguire, R.P., Hyman, B.T., Albert, M.S., Killiany, R.J., An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31:3 (2006), 968–980, 10.1016/j.neuroimage.2006.01.021.
29. DiMartino, A., Fair, D.A., Kelly, C., Satterthwaite, T.D., Castellanos, F.X., Thomason, M.E., Craddock, R.C., Luna, B., Leventhal, B.L., Zuo, X.N., Milham, M.P., Unraveling the miswired connectome: a developmental perspective. Neuron 83:6 (2014), 1335–1353, 10.1016/j.neuron.2014.08.050.
30. Dosenbach, N.U.F., Nardos, B., Cohen, A.L., Fair, D.A., Power, J.D., Church, J.A., Nelson, S.M., Wig, G.S., Vogel, A.C., Lessov-Schlaggar, C.N., Barnes, K.A., Dubis, J.W., Feczko, E., Coalson, R.S., Pruett, J.R. Jr, Barch, D.M., Petersen, S.E., Schlaggar, B.L., Prediction of individual brain maturity using fMRI. Science 329:5997 (2010), 1358–1361.
31. Douet, V., Chang, L., Cloak, C., Ernst, T., Genetic influences on brain developmental trajectories on neuroimaging studies: from infancy to young adulthood. Brain Imaging Behav. 8:2 (2014), 234–250, 10.1016/j.brainres.2006.03.108.
32. Evans, A.C., Networks of anatomical covariance. Neuroimage 80 (2013), 489–504, 10.1016/j.neuroimage.2013.05.054.
33. Fair, D.A., Dosenbach, N.U.F., Church, J.A., Cohen, A.L., Brahmbhatt, S., Miezin, F.M., Barch, D.M., Raichle, M.E., Petersen, S.E., Schlaggar, B.L., Development of distinct control networks through segregation and integration. Proc. Natl. Acad. Sci. U. S. A. 104:33 (2007), 13507–13512, 10.1073/pnas.0705843104.
34. Fair, D.A., Cohen, A.L., Power, J.D., Dosenbach, N.U.F., Church, J.A., Miezin, F.M., Schlaggar, B.L., Petersen, S.E., Functional brain networks develop from a local to distributed organization. PLoS Comput. Biol., 5(5), 2009, 10.1371/journal.pcbi.1000381.
35. Fan, Y., Shi, F., Smith, J.K., Lin, W., Gilmore, J.H., Shen, D., Brain anatomical networks in early human brain development. Neuroimage 54:3 (2011), 1862–1871, 10.1016/j.neuroimage.2010.07.025.
36. Farrant, K., Uddin, L.Q., Asymmetric development of dorsal and ventral attention networks in the human brain. Dev. Cognit. Neurosci. 12 (2015), 165–174, 10.1016/j.dcn.2015.02.001.
37. Fischer, F.U., Wolf, D., Scheurich, A., Fellgiebel, A., Association of structural global brain network properties with intelligence in normal aging. PLoS One, 9(1), 2014, 10.1371/journal.pone.0086258.
38. Fischl, B., Salat, D.H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., Van Der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., Montillo, A., Makris, N., Rosen, B., Dale, A.M., Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33:3 (2002), 341–355, 10.1016/S0896-6273(02)00569-X.
39. Fornito, A., Zalesky, A., Bassett, D.S., Meunier, D., Ellison-Wright, I., Yücel, M., Wood, S.J., Shaw, K., O'Connor, J., Nertney, D., Mowry, B.J., Pantelis, C., Bullmore, E.T., Genetic influences on cost-efficient organization of human cortical functional networks. J. Neurosci. 31:9 (2011), 3261–3270, 10.1523/JNEUROSCI.4858-10.2011.
40. Fornito, A., Zalesky, A., Breakspear, M., Graph analysis of the human connectome: promise, progress, and pitfalls. Neuroimage 80 (2013), 426–444, 10.1016/j.neuroimage.2013.04.087.
41. Fransson, P., Åden, U., Blennow, M., Lagercrantz, H., The functional architecture of the infant brain as revealed by resting-state fMRI. Cereb. Cortex 21:1 (2011), 145–154, 10.1093/cercor/bhq071.
42. Gao, W., Gilmore, J.H., Giovanello, K.S., Smith, J.K., Shen, D., Zhu, H., Lin, W., Temporal and spatial evolution of brain network topology during the first two years of life. PLoS One, 6(9), 2011, 10.1371/journal.pone.0025278.
43. Gao, W., Alcauter, S., Smith, J.K., Gilmore, J.H., Lin, W., Development of human brain cortical network architecture during infancy. Brain Struct. Funct., 2014, 1–14, 10.1007/s00429-014-0710-3.
44. Gao, W., Elton, A., Zhu, H., Alcauter, S., Smith, J.K., Gilmore, J.H., Lin, W., Intersubject variability of and genetic effects on the Brain's functional connectivity during infancy. J. Neurosci. 34:34 (2014), 11288–11296, 10.1523/JNEUROSCI.5072-13.2014.
45. Giedd, J.N., Stockman, M., Weddle, C., Liverpool, M., Alexander-Bloch, A., Wallace, G.L., Lee, N.R., Lalonde, F., Lenroot, R.K., Anatomic magnetic resonance imaging of the developing child and adolescent brain and effects of genetic variation. Neuropsychol. Rev. 20:4 (2010), 349–361, 10.1007/s11065-010-9151-9.
46. Gilmore, J.H., Schmitt, J.E., Knickmeyer, R.C., Smith, J.K., Lin, W., Styner, M., Gerig, G., Neale, M.C., Genetic and environmental contributions to neonatal brain structure: a twin study. Hum. Brain Mapp. 31:8 (2010), 1174–1182, 10.1002/hbm.20926.
47. Girvan, M., Newman, M.E.J., Community structure in social and biological networks. Proc. Natl. Acad. Sci. U. S. A. 99:12 (2002), 7821–7826, 10.1073/pnas.122653799.
48. Glahn, D.C., Winkler, A.M., Kochunov, P., Almasy, L., Duggirala, R., Carless, M.A., Curran, J.C., Olvera, R.L., Laird, A.R., Smith, S.M., Beckmann, C.F., Fox, P.T., Blangero, J., Genetic control over the resting brain. Proc. Natl. Acad. Sci. U. S. A. 107:3 (2010), 1223–1228, 10.1073/pnas.0909969107.
49. Gong, G., He, Y., Chen, Z.J., Evans, A.C., Convergence and divergence of thickness correlations with diffusion connections across the human cerebral cortex. Neuroimage 59:2 (2012), 1239–1248.
50. Grayson, D.S., Ray, S., Carpenter, S., Iyer, S., Dias, T.G.C., Stevens, C., Nigg, J.T., Fair, D.A., Structural and functional rich club organization of the brain in children and adults. PLoS One, 9(2), 2014, 10.1371/journal.pone.0088297.
51. Greene, D.J., Laumann, T.O., Dubis, J.W., Ihnen, S.K., Neta, M., Power, J.D., Pruett, J.R. Jr, Black, K.J., Schlaggar, B.L., Developmental changes in the organization of functional connections between the basal ganglia and cerebral cortex. J. Neurosci. 34:17 (2014), 5842–5854, 10.1016/j.neuroimage.2013.07.035.
52. Gross, J.L., Yellen, J., Zhang, P., Handbook of Graph Theory. 2nd ed., 2013 (Retrieved from http://UNIMELB.eblib.com.au/patron/FullRecord.aspx?p=1407569).
53. Hagmann, P., Sporns, O., Madan, N., Cammoun, L., Pienaar, R., Wedeen, V.J., Meuli, R., Thiran, J.P., Grant, P.E., White matter maturation reshapes structural connectivity in the late developing human brain. Proc. Natl. Acad. Sci. U. S. A. 107:44 (2010), 19067–19072, 10.1073/pnas.1009073107.
54. Hagmann, P., Grant, P.E., Fair, D.A., MR connectomics: a conceptual framework for studying the developing brain. Front. Syst. Neurosci., 2012, 10.3389/fnsys.2012.00043.
55. Hallquist, M.N., Hwang, K., Luna, B., The nuisance of nuisance regression: spectral misspecification in a common approach to resting-state fMRI preprocessing reintroduces noise and obscures functional connectivity. Neuroimage 82 (2013), 208–225, 10.1016/j.neuroimage.2013.05.116.
56. Hensch, T.K., Critical period regulation. Annu. Rev. Neurosci. 27 (2004), 549–579, 10.1146/annurev.neuro.27.070203.144327.
57. Hoff, G.E.A.J., Van den Heuvel, M.P., Benders, M.J.N.L., Kersbergen, K.J., De Vries, L.S., On development of functional brain connectivity in the young brain. Front. Hum. Neurosci., 2013, 10.1371/journal.pone.0025701.
58. Huang, H., Shu, N., Mishra, V., Jeon, T., Chalak, L., Wang, Z.J., Rollins, N., Gong, G., Cheng, H., Peng, Y., Dong, Q., He, Y., Development of human brain structural networks through infancy and childhood. Cereb. Cortex 25:5 (2015), 1389–1404, 10.1093/cercor/bht335.
59. Huttenlocher, P.R., Dabholkar, A.S., Regional differences in synaptogenesis in human cerebral cortex. J. Comp. Neurol. 387:2 (1997), 167–178, 10.1002/(SICI)1096-9861(19971020)387:2<167:AID-CNE1>3.0.CO;2-Z.
60. Hwang, K., Hallquist, M.N., Luna, B., The development of hub architecture in the human functional brain network. Cereb. Cortex 23:10 (2013), 2380–2393.
61. Ingalhalikar, M., Smith, A., Parker, D., Satterthwaite, T.D., Elliott, M.A., Ruparel, K., Hakonarson, H., Gur, R.E., Gur, R.C., Verma, R., Sex differences in the structural connectome of the human brain. Proc. Natl. Acad. Sci. U. S. A. 111:2 (2014), 823–828.
62. Jakab, A., Schwartz, E., Kasprian, G., Gruber, G.M., Prayer, D., Schöpf, V., Langs, G., Fetal functional imaging portrays heterogeneous development of emerging human brain networks. Front. Hum. Neurosci., 8(October), 2014, 10.3389/fnhum.2014.00852.
63. Jakab, A., Kasprian, G., Schwartz, E., Gruber, G.M., Mitter, C., Prayer, D., Schöpf, V., Langs, G., Disrupted developmental organization of the structural connectome in fetuses with corpus callosum agenesis. Neuroimage 111 (2015), 277–288, 10.1016/j.neuroimage.2015.02.038.
64. Jeurissen, B., Leemans, A., Tournier, J.D., Jones, D.K., Sijbers, J., Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging. Hum. Brain Mapp. 34:11 (2013), 2747–2766, 10.1002/hbm.22099.
65. Kazemi, K., Moghaddam, H.A., Grebe, R., Gondry-Jouet, C., Wallois, F., A neonatal atlas template for spatial normalization of whole-brain magnetic resonance images of newborns: preliminary results. Neuroimage 37:2 (2007), 463–473, 10.1016/j.neuroimage.2007.05.004.
66. Khundrakpam, B., Reid, A., Brauer, J., Carbonell, F., Lewis, J., Ameis, S., Karama, S., Lee, J., Chen, Z., Das, S., Evans, A.C., Developmental changes in organization of structural brain networks. Cereb. Cortex 23:9 (2013), 2072–2085.
67. Kim, D.J., Davis, E.P., Sandman, C.A., Sporns, O., O'Donnell, B.F., Buss, C., Hetrick, W.P., Children's intellectual ability is associated with structural network integrity. Neuroimage 124 (2016), 550–556, 10.1016/j.neuroimage.2015.09.012.
68. Kremen, W.S., O'Brien, R.C., Panizzon, M.S., Prom-Wormley, E., Eaves, L.J., Eisen, S.A., Eyler, L.T., Hauger, R.L., Fennema-Notestine, C., Fischl, B., Grant, M.D., Hellhammer, D.H., Jak, A.J., Jacobson, K.C., Jernigan, T.L., Lupien, S.J., Lyons, M.J., Mendoza, S.P., Neale, M.C., Seidman, L.J., Thermenos, H.W., Tsuang, M.T., Dale, A.M., Franz, C.E., Salivary cortisol and prefrontal cortical thickness in middle-aged men: a twin study. Neuroimage 53:3 (2010), 1093–1102.
69. Krishnadas, R., Kim, J., McLean, J., Batty, D.G., McLean, J.S., Millar, K., Packard, C.J., Cavanagh, J., The envirome and the connectome: exploring the structural noise in the human brain associated with socioeconomic deprivation. Front. Hum. Neurosci., 2013, 10.1371/journal.pcbi.0030017.
70. Latora, V., Marchiori, M., Efficient behavior of small-world networks. Phys. Rev. Lett., 87(19), 2001 198701/198701–198701/198704.
71. Le Bihan, D., Johansen-Berg, H., Diffusion MRI at 25: exploring brain tissue structure and function. Neuroimage 61:2 (2012), 324–341, 10.1016/j.neuroimage.2011.11.006.
72. Le Bihan, D., Poupon, C., Amadon, A., Lethimonnier, F., Artifacts and pitfalls in diffusion MRI. J. Magn. Reson. Imaging 24:3 (2006), 478–488, 10.1002/jmri.20683.
73. Lenroot, R.K., Giedd, J.N., Annual research review: developmental considerations of gene by environment interactions. J. Child Psychol. Psychiatry 52:4 (2011), 429–441 ( http://dx.doi.org/10.1111/j.1469-7610.2011.02381.x).
74. Lenroot, R.K., Schmitt, J.E., Ordaz, S.J., Wallace, G.L., Neale, M.C., Lerch, J.P., Kendler, K.S., Evans, A.C., Giedd, J.N., Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence. Hum. Brain Mapp. 30:1 (2009), 163–174.
75. Lerch, J.P., Worsley, K., Shaw, W.P., Greenstein, D.K., Lenroot, R.K., Giedd, J., Evans, A.C., Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI. Neuroimage 31:3 (2006), 993–1003, 10.1016/j.neuroimage.2006.01.042.
76. Li, Y., Liu, Y., Li, J., Qin, W., Li, K., Yu, C., Jiang, T., Brain anatomical network and intelligence. PLoS Comput. Biol., 5(5), 2009, 10.1371/journal.pcbi.1000395.
77. Lim, S., Han, C.E., Uhlhaas, P.J., Kaiser, M., Preferential detachment during human brain development: age- and sex-specific structural connectivity in diffusion tensor imaging (DTI) data. Cereb. Cortex 25:6 (2015), 1477–1489, 10.1093/cercor/bht333.
78. Lupien, S.J., McEwen, B.S., Gunnar, M.R., Heim, C., Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nat. Rev. Neurosci. 10:6 (2009), 434–445, 10.1038/nrn2639.
79. Marsh, R., Gerber, A.J., Peterson, B.S., Neuroimaging studies of normal brain development and their relevance for understanding childhood neuropsychiatric disorders. J. Am. Acad. Child Adolesc. Psychiatry 47:11 (2008), 1233–1251, 10.1097/CHI.0b013e318185e703.
80. McLeod, K.R., Langevin, L.M., Goodyear, B.G., Dewey, D., Functional connectivity of neural motor networks is disrupted in children with developmental coordination disorder and attention-deficit/hyperactivity disorder. NeuroImage Clin. 4 (2014), 566–575, 10.1016/j.nicl.2014.03.010.
81. Menary, K., Collins, P.F., Porter, J.N., Muetzel, R., Olson, E.A., Kumar, V., Steinbach, M., Lim, K.O., Luciana, M., Associations between cortical thickness and general intelligence in children, adolescents and young adults. Intelligence 41:5 (2013), 597–606.
82. Menon, V., Developmental pathways to functional brain networks: emerging principles. Trends Cogn. Sci. 17:12 (2013), 627–640.
83. Mišić, B., Sporns, O., From regions to connections and networks: new bridges between brain and behavior. Curr. Opin. Neurobiol. 40 (2016), 1–7, 10.1016/j.conb.2016.05.003.
84. Miller, D.J., Duka, T., Stimpson, C.D., Schapiro, S.J., Baze, W.B., McArthur, M.J., Fobbs, A.J., Sousa, A.M.M., Sěstan, N., Wildman, D.E., Lipovich, L., Kuzawa, C.W., Hof, P.R., Sherwood, C.C., Prolonged myelination in human neocortical evolution. Proc. Natl. Acad. Sci. U. S. A. 109:41 (2012), 16480–16485, 10.1073/pnas.1117943109.
85. Mills, K.L., Tamnes, C.K., Methods and considerations for longitudinal structural brain imaging analysis across development. Dev. Cognit. Neurosci. 9 (2014), 172–190.
86. Mills, K.L., Lalonde, K., Clasen, L.S., Giedd, J.N., Blakemore, S.J., Developmental changes in the structure of the social brain in late childhood and adolescence. Soc. Cogn. Affect. Neurosci. 9:1 (2014), 123–131.
87. Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G., Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int. J. Surg. 8:5 (2010), 336–341, 10.1016/j.ijsu.2010.02.007.
88. Mueller, S., Wang, D., Fox, M.D., Yeo, B.T.T., Sepulcre, J., Sabuncu, M.R., Shafee, R., Lu, J., Liu, H., Individual variability in functional connectivity architecture of the human brain. Neuron 77:3 (2013), 586–595, 10.1016/j.neuron.2012.12.028.
89. Newman, M.E.J., Modularity and community structure in networks. Proc. Natl. Acad. Sci. U. S. A. 103:23 (2006), 8577–8582, 10.1073/pnas.0601602103.
90. Nie, J., Li, G., Shen, D., Development of cortical anatomical properties from early childhood to early adulthood. Neuroimage 76 (2013), 216–224.
91. Panizzon, M.S., Fennema-Notestine, C., Eyler, L.T., Jernigan, T.L., Prom-Wormley, E., Neale, M., Jacobson, K., Lyons, M.J., Grant, M.D., Franz, C.E., Xian, H., Tsuang, M., Fischl, B., Seidman, L., Dale, A., Kremen, W.S., Distinct genetic influences on cortical surface area and cortical thickness. Cereb. Cortex 19:11 (2009), 2728–2735.
92. Patel, A.X., Kundu, P., Rubinov, M., Jones, P.S., Vértes, P.E., Ersche, K.D., Suckling, J., Bullmore, E.T., A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series. Neuroimage 95 (2014), 287–304, 10.1016/j.neuroimage.2014.03.012.
93. Paus, T., How environment and genes shape the adolescent brain. Horm. Behav. 64:2 (2013), 195–202.
94. Peper, J.S., De Reus, M.A., Van Den Heuvel, M.P., Schutter, D.J.L.G., Short fused? associations between white matter connections, sex steroids, and aggression across adolescence. Hum. Brain Mapp. 36:3 (2015), 1043–1052, 10.1002/hbm.22684.
95. Petanjek, Z., Judaš, M., Šimić, G., Rašin, M.R., Uylings, H.B.M., Rakic, P., Kostović, I., Extraordinary neoteny of synaptic spines in the human prefrontal cortex. Proc. Natl. Acad. Sci. U. S. A. 108:32 (2011), 13281–13286, 10.1073/pnas.1105108108.
96. Polderman, T.J.C., Benyamin, B., De Leeuw, C.A., Sullivan, P.F., Van Bochoven, A., Visscher, P.M., Posthuma, D., Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nat. Genet. 47:7 (2015), 702–709, 10.1038/ng.3285.
97. Porter, J.N., Roy, A.K., Benson, B., Carlisi, C., Collins, P.F., Leibenluft, E., Pine, D.S., Luciana, M., Ernst, M., Age-related changes in the intrinsic functional connectivity of the human ventral vs. dorsal striatum from childhood to middle age. Dev. Cognit. Neurosci. 11 (2015), 83–95, 10.1016/j.dcn.2014.08.011.
98. Power, J., Cohen, A., Nelson, S., Wig, G., Barnes, K., Church, J., Vogel, A., Laumann, T., Miezin, F., Schlaggar, B., Petersen, S., Functional Network Organization of the Human Brain. Neuron 72:4 (2011), 665–678, 10.1016/j.neuron.2011.09.006.
99. Power, J.D., Fair, D.A., Schlaggar, B.L., Petersen, S.E., The development of human functional brain networks. Neuron 67:5 (2010), 735–748.
100. Power, J.D., Schlaggar, B.L., Petersen, S.E., Recent progress and outstanding issues in motion correction in resting state fMRI. Neuroimage 105 (2015), 536–551, 10.1016/j.neuroimage.2014.10.044.
101. Qiu, A., Anh, T.T., Li, Y., Chen, H., Rifkin-Graboi, A., Broekman, B.F.P., Kwek, K., Saw, S.M., Chong, Y.S., Gluckman, P.D., Fortier, M.V., Meaney, M.J., Prenatal maternal depression alters amygdala functional connectivity in 6-month-old infants. Transl. Psychiatry, 5(2), 2015, 10.1038/tp.2015.3.
102. Ratnarajah, N., Rifkin-Graboi, A., Fortier, M.V., Chong, Y.S., Kwek, K., Saw, S.M., Godfrey, K.M., Gluckman, P.D., Meaney, M.J., Qiu, A., Structural connectivity asymmetry in the neonatal brain. Neuroimage 75 (2013), 195–202, 10.1016/j.neuroimage.2013.02.052.
103. Raznahan, A., Lerch, J.P., Lee, N., Greenstein, D., Wallace, G.L., Stockman, M., Clasen, L., Shaw, P.W., Giedd, J.N., Patterns of coordinated anatomical change in human cortical development: a longitudinal neuroimaging study of maturational coupling. Neuron 72:5 (2011), 873–884, 10.1016/j.neuron.2011.09.028.
104. Raznahan, A., Shaw, P., Lalonde, F., Stockman, M., Wallace, G.L., Greenstein, D., Clasen, L., Gogtay, N., Giedd, J.N., How does your cortex grow?. J. Neurosci. 31:19 (2011), 7174–7177, 10.1523/JNEUROSCI.0054-11.2011.
105. Reid, V., Belsky, J., Neuroscience: environmental influence on child development. Curr. Paediatrics 12:7 (2002), 581–585, 10.1054/cupe.2002.0344.
106. Rubia, K., Functional brain imaging across development. Eur. Child Adolesc. Psychiatry 22:12 (2013), 719–731, 10.1007/s00787-012-0291-8.
107. Rubinov, M., Sporns, O., Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52:3 (2010), 1059–1069, 10.1016/j.neuroimage.2009.10.003.
108. Sanabria-Diaz, G., Melie-García, L., Iturria-Medina, Y., Alemán-Gómez, Y., Hernández-González, G., Valdés-Urrutia, L., Galán, L., Valdés-Sosa, P., Surface area and cortical thickness descriptors reveal different attributes of the structural human brain networks. Neuroimage 50:4 (2010), 1497–1510, 10.1016/j.neuroimage.2010.01.028.
109. Sato, J.R., Salum, G.A., Gadelha, A., Picon, F.A., Pan, P.M., Vieira, G., Zugman, A., Hoexter, M.Q., Anés, M., Moura, L.M., Gomes Del'Aquilla, M.A., Amaro, E. Jr, McGuire, P., Crossley, N., Lacerda, A., Rhode, L.A., Miguel, E.C., Bressan, R.A., Jackowski, A.P., Age effects on the default mode and control networks in typically developing children. J. Psychiatr. Res., 2014.
110. Sato, J.R., Salum, G.A., Gadelha, A., Crossley, N., Vieira, G., Manfro, G.G., Zugman, A., Picon, F.A., Pan, P.M., Hoexter, M.Q., Anés, M., Moura, L.M., Del'Aquilla, M.A.G., Amaro, E., McGuire, P., Lacerda, A.L.T., Rohde, L.A., Miguel, E.C., Jackowski, A.P., Bressan, R.A., Default mode network maturation and psychopathology in children and adolescents. J. Child Psychol. Psychiatry, 2015, 10.1111/jcpp.12444.
111. Sato, J.R., Salum, G.A., Gadelha, A., Vieira, G., Zugman, A., Picon, F.A., Pan, P.M., Hoexter, M.Q., Anés, M., Moura, L.M., Del'Aquilla, M.A.G., Crossley, N., Amaro, E., McGuire, P., Lacerda, A.L.T., Rohde, L.A., Miguel, E.C., Jackowski, A.P., Bressan, R.A., Decreased centrality of subcortical regions during the transition to adolescence: a functional connectivity study. Neuroimage 104 (2015), 44–51, 10.1016/j.neuroimage.2014.09.063.
112. Saygin, Z.M., Osher, D.E., Koldewyn, K., Martin, R.E., Finn, A., Saxe, R., Gabrieli, J.D.E., Sheridan, M., Structural connectivity of the developing human amygdala. PLoS ONE, 10(4), 2015, 10.1371/journal.pone.0125170.
113. Schöpf, V., Kasprian, G., Schwindt, J., Kollndorfer, K., Prayer, D., Visualization of resting-state networks in utero. Ultrasound Obstet. Gynecol. 39:4 (2012), 487–488, 10.1002/uog.11119.
114. Schmitt, J.E., Lenroot, R.K., Wallace, G.L., Ordaz, S., Taylor, K.N., Kabani, N., Greenstein, D., Lerch, J.P., Kendler, K.S., Neale, M.C., Giedd, J.N., Identification of genetically mediated cortical networks: a multivariate study of pediatric twins and siblings. Cereb. Cortex 18:8 (2008), 1737–1747, 10.1093/cercor/bhm211.
115. Schmitt, J.E., Neale, M.C., Fassassi, B., Perez, J., Lenroot, R.K., Wells, E.M., Giedd, J.N., The dynamic role of genetics on cortical patterning during childhood and adolescence. Proc. Natl. Acad. Sci. U. S. A. 111:18 (2014), 6774–6779.
116. Shen, K.K., Rose, S., Fripp, J., McMahon, K.L., de Zubicaray, G.I., Martin, N.G., Thompson, P.M., Wright, M.J., Salvado, O., Investigating brain connectivity heritability in a twin study using diffusion imaging data. Neuroimage 100 (2014), 628–641, 10.1016/j.neuroimage.2014.06.041.
117. Sherman, L.E., Rudie, J.D., Pfeifer, J.H., Masten, C.L., McNealy, K., Dapretto, M., Development of the default mode and central executive networks across early adolescence: a longitudinal study. Dev. Cognit. Neurosci. 10 (2014), 148–159, 10.1016/j.dcn.2014.08.002.
118. Smith, P.L., Moss, S.B., Psychologist impairment: what is it, how can it be prevented, and what can be done to address it?. Clin. Psychol.: Sci. Pract. 16:1 (2009), 1–15.
119. Smyser, C.D., Neil, J.J., Use of resting-state functional MRI to study brain development and injury in neonates. Semin. Perinatol. 39:2 (2015), 130–140, 10.1053/j.semperi.2015.01.006.
120. Smyser, C.D., Snyder, A.Z., Neil, J.J., Functional connectivity MRI in infants: exploration of the functional organization of the developing brain. Neuroimage 56:3 (2011), 1437–1452, 10.1016/j.neuroimage.2011.02.073.
121. Sporns, O., Discovering the Human Connectome. 2012, MIT Press, Cambridge, Mass.
122. Sporns, O., Networks of the Brain. 2012, Cambridge, Mass, MIT Press.
123. Stanley, M.L., Simpson, S.L., Dagenbach, D., Lyday, R.G., Burdette, J.H., Laurienti, P.J., Changes in brain network efficiency and working memory performance in aging. PLoS One, 10(4), 2015, 10.1371/journal.pone.0123950.
124. Supekar, K., Musen, M., Menon, V., Development of large-scale functional brain networks in children. PLoS Biol., 7(7), 2009, 10.1371/journal.pbio.1000157.
125. Talairach, J., Tournoux, P., Co-planar Stereotaxic Atlas of the Hum. Brain. 3-dimensional Proportional System: An Approach to Cereb. Imaging. 1988, Thieme Medical Publishers, New York.
126. Tau, G.Z., Peterson, B.S., Normal development of brain circuits. Neuropsychopharmacology 35:1 (2010), 147–168, 10.1038/npp.2009.115.
127. Thomason, M.E., Brown, J.A., Dassanayake, M.T., Shastri, R., Marusak, H.A., Hernandez-Andrade, E., Yeo, L., Mody, S., Berman, S., Hassan, S.S., Romero, R., Intrinsic functional brain architecture derived from graph theoretical analysis in the human fetus. PLoS One, 9(5), 2014, 10.1371/journal.pone.0094423.
128. Thomason, M.E., Grove, L.E., Lozon, T.A., Vila, A.M., Ye, Y., Nye, M.J., Manning, J.H., Pappas, A., Hernandez-Andrade, E., Yeo, L., Mody, S., Berman, S., Hassan, S.S., Romero, R., Age-related increases in long-range connectivity in fetal functional neural connectivity networks in utero. Dev. Cognit. Neurosci. 11 (2015), 96–104, 10.1016/j.dcn.2014.09.001.
129. Thomason, M.E., Marusak, H.A., Tocco, M.A., Vila, A.M., McGarragle, O., Rosenberg, D.R., Altered amygdala connectivity in urban youth exposed to trauma. Soc. Cogn. Affect. Neurosci., 2015, 10.1093/scan/nsv030.
130. Tymofiyeva, O., Hess, C.P., Ziv, E., Lee, P.N., Glass, H.C., Ferriero, D.M., Barkovich, A.J., Xu, D., A DTI-based template-free cortical connectome study of brain maturation. PLoS One, 8(5), 2013, 10.1371/journal.pone.0063310.
131. Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., Joliot, M., Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 15:1 (2002), 273–289, 10.1006/nimg.2001.0978.
132. van den Heuvel, M.P., van Soelen, I.L.C., Stam, C.J., Kahn, R.S., Boomsma, D.I., Hulshoff Pol, H.E., Genetic control of functional brain network efficiency in children. Eur. Neuropsychopharmacol. 23:1 (2013), 19–23, 10.1016/j.euroneuro.2012.06.007.
133. Uddin, L.Q., Supekar, K.S., Ryali, S., Menon, V., Dynamic reconfiguration of structural and functional connectivity across core neurocognitive brain networks with development. J. Neuroscience 31:50 (2011), 18578–18589.
134. Vértes, P.E., Bullmore, E.T., Annual research review: growth connectomics – the organization and reorganization of brain networks during normal and abnormal development. J. Child Psychol. Psychiatry 56:3 (2015), 299–320, 10.1111/jcpp.12365.
135. Van Den Heuvel, M.P., Stam, C.J., Kahn, R.S., Hulshoff Pol, H.E., Efficiency of functional brain networks and intellectual performance. J. Neurosci. 29:23 (2009), 7619–7624, 10.1523/JNEUROSCI.1443-09.2009.
136. Van Soelen, I.L.C., Brouwer, R.M., Peper, J.S., Van Leeuwen, M., Koenis, M.M.G., Van Beijsterveldt, T.C.E.M., Swagerman, S.C., Kahn, R.S., Pol, H.E.H., Boomsma, D.I., Brain SCALE: brain structure and cognition: an adolescent longitudinal twin study into the genetic etiology of individual differences. Twin Res. Hum. Genet. 15:3 (2012), 453–467, 10.1017/thg.2012.4.
137. Vinette, S.A., Bray, S., Variation in functional connectivity along anterior-to-posterior intraparietal sulcus, and relationship with age across late childhood and adolescence. Dev. Cognit. Neurosci. 13 (2015), 32–42, 10.1016/j.dcn.2015.04.004.
138. Visscher, P.M., Hill, W.G., m Wray, N.R., Heritability in the genomics era - Concepts and misconceptions. Nat. Rev. Genet. 9:4 (2008), 255–266, 10.1038/nrg2322.
139. Vogel, A.C., Church, J.A., Power, J.D., Miezin, F.M., Petersen, S.E., Schlaggar, B.L., Functional network architecture of reading-related regions across development. Brain Lang. 125:2 (2013), 231–243, 10.1016/j.bandl.2012.12.016.
140. Vogel, A.C., Power, J.D., Petersen, S.E., Schlaggar, B.L., Development of the brain's functional network architecture. Neuropsychol. Rev. 20:4 (2010), 362–375, 10.1007/s11065-010-9145-7.
141. Walhovd, K.B., Johansen-Berg, H., Káradóttir, R.T., Unraveling the secrets of white matter – Bridging the gap between cellular, animal and human imaging studies. Neuroscience 276 (2014), 2–13, 10.1016/j.neuroscience.2014.06.058.
142. Watts, D.J., Strogatz, S.H., Collective dynamics of ‘small-world' networks. Nature 393:6684 (1998), 440–442, 10.1038/30918.
143. Wierenga, L.M., Langen, M., Oranje, B., Durston, S., Unique developmental trajectories of cortical thickness and surface area. Neuroimage 87 (2014), 120–126.
144. Wiggins, J.L., Bedoyan, J.K., Peltier, S.J., Ashinoff, S., Carrasco, M., Weng, S.J., Welsh, R.C., Martin, D.M., Monk, C.S., The impact of serotonin transporter (5-HTTLPR) genotype on the development of resting-state functional connectivity in children and adolescents: a preliminary report. Neuroimage 59:3 (2012), 2760–2770.
145. Winkler, A.M., Kochunov, P., Blangero, J., Almasy, L., Zilles, K., Fox, P.T., Duggirala, R., Glahn, D.C., Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies. Neuroimage 53:3 (2010), 1135–1146, 10.1016/j.neuroimage.2009.12.028.
146. Wu, K., Taki, Y., Sato, K., Hashizume, H., Sassa, Y., Takeuchi, H., Thyreau, B., He, Y., Evans, A.C., Li, X., Kawashima, R., Fukuda, H., Topological organization of functional brain networks in healthy children: differences in relation to age, sex, and intelligence. PLoS One, 8(2), 2013.
147. Wylie, K.P., Rojas, D.C., Ross, R.G., Hunter, S.K., Maharajh, K., Cornier, M.A., Tregellas, J.R., Reduced brain resting-state network specificity in infants compared with adults. Neuropsychiatr. Dis. Treat. 10 (2014), 1349–1359, 10.2147/NDT.S63773.
148. Xiao, Y., Zhai, H., Friederici, A.D., Jia, F., The development of the intrinsic functional connectivity of default network subsystems from age 3 to 5. Brain Imaging Behav. 10:1 (2016), 50–59, 10.1007/s11682-015-9362-z.
149. Yan, C., Gong, G., Wang, J., Wang, D., Liu, D., Zhu, C., Chen, Z.J., Evans, A., Zang, Y., He, Y., Sex- and brain size-related small-world structural cortical networks in young adults: a DTI tractography study. Cereb. Cortex 21:2 (2011), 449–458, 10.1093/cercor/bhq111.
150. Yap, P.T., Fan, Y., Chen, Y., Gilmore, J.H., Lin, W., Shen, D., Development trends of white matter connectivity in the first years of life. PLoS One, 6(9), 2011, 10.1371/journal.pone.0024678.
151. Yendiki, A., Koldewyn, K., Kakunoori, S., Kanwisher, N., Fischl, B., Spurious group differences due to head motion in a diffusion MRI study. Neuroimage 88 (2014), 79–90, 10.1016/j.neuroimage.2013.11.027.
152. Yoon, U., Fahim, C., Perusse, D., Evans, A.C., Lateralized genetic and environmental influences on human brain morphology of 8-year-old twins. Neuroimage 53:3 (2010), 1117–1125.
153. Yoon, U., Fahim, C., Perusse, D., Evans, A.C., Genetic and environmental influences on structural variability of the brain in pediatric twin: deformation based morphometry. Neurosci. Lett. 493:1–2 (2011), 8–13, 10.1016/j.neulet.2011.01.070.
154. Yoon, U., Perusse, D., Evans, A.C., Mapping genetic and environmental influences on cortical surface area of pediatric twins. Neuroscience 220 (2012), 169–178, 10.1016/j.neuroscience.2012.06.030.
155. Zalesky, A., Fornito, A., Harding, I.H., Cocchi, L., Yücel, M., Pantelis, C., Bullmore, E.T., Whole-brain anatomical networks: does the choice of nodes matter?. Neuroimage 50:3 (2010), 970–983, 10.1016/j.neuroimage.2009.12.027.
156. Zatorre, R.J., Fields, R.D., Johansen-Berg, H., Plasticity in gray and white: neuroimaging changes in brain structure during learning. Nat. Neurosci. 15:4 (2012), 528–536, 10.1038/nn.3045.
157. Zhou, D., Lebel, C., Treit, S., Evans, A., Beaulieu, C., Accelerated longitudinal cortical thinning in adolescence. Neuroimage 104 (2015), 138–145, 10.1016/j.neuroimage.2014.10.005.
158. Zielinski, B.A., Gennatas, E.D., Zhou, J., Seeley, W.W., Network-level structural covariance in the developing brain. Proc. Natl. Acad. Sci. U. S. A. 107:42 (2010), 18191–18196, 10.1073/pnas.1003109107.