Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 449

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Brain Development During the Preschool Years

Open access
Brown, Timothy T., Jernigan, Terry L.·2012·Neuropsychology Review

Abstract

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s11065-012-9214-1

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 35 references

Research works printed but not linked: 167

  1. 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
  2. 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
  3. Barkovich, A. J. (2000). Concepts of myelin and myelination in neuroradiology. AJNR. American Journal of Neuroradiology, 21, 1099–1109.
  4. Barkovich, A. J. (2005). Magnetic resonance techniques in the assessment of myelin and myelination. Journal of Inherited Metabolic Disease, 28, 311–343. · DOI
  5. 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
  6. Basser, P. J., Mattiello, J., & LeBihan, D. (1994). MR diffusion tensor spectroscopy and imaging. Biophysical Journal, 66, 259–267. · DOI · Paper page
  7. 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
  8. Belliveau, J. W. (1990). Functional NMR imaging of the brain. Ph.D. Thesis, Cambridge, MA: Harvard University.
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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.
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. Chugani, H. T., & Phelps, M. E. (1991). Imaging human brain development with positron emission tomography. Journal of Nuclear Medicine, 32, 23–26.
  31. 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
  32. 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
  33. 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
  34. Cohen, D. (1968). Magnetic field measurements of human alpha rhythm. Science, 161, 784–786. · DOI · Paper page
  35. Cohen, D., & Cuffin, B. N. (1983). Demonstration of useful differences between magnetoencephalogram and electroencephalogram. Electroencephalography and Clinical Neurophysiology, 56, 38–51. · DOI · Paper page
  36. Cohen, D., & Cuffin, B. N. (1991). EEG versus MEG localization accuracy: theory and experiment. Brain Topography, 4, 95–103. · DOI
  37. 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
  38. 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
  39. Courchesne, E. (1977). Event-related brain potentials: comparison between children and adults. Science, 197, 589–592. · DOI · Paper page
  40. 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
  41. Crone, E. A., Poldrack, R. A., & Durston, S. (2010). Challenges and methods in developmental neuroimaging. Human Brain Mapping, 31, 835–837. · DOI
  42. Cuffin, B. N., & Cohen, D. (1979). Comparison of the magnetoencephalogram and electroencephalogram. Electroencephalography and Clinical Neurophysiology, 47, 132–146. · DOI · Paper page
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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.
  55. 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
  56. 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
  57. Fields, R. D., & Burnstock, G. (2006). Purinergic signalling in neuron-glia interactions. Nature Reviews Neuroscience, 7, 423–436. · DOI · Paper page
  58. 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
  59. 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
  60. 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
  61. 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
  62. 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
  63. 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
  64. 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
  65. 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
  66. 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
  67. 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
  68. Halgren, E. (2004). How can intracranial recordings assist MEG source localization? Neurology and Clinical Neurophysiology, 2004, 86.
  69. 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
  70. 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
  71. 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
  72. 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
  73. Hobson, J. A., & McCarley, R. W. (1971). Cortical unit activity in sleep and waking. Electroencephalography and Clinical Neurophysiology, 30, 97–112. · DOI
  74. 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
  75. 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
  76. 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
  77. Hoshi, Y. (2003). Functional near-infrared optical imaging: utility and limitations in human brain mapping. Psychophysiology, 40, 511–520. · DOI · Paper page
  78. 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
  79. Huppi, P. S., & Dubois, J. (2006). Diffusion tensor imaging of brain development. Seminars in Fetal and Neonatal Medicine, 11, 489–497. · DOI · Paper page
  80. 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
  81. Huttenlocher, P. R., & de Courten, C. (1987). The development of synapses in striate cortex of man. Human Neurobiology, 6, 1–9.
  82. 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
  83. Innocenti, G. M., & Price, D. J. (2005). Exuberance in the development of cortical networks. Nature Reviews Neuroscience, 6, 955–965. · DOI · Paper page
  84. 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
  85. 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
  86. 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
  87. Jobsis, F. F. (1977). Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science, 198, 1264–1267. · DOI · Paper page
  88. Johnson, M. H. (2000). Functional brain development in infants: elements of an interactive specialization framework. Child Development, 71, 75–81. · DOI · Paper page
  89. 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
  90. 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
  91. Kennedy, H., & Dehay, C. (2001). Gradients and boundaries: limits of modularity and its influence on the isocortex. Developmental Science, 4, 147–148 [Commentary].
  92. 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
  93. 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
  94. 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
  95. 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
  96. 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
  97. 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
  98. Logothetis, N. K., & Wandell, B. A. (2004). Interpreting the BOLD signal. Annual Review of Physiology, 66, 735–769. · DOI · Paper page
  99. 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
  100. 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
  101. McCarthy, G., & Donchin, E. (1981). A metric for thought: a comparison of P300 latency and reaction time. Science, 211, 77–80. · DOI · Paper page
  102. 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
  103. 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
  104. 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
  105. 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
  106. 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.
  107. 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
  108. 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
  109. 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
  110. Mukherjee, P., & McKinstry, R. C. (2006). Diffusion tensor imaging and tractography of human brain development. Neuroimaging Clinics of North America, 16, 19–43. · DOI
  111. 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
  112. Murphy, K., & Garavan, H. (2004b). Artifactual fMRI group and condition differences driven by performance confounds. NeuroImage, 21, 219–228. · DOI
  113. Naatanen, R., & Alho, K. (1995a). Generators of electrical and magnetic mismatch responses in humans. Brain Topography, 7, 315–320. · DOI
  114. 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
  115. 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
  116. Nunez, P. L. (1981). Electric fields of the brain. New York: Oxford University Press.
  117. 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.
  118. 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
  119. 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
  120. 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
  121. 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
  122. 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
  123. 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
  124. Phelps, M. E., & Mazziotta, J. C. (1985). Positron emission tomography: human brain function and biochemistry. Science, 228, 799–809. · DOI · Paper page
  125. 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
  126. 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
  127. Poldrack, R. A. (2010). Interpreting developmental changes in neuroimaging signals. Human Brain Mapping, 31, 872–878. · DOI · Paper page
  128. Polich, J. (1993). Cognitive brain potentials. Current Directions in Psychological Science, 2, 175–179. · DOI
  129. Polich, J. (2007). Updating P300: an integrative theory of P3a and P3b. Clinical Neurophysiology, 118, 2128–2148. · DOI · Paper page
  130. 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
  131. 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
  132. 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
  133. 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
  134. 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
  135. 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
  136. 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
  137. 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
  138. 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
  139. 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
  140. 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
  141. Snyder, A. Z., & Raichle, M. E. (2012). A brief history of the resting state: the Washington University perspective. NeuroImage, 62, 902–910. · DOI
  142. 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
  143. 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
  144. 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
  145. 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
  146. 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
  147. 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
  148. Sutton, S., Braren, M., Zubin, J., & John, E. R. (1965). Evoked-potential correlates of stimulus uncertainty. Science, 150, 1187–1188. · DOI · Paper page
  149. Sutton, S., Tueting, P., Zubin, J., & John, E. R. (1967). Information delivery and the sensory evoked potential. Science, 155, 1436–1439. · DOI · Paper page
  150. 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
  151. 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
  152. Thatcher, R., Walker, R., & Giudice, S. (1987). Human cerebral hemispheres develop at different rates and ages. Science, 236, 1110–1113. · DOI · Paper page
  153. Toga, A. W., Thompson, P. M., & Sowell, E. R. (2006). Mapping brain maturation. Trends in Neurosciences, 29, 148–159. · DOI · Paper page
  154. 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
  155. 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
  156. 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.
  157. 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
  158. 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
  159. 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
  160. 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
  161. 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
  162. 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
  163. 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
  164. 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
  165. 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
  166. 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.
  167. Yamaguchi, S., & Knight, R. T. (1991). P300 generation by novel somatosensory stimuli. Electroencephalography and Clinical Neurophysiology, 78, 50–55. · DOI

Cited by

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)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.