Cited by 1,322Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesNeural and Behavioral Psychology Studies

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Structural Maturation of Neural Pathways in Children and Adolescents: In Vivo Study

Paus, Tomáš, Zijdenbos, Alex, Worsley, Keith, Collins, D. Louis, Blumenthal, Jonathan, Giedd, Jay N., Rapoport, Judith L., Evans, Alan C.·1999·Science

DOI 10.1126/science.283.5409.1908

Open this paper in CoChat — free account

Abstract

Structural maturation of fiber tracts in the human brain, including an increase in the diameter and myelination of axons, may play a role in cognitive development during childhood and adolescence. A computational analysis of structural magnetic resonance images obtained in 111 children and adolescents revealed age-related increases in white matter density in fiber tracts constituting putative corticospinal and frontotemporal pathways. The maturation of the corticospinal tract was bilateral, whereas that of the frontotemporal pathway was found predominantly in the left (speech-dominant) hemisphere. These findings provide evidence for a gradual maturation, during late childhood and adolescence, of fiber pathways presumably supporting motor and speech functions.

Integrity signals

Registry

Crossref · 10.1126/science.283.5409.1908

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The motor theory of speech perception revised
Liberman, A. M., & Mattingly, I. G. (1985) · Cognition · doi:10.1016/0010-0277(85)90021-6 · Cited by 2,970
Fiber composition of the human corpus callosum
Aboitiz, F., Scheibel, A. B., Fisher, R. S., & Eran Zaidel, B. (1992) · Brain Research · doi:10.1016/0006-8993(92)90178-c · Cited by 1,467
The effect of age on the non-haemin iron in the human brain
Hallgren, B., & Sourander, P. (1958) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1958.tb12607.x · Cited by 1,427
A Quantitative Magnetic Resonance Imaging Study of Changes in Brain Morphology From Infancy to Late Adulthood
Pfefferbaum, A., Mathalon, D. H., Sullivan, E. V., Rawles, J. M., Zipursky, R. B., & Lim, K. O. (1994) · Archives of Neurology · doi:10.1001/archneur.1994.00540210046012 · Cited by 1,363
Quantitative magnetic resonance imaging of human brain development: ages 4–18
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., et al. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.4.551 · Cited by 1,024
Self-citation
Automatic 3‐D model‐based neuroanatomical segmentation
Collins, D. L., Holmes, C. J., Peters, T. M., & Evans, A. C. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030304 · Cited by 975
Self-citation
Neurobiological Basis of Speech: A Case for the Preeminence of Temporal Processing
Tallal, P. A., Miller, S., & FITCH, R. H. (1993) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1993.tb22957.x · Cited by 937
Brain development, gender and IQ in children
Reiss, A. L., Abrams, M. T., Singer, H. S., ROSS, J. L., & DENCKLA, M. B. (1996) · Brain · doi:10.1093/brain/119.5.1763 · Cited by 902
Neuronal responses to magnetic stimulation reveal cortical reactivity and connectivity
Ilmoniemi, R. J., Virtanen, J. P., Ruohonen, J., Karhu, J., Aronen, H. J., Näätänen, R., & Katila, T. E. (1997) · Neuroreport · doi:10.1097/00001756-199711100-00024 · Cited by 799
Myelination of a Key Relay Zone in the Hippocampal Formation Occurs in the Human Brain During Childhood, Adolescence, and Adulthood
Benes, F. M. (1994) · Archives of General Psychiatry · doi:10.1001/archpsyc.1994.03950060041004 · Cited by 744

Flagged first, then by citations

Show all 42 references

Research works printed but not linked: 6

; P. I. Yakovlev and A. R. Lecours in Regional Development of the Brain in Early Life A. Minkowski Ed. (Blackwell Scientific Oxford 1967) pp. 3–70;
]. The Institutional Review Board of NIMH approved the protocol. Written consent from the parents and assent from the children were obtained.
] we first transformed the acquired images into standardized stereotactic space in a linear fashion [J. Talairach and P. Tournoux Co-planar Stereotactic Atlas of the Human Brain: 3-Dimensional Proportional System. An Approach to Cerebral Imaging (Thieme Stuttgart 1988)] followed by nonlinear deformation to match a template brain. These registration procedures are based on an automatic multiscale feature-matching algorithm [
]. Subsequently a binary white matter mask was generated for each subject by means of an automatic tissue-classification algorithm. This algorithm is based on classification that uses an artificial neural network classifier (25). For each individual T 1 -weighted image we trained the algorithm by providing the stereotactic coordinates of brain regions (voxels) with a minimal 90% likelihood of being gray matter white matter or cerebrospinal fluid [A. Zijdenbos et al. Proceedings of the 4th International Conference on Visualization in Biomedical Computing K. H. Hohne and R. Kikinis Eds. (Springer Berlin 1996) pp. 439–448; V. Kollokian thesis Concordia University Montreal (1996)]. The white matter masks obtained in this way were blurred using a Gaussian smoothing kernel (full width at half-maximum 10 mm); such a smoothing process averages the binary (0 or 1) values of neighboring voxels in 3D space thus increasing signal-to-noise ratio. The voxel values in the resulting blurred white matter masks are referred to as white matter density (6).
Moore J., Guan Y., Wu B. J., Assoc. Res. Otolaryngol. Abstr. 20, 28 (1997).
Vymazal J., et al., Magn. Reson. Imaging 36, 56 (1996);

Sorted by citations

Items 201–300 of 998

White Matter Development in Adolescence: Diffusion Tensor Imaging and Meta-Analytic Results
Peters, B. D., Szeszko, P. R., Raduà, J., Ikuta, T., Gruner, P., DeRosse, P., Zhang, J., Giorgio, A., Qiu, D., Tapert, S. F., et al. (2012) · Schizophrenia Bulletin · doi:10.1093/schbul/sbs054 · Cited by 214
Microstructural connectivity of the arcuate fasciculus in adolescents with high-functioning autism
Fletcher, P. T., Whitaker, R., Tao, R., DuBray, M. B., Froehlich, A. L., Ravichandran, C. T., Alexander, A. L., Bigler, E. D., LANGE, N. D., & Lainhart, J. E. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.083 · Cited by 206
Handedness and cerebral anatomical asymmetries in young adult males
Hervé, P., Crivello, F., Perchey, G., Mazoyer, B. M., & Tzourio‐Mazoyer, N. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.031 · Cited by 208
Multidisciplinary perspectives on attention and the development of self-regulation
Berger, A., Kofman, O., Livneh, U., & Henik, A. (2007) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2007.06.004 · Cited by 199
The effect of early musical training on adult motor performance: evidence for a sensitive period in motor learning
Watanabe, D. H., Savion‐Lemieux, T., & Penhune, V. B. (2006) · Experimental Brain Research · doi:10.1007/s00221-006-0619-z · Cited by 205
Voxel-based morphometric analyses of the brain in children and adolescents prenatally exposed to alcohol
Sowell, E. R., Thompson, P. M., Mattson, S. N., Tessner, K. D., Jernigan, T. L., Riley, E. P., & Toga, A. W. (2001) · Neuroreport · doi:10.1097/00001756-200103050-00018 · Cited by 198
Sensitive periods in human development: Evidence from musical training
Penhune, V. B. (2011) · Cortex · doi:10.1016/j.cortex.2011.05.010 · Cited by 221
The Study of Developmental Psychopathology in Adolescence: Integrating Affective Neuroscience with the Study of Context
Steinberg, L. D., Dahl, R. E., Keating, D. P., Kupfer, D. J., Masten, A. S., & Pine, D. S. (2015) · Wiley eBooks · doi:10.1002/9780470939390.ch18 · Cited by 202
Computational anatomy: shape, growth, and atrophy comparison via diffeomorphisms
Miller, M. I. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.021 · Cited by 202
Progressive Changes in the Development Toward Schizophrenia: Studies in Subjects at Increased Symptomatic Risk
Wood, S. J., Pantelis, C., Velakoulis, D., Yücel, M., Fornito, A., & McGorry, P. D. (2007) · Schizophrenia Bulletin · doi:10.1093/schbul/sbm149 · Cited by 195
The NIH MRI study of normal brain development (Objective-2): Newborns, infants, toddlers, and preschoolers
Almli, C. R., Rivkin, M. J., & McKinstry, R. C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.08.058 · Cited by 193
Pursuit eye movement deficits in autism
Takarae, Y. (2004) · Brain · doi:10.1093/brain/awh307 · Cited by 193
White matter pathology in phenylketonuria☆
Anderson, P. J., & Leuzzi, V. (2009) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2009.10.005 · Cited by 200
Functional connectivity of frontal cortex in healthy and ADHD children reflected in EEG coherence
Murias, M., Swanson, J. M., & Srinivasan, R. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl089 · Cited by 190
Changes in white matter microstructure in the developing brain—A longitudinal diffusion tensor imaging study of children from 4 to 11 years of age
Krogsrud, S. K., Fjell, A. M., Tamnes, C. K., Grydeland, H., Mork, L., Due-Tønnessen, P., Bjørnerud, A., Sampaio-Baptista, C., Andersson, J., Johansen-Berg, H., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.017 · Cited by 190
Right amygdala volume in adolescent and young adult offspring from families at high risk for developing alcoholism
Hill, S. Y., Bellis, M. D. D., Keshavan, M. S., Lowers, L., Shen, S., Hall, J., & Pitts, T. (2001) · Biological Psychiatry · doi:10.1016/s0006-3223(01)01088-5 · Cited by 194
Mapping White Matter Integrity and Neurobehavioral Correlates in Children with Fetal Alcohol Spectrum Disorders
Sowell, E. R., Johnson, A., Kan, E., Lu, L. H., Horn, J. D. V., Toga, A. W., O’Connor, M. J., & Bookheimer, S. Y. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5067-07.2008 · Cited by 190
Early visual deprivation induces structural plasticity in gray and white matter
Noppeney, U., Friston, K. J., Ashburner, J., Frackowiak, R. S. J., & Price, C. J. (2005) · Current Biology · doi:10.1016/j.cub.2005.06.053 · Cited by 193
Mapping cortical asymmetry and complexity patterns in normal children
Blanton, R. E., Levitt, J. G., Thompson, P. M., Narr, K. L., Capetillo-Cunliffe, L., Nobel, A., Singerman, J. D., McCracken, J. T., & Toga, A. W. (2001) · Psychiatry Research Neuroimaging · doi:10.1016/s0925-4927(01)00091-9 · Cited by 186
The development of coordination for reach-to-grasp movements in children
Schneiberg, S., Sveistrup, H., McFadyen, B. J., McKinley, P. A., & Levin, M. F. (2002) · Experimental Brain Research · doi:10.1007/s00221-002-1156-z · Cited by 188
Neuroprogression in bipolar disorder
Schneider, M. R., DelBello, M. P., McNamara, R. K., Strakowski, S. M., & Adler, C. M. (2012) · Bipolar Disorders · doi:10.1111/j.1399-5618.2012.01024.x · Cited by 186
Understanding Drug Addiction: A Neuropsychological Perspective
Yücel, M., Lubman, D. I., Solowij, N., & Brewer, W. J. (2007) · Australian & New Zealand Journal of Psychiatry · doi:10.1080/00048670701689444 · Cited by 198
Cerebral gray and white matter reductions and clinical correlates in patients with early onset schizophrenia
Paillère-Martinot, M. L., Caclin, A., Eric Artiges, A., Poline, J., Joliot, M., Mallet, L., Recasens, C., Attar-Levy, D., & Martinot, J. (2001) · Schizophrenia Research · doi:10.1016/s0920-9964(00)00137-7 · Cited by 186
Heritability of regional and global brain structure at the onset of puberty: a magnetic resonance imaging study in 9-year-old twin pairs
Peper, J. S., Schnack, H. G., Brouwer, R. M., Van Baal, G. C. M., Pjetri, E., Székely, E., van Leeuwen, M., van den Berg, S. M., Collins, D. L., Evans, A. C., et al. (2009) · Human Brain Mapping · doi:10.1002/hbm.20660 · Cited by 177
Self-citation
Development of the Social Brain during Adolescence
Blakemore, S.-J. (2008) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470210701508715 · Cited by 184
Motor Development during Infancy and Early Childhood: Overview and Suggested Directions for Research
Malina, R. M. (2004) · International Journal of Sport and Health Science · doi:10.5432/ijshs.2.50 · Cited by 185
Comparison of white matter integrity between autism spectrum disorder subjects and typically developing individuals: a meta-analysis of diffusion tensor imaging tractography studies
Aoki, Y. Y., Abe, O., Nippashi, Y., & Yamasue, H. (2013) · Molecular Autism · doi:10.1186/2040-2392-4-25 · Cited by 187
Altered white matter microstructure in adolescent substance users
Bava, S., Frank, L. R., McQueeny, T. M., Schweinsburg, B. C., Schweinsburg, A. D., & Tapert, S. F. (2009) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2009.04.005 · Cited by 182
GABAergic Function as a Limiting Factor for Prefrontal Maturation during Adolescence
Caballero, A. C., & Tseng, K. Y. (2016) · Trends in Neurosciences · doi:10.1016/j.tins.2016.04.010 · Cited by 188
A comprehensive study of whole-brain functional connectivity in children and young adults
Jolles, D. D., van Buchem, M. A., Crone, E. A., & Rombouts, S. A. R. B. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq104 · Cited by 181
Mutant Huntingtin Downregulates Myelin Regulatory Factor-Mediated Myelin Gene Expression and Affects Mature Oligodendrocytes
Huang, B., Wei, W., Wang, G., Gaertig, M. A., Feng, Y., Wang, W., Li, X., & Li, S. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.026 · Cited by 179
Atlas-based analysis of neurodevelopment from infancy to adulthood using diffusion tensor imaging and applications for automated abnormality detection
Faria, A. V., Zhang, J., Oishi, K., Li, X., Jiang, H., Akhter, K., Hermoye, L., Lee, S.-K., Hoon, A., & Stashinko, E. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.238 · Cited by 180
Prefrontal cortex and drug abuse vulnerability: Translation to prevention and treatment interventions
Perry, J. L., Joseph, J. E., Jiang, Y., Zimmerman, R. S., Kelly, T. H., Darna, M., Huettl, P., Dwoskin, L. P., & Bardo, M. T. (2011) · Brain Research Reviews · doi:10.1016/j.brainresrev.2010.09.001 · Cited by 180
Cognitive efficiency on a match to sample task decreases at the onset of puberty in children
McGivern, R. F., Andersen, J., Byrd, D., Mutter, K. L., & Reilly, J. (2002) · Brain and Cognition · doi:10.1016/s0278-2626(02)00012-x · Cited by 180
Articulatory Movements in Adolescents
Walsh, B. M., & Smith, A. (2002) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2002/090 · Cited by 180
Weighted Fourier Series Representation and Its Application to Quantifying the Amount of Gray Matter
Chung, M. K., Dalton, K. M., Shen, L., Evans, A. C., & Davidson, R. J. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.892519 · Cited by 179
Self-citation
White matter fractional anisotrophy differences and correlates of diagnostic symptoms in autism
Cheung, C., Chua, S. E., Cheung, V., Khong, P. L., Tai, K. S., Wong, T. K. W., Ho, T. P., & McAlonan, G. M. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2009.02086.x · Cited by 178
Music training alters the course of adolescent auditory development
Tierney, A. T., Krizman, J., & Kraus, N. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1505114112 · Cited by 171
Global and local development of gray and white matter volume in normal children and adolescents
Wilke, M., Krägeloh‐Mann, I., & Holland, S. K. (2006) · Experimental Brain Research · doi:10.1007/s00221-006-0732-z · Cited by 178
White Matter Changes of Neurite Density and Fiber Orientation Dispersion during Human Brain Maturation
Chang, Y. S., Owen, J. P., Pojman, N. J., Thieu, T., Bukshpun, P., Wakahiro, M. L. J., Berman, J. I., Roberts, T. P. L., Nagarajan, S. S., Sherr, E. H., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0123656 · Cited by 178
Sex-specific neurotoxic effects of heavy metal pollutants: Epidemiological, experimental evidence and candidate mechanisms
Gade, M., Comfort, N. T., & Ré, D. B. (2021) · Environmental Research · doi:10.1016/j.envres.2021.111558 · Cited by 182
Breath holding reveals differences in fMRI BOLD signal in children and adults
Thomason, M. E., Burrows, B. E., Gabrieli, J. D. E., & Glover, G. H. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.026 · Cited by 174
Biological Foundations and Origin of Syntax
(2009) · The MIT Press eBooks · doi:10.7551/mitpress/9780262013567.001.0001 · Cited by 175
Development of the corpus callosum in childhood, adolescence and early adulthood
Keshavan, M. S., Diwadkar, V. A., DeBellis, M. D., Dick, E. L., Kotwal, R., Rosenberg, D. R., Sweeney, J. A., Minshew, N. J., & Pettegrew, J. W. (2002) · Life Sciences · doi:10.1016/s0024-3205(02)01492-3 · Cited by 174
Brain ontogeny and life history in Pleistocene hominins
Hublin, J.-J., Neubauer, S., & Gunz, P. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0062 · Cited by 173
Neurocognitive and neuroimaging evidence of behavioural dysregulation in human drug addiction: implications for diagnosis, treatment and prevention
Yücel, M., & Lubman, D. I. (2007) · Drug and Alcohol Review · doi:10.1080/09595230601036978 · Cited by 169
Characterization of atypical language activation patterns in focal epilepsy
Berl, M. M., Zimmaro, L. A., Khan, O. I., Dustin, I. M., Ritzl, E. K., Duke, E. S., Sepeta, L. N., Sato, S., Theodore, W. H., & Gaillard, W. D. (2013) · Annals of Neurology · doi:10.1002/ana.24015 · Cited by 174
Differentiating maturational and aging-related changes of the cerebral cortex by use of thickness and signal intensity
Westlye, L. T., Walhovd, K. B., Dale, A. M., Bjørnerud, A., Due‐Tønnessen, P., Engvig, A., Grydeland, H., Tamnes, C. K., Østby, Y., & Fjell, A. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.056 · Cited by 178
Aging Affects Hemispheric Asymmetry in the Neural Representation of Speech Sounds
Bellis, T. J., Nicol, T. G., & Kraus, N. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-02-00791.2000 · Cited by 171
Variability of Brain Signals Processed Locally Transforms into Higher Connectivity with Brain Development
Vakorin, V. A., Lippé, S., & McIntosh, A. R. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3153-10.2011 · Cited by 184
Adolescent binge ethanol treatment alters adult brain regional volumes, cortical extracellular matrix protein and behavioral flexibility
Coleman, L. G., Liu, W., Oguz, I., Styner, M., & Crews, F. T. (2014) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2013.11.021 · Cited by 170
Hippocampal Maturation Drives Memory from Generalization to Specificity
Keresztes, A., Ngo, C. T., Lindenberger, U., Werkle‐Bergner, M., & Newcombe, N. S. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.05.004 · Cited by 170
Temporal lobe morphology in normal aging and traumatic brain injury.
Bigler, E. D., Anderson, C. V., Blatter, D. D., & Andersob, C. V. (2002) · PubMed Central · Cited by 168
A framework for computational anatomy
Thompson, P. M., & Toga, A. W. (2002) · Computing and Visualization in Science · doi:10.1007/s00791-002-0084-6 · Cited by 169
Waves of Maturation and Senescence in Micro-structural MRI Markers of Human Cortical Myelination over the Lifespan
Grydeland, H., Vértes, P. E., Váša, F., Romero-García, R., Whitaker, K. J., Alexander‐Bloch, A. F., Bjørnerud, A., Patel, A. X., Sederevičius, D., Tamnes, C. K., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy330 · Cited by 156
Resting-state fMRI can reliably map neural networks in children
Thomason, M. E., Dennis, E. L., Joshi, A. A., Joshi, S. H., Dinov, I. D., Chang, C., Henry, M. L., Johnson, R. F., Thompson, P. M., Toga, A. W., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.080 · Cited by 170
Diffusion tensor imaging of normal brain development
Yoshida, S., Oishi, K., Faria, A. V., & Mori, S. (2013) · Pediatric Radiology · doi:10.1007/s00247-012-2496-x · Cited by 162
The development of a noisy brain.
McIntosh, A. R., Kovacevic, N., Lippé, S., Garrett, D. D., Grady, C., & Jirsa, V. (2010) · PubMed · Cited by 160
Prospective relations between maternal autonomy support and child executive functioning: Investigating the mediating role of child language ability
Matte‐Gagné, C., & Bernier, A. (2011) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2011.06.006 · Cited by 162
Early identification and intervention in cerebral palsy
Herskind, A., Greisen, G. O., & Nielsen, J. B. (2014) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.12531 · Cited by 177
Focal white matter density changes in schizophrenia: reduced inter-hemispheric connectivity
Pol, H. E. H., Schnack, H. G., Mandl, R. C. W., Cahn, W., Collins, D. L., Evans, A. C., & Kahn, R. S. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.09.026 · Cited by 159
Self-citation
Short-Term Consumption of Sucralose with, but Not without, Carbohydrate Impairs Neural and Metabolic Sensitivity to Sugar in Humans
Dalenberg, J. R., Patel, B. P., Denis, R., Veldhuizen, M. G., Nakamura, Y., Vinke, P. C., Luquet, S. H., & Small, D. M. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.01.014 · Cited by 163
The development of corpus callosum microstructure and associations with bimanual task performance in healthy adolescents
Muetzel, R. L., Collins, P. F., Mueller, B. A., Schissel, A. M., Lim, K. O., & Luciana, M. M. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.10.018 · Cited by 157
Rhythm synchronization performance and auditory working memory in early- and late-trained musicians
Bailey, J. A., & Penhune, V. B. (2010) · Experimental Brain Research · doi:10.1007/s00221-010-2299-y · Cited by 174
Differential maturation of brain signal complexity in the human auditory and visual system
Lippé, S. (2009) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.048.2009 · Cited by 173
Less white matter concentration in autism: 2D voxel-based morphometry
Chung, M. K., Dalton, K. M., Alexander, A. L., & Davidson, R. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.04.037 · Cited by 155
A primal sketch of the cortex mean curvature: A morphogenesis based approach to study the variability of the folding patterns
Cachia, A., Mangin, J., Rivière, D., Kherif, F., Boddaert, N., Andrade, A., Orfanos, D. P., Poline, J.-B., Isabelle Bloch, A., Zilbovicius, M., et al. (2003) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.814781 · Cited by 153
Effects of Binge Drinking on the Developing Brain
Jones, S. A. (2018) · Alcohol research · doi:10.35946/arcr.v39.1.11 · Cited by 157
Brain Noise Is Task Dependent and Region Specific
Mišić, B., Mills, T., Taylor, M. J., & McIntosh, A. R. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00648.2010 · Cited by 157
Effects of Intestinal Microbiota on Brain Development in Humanized Gnotobiotic Mice
Lu, J. N., Lu, L., Yu, Y., Cluette‐Brown, J. E., Martin, C. R., & Claud, E. C. (2018) · Scientific Reports · doi:10.1038/s41598-018-23692-w · Cited by 154
Social behavior and social stress in adolescence: A focus on animal models
Buwalda, B., Geerdink, M., Vidal, J., & Koolhaas, J. M. (2010) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.10.004 · Cited by 157
The plasticity of the superior longitudinal fasciculus as a function of musical expertise: a diffusion tensor imaging study
Oechslin, M. S. (2010) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.076.2009 · Cited by 152
Development of pendulum mechanism and kinematic coordination from the first unsupported steps in toddlers
Ivanenko, Y. P., Dominici, N., Cappellini, G., Dan, B., Cheron, G. A., & Lacquaniti, F. (2004) · Journal of Experimental Biology · doi:10.1242/jeb.01214 · Cited by 151
Maturation of action monitoring from adolescence to adulthood: an ERP study
Hogan, A. M., Vargha‐Khadem, F., Kirkham, F. J., & Baldeweg, T. (2005) · Developmental Science · doi:10.1111/j.1467-7687.2005.00444.x · Cited by 149
Developmental changes in cerebral grey and white matter volume from infancy to adulthood
Groeschel, S., Vollmer, B., King, M. D., & Connelly, A. (2010) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2010.06.004 · Cited by 147
Prenatal and adolescent exposure to tobacco smoke modulates the development of white matter microstructure
Jacobsen, L. K., Picciotto, M. R., Heath, C. J., Frost, S. J., Tsou, K. A., Dwan, R. A., Jackowski, M. P., Constable, R. T., & Mencl, W. E. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2402-07.2007 · Cited by 147
Effects of alcohol use initiation on brain structure in typically developing adolescents
Luciana, M., Collins, P. F., Muetzel, R. L., & Lim, K. O. (2013) · The American Journal of Drug and Alcohol Abuse · doi:10.3109/00952990.2013.837057 · Cited by 145
Increased Marijuana Use and Gender Predict Poorer Cognitive Functioning in Adolescents and Emerging Adults
Lisdahl, K. M., & Price, J. S. (2012) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617712000276 · Cited by 163
Third Pathophysiology of Prenatal Cocaine Exposure
Lester, B. M., & Padbury, J. F. (2009) · Developmental Neuroscience · doi:10.1159/000207491 · Cited by 148
Adolescent cognitive control and reward processing: Implications for risk taking and substance use
Geier, C. F. (2013) · Hormones and Behavior · doi:10.1016/j.yhbeh.2013.02.008 · Cited by 160
Development of Tract-Specific White Matter Pathways During Early Reading Development in At-Risk Children and Typical Controls
Wang, Y., Mauer, M. V., Raney, T., Peysakhovich, B., Becker, B. L. C., Sliva, D. D., & Gaab, N. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw095 · Cited by 148
Development of upper limb proprioceptive accuracy in children and adolescents
Goble, D. J., Lewis, C. A., Hurvitz, E. A., & Brown, S. H. (2005) · Human Movement Science · doi:10.1016/j.humov.2005.05.004 · Cited by 145
Pubertal neuromaturation, stress sensitivity, and psychopathology
WALKER, E. F., SABUWALLA, Z., & HUOT, R. (2004) · Development and Psychopathology · doi:10.1017/s0954579404040027 · Cited by 144
A developmental perspective on underage alcohol use.
Masten, A. S., Faden, V. B., Zucker, R. A., & SPEAR, L. P. (2009) · Europe PMC (PubMed Central) · Cited by 143
Developmental disruptions in neural connectivity in the pathophysiology of schizophrenia
Karlsgodt, K. H., Sun, D., Jimenez, A. M., Lutkenhoff, E. S., Willhite, R., van Erp, T. G. M., & Cannon, T. D. (2008) · Development and Psychopathology · doi:10.1017/s095457940800062x · Cited by 149
Developmental Increase in Top–Down and Bottom–Up Processing in a Phonological Task: An Effective Connectivity, fMRI Study
Bitan, T., Cheon, J., Lu, D., Burman, D. D., & Booth, J. R. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21065 · Cited by 144
Effects of Gender and Age on Motor Exam in Typically Developing Children
Larson, J. C. G., Mostofsky, S. H., Goldberg, M. C., Cutting, L. E., DENCKLA, M. B., & Mahone, E. M. (2007) · Developmental Neuropsychology · doi:10.1080/87565640701361013 · Cited by 143
Sex differences in adolescent white matter architecture
Bava, S., Boucquey, V., Goldenberg, D., Thayer, R. E., Ward, M. E., Jacobus, J., & Tapert, S. F. (2010) · Brain Research · doi:10.1016/j.brainres.2010.12.051 · Cited by 148
Normative Development of White Matter Tracts: Similarities and Differences in Relation to Age, Gender, and Intelligence
Clayden, J. D., Jentschke, S., Muñoz, M., Cooper, J. M., Chadwick, M. J., Banks, T., Clark, C., & Vargha‐Khadem, F. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr243 · Cited by 143
The change of the brain activation patterns as children learn algebra equation solving
Qin, Y., Carter, C. S., Silk, E. M., Stenger, V. A., Fissell, K., Goode, A., & Anderson, J. R. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0401227101 · Cited by 142
Differences Between Children and Adults: Implications for Risk Assessment at California EPA
Miller, M. D., Marty, M. A., Arcus-Arth, A., Brown, J., Morry, D. W., & Sandy, M. S. (2002) · International Journal of Toxicology · doi:10.1080/10915810290096630 · Cited by 146
Orbital prefrontal cortex volume correlates with social cognitive competence
Powell, J., Lewis, P. A., Dunbar, R., García‐Fiñana, M., & Roberts, N. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.08.004 · Cited by 136
Glutamatergic dysfunction in schizophrenia: From basic neuroscience to clinical psychopharmacology
Paz, R. D., Tardito, S., Atzori, M., & Tseng, K. Y. (2008) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2008.06.005 · Cited by 145
Beyond age and gender: relationships between cortical and subcortical brain volume and cognitive-motor abilities in school-age children
Pangelinan, M. M., Zhang, G., VanMeter, J. W., Clark, J. E., Hatfield, B. D., & Haufler, A. J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.021 · Cited by 141
Preferential Detachment During Human Brain Development: Age- and Sex-Specific Structural Connectivity in Diffusion Tensor Imaging (DTI) Data
Lim, S. I., Han, C. E., Uhlhaas, P. J., & Kaiser, M. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht333 · Cited by 154
Normal white matter development from infancy to adulthood: Comparing diffusion tensor and high b value diffusion weighted MR images
Bashat, D. B., Ben-Sira, L., Graif, M., Pianka, P., Hendler, T., Cohen, Y., & Assaf, Y. (2005) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20281 · Cited by 158
Cortical EEG correlates of successful memory encoding: Implications for lifespan comparisons
Werkle‐Bergner, M., Müller, V., Li, S., & Lindenberger, U. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.009 · Cited by 147
Mapping of Histologically Identified Long Fiber Tracts in Human Cerebral Hemispheres to the MRI Volume of a Reference Brain: Position and Spatial Variability of the Optic Radiation
Bürgel, U., Schormann, T., Schleicher, A., & Zilles, K. (1999) · NeuroImage · doi:10.1006/nimg.1999.0497 · Cited by 140
The frontal cortex and the criminal justice system
Zeki, S., Goodenough, O. R., & Sapolsky, R. M. (2004) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2004.1547 · Cited by 149
Annual research review: on the developmental neuropsychology of substance use disorders
J. Conrod, P., & Nikolaou, K. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12516 · Cited by 137

Authors: Paus, T., Zijdenbos, A., Worsley, K., Collins, D. L., Blumenthal, J., Giedd, J. N., Rapoport, J. L., & Evans, A. C.
Affiliations: Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Quebec H3A 2B4, Canada.
Montreal Neurological Institute and Hospital (CA)
National Institutes of Health (US)
ORCID: Collins, D. Louis
Giedd, Jay N.
Evans, Alan C.
Venue: Science
Publisher: American Association for the Advancement of Science (AAAS)
Published: 1999-03-19
Volume: 283
Issue: 5409
Pages: 1908-1911
ISSN: 0036-8075 (ISSN-L)
1095-9203
DOI: 10.1126/science.283.5409.1908
OpenAlex: W2089127919
Cited by: 1,322
References: 42
Citations by year: 2026: 11 · 2025: 21 · 2024: 15 · 2023: 40 · 2022: 26 · 2021: 30 · 2020: 39 · 2019: 28 · 2018: 42 · 2017: 46 · 2016: 63 · 2015: 58 · 2014: 55 · 2013: 96 · 2012: 56
FWCI: 35.70
Type: journal article
Language: en
Open access: closed
Locations: Science (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords: white matter maturation, corticospinal tract, fiber tracts, myelination, axon diameter, cognitive development, children, adolescents, hemispheric lateralization, motor function, structural MRI
MeSH terms: Adolescent, Aging, Axons, Brain, Brain Mapping, Child, Child, Preschool, Female, Frontal Lobe, Humans, Magnetic Resonance Imaging, Male, Motor Skills, Myelin Sheath, Nerve Fibers, Neural Conduction, Neural Pathways, Synaptic Transmission, Regression Analysis, Speech, Spinal Cord, Temporal Lobe

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

Structural Maturation of Neural Pathways in Children and Adolescents: In Vivo Study

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks