The DOI matches its Crossref record; 95 of the 97 references it cites were found in a registry or an index.
Quantitative diffusion tensor tractography of association and projection fibers in normally developing children and adolescents.
Open accessAbstract
Whole-brain diffusion tensor tractography (DTT) at high signal-to-noise ratio and angular and spatial resolutions were utilized to study the effects of age, sex differences, and lateral asymmetries of 6 white matter pathways (arcuate fasciculus [AF], inferior longitudinal fasciculus, inferior fronto-occipital fasciculus [IFOF], uncinate fasciculus [UF], corticospinal tract [CST], and somatosensory pathway [SS]) in 31 right-handed children (6-17 years). Fractional anisotropy (FA), a measure of the orientational variance in water molecular diffusivity, and the magnitude of water diffusivity (parallel, perpendicular, and mean diffusivity) along the pathways were quantified. Three major patterns of maturation were observed: 1) significant increase in FA with age, accompanied by significant decreases in all 3 diffusivities (e.g., left IFOF); 2) significant decreases in all three diffusivities with age without significant changes in FA (e.g., left CST); and 3) no significant age-related changes in FA or diffusivity (e.g., SS). Sex differences were minimal. Many pathways showed lateral asymmetries. In the right hemisphere, the frontotemporal (FT) segment of AF was not visualized in a substantial (29%) number of participants. FA was higher in the left hemisphere in the FT segment of AF, UF, and CST, whereas it was lower in the frontoparietal segment of AF. This study provides normative data essential for the interpretation of pediatric brain DTT measurements in both health and disease.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Age-related change in microstructure of white matter during childhood and adolescence is measurable using diffusion tensor imaging (DTI) (Lebel, Walker, Leemans, Phillips, & Beaulieu, 2008;Eluvathingal, Hasan, Kramer, Fletcher, & Ewing-Cobbs, 2007;Snook, Paulson, Roy, Phillips, & Beaulieu, 2005).”
From White Matter Microstructure in Superior Longitudinal Fasciculus Associated with Spatial Working Memory Performance in Children (2011) · cites this paper as Eluvathingal et al., 2007
Citations
Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Beckett, A. H., Rowland, M., & TURNER, P. (1965) · The Lancet · doi:10.1016/s0140-6736(65)91037-8 · Cited by 16,917
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
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 · cited 2×
“Longitudinal studies using MRI volumetric analysis and dynamic cortical mapping in youth aged 4--21 years show that gray matter density increases first in primary sensorimotor cortices and in frontal and occipital poles (Giedd et al. 1999; Gogtay et al. 2004; Lenroot and Giedd 2006).”
Background(1976) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1976.tb115280.x · Cited by 5,225
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging
Mori, S., Crain, B. J., Chacko, V. P., & van Zijl, P. C. M. (1999) · Annals of Neurology · doi:10.1002/1531-8249(199902)45:2 · Cited by 3,513
DISCONNEXION SYNDROMES IN ANIMALS AND MAN
Geschwind, N. (1965) · Brain · doi:10.1093/brain/88.2.237 · Cited by 3,419
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
Research works printed but not linked: 3
- Broca, 1861, Remarques sur la siegé de la faculté du langue, Bull Soc Anatom Paris, 6, 330
- Hasan, 2006, Fundamentals of diffusion tensor imaging of the entire human brain: review of basic theory, data acquisition, processing and potential applications at 1.5 T and 3.0 T. Chapter 1, 1
- Yakovlev, 1966, Patterns of decussation of bulbar pyramids and distribution of pyramidal tracts on two sides of the spinal cord, Trans Am Neurol Assoc, 91, 366
Cited by
Sorted by citations
A social neuroscience perspective on adolescent risk-taking
Steinberg, L. (2008) · Developmental Review · doi:10.1016/j.dr.2007.08.002 · Cited by 3,644
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
Sex differences in the structural connectome of the human brain
Ingalhalikar, M., Smith, A., Parker, D., Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Hakonarson, H., Gur, R. E., Gur, R. C., & Verma, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316909110 · Cited by 1,223
Longitudinal 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
Diffusion tensor imaging of white matter tract evolution over the lifespan
Lebel, C., Gee, M., Camicioli, R., Wieler, M., Martin, W., & Beaulieu, C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.094 · Cited by 1,100
Dubois, J., Dehaene-Lambertz, G., Kulikova, S., Poupon, C., Hüppi, P. S., & Hertz-Pannier, L. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2013.12.044 · Cited by 851
Tamnes, C. K., Østby, Y., Fjell, A. M., Westlye, L. T., Due-Tønnessen, P., & Walhovd, K. B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp118 · Cited by 779
Development of large-scale functional brain networks in children
Supekar, K., Musen, M., & Menon, V. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000157 · Cited by 807
A revised limbic system model for memory, emotion and behaviour
Catani, M., Dell’Acqua, F., & de Schotten, M. T. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.07.001 · Cited by 813
Thiebaut de Schotten, M., ffytche, D. H., Bizzi, A., Dell'Acqua, F., Allin, M., Walshe, M., Murray, R., Williams, S. C., Murphy, D. G. M., & Catani, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.055 · Cited by 656
Are there theory of mind regions in the brain? A review of the neuroimaging literature
Carrington, S. J., & Bailey, A. J. (2008) · Human Brain Mapping · doi:10.1002/hbm.20671 · Cited by 683
Tractography: Where Do We Go from Here?
Jbabdi, S., & Johansen-Berg, H. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0033 · Cited by 614
The development of brain white matter microstructure
Lebel, C., & Deoni, S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.097 · Cited by 602
Development of Anterior Cingulate Functional Connectivity from Late Childhood to Early Adulthood
Kelly, A. M. C., Di Martino, A., Uddin, L. Q., Shehzad, Z., Gee, D. G., Reiss, P. T., Margulies, D. S., Castellanos, F. X., & Milham, M. P. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn117 · Cited by 572
The default-mode, ego-functions and free-energy: a neurobiological account of Freudian ideas
Carhart-Harris, R. L., & Friston, K. J. (2010) · Brain · doi:10.1093/brain/awq010 · Cited by 574
White matter development in adolescence: A DTI study
Asato, M. R., Terwilliger, R., Woo, J., & Luna, B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp282 · Cited by 512
Age differences in affective decision making as indexed by performance on the Iowa gambling task
Cauffman, E., Shulman, E. P., Steinberg, L., Claus, E., Banich, M. T., Graham, S., & Woolard, J. (2010) · Developmental Psychology · doi:10.1037/a0016128 · Cited by 488
Sex differences in the developing brain: insights from multimodal neuroimaging
Kaczkurkin, A. N., Raznahan, A., & Satterthwaite, T. D. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-018-0111-z · Cited by 403
Adolescent Brain Development and the Risk for Alcohol and Other Drug Problems
Bava, S., & Tapert, S. F. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9146-6 · Cited by 484
Growth of white matter in the adolescent brain: Myelin or axon?
Paus, T. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.06.002 · Cited by 424
Assessing the effects of age on long white matter tracts using diffusion tensor tractography
Davis, S. W., Dennis, N. A., Buchler, N. G., White, L. E., Madden, D. J., & Cabeza, R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.068 · Cited by 458
Longitudinal changes in grey and white matter during adolescence
Giorgio, A., Watkins, K. E., Chadwick, M., James, S., Winmill, L., Douaud, G., De Stefano, N., Matthews, P. M., Smith, S. M., Johansen-Berg, H., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.003 · Cited by 394
Choi, J., Jeong, B., Rohan, M. L., Polcari, A. M., & Teicher, M. H. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.06.022 · Cited by 376
Development of white matter and reading skills
Yeatman, J. D., Dougherty, R. F., Ben‐Shachar, M., & Wandell, B. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1206792109 · Cited by 391
A qualitative and quantitative review of diffusion tensor imaging studies in reading and dyslexia
Vandermosten, M., Boets, B., Wouters, J. M., & Ghesquière, P. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.04.002 · Cited by 379
Lebel, C., Treit, S., & Beaulieu, C. (2019) · NMR in Biomedicine · doi:10.1002/nbm.3778 · Cited by 379
Developmental pathways to functional brain networks: emerging principles
Menon, V. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.015 · Cited by 354
Brenhouse, H. C., & Andersen, S. L. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.04.013 · Cited by 363
Vandermosten, M., Boets, B., Poelmans, H., Sunaert, S. G., Wouters, J. M., & Ghesquière, P. (2012) · Brain · doi:10.1093/brain/awr363 · Cited by 359
Partial volume effect as a hidden covariate in DTI analyses
Vos, S. B., Jones, D. K., Viergever, M. A., & Leemans, A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.048 · Cited by 345
Anatomical Properties of the Arcuate Fasciculus Predict Phonological and Reading Skills in Children
Yeatman, J. D., Dougherty, R. F., Rykhlevskaia, E. I., Sherbondy, A. J., Deutsch, G. K., Wandell, B. A., & Ben‐Shachar, M. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00061 · Cited by 345
Wozniak, J. R., Krach, L. E., Ward, E. E., Mueller, B. A., Muetzel, R. L., Schnoebelen, S., Kiragu, A. W., & Lim, K. O. (2007) · Archives of Clinical Neuropsychology · doi:10.1016/j.acn.2007.03.004 · Cited by 301
Gong, G., Yong He, A., & Evans, A. C. (2011) · The Neuroscientist · doi:10.1177/1073858410386492 · Cited by 304
Herbet, G., & Duffau, H. (2020) · Physiological Reviews · doi:10.1152/physrev.00033.2019 · Cited by 321
Neurobehavioral evidence for changes in dopamine system activity during adolescence
Wahlstrom, D., White, T., & Luciana, M. (2010) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.12.007 · Cited by 277
“atomical perspective of assuming greater regulation over subcortical, primary sensory, and motor processing (Eluvathingal et al., 2007).”
BackgroundInfluentialLebel, C. A., & Beaulieu, C. (2009) · Human Brain Mapping · doi:10.1002/hbm.20779 · Cited by 281
White matter plasticity in the corticospinal tract of musicians: A diffusion tensor imaging study
Imfeld, A., Oechslin, M. S., Meyer, M. E., Loenneker, T., & Jäncke, L. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.025 · Cited by 286
Structural Asymmetries in the Infant Language and Sensori-Motor Networks
Dubois, J., Hertz‐Pannier, L., Cachia, A., Mangin, J.-F., Bihan, D. L., & Dehaene‐Lambertz, G. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn097 · Cited by 264
MR Diffusion Tensor Imaging: A Window into White Matter Integrity of the Working Brain
Chanraud, S., Zahr, N. M., Sullivan, E. V., & Adolf Pfefferbaum, A. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9129-7 · Cited by 265
White matter development during adolescence as shown by diffusion MRI
Schmithorst, V. J., & Yuan, W. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.06.005 · Cited by 249
Development of Human Brain Structural Networks Through Infancy and Childhood
Huang, H., Shu, N., Mishra, V., Jeon, T., Chalak, L., Wang, Z. J., Rollins, N., Gong, G., Cheng, H., Peng, Y., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht335 · Cited by 223
Along-tract statistics allow for enhanced tractography analysis
Colby, J. B., Soderberg, L., Lebel, C. A., Dinov, I. D., Thompson, P. M., & Sowell, E. R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.004 · Cited by 242
Development of the uncinate fasciculus: Implications for theory and developmental disorders
Olson, I. R., Heide, R. J. V. D., Alm, K. H., & Vyas, G. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.06.003 · Cited by 244
Choi, J., Jeong, B., Polcari, A., Rohan, M. L., & Teicher, M. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.033 · Cited by 215
Bahrami, N., Sharma, D. R., Rosenthal, S. L., Davenport, E. M., Urban, J. E., Wagner, B., Jung, Y., Vaughan, C. G., Gioia, G. A., Stitzel, J. D., et al. (2016) · Radiology · doi:10.1148/radiol.2016160564 · Cited by 216
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
Vos, S., Jones, D., Jeurissen, B., Viergever, M., & Leemans, A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.086 · Cited by 222
Longitudinal characterization of white matter maturation during adolescence
Bava, S., Thayer, R. E., Jacobus, J., Ward, M. E., Jernigan, T. L., & Tapert, S. F. (2010) · Brain Research · doi:10.1016/j.brainres.2010.02.066 · Cited by 216
Rethinking schizophrenia in the context of normal neurodevelopment
Catts, V. S., Fung, S. J., Long, L. E., Joshi, D., Vercammen, A., Allen, K. M., Fillman, S. G., Rothmond, D. A., Sinclair, D., Tiwari, Y., et al. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00060 · Cited by 206
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
Should the science of adolescent brain development inform public policy?
Steinberg, L. D. (2009) · American Psychologist · doi:10.1037/0003-066x.64.8.739 · Cited by 197
Vestergaard, M., Madsen, K. S., Baaré, W. F. C., Skimminge, A., Ejersbo, L. R., Ramsøy, T. Z., Gerlach, C., Åkeson, P., Paulson, O. B., & Jernigan, T. L. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21592 · Cited by 181
Willoughby, T., Good, M., Adachi, P. J. C., Hamza, C. A., & Tavernier, R. (2013) · Brain and Cognition · doi:10.1016/j.bandc.2013.09.008 · Cited by 194
Hasan, K. M., Iftikhar, A., Kamali, A., Kramer, L. A., Ashtari, M., Cirino, P. T., Papanicolaou, A. C., Fletcher, J. M., & Ewing‐Cobbs, L. (2009) · Brain Research · doi:10.1016/j.brainres.2009.04.025 · Cited by 187
Nakajima, R., Kinoshita, M., Shinohara, H., & Nakada, M. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00187-4 · Cited by 176
Govindan, R. M., Behen, M. E., Helder, E., Makki, M. I., & Chugani, H. T. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp122 · Cited by 172
Ewing‐Cobbs, L., Prasad, M. R., Swank, P. R., Kramer, L. A., Cox, C. S., Fletcher, J. M., Barnes, M. A., Zhang, X., & Hasan, K. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.06.031 · Cited by 168
Kumar, R., Gupta, R. K., Husain, M., Chaudhry, C., Srivastava, A., Saksena, S., & Rathore, R. K. S. (2009) · Brain Injury · doi:10.1080/02699050903014915 · Cited by 168
Davis, S. W., Kragel, J. E., Madden, D. J., & Cabeza, R. E. L. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr123 · Cited by 173
Tamnes, C. K., Roalf, D. R., Goddings, A., & Lebel, C. A. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.12.002 · Cited by 164
Sullivan, E. V., Torsten Rohlfing, B., & Adolf Pfefferbaum, A. (2010) · Developmental Neuropsychology · doi:10.1080/87565641003689556 · Cited by 161
Longitudinal Changes in White Matter Integrity Among Adolescent Substance Users
Bava, S., Jacobus, J., Thayer, R. E., & Tapert, S. F. (2012) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2012.01920.x · Cited by 154
Adolescent brain development in normality and psychopathology
Luciana, M. M. (2013) · Development and Psychopathology · doi:10.1017/s0954579413000643 · Cited by 175
Oechslin, M. S. (2010) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.076.2009 · Cited by 152
Murty, V. P., Calabro, F. J., & Luna, B. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.034 · Cited by 167
Guye, M., Bartoloméi, F., & Ranjeva, J. (2008) · Current Opinion in Neurology · doi:10.1097/wco.0b013e3283065cfb · Cited by 149
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
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
Does Recent Research on Adolescent Brain Development Inform the Mature Minor Doctrine?
Steinberg, L. (2013) · Journal of Medicine and Philosophy · doi:10.1093/jmp/jht017 · Cited by 139
Evolution of white matter tract microstructure across the life span
Slater, D. A., Melie‐Garcia, L., Preisig, M., Kherif, F., Lutti, A., & Draganski, B. (2019) · Human Brain Mapping · doi:10.1002/hbm.24522 · Cited by 119
Wozniak, J. R., Muetzel, R. L., Mueller, B. A., Petrenko, C. L. M., Freerks, M. A., Ward, E. E., Nelson, M. L., Chang, P., & Lim, K. O. (2009) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2009.01021.x · Cited by 137
Global and regional white matter development in early childhood
Reynolds, J. E., Grohs, M. N., Dewey, D., & Lebel, C. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.04.004 · Cited by 124
Hamer, P. C. D. W., Moritz‐Gasser, S., Gatignol, P., & Duffau, H. (2010) · Human Brain Mapping · doi:10.1002/hbm.21082 · Cited by 133
Typical and atypical brain development: a review of neuroimaging studies
Dennis, E. L., & Thompson, P. M. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.3/edennis · Cited by 126
Pagani, E., Agosta, F., Rocca, M. A., Caputo, D., & Filippi, M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.021 · Cited by 123
Hasan, K. M., Kamali, A., Abid, H., Kramer, L. A., Fletcher, J. M., & Ewing-Cobbs, L. (2010) · Brain Structure and Function · doi:10.1007/s00429-009-0238-0 · Cited by 114
Wozniak, J. R., & Muetzel, R. L. (2011) · Neuropsychology Review · doi:10.1007/s11065-011-9162-1 · Cited by 120
Klarborg, B., Madsen, K. S., Vestergaard, M. D., Skimminge, A., Jernigan, T. L., & Baaré, W. F. C. (2012) · Human Brain Mapping · doi:10.1002/hbm.22139 · Cited by 114
Adolescent brain development: Implications for the juvenile criminal justice system.
Luna, B., & Wright, C. M. (2015) · American Psychological Association eBooks · doi:10.1037/14643-005 · Cited by 115
Sex differences in white matter development during adolescence: A DTI study
Wang, Y., Adamson, C. L., Yuan, W., Altaye, M., Rajagopal, A., Byars, A. W., & Holland, S. K. (2012) · Brain Research · doi:10.1016/j.brainres.2012.08.038 · Cited by 115
Lebel, C. A., Benner, T., & Beaulieu, C. (2011) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23254 · Cited by 104
Mwangi, B., Hasan, K. M., & Soares, J. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.055 · Cited by 107
MR connectomics: a conceptual framework for studying the developing brain
Hagmann, P., Grant, P. E., & Fair, D. A. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00043 · Cited by 96
Response inhibition is associated with white matter microstructure in children.
Madsen, K. S., Baaré, W. F. C., Vestergaard, M., Skimminge, A., Ejersbo, L. R., Ramsøy, T. Z., Gerlach, C., Åkeson, P., Paulson, O. B., & Jernigan, T. L. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.11.001 · Cited by 104
Gee, D. G., Fetcho, R. N., Jing, D., Li, A., Glatt, C. E., Drysdale, A. T., Cohen, A. O., Dellarco, D. V., Yang, R. R., Dale, A. M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600013113 · Cited by 106
Brain connectivity in normally developing children and adolescents
Khundrakpam, B. S., Lewis, J. D., Zhao, L., Chouinard-Decorte, F., & Evans, A. C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.062 · Cited by 91
White matter integrity, substance use, and risk taking in adolescence.
Jacobus, J., Thayer, R. E., Trim, R. S., Bava, S., Frank, L. R., & Tapert, S. F. (2012) · Psychology of Addictive Behaviors · doi:10.1037/a0028235 · Cited by 95
Berns, G. S., Moore, S., & Capra, C. M. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006773 · Cited by 91
Vulnerability of the frontal-temporal connections in temporal lobe epilepsy
Lin, J. J., Riley, J. D., Juranek, J. J., & Cramer, S. C. (2008) · Epilepsy Research · doi:10.1016/j.eplepsyres.2008.07.020 · Cited by 93
Hasan, K. M., Eluvathingal, T. J., Kramer, L. A., Ewing‐Cobbs, L., Dennis, M., & Fletcher, J. M. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21297 · Cited by 90
McNamara, R. K. (2015) · World Journal of Psychiatry · doi:10.5498/wjp.v5.i1.15 · Cited by 88
Diffusion properties of major white matter tracts in young, typically developing children
Johnson, R. T., Yeatman, J. D., Wandell, B. A., Buonocore, M. H., Amaral, D. G., & Nordahl, C. W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.025 · Cited by 93
Verhoeven, J. S., Sage, C. A., Leemans, A., Hecke, W. V., Callaert, D. V., Peeters, R. R., Cock, P. D., Lagae, L. G., & Sunaert, S. G. (2009) · Human Brain Mapping · doi:10.1002/hbm.20880 · Cited by 86
Wu, M., Lu, L. H., Lowes, A., Yang, S., Passarotti, A. M., Zhou, X. J., & Pavuluri, M. N. (2013) · Human Brain Mapping · doi:10.1002/hbm.22368 · Cited by 86
Wycoco, V., Shroff, M. M., Sudhakar, S. V., & Lee, W. (2013) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2012.12.002 · Cited by 84
Joseph, R. M., Fricker, Z. P., Fenoglio, A., Lindgren, K. A., Knaus, T. A., & Tager-Flusberg, H. B. (2013) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9245-0 · Cited by 88
Lower diffusion in white matter of children with prenatal methamphetamine exposure
Cloak, C. C., Ernst, T., Fujii, L., Hedemark, B., & Chang, L.-H. (2009) · Neurology · doi:10.1212/01.wnl.0000346516.49126.20 · Cited by 80
Childhood development of common drive to a human leg muscle during ankle dorsiflexion and gait
Petersen, T. H., Kliim‐Due, M., Farmer, S. F., & Nielsen, J. B. (2010) · The Journal of Physiology · doi:10.1113/jphysiol.2010.195735 · Cited by 79
Lynch, K. M., Cabeen, R. P., Toga, A. W., & Clark, K. A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116672 · Cited by 79
In Vivo Tractography of Fetal Association Fibers
Mitter, C., Prayer, D., Brugger, P. C., Weber, M., & Kasprian, G. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0119536 · Cited by 80
Metadata
- Authors
- Eluvathingal, T. J., Hasan, K. M., Kramer, L., Fletcher, J. M., & Ewing-Cobbs, L.
- Affiliations
- The University of Texas Health Science Center at Houston (US)
- University of Houston (US)
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-02-16
- Volume
- 17
- Issue
- 12
- Pages
- 2760-2768
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC2084482
- OpenAlex
- W2166746511
- Cited by
- 288
- References
- 97
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 5 · 2023: 5 · 2022: 8 · 2021: 5 · 2020: 13 · 2019: 16 · 2018: 16 · 2017: 11 · 2016: 18 · 2015: 20 · 2014: 13 · 2013: 32 · 2012: 19
- FWCI
- 17.50
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cerebral Cortex (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (R01NS046308, R01NS052505)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P01HD035946, P01 HD 35946)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- diffusion tensor tractography, white matter maturation, association fibers, projection fibers, arcuate fasciculus, inferior longitudinal fasciculus, inferior fronto-occipital fasciculus, uncinate fasciculus, corticospinal tract, somatosensory pathways, fractional anisotropy, diffusion anisotropy, age-related changes, sex differences, lateral asymmetry, children and adolescents, reference values
- MeSH terms
- Adolescent, Adult, Aging, Brain, Child, Female, Humans, Image Interpretation, Computer-Assisted, Functional Laterality, Male, Nerve Fibers, Myelinated, Reference Values, Sex Factors, Diffusion Magnetic Resonance Imaging
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