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Brain Development During the Preschool Years
Open accessAbstract
The preschool years represent a time of expansive mental growth, with the initial expression of many psychological abilities that will continue to be refined into young adulthood. Likewise, brain development during this age is characterized by its “blossoming” nature, showing some of its most dynamic and elaborative anatomical and physiological changes. In this article, we review human brain development during the preschool years, sampling scientific evidence from a variety of sources. First, we cover neurobiological foundations of early postnatal development, explaining some of the primary mechanisms seen at a larger scale within neuroimaging studies. Next, we review evidence from both structural and functional imaging studies, which now accounts for a large portion of our current understanding of typical brain development. Within anatomical imaging, we focus on studies of developing brain morphology and tissue properties, including diffusivity of white matter fiber tracts. We also present new data on changes during the preschool years in cortical area, thickness, and volume. Physiological brain development is then reviewed, touching on influential results from several different functional imaging and recording modalities in the preschool and early school-age years, including positron emission tomography (PET), electroencephalography (EEG) and event-related potentials (ERP), functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), and near-infrared spectroscopy (NIRS). Here, more space is devoted to explaining some of the key methodological factors that are required for interpretation. We end with a section on multimodal and multidimensional imaging approaches, which we believe will be critical for increasing our understanding of brain development and its relationship to cognitive and behavioral growth in the preschool years and beyond.
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Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604
Brain development in children and adolescents: Insights from anatomical magnetic resonance imaging
Lenroot, R. K., & Giedd, J. N. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.001 · Cited by 1,863
Functional brain networks develop from a local to distributed organization
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. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000381 · Cited by 1,530
Quantitative growth and development of human brain
Dobbing, J., & Sands, J. (1973) · Archives of Disease in Childhood · doi:10.1136/adc.48.10.757 · Cited by 1,442
Microstructural maturation of the human brain from childhood to adulthood
Lebel, C., Walker, L., Leemans, A., Phillips, L., & Beaulieu, C. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.053 · Cited by 1,398
Distinct Genetic Influences on Cortical Surface Area and Cortical Thickness
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., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp026 · Cited by 1,304
Self-citationNatural waking and sleep states: a view from inside neocortical neurons
Steriade, M., Timofeev, I., & Grenier, F. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.85.5.1969 · Cited by 1,296
Immature Frontal Lobe Contributions to Cognitive Control in Children
Bunge, S. A., Dudukovic, N. M., Thomason, M. E., Vaidya, C. J., & Gabrieli, J. D. E. (2002) · Neuron · doi:10.1016/s0896-6273(01)00583-9 · Cited by 1,291 · cited 1×
“, 2003), executive functions (Bunge et al., 2002; Dumontheil and Klingberg, 2011; Somerville et al., 2010; Wendelken et al., 2011b), and even social, moral, and emotional cognition (Decety et al.”
BackgroundLongitudinal Development of Human Brain Wiring Continues from Childhood into Adulthood
Lebel, C., & Beaulieu, C. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5302-10.2011 · Cited by 1,193
Functional neuroimaging of speech perception in infants
Dehaene-Lambertz, G., Dehaene, S., & Hertz-Pannier, L. (2002) · Science · doi:10.1126/science.1077066 · Cited by 1,113 · cited 2×
“Despite an increasing amount of published work on infants, particularly on language development (Dehaene-Lambertz et al., 2002; Friederici, 2006), there are still relatively few fMRI studies that have focused specifically on typical development within the preschool years, similar to the paucity of studies in the struc…”
Research works printed but not linked: 167
- Alonso-Solis, A., Corripio, I., de Castro-Manglano, P., Duran-Sindreu, S., Garcia-Garcia, M., Proal, E., Nunez-Marin, F., Soutullo, C., Alvarez, E., Gomez-Anson, B., Kelly, C., & Castellanos, F. X. (2012). Altered default network resting state functional connectivity in patients with a first episode of psychosis. Schizophrenia Research, 139, 13–18. · DOI
- Bandettini, P. A., Jesmanowicz, A., Wong, E. C., & Hyde, J. S. (1993). Processing strategies for time-course data sets in functional MRI of the human brain. Magnetic Resonance in Medicine, 30, 161–173. · DOI · Paper page
- Barkovich, A. J. (2000). Concepts of myelin and myelination in neuroradiology. AJNR. American Journal of Neuroradiology, 21, 1099–1109.
- Barkovich, A. J. (2005). Magnetic resonance techniques in the assessment of myelin and myelination. Journal of Inherited Metabolic Disease, 28, 311–343. · DOI
- Barnea-Goraly, N., Menon, V., Eckert, M., Tamm, L., Bammer, R., Karchemskiy, A., Dant, C. C., & Reiss, A. L. (2005). White matter development during childhood and adolescence: a cross-sectional diffusion tensor imaging study. Cerebral Cortex, 15, 1848–1854. · DOI · Paper page
- Basser, P. J., Mattiello, J., & LeBihan, D. (1994). MR diffusion tensor spectroscopy and imaging. Biophysical Journal, 66, 259–267. · DOI · Paper page
- Behen, M. E., Muzik, O., Saporta, A. S., Wilson, B. J., Pai, D., Hua, J., & Chugani, H. T. (2009). Abnormal fronto-striatal connectivity in children with histories of early deprivation: a diffusion tensor imaging study. Brain Imaging and Behavior, 3, 292–297. · DOI
- Belliveau, J. W. (1990). Functional NMR imaging of the brain. Ph.D. Thesis, Cambridge, MA: Harvard University.
- Belliveau, J. W., Cohen, M. S., Weisskoff, R. M., Buchbinder, B. R., & Rosen, B. R. (1991). Functional studies of the human brain using high-speed magnetic resonance imaging. Journal of Neuroimaging, 1, 36–41. · DOI
- Biswal, B. B., Mennes, M., Zuo, X. N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., Dogonowski, A. M., Ernst, M., Fair, D., Hampson, M., Hoptman, M. J., Hyde, J. S., Kiviniemi, V. J., Kotter, R., Li, S. J., Lin, C. P., Lowe, M. J., Mackay, C., Madden, D. J., Madsen, K. H., Margulies, D. S., Mayberg, H. S., McMahon, K., Monk, C. S., Mostofsky, S. H., Nagel, B. J., Pekar, J. J., Peltier, S. J., Petersen, S. E., Riedl, V., Rombouts, S. A., Rypma, B., Schlaggar, B. L., Schmidt, S., Seidler, R. D., Siegle, G. J., Sorg, C., Teng, G. J., Veijola, J., Villringer, A., Walter, M., Wang, L., Weng, X. C., Whitfield-Gabrieli, S., Williamson, P., Windischberger, C., Zang, Y. F., Zhang, H. Y., Castellanos, F. X., & Milham, M. P. (2010). Toward discovery science of human brain function. Proceedings of the National Academy of Sciences, 107, 4734–4739. · DOI · Paper page
- Booth, J. R., Burman, D. D., Meyer, J. R., Gitelman, D. R., Parrish, T. B., & Mesulam, M. M. (2004). Development of brain mechanisms for processing orthographic and phonologic representations. Journal of Cognitive Neuroscience, 16, 1234–1249. · DOI · Paper page
- Booth, J. R., Burman, D. D., Meyer, J. R., Lei, Z., Choy, J., Gitelman, D. R., Parrish, T. B., & Mesulam, M. M. (2003). Modality-specific and -independent developmental differences in the neural substrate for lexical processing. Journal of Neurolinguistics, 16, 383–405. · DOI
- Booth, J. R., Macwhinney, B., Thulborn, K. R., Sacco, K., Voyvodic, J., & Feldman, H. M. (1999). Functional organization of activation patterns in children: whole brain fMRI imaging during three different cognitive tasks. Progress in Neuropsychopharmacology and Biological Psychiatry, 23, 669–682. · DOI
- Bourgeois, J. P., Goldman-Rakic, P. S., & Rakic, P. (1994). Synaptogenesis in the prefrontal cortex of rhesus monkeys. Cerebral Cortex, 4, 78–96. · DOI · Paper page
- Bourgeois, J. P., & Rakic, P. (1993). Changes of synaptic density in the primary visual cortex of the macaque monkey from fetal to adult stage. Journal of Neuroscience, 13, 2801–2820. · DOI · Paper page
- Brown, T. T., Kuperman, J. M., Erhart, M., White, N. S., Roddey, J. C., Shankaranarayanan, A., Han, E. T., Rettmann, D., & Dale, A. M. (2010). Prospective motion correction of high-resolution magnetic resonance imaging data in children. NeuroImage, 53, 139–145. · DOI
- Brown, T. T., Lugar, H. M., Coalson, R. S., Miezin, F. M., Petersen, S. E., & Schlaggar, B. L. (2005). Developmental changes in human cerebral functional organization for word generation. Cerebral Cortex, 15, 275–290. · DOI · Paper page
- Brown, T. T., Petersen, S. E., & Schlaggar, B. L. (2003). Functional neuroimaging approaches to the study of human brain development. Neurophysiology and Neurogenic Speech and Language Disorders, 13, 3–10. · DOI
- Brown, T. T., Petersen, S. E., & Schlaggar, B. L. (2006). Does human functional brain organization shift from diffuse to focal with development? Developmental Science, 9, 9–11. · DOI
- Burgund, E. D., Kang, H. C., Kelly, J. E., Buckner, R. L., Snyder, A. Z., Petersen, S. E., & Schlaggar, B. L. (2002). The feasibility of a common stereotactic space for children and adults in fMRI studies of development. NeuroImage, 17, 184–200. · DOI · Paper page
- Casey, B. J., Cohen, J. D., Jezzard, P., Turner, R., Noll, D. C., Trainor, R. J., Giedd, J., Kaysen, D., Hertz-Pannier, L., & Rapoport, J. L. (1995). Activation of prefrontal cortex in children during a nonspatial working memory task with functional MRI. NeuroImage, 2, 221–229. · DOI · Paper page
- Casey, B. J., Cohen, J. D., King, S. W., Franzen, P. L., Nystrom, L. E., Badgaiyan, R. D., Schubert, A. B., & Noll, D. C. (1997). A developmental functional MRI study of cortical activation during a spatial working memory task. NeuroImage, 5, S69.
- Casey, B. J., Galvan, A., & Hare, T. A. (2005). Changes in cerebral functional organization during cognitive development. Current Opinion in Neurobiology, 15, 239–244. · DOI · Paper page
- Casey, B. J., Trainor, R., Giedd, J., Vauss, Y., Vaituzis, C. K., Hamburger, S., Kozuch, P., & Rapoport, J. L. (1997). The role of the anterior cingulate in automatic and controlled processes: a developmental neuroanatomical study. Developmental Psychobiology, 30, 61–69. · DOI
- Caviness, V.S., Meyer, J., Makris, N., & Kennedy, D.N. (1996). MRI-based topographic parcellation of the human neocortex: an anatomically specified method with estimate of reliability. Journal of Cognitive Neuroscience, 8. · DOI · Paper page
- Cayre, M., Canoll, P., & Goldman, J. E. (2009). Cell migration in the normal and pathological postnatal mammalian brain. Progress in Neurobiology, 88, 41–63. · DOI
- Chapman, R. M., & Bragdon, H. R. (1964). Evoked responses to numerical and non-numerical visual stimuli while problem solving. Nature, 203, 1155–1157. · DOI · Paper page
- Chou, T. L., Booth, J. R., Burman, D. D., Bitan, T., Bigio, J. D., Lu, D., & Cone, N. E. (2006). Developmental changes in the neural correlates of semantic processing. NeuroImage, 29, 1141–1149. · DOI
- Chugani, H. T., Hovda, D. A., Villablanca, J. R., Phelps, M. E., & Xu, W. F. (1991). Metabolic maturation of the brain: a study of local cerebral glucose utilization in the developing cat. Journal of Cerebral Blood Flow and Metabolism, 11, 35–47. · DOI
- Chugani, H. T., & Phelps, M. E. (1991). Imaging human brain development with positron emission tomography. Journal of Nuclear Medicine, 32, 23–26.
- Chugani, H. T., Phelps, M. E., & Mazziotta, J. C. (1987). Positron emission tomography study of human brain functional development. Annals of Neurology, 22, 487–497. · DOI · Paper page
- Church, J. A., Fair, D. A., Dosenbach, N. U., Cohen, A. L., Miezin, F. M., Petersen, S. E., & Schlaggar, B. L. (2009). Control networks in paediatric Tourette syndrome show immature and anomalous patterns of functional connectivity. Brain, 132, 225–238. · DOI · Paper page
- Church, J. A., Petersen, S. E., & Schlaggar, B. L. (2010). The “Task B problem” and other considerations in developmental functional neuroimaging. Human Brain Mapping, 31, 852–862. · DOI · Paper page
- Cohen, D. (1968). Magnetic field measurements of human alpha rhythm. Science, 161, 784–786. · DOI · Paper page
- Cohen, D., & Cuffin, B. N. (1983). Demonstration of useful differences between magnetoencephalogram and electroencephalogram. Electroencephalography and Clinical Neurophysiology, 56, 38–51. · DOI · Paper page
- Cohen, D., & Cuffin, B. N. (1991). EEG versus MEG localization accuracy: theory and experiment. Brain Topography, 4, 95–103. · DOI
- Cohen, D., Cuffin, B. N., Yunokuchi, K., Maniewski, R., Purcell, C., Cosgrove, G. R., Ives, J., Kennedy, J. G., & Schomer, D. L. (1990). MEG versus EEG localization test using implanted sources in the human brain. Annals of Neurology, 28, 811–817. · DOI · Paper page
- Cohen, M. S., & DuBois, R. M. (1999). Stability, repeatability, and the expression of signal magnitude in functional magnetic resonance imaging. Journal of Magnetic Resonance Imaging, 10, 33–40. · DOI
- Courchesne, E. (1977). Event-related brain potentials: comparison between children and adults. Science, 197, 589–592. · DOI · Paper page
- Courchesne, E., Chisum, H. J., Townsend, J., Cowles, A., Covington, J., Egaas, B., Harwood, M., Hinds, S., & Press, G. A. (2000). Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. Radiology, 216, 672–682. · DOI · Paper page
- Crone, E. A., Poldrack, R. A., & Durston, S. (2010). Challenges and methods in developmental neuroimaging. Human Brain Mapping, 31, 835–837. · DOI
- Cuffin, B. N., & Cohen, D. (1979). Comparison of the magnetoencephalogram and electroencephalogram. Electroencephalography and Clinical Neurophysiology, 47, 132–146. · DOI · Paper page
- Cullen, K. R., Gee, D. G., Klimes-Dougan, B., Gabbay, V., Hulvershorn, L., Mueller, B. A., Camchong, J., Bell, C. J., Houri, A., Kumra, S., Lim, K. O., Castellanos, F. X., & Milham, M. P. (2009). A preliminary study of functional connectivity in comorbid adolescent depression. Neuroscience Letters, 460, 227–231. · DOI · Paper page
- Dale, A. M., & Halgren, E. (2001). Spatiotemporal mapping of brain activity by integration of multiple imaging modalities. Current Opinion in Neurobiology, 11, 202–208. · DOI · Paper page
- Dale, A. M., Liu, A. K., Fischl, B. R., Buckner, R. L., Belliveau, J. W., Lewine, J. D., & Halgren, E. (2000). Dynamic statistical parametric mapping: combining fMRI and MEG for high-resolution imaging of cortical activity. Neuron, 26, 55–67. · DOI · Paper page
- Dale, A. M., & Sereno, M. I. (1993). Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: A linear approach. Journal of Cognitive Neuroscience, 5, 162–176. · DOI · Paper page
- De Martino, F., Valente, G., de Borst, A. W., Esposito, F., Roebroeck, A., Goebel, R., & Formisano, E. (2010). Multimodal imaging: an evaluation of univariate and multivariate methods for simultaneous EEG/fMRI. Magnetic Resonance Imaging, 28, 1104–1112. · DOI
- Devor, A., Ulbert, I., Dunn, A. K., Narayanan, S. N., Jones, S. R., Andermann, M. L., Boas, D. A., & Dale, A. M. (2005). Coupling of the cortical hemodynamic response to cortical and thalamic neuronal activity. Proceedings of the National Academy of Sciences, 102, 3822–3827. · DOI
- DeYoe, E. A., Bandettini, P., Neitz, J., Miller, D., & Winans, P. (1994). Functional magnetic resonance imaging (FMRI) of the human brain. Journal of Neuroscience Methods, 54, 171–187. · DOI · Paper page
- Dickstein, D. P., Gorrostieta, C., Ombao, H., Goldberg, L. D., Brazel, A. C., Gable, C. J., Kelly, C., Gee, D. G., Zuo, X. N., Castellanos, F. X., & Milham, M. P. (2010). Fronto-temporal spontaneous resting state functional connectivity in pediatric bipolar disorder. Biological Psychiatry, 68, 839–846. · DOI
- Dien, J., Spencer, K. M., & Donchin, E. (2003). Localization of the event-related potential novelty response as defined by principal components analysis. Brain Research. Cognitive Brain Research, 17, 637–650. · DOI · Paper page
- Dosenbach, N. U., 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. (2010). Prediction of individual brain maturity using fMRI. Science, 329, 1358–1361. · DOI · Paper page
- Dumontheil, I., & Klingberg, T. (2011). Brain activity during a visuospatial working memory task predicts arithmetical performance 2 years later. Cerebral Cortex, 22, 1078–1085. · DOI
- Fair, D. A., Bathula, D., Mills, K. L., Dias, T. G., Blythe, M. S., Zhang, D., Snyder, A. Z., Raichle, M. E., Stevens, A. A., Nigg, J. T., & Nagel, B. J. (2010). Maturing thalamocortical functional connectivity across development. Frontiers in Systems Neuroscience, 4, 10.
- Fair, D. A., Brown, T. T., Petersen, S. E., & Schlaggar, B. L. (2006). A comparison of analysis of variance and correlation methods for investigating cognitive development with functional magnetic resonance imaging. Developmental Neuropsychology, 30, 531–546. · DOI
- Fair, D. A., Dosenbach, N. U., Church, J. A., Cohen, A. L., Brahmbhatt, S., Miezin, F. M., Barch, D. M., Raichle, M. E., Petersen, S. E., & Schlaggar, B. L. (2007). Development of distinct control networks through segregation and integration. Proceedings of the National Academy of Sciences, 104, 13507–13512. · DOI · Paper page
- Fields, R. D., & Burnstock, G. (2006). Purinergic signalling in neuron-glia interactions. Nature Reviews Neuroscience, 7, 423–436. · DOI · Paper page
- Fuchigami, T., Okubo, O., Ejiri, K., Fujita, Y., Kohira, R., Noguchi, Y., Fuchigami, S., Hiyoshi, K., Nishimura, A., & Harada, K. (1995). Developmental changes in P300 wave elicited during two different experimental conditions. Pediatric Neurology, 13, 25–28. · DOI
- Fujioka, T., Ross, B., Kakigi, R., Pantev, C., & Trainor, L. J. (2006). One year of musical training affects development of auditory cortical-evoked fields in young children. Brain, 129, 2593–2608. · DOI · Paper page
- Gaillard, W. D., Sachs, B. C., Whitnah, J. R., Ahmad, Z., Balsamo, L. M., Petrella, J. R., Braniecki, S. H., McKinney, C. M., Hunter, K., Xu, B., & Grandin, C. B. (2003). Developmental aspects of language processing: fMRI of verbal fluency in children and adults. Human Brain Mapping, 18, 176–185. · DOI
- Geisler, M. W., & Murphy, C. (2000). Event-related brain potentials to attended and ignored olfactory and trigeminal stimuli. International Journal of Psychophysiology, 37, 309–315. · DOI
- Gerstl, F., Windischberger, C., Mitterhauser, M., Wadsak, W., Holik, A., Kletter, K., Moser, E., Kasper, S., & Lanzenberger, R. (2008). Multimodal imaging of human early visual cortex by combining functional and molecular measurements with fMRI and PET. NeuroImage, 41, 204–211. · DOI
- Ghetti, S., DeMaster, D. M., Yonelinas, A. P., & Bunge, S. A. (2010). Developmental differences in medial temporal lobe function during memory encoding. Journal of Neuroscience, 30, 9548–9556. · DOI
- Giedd, J. N., Snell, J. W., Lange, N., Rajapakse, J. C., Casey, B. J., Kozuch, P. L., Vaituzis, A. C., Vauss, Y. C., Hamburger, S. D., Kaysen, D., & Rapoport, J. L. (1996). Quantitative magnetic resonance imaging of human brain development: ages 4–18. Cerebral Cortex, 6, 551–560. · DOI · Paper page
- Giedd, J. N., Vaituzis, A. C., Hamburger, S. D., Lange, N., Rajapakse, J. C., Kaysen, D., Vauss, Y. C., & Rapoport, J. L. (1996). Quantitative MRI of the temporal lobe, amygdala, and hippocampus in normal human development: ages 4–18 years. The Journal of Comparative Neurology, 366, 223–230. · doi:10.1002/(sici)1096-9861(19960304)366:2<223::aid-cne3>3.0.co;2-7
- Gozzo, Y., Vohr, B., Lacadie, C., Hampson, M., Katz, K. H., Maller-Kesselman, J., Schneider, K. C., Peterson, B. S., Rajeevan, N., Makuch, R. W., Constable, R. T., & Ment, L. R. (2009). Alterations in neural connectivity in preterm children at school age. NeuroImage, 48, 458–463. · DOI
- Hagler, D. J., Jr., Ahmadi, M. E., Kuperman, J., Holland, D., McDonald, C. R., Halgren, E., & Dale, A. M. (2009). Automated white-matter tractography using a probabilistic diffusion tensor atlas: Application to temporal lobe epilepsy. Human Brain Mapping, 30, 1535–1547. · DOI · Paper page
- Halgren, E. (2004). How can intracranial recordings assist MEG source localization? Neurology and Clinical Neurophysiology, 2004, 86.
- Halgren, E., Baudena, P., Heit, G., Clarke, J. M., Marinkovic, K., Chauvel, P., & Clarke, M. (1994). Spatio-temporal stages in face and word processing. 2. Depth-recorded potentials in the human frontal and Rolandic cortices. Journal of Physiology, Paris, 88, 51–80. · DOI · Paper page
- Hämäläinen, M. S., Hari, R., Ilmoniemi, R. J., Knuutila, J., & Lounasmaa, O. V. (1993). Magnetoencephalography - theory, instrumentation, and applications to noninvasive studies of the working human brain. Reviews of Modern Physics, 65, 413–497. · DOI · Paper page
- Hermoye, L., Saint-Martin, C., Cosnard, G., Lee, S. K., Kim, J., Nassogne, M. C., Menten, R., Clapuyt, P., Donohue, P. K., Hua, K., Wakana, S., Jiang, H., van Zijl, P. C., & Mori, S. (2006). Pediatric diffusion tensor imaging: normal database and observation of the white matter maturation in early childhood. NeuroImage, 29, 493–504. · DOI · Paper page
- Hertz-Pannier, L., Gaillard, W. D., Mott, S. H., Cuenod, C. A., Bookheimer, S. Y., Weinstein, S., Conry, J., Papero, P. H., Schiff, S. J., Le Bihan, D., & Theodore, W. H. (1997). Noninvasive assessment of language dominance in children and adolescents with functional MRI: a preliminary study. Neurology, 48, 1003–1012. · DOI · Paper page
- Hobson, J. A., & McCarley, R. W. (1971). Cortical unit activity in sleep and waking. Electroencephalography and Clinical Neurophysiology, 30, 97–112. · DOI
- Holland, D., & Dale, A. M. (2011). Nonlinear registration of longitudinal images and measurement of change in regions of interest. Medical Image Analysis, 15, 489–497. · DOI
- Holland, D., Kuperman, J. M., & Dale, A. M. (2010). Efficient correction of inhomogeneous static magnetic field-induced distortion in Echo Planar Imaging. NeuroImage, 50, 175–183. · DOI · Paper page
- Holland, S. K., Vannest, J., Mecoli, M., Jacola, L. M., Tillema, J. M., Karunanayaka, P. R., Schmithorst, V. J., Yuan, W., Plante, E., & Byars, A. W. (2007). Functional MRI of language lateralization during development in children. International Journal of Audiology, 46, 533–551. · DOI · Paper page
- Hoshi, Y. (2003). Functional near-infrared optical imaging: utility and limitations in human brain mapping. Psychophysiology, 40, 511–520. · DOI · Paper page
- Houde, O., Pineau, A., Leroux, G., Poirel, N., Perchey, G., Lanoe, C., Lubin, A., Turbelin, M. R., Rossi, S., Simon, G., Delcroix, N., Lamberton, F., Vigneau, M., Wisniewski, G., Vicet, J. R., & Mazoyer, B. (2011). Functional magnetic resonance imaging study of Piaget’s conservation-of-number task in preschool and school-age children: a neo-Piagetian approach. Journal of Experimental Child Psychology, 110, 332–346. · DOI
- Huppi, P. S., & Dubois, J. (2006). Diffusion tensor imaging of brain development. Seminars in Fetal and Neonatal Medicine, 11, 489–497. · DOI · Paper page
- Huttenlocher, P. R., & Dabholkar, A. S. (1997). Regional differences in synaptogenesis in human cerebral cortex. The Journal of Comparative Neurology, 387, 167–178. · doi:10.1002/(sici)1096-9861(19971020)387:2<167::aid-cne1>3.0.co;2-z
- Huttenlocher, P. R., & de Courten, C. (1987). The development of synapses in striate cortex of man. Human Neurobiology, 6, 1–9.
- Imada, T., Zhang, Y., Cheour, M., Taulu, S., Ahonen, A., & Kuhl, P. K. (2006). Infant speech perception activates Broca’s area: a developmental magnetoencephalography study. Neuroreport, 17, 957–962. · DOI · Paper page
- Innocenti, G. M., & Price, D. J. (2005). Exuberance in the development of cortical networks. Nature Reviews Neuroscience, 6, 955–965. · DOI · Paper page
- Iwasaki, N., Hamano, K., Okada, Y., Horigome, Y., Nakayama, J., Takeya, T., Takita, H., & Nose, T. (1997). Volumetric quantification of brain development using MRI. Neuroradiology, 39, 841–846. · DOI
- Jernigan, T. L., & Tallal, P. (1990). Late childhood changes in brain morphology observable with MRI. Developmental Medicine and Child Neurology, 32, 379–385. · DOI · Paper page
- Jernigan, T. L., Trauner, D. A., Hesselink, J. R., & Tallal, P. A. (1991). Maturation of human cerebrum observed in vivo during adolescence. Brain, 114(Pt 5), 2037–2049. · DOI · Paper page
- Jobsis, F. F. (1977). Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science, 198, 1264–1267. · DOI · Paper page
- Johnson, M. H. (2000). Functional brain development in infants: elements of an interactive specialization framework. Child Development, 71, 75–81. · DOI · Paper page
- 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. · DOI · Paper page
- Kawakubo, Y., Kono, T., Takizawa, R., Kuwabara, H., Ishii-Takahashi, A., & Kasai, K. (2011). Developmental changes of prefrontal activation in humans: a near-infrared spectroscopy study of preschool children and adults. PLoS One, 6, e25944. · DOI
- Kennedy, H., & Dehay, C. (2001). Gradients and boundaries: limits of modularity and its influence on the isocortex. Developmental Science, 4, 147–148 [Commentary].
- Kennedy, D. N., Makris, N., Herbert, M. R., Takahashi, T., & Caviness, V. S., Jr. (2002). Basic principles of MRI and morphometry studies of human brain development. Developmental Science, 5, 268–278. · DOI
- Kikuchi, M., Shitamichi, K., Yoshimura, Y., Ueno, S., Remijn, G. B., Hirosawa, T., Munesue, T., Tsubokawa, T., Haruta, Y., Oi, M., Higashida, H., & Minabe, Y. (2011). Lateralized theta wave connectivity and language performance in 2- to 5-year-old children. Journal of Neuroscience, 31, 14984–14988. · DOI
- Kotsoni, E., Byrd, D., & Casey, B. J. (2006). Special considerations for functional magnetic resonance imaging of pediatric populations. Journal of Magnetic Resonance Imaging, 23, 877–886. · DOI
- Kuperman, J.M., Brown, T.T., Ahmadi, M.E., Erhart, M.J., White, N.S., Roddey, J.C., Shankaranarayanan, A., Han, E.T., Rettmann, D., & Dale, A.M. (2011). Prospective motion correction improves diagnostic utility of pediatric MRI scans. Pediatric Radiology. · DOI
- Lee, P. S., Yerys, B. E., Della Rosa, A., Foss-Feig, J., Barnes, K. A., James, J. D., VanMeter, J., Vaidya, C. J., Gaillard, W. D., & Kenworthy, L. E. (2009). Functional connectivity of the inferior frontal cortex changes with age in children with autism spectrum disorders: a fcMRI study of response inhibition. Cerebral Cortex, 19, 1787–1794. · DOI · Paper page
- Lin, S. C., & Bergles, D. E. (2004). Synaptic signaling between GABAergic interneurons and oligodendrocyte precursor cells in the hippocampus. Nature Neuroscience, 7, 24–32. · DOI · Paper page
- Logothetis, N. K., & Wandell, B. A. (2004). Interpreting the BOLD signal. Annual Review of Physiology, 66, 735–769. · DOI · Paper page
- Lyytinen, H., Blomberg, A. P., & Naatanen, R. (1992). Event-related potentials and autonomic responses to a change in unattended auditory stimuli. Psychophysiology, 29, 523–534. · DOI
- Mankinen, K., Jalovaara, P., Paakki, J. J., Harila, M., Rytky, S., Tervonen, O., Nikkinen, J., Starck, T., Remes, J., Rantala, H., & Kiviniemi, V. (2012). Connectivity disruptions in resting-state functional brain networks in children with temporal lobe epilepsy. Epilepsy Research, 100, 168–178. · DOI
- McCarthy, G., & Donchin, E. (1981). A metric for thought: a comparison of P300 latency and reaction time. Science, 211, 77–80. · DOI · Paper page
- McClelland, J. L., Botvinick, M. M., Noelle, D. C., Plaut, D. C., Rogers, T. T., Seidenberg, M. S., & Smith, L. B. (2010). Letting structure emerge: connectionist and dynamical systems approaches to cognition. Trends in Cognitive Science, 14, 348–356. · DOI · Paper page
- McDonald, C. R., Thesen, T., Carlson, C., Blumberg, M., Girard, H. M., Trongnetrpunya, A., Sherfey, J. S., Devinsky, O., Kuzniecky, R., Dolye, W. K., Cash, S. S., Leonard, M. K., Hagler, D. J., Jr., Dale, A. M., & Halgren, E. (2010). Multimodal imaging of repetition priming: using fMRI, MEG, and intracranial EEG to reveal spatiotemporal profiles of word processing. NeuroImage, 53, 707–717. · DOI
- McRae, K., Gross, J. J., Weber, J., Robertson, E. R., Sokol-Hessner, P., Ray, R. D., Gabrieli, J. D., & Ochsner, K. N. (2012). The development of emotion regulation: an fMRI study of cognitive reappraisal in children, adolescents and young adults. Social Cognitive and Affective Neuroscience, 7, 11–22. · DOI · Paper page
- McTigue, D. M., & Tripathi, R. B. (2008). The life, death, and replacement of oligodendrocytes in the adult CNS. Journal of Neurochemistry, 107, 1–19. · DOI · Paper page
- Mennes, M., Vega Potler, N., Kelly, C., Di Martino, A., Castellanos, F. X., & Milham, M. P. (2011). Resting state functional connectivity correlates of inhibitory control in children with attention-deficit/hyperactivity disorder. Frontiers in Psychiatry, 2, 83.
- Meyer-Lindenberg, A. (1996). The evolution of complexity in human brain development: an EEG study. Electroencephalography and Clinical Neurophysiology, 99, 405–411. · DOI · Paper page
- Mori, S., & van Zijl, P. C. (1995). Diffusion weighting by the trace of the diffusion tensor within a single scan. Magnetic Resonance in Medicine, 33, 41–52. · DOI · Paper page
- Morr, M. L., Shafer, V. L., Kreuzer, J. A., & Kurtzberg, D. (2002). Maturation of mismatch negativity in typically developing infants and preschool children. Ear and Hearing, 23, 118–136. · DOI · Paper page
- Mukherjee, P., & McKinstry, R. C. (2006). Diffusion tensor imaging and tractography of human brain development. Neuroimaging Clinics of North America, 16, 19–43. · DOI
- Murphy, K., & Garavan, H. (2004a). An empirical investigation into the number of subjects required for an event-related fMRI study. NeuroImage, 22, 879–885. · DOI
- Murphy, K., & Garavan, H. (2004b). Artifactual fMRI group and condition differences driven by performance confounds. NeuroImage, 21, 219–228. · DOI
- Naatanen, R., & Alho, K. (1995a). Generators of electrical and magnetic mismatch responses in humans. Brain Topography, 7, 315–320. · DOI
- Nelson, C. A., 3rd, & McCleery, J. P. (2008). Use of event-related potentials in the study of typical and atypical development. Journal of the American Academy of Child and Adolescent Psychiatry, 47, 1252–1261. · DOI
- Nelson, C. A., Monk, C. S., Lin, J., Carver, L. J., Thomas, K. M., & Truwit, C. L. (2000). Functional neuroanatomy of spatial working memory in children. Developmental Psychology, 36, 109–116. · doi:10.1037/0012-1649.36.1.109
- Nunez, P. L. (1981). Electric fields of the brain. New York: Oxford University Press.
- Oun, W., Numenmaa, A., Hamalainen, M., & Golland, P. (2009). Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation. Information Processing in Medical Imaging, 21, 88–100.
- Palmer, E. D., Brown, T. T., Petersen, S. E., & Schlaggar, B. L. (2004). Investigation of the functional neuroanatomy of single word reading and its development. Scientific Studies of Reading, 8, 203–223. · DOI
- Pascual-Marqui, R. D., & Biscay-Lirio, R. (1993). Spatial resolution of neuronal generators based on EEG and MEG measurements. International Journal of Neuroscience, 68, 93–105. · DOI
- Paus, T., Collins, D. L., Evans, A. C., Leonard, G., Pike, B., & Zijdenbos, A. (2001). Maturation of white matter in the human brain: a review of magnetic resonance studies. Brain Research Bulletin, 54, 255–266. · DOI · Paper page
- Pearce, J. W., Crowell, D. H., Tokioka, A., & Pacheco, G. P. (1989). Childhood developmental changes in the auditory P300. Journal of Child Neurology, 4, 100–106. · DOI
- Pfefferbaum, A., Mathalon, D. H., Sullivan, E. V., Rawles, J. M., Zipursky, R. B., & Lim, K. O. (1994). A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. Archives of Neurology, 51, 874–887. · DOI · Paper page
- Pfeifer, J. H., Masten, C. L., Borofsky, L. A., Dapretto, M., Fuligni, A. J., & Lieberman, M. D. (2009). Neural correlates of direct and reflected self-appraisals in adolescents and adults: when social perspective-taking informs self-perception. Child Development, 80, 1016–1038. · DOI · Paper page
- Phelps, M. E., & Mazziotta, J. C. (1985). Positron emission tomography: human brain function and biochemistry. Science, 228, 799–809. · DOI · Paper page
- Pihko, E., Kujala, T., Mickos, A., Antell, H., Alku, P., Byring, R., & Korkman, M. (2005). Magnetic fields evoked by speech sounds in preschool children. Clinical Neurophysiology, 116, 112–119. · DOI
- Plunkett, K., Karmiloff-Smith, A., Bates, E., Elman, J. L., & Johnson, M. H. (1997). Connectionism and developmental psychology. Journal of Child Psycholology and Psychiatry, 38, 53–80. · DOI
- Poldrack, R. A. (2010). Interpreting developmental changes in neuroimaging signals. Human Brain Mapping, 31, 872–878. · DOI · Paper page
- Polich, J. (1993). Cognitive brain potentials. Current Directions in Psychological Science, 2, 175–179. · DOI
- Polich, J. (2007). Updating P300: an integrative theory of P3a and P3b. Clinical Neurophysiology, 118, 2128–2148. · DOI · Paper page
- Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2011). Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage, 59, 2142–2154. · DOI · Paper page
- Power, J.D., Barnes, K.A., Snyder, A.Z., Schlaggar, B.L., & Petersen, S.E. (2012). Steps toward optimizing motion artifact removal in functional connectivity MRI; a reply to Carp. Neuroimage. · DOI · Paper page
- Quartz, S. R., & Sejnowski, T. J. (1997). The neural basis of cognitive development: a constructivist manifesto. The Behavioral and Brain Sciences, 20, 537–556. discussion 556–596. · DOI · Paper page
- Reiss, A. L., Abrams, M. T., Singer, H. S., & Ross, J. L. (1996). Brain development, gender and IQ in children: a volumetric imaging study. Brain, 119, 1763–1774. · DOI · Paper page
- Remijn, G. B., Kikuchi, M., Yoshimura, Y., Shitamichi, K., Ueno, S., Nagao, K., Munesue, T., Kojima, H., & Minabe, Y. (2011). Hemodynamic responses to visual stimuli in cortex of adults and 3- to 4-year-old children. Brain Research, 1383, 242–251. · DOI
- Ressel, V., Wilke, M., Lidzba, K., Lutzenberger, W., & Krageloh-Mann, I. (2008). Increases in language lateralization in normal children as observed using magnetoencephalography. Brain and Language, 106, 167–176. · DOI
- Rossion, B., Kung, C. C., & Tarr, M. J. (2004). Visual expertise with nonface objects leads to competition with the early perceptual processing of faces in the human occipitotemporal cortex. Proceedings of the National Academy of Sciences, 101, 14521–14526. · DOI
- Schlaggar, B. L., Brown, T. T., Lugar, H. M., Visscher, K. M., Miezin, F. M., & Petersen, S. E. (2002). Functional neuroanatomical differences between adults and school-age children in the processing of single words. Science, 296, 1476–1479. · DOI · Paper page
- Schneider, J. F., Il’yasov, K. A., Hennig, J., & Martin, E. (2004). Fast quantitative diffusion-tensor imaging of cerebral white matter from the neonatal period to adolescence. Neuroradiology, 46, 258–266. · DOI · Paper page
- Shehzad, Z., Kelly, A. M., Reiss, P. T., Gee, D. G., Gotimer, K., Uddin, L. Q., Lee, S. H., Margulies, D. S., Roy, A. K., Biswal, B. B., Petkova, E., Castellanos, F. X., & Milham, M. P. (2009). The resting brain: unconstrained yet reliable. Cerebral Cortex, 19, 2209–2229. · DOI · Paper page
- Snook, L., Paulson, L. A., Roy, D., Phillips, L., & Beaulieu, C. (2005). Diffusion tensor imaging of neurodevelopment in children and young adults. NeuroImage, 26, 1164–1173. · DOI · Paper page
- Snyder, A. Z., & Raichle, M. E. (2012). A brief history of the resting state: the Washington University perspective. NeuroImage, 62, 902–910. · DOI
- Sowell, E. R., Thompson, P. M., Holmes, C. J., Jernigan, T. L., & Toga, A. W. (1999). In vivo evidence for post-adolescent brain maturation in frontal and striatal regions. Nature Neuroscience, 2, 859–861. · DOI · Paper page
- Sowell, E. R., Thompson, P. M., Leonard, C. M., Welcome, S. E., Kan, E., & Toga, A. W. (2004). Longitudinal mapping of cortical thickness and brain growth in normal children. Journal of Neuroscience, 24, 8223–8231. · DOI · Paper page
- Stanfield, B.B., & O’Leary, D.D. (1985). The transient corticospinal projection from the occipital cortex during the postnatal development of the rat. Journal of Comparative Neurology, 238. · DOI
- Stanfield, B.B., O’Leary, D.D., & Fricks, C. (1982). Selective collateral elimination in early postnatal development restricts cortical distribution of rat pyramidal tract neurones. Nature, 298. · DOI · Paper page
- Sullivan, E. V., Pfefferbaum, A., Rohlfing, T., Baker, F. C., Padilla, M. L., & Colrain, I. M. (2011). Developmental change in regional brain structure over 7 months in early adolescence: comparison of approaches for longitudinal atlas-based parcellation. NeuroImage, 57, 214–224. · DOI
- Supekar, K., Uddin, L. Q., Prater, K., Amin, H., Greicius, M. D., & Menon, V. (2010). Development of functional and structural connectivity within the default mode network in young children. NeuroImage, 52, 290–301. · DOI · Paper page
- Sutton, S., Braren, M., Zubin, J., & John, E. R. (1965). Evoked-potential correlates of stimulus uncertainty. Science, 150, 1187–1188. · DOI · Paper page
- Sutton, S., Tueting, P., Zubin, J., & John, E. R. (1967). Information delivery and the sensory evoked potential. Science, 155, 1436–1439. · DOI · Paper page
- Suzuki, Y., Matsuzawa, H., Kwee, I. L., & Nakada, T. (2003). Absolute eigenvalue diffusion tensor analysis for human brain maturation. NMR in Biomedicine, 16, 257–260. · DOI
- Taylor, M. J., Batty, M., & Itier, R. J. (2004). The faces of development: a review of early face processing over childhood. Journal of Cognitive Neuroscience, 16, 1426–1442. · DOI · Paper page
- Thatcher, R., Walker, R., & Giudice, S. (1987). Human cerebral hemispheres develop at different rates and ages. Science, 236, 1110–1113. · DOI · Paper page
- Toga, A. W., Thompson, P. M., & Sowell, E. R. (2006). Mapping brain maturation. Trends in Neurosciences, 29, 148–159. · DOI · Paper page
- Travis, K. E., Leonard, M. K., Brown, T. T., Hagler, D. J., Jr., Curran, M., Dale, A. M., Elman, J. L., & Halgren, E. (2011). Spatiotemporal neural dynamics of word understanding in 12- to 18-month-old-infants. Cerebral Cortex, 21, 1832–1839. · DOI
- Uddin, L. Q., Supekar, K., Amin, H., Rykhlevskaia, E., Nguyen, D. A., Greicius, M. D., & Menon, V. (2010). Dissociable connectivity within human angular gyrus and intraparietal sulcus: evidence from functional and structural connectivity. Cerebral Cortex, 20, 2636–2646. · DOI · Paper page
- Uddin, L. Q., Supekar, K., & Menon, V. (2010). Typical and atypical development of functional human brain networks: insights from resting-state FMRI. Frontiers in Systems Neuroscience, 4, 21.
- Uddin, L. Q., Supekar, K. S., Ryali, S., & Menon, V. (2011). Dynamic reconfiguration of structural and functional connectivity across core neurocognitive brain networks with development. Journal of Neuroscience, 31, 18578–18589. · DOI · Paper page
- Vaidya, C. J., Foss-Feig, J., Shook, D., Kaplan, L., Kenworthy, L., & Gaillard, W. D. (2011). Controlling attention to gaze and arrows in childhood: an fMRI study of typical development and Autism Spectrum Disorders. Developmental Science, 14, 911–924. · DOI
- Van Dijk, K. R., Sabuncu, M. R., & Buckner, R. L. (2011). The influence of head motion on intrinsic functional connectivity MRI. NeuroImage, 59, 431–438. · DOI · Paper page
- Wendelken, C., Baym, C. L., Gazzaley, A., & Bunge, S. A. (2011). Neural indices of improved attentional modulation over middle childhood. Developmental Cognitive Neuroscience, 1, 175–186. · DOI
- Wendelken, C., O’Hare, E. D., Whitaker, K. J., Ferrer, E., & Bunge, S. A. (2011). Increased functional selectivity over development in rostrolateral prefrontal cortex. Journal of Neuroscience, 31, 17260–17268. · DOI
- White, N., Roddey, C., Shankaranarayanan, A., Han, E., Rettmann, D., Santos, J., Kuperman, J., & Dale, A. (2010). PROMO: real-time prospective motion correction in MRI using image-based tracking. Magnetic Resonance in Medicine, 63, 91–105. · DOI · Paper page
- White, T., Schmidt, M., Kim, D. I., & Calhoun, V. D. (2010). Disrupted functional brain connectivity during verbal working memory in children and adolescents with schizophrenia. Cerebral Cortex, 21, 510–518. · DOI
- Winkler, I., Karmos, G., & Naatanen, R. (1996). Adaptive modeling of the unattended acoustic environment reflected in the mismatch negativity event-related potential. Brain Research, 742, 239–252. · DOI · Paper page
- Wozniak, J. R., Mueller, B. A., Muetzel, R. L., Bell, C. J., Hoecker, H. L., Nelson, M. L., Chang, P. N., & Lim, K. O. (2011). Inter-hemispheric functional connectivity disruption in children with prenatal alcohol exposure. Alcohol: Clinical and Experimental Research, 35, 849–861. · DOI
- Yakovlev, P. I., & Lecours, A. R. (1967). The myelogenetic cycles of regional maturation of the brain. In A. Minkowski (Ed.), Regional development of the brain in early life (pp. 3–70). Oxford: Blackwell Scientific.
- Yamaguchi, S., & Knight, R. T. (1991). P300 generation by novel somatosensory stimuli. Electroencephalography and Clinical Neurophysiology, 78, 50–55. · DOI
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Metadata
- Authors
- Brown, T. T., & Jernigan, T. L.
- Venue
- Neuropsychology Review
- Published
- 2012-09-25
- Volume
- 22
- Issue
- 4
- Pages
- 313-333
- ISSN
- 1040-7308 (ISSN-L)
- 1573-6660
- OpenAlex
- W2046806246
- Cited by
- 449
- References
- 35
- FWCI
- 5.37
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.springer.com/tdm (tdm)
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