Cited by 288Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

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 access

Eluvathingal, Thomas J., Hasan, Khader M., Kramer, Larry, Fletcher, Jack M., Ewing-Cobbs, Linda·2007·Cerebral Cortex

DOI 10.1093/cercor/bhm003PMC PMC2084482

Open this paper in CoChat — free account

Abstract

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.

Integrity signals

Registry

Crossref · 10.1093/cercor/bhm003

Cites

95 of 95 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

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
Akufo and Ibarapa
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
Nelson Textbook of Pediatrics
(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

Flagged first, then by citations

Show all 97 references

2 of the 97 references couldn’t be matched to a known paper.

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

Sorted by citations

Items 201–288 of 288

Imaging white matter diffusion changes with development and recovery from brain injury
Bosnell, R., Giorgio, A., & Johansen‐Berg, H. (2008) · Developmental Neurorehabilitation · doi:10.1080/17518420802289065 · Cited by 18
DTI in Development and Aging
Salat, D. H., Lee, S. Y., Yu, P., Setty, B. N., Rosas, H. D., & Grant, P. E. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374709-9.00010-9 · Cited by 18
Miniature pig magnetic resonance spectroscopy model of normal adolescent brain development
Ryan, M. C., Kochunov, P., Sherman, P. M., Rowland, L. M., Wijtenburg, S. A., Acheson, A., Hong, L. E., Sladky, J. H., & McGuire, S. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.08.008 · Cited by 18
Diffusion tensor tractography of the uncinate fasciculus: Pitfalls in quantitative analysis due to traumatic volume changes
Kurki, T. J. I., Laalo, J. P., & Oksaranta, O. M. (2013) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.23901 · Cited by 17
Neuromuscular control of goal-directed ankle movements differs for healthy children and adults
Fox, E. J., Moon, H., Kwon, M., Chen, Y.-T., & Christou, E. A. (2014) · European Journal of Applied Physiology · doi:10.1007/s00421-014-2915-9 · Cited by 17
Adolescent cancer patients’ perceived quality of cancer care: The roles of patient engagement and supporting independence
Siembida, E. J., Kadan‐Lottick, N. S., Moss, K., & Bellizzi, K. M. (2018) · Patient Education and Counseling · doi:10.1016/j.pec.2018.04.002 · Cited by 17
Relationship between white matter microstructure abnormalities and ADHD symptomatology in adolescents
Witt, S. T., & Stevens, M. C. G. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2015.02.009 · Cited by 18
Deep White Matter Volume Loss and Social Reintegration After Traumatic Brain Injury in Children
Gale, S. D., & Prigatano, G. P. (2010) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0b013e3181c39960 · Cited by 17
Review of diffusion tensor imaging and its application in children
Vorona, G., & Berman, J. (2015) · Pediatric Radiology · doi:10.1007/s00247-015-3277-0 · Cited by 16
Along-tract analysis of the white matter is more informative about brain ageing, compared to whole-tract analysis.
Shirazi, Y., Oghabian, M., & Batouli, S. A. H. (2021) · Clinical neurology and neurosurgery (Dutch-Flemish ed. Print) · doi:10.1016/j.clineuro.2021.107048 · Cited by 13
White matter trajectories over the lifespan
Conte, S., Zimmerman, D., & Richards, J. E. (2024) · PLoS ONE · doi:10.1371/journal.pone.0301520 · Cited by 17
Analysis of the contribution of experimental bias, experimental noise, and inter-subject biological variability on the assessment of developmental trajectories in diffusion MRI studies of the brain
Sadeghi, N., Nayak, A., Walker, L., Irfanoglu, M. O., Albert, P. S., & Pierpaoli, C. M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.084 · Cited by 15
Interpersonal Competence in Young Adulthood and Right Laterality in White Matter
Pisapia, N. D., Serra, M., Rigo, P., Jager, J., Papinutto, N., Esposito, G., Venuti, P., & Bornstein, M. H. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00534 · Cited by 15
The Fiber Laterality Histogram: A New Way to Measure White Matter Asymmetry
O’Donnell, L. J., Westin, C., Norton, I. H., Whalen, S., Rigolo, L., Propper, R. E., & Golby, A. J. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15745-5_28 · Cited by 14
Correlation between uncinate fasciculus and memory tasks in healthy individual using diffusion tensor tractography
Sato, T., Maruyama, N., Hoshida, T., & Minato, K. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6345958 · Cited by 14
Correlation of Quantitative Diffusion Tensor Tractography with Clinical Grades of Subacute Sclerosing Panencephalitis
Trivedi, R., Anuradha, H. K., Agarwal, A. K., Rathore, R. K. S., Prasad, K. N., Tripathi, R. P., & Gupta, R. K. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2380 · Cited by 14
Investigating the impact of early literacy training on white matter structure in prereaders at risk for dyslexia
Economou, M., Herck, S. V., Bempt, F. V., Glatz, T., Wouters, J. M., Ghesquière, P., Vanderauwera, J., & Vandermosten, M. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab510 · Cited by 13
Automated longitudinal intra-subject analysis (ALISA) for diffusion MRI tractography
Aarnink, S. H., Vos, S., Leemans, A., Jernigan, T., Madsen, K. S., & Baaré, W. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.026 · Cited by 12
Early assessment of lateralization and sex influences on the microstructure of the white matter corticospinal tract in healthy term neonates
Saadani‐Makki, F., Hagmann, C. F., Balédent, O., & Makki, M. (2018) · Journal of Neuroscience Research · doi:10.1002/jnr.24359 · Cited by 11
The mismeasurement of youth: why adolescent brain science is bad science
Bessant, J., & Watts, R. (2012) · Contemporary Social Science · doi:10.1080/21582041.2012.691541 · Cited by 10
White matter asymmetries in patients with cerebral small vessel disease
Zhou, H., Tang, Y., & Yuan, Z. (2017) · Journal of Integrative Neuroscience · doi:10.3233/jin-170037 · Cited by 9
Morpho-Functional Basis of Complex Sentence Processing in Adults and Children
Петровна, С. Е., Guillemard, D., & Galperina, E. I. (2020) · Human Physiology · doi:10.1134/s0362119720030135 · Cited by 9
Diffusion Tensor Imaging: Structural Connectivity Insights, Limitations and Future Directions
Linda, J. (2012) · InTech eBooks · doi:10.5772/23245 · Cited by 9
Bidirectional iterative parcellation of diffusion weighted imaging data: Separating cortical regions connected by the arcuate fasciculus and extreme capsule
Patterson, D. K., Petten, C. K. V., Beeson, P. M., Rapcsak, S. Z., & Plante, E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.08.032 · Cited by 9
Adolescents with idiopathic scoliosis show decreased intermuscular coherence in lumbar paraspinal muscles: A new pathophysiological perspective
Simoneau, M., Pialasse, J.-P., Mercier, P., & Blouin, J. (2022) · Clinical Neurophysiology · doi:10.1016/j.clinph.2022.03.008 · Cited by 8
Characterization of ten white matter tracts in a representative sample of Cuban population
Góngora, D., Domínguez, M. Á., & Bobes, M. A. (2016) · BMC Medical Imaging · doi:10.1186/s12880-016-0163-7 · Cited by 8
Age of Speech Onset in Autism Relates to Structural Connectivity in the Language Network
Barbeau, É. B., Klein, D., Soulières, I., Petrides, M., Bernhardt, B. C., & Mottron, L. (2020) · Cerebral Cortex Communications · doi:10.1093/texcom/tgaa077 · Cited by 8
White matter integrity is disrupted in adolescents with acute anorexia nervosa: A diffusion tensor imaging study
Laczkovics, C., Nenning, K., Wittek, T., Schmidbauer, V. U., Schwarzenberg, J., Maurer, E. S., Wagner, G., Seidel, S., Philipp, J., Prayer, D., et al. (2021) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2021.111427 · Cited by 8
Contribution of Diffusion Tractography to the Anatomy of Language
Catani, M., & Budisavljević, S. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-396460-1.00022-6 · Cited by 8
The Connectional Anatomy of Language
Catani, M. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374709-9.00018-3 · Cited by 8
Associations Between White Matter Microstructures and Cognitive Functioning in 8-Year-Old Children: A Track-Weighted Imaging Study
Raja, R., Na, X., Moore, A., Otoo, R. A., Glasier, C. M., Badger, T. M., & Ou, X. (2022) · Journal of Child Neurology · doi:10.1177/08830738221083487 · Cited by 7
Changes in white matter microstructure related to non-linguistic cognitive impairment in post-stroke aphasia
Yao, J., Liu, X., Lu, X. J., Cheng, X., Chen, H., & Zhang, Y. (2020) · Neurological Research · doi:10.1080/01616412.2020.1795578 · Cited by 7
Myelin plasticity during early literacy training in at-risk pre-readers
Economou, M., Bempt, F. V., Herck, S. V., Wouters, J. M., Ghesquière, P., Vanderauwera, J., & Vandermosten, M. (2023) · Cortex · doi:10.1016/j.cortex.2023.05.023 · Cited by 8
Structural networking of the developing brain: from maturation to neurosurgical implications
BENEDICTIS, A. D., Rossi‐Espagnet, M. C., Palma, L. D., Sarubbo, S., & Marras, C. E. (2023) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2023.1242757 · Cited by 11
Relationship of Neonatal Cerebral Blood Flow Velocity Asymmetry with Early Motor, Cognitive and Language Development in Term Infants
Wu, Y., Hsieh, W., Hsu, C.-H., Chiu, N., Chou, H., Chen, C., Peng, S.-F., Hung, H., Chang, J., Chen, W. J., et al. (2013) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2012.12.012 · Cited by 7
Investigation of Local White Matter Properties in Professional Chess Player: A Diffusion Magnetic Resonance Imaging Study Based on Automatic Annotation Fiber Clustering
Feng, Y., Song, J., Yan, W., Wang, J., Zhao, C., & Zeng, Q. (2020) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2020.2968116 · Cited by 7
Edge-Centered DTI Connectivity Analysis: Application to Schizophrenia
Herskovits, E. H., Hong, L. E., Kochunov, P., Sampath, H., & Chen, R. (2015) · Neuroinformatics · doi:10.1007/s12021-015-9273-6 · Cited by 7
Age-related changes of white matter association tracts in normal children throughout adulthood: a diffusion tensor tractography study
Mohammad, S. A., & Nashaat, N. H. (2017) · Neuroradiology · doi:10.1007/s00234-017-1858-3 · Cited by 7
Asymmetry of White Matter Pathways
Catani, M., Forkel, S. J., & de Schotten, M. T. (2010) · The MIT Press eBooks · doi:10.7551/mitpress/8137.003.0012 · Cited by 15
Myelin water fraction in relation to fractional anisotropy and reading in 10-year-old children
Economou, M., Billiet, T., Wouters, J. M., Ghesquière, P., Vanderauwera, J., & Vandermosten, M. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02486-x · Cited by 6
Combined diffusion tensor imaging and quantitative susceptibility mapping to characterize normal-appearing white matter in self-limited epilepsy with centrotemporal spikes
Xu, G., Zhang, Y., & Chen, X. (2024) · Neuroradiology · doi:10.1007/s00234-024-03367-2 · Cited by 5
Neuroanatomic differences of the brain in males and females
Polunina, A. G., & Bryun, E. A. (2017) · Annals of Clinical and Experimental Neurology · doi:10.18454/acen.2017.3.10 · Cited by 28
Assessing the Early Lateralization of White Matter in the Infant Language Network
Marcelle, M., Illapani, V. S. P., Gaillard, W. D., & Newport, E. L. (2025) · Human Brain Mapping · doi:10.1002/hbm.70286 · Cited by 5
White matter asymmetries in patients with cerebral small vessel disease
Zhou, H., Tang, Y., & Yuan, Z. (2018) · Journal of Integrative Neuroscience · doi:10.31083/jin-170037 · Cited by 6
Structural neuroimaging
Paquette, N., Gajawelli, N., & Leporé, N. (2020) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64148-9.00018-1 · Cited by 5
Sex/Gender Differences in the Human Brain
Hodgetts, S., & Hausmann, M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.24103-5 · Cited by 5
Novel diffusion tensor imaging technique reveals developmental streamline volume changes in the corticospinal tract associated with leg motor control
Kamson, D. O., Juhász, C., Chugani, H. T., & Jeong, J. (2014) · Brain and Development · doi:10.1016/j.braindev.2014.07.001 · Cited by 4
Brain age of rhesus macaques over the lifespan
Liu, Y. S., Baxi, M., Madan, C. R., Zhan, K., Makris, N., Rosene, D. L., Killiany, R., Karayumak, S. C., Pasternak, O., Kubicki, M. R., et al. (2024) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2024.02.014 · Cited by 4
Neural correlates of sleep quality in children: Sex‐specific associations shown by brain diffusion tractography
Raja, R., Na, X., Badger, T. M., & Ou, X. (2022) · Journal of Neuroimaging · doi:10.1111/jon.12964 · Cited by 4
Analysis of Corpus Callosum Diffusion Tensor Imaging Parameters in Infants
Provenzale, J. M., Isaacson, J., Stinnett, S. S., & Chen, S. (2012) · The Neuroradiology Journal · doi:10.1177/197140091202500310 · Cited by 4
Demolishing the Competition: The Association between Competitive Video Game Play and Aggression among Adolescents and Young Adults
Adachi, P. J. C. (2015) · Brock University Digital Repository (Brock University) · Cited by 5
Myelination of major white matter tracts continues beyond childhood - combining tractography and myelin water imagingPreprint
Meissner, T. W., Genç, E., Mädler, B., & Weigelt, S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.17605/osf.io/v9tkz · Cited by 4
Growing together: Dynamic connectivity between developmentally sensitive regions serving verbal working memory in children and adolescents
Killanin, A. D., Ward, T. W., Rice, D. L., Ende, G. C., Coutant, A. T., Steiner, E. L., Embury, C. M., Calhoun, V. D., Wang, Y., Stephen, J. M., et al. (2025) · The Journal of Physiology · doi:10.1113/jp287721 · Cited by 3
Review of Current Neuroimaging Studies of the Effects of Prenatal Drug Exposure: Brain Structure and Function
Willford, J., Smith, C., Kuhn, T., Weber, B., & Richardson, G. (2016) · InTech eBooks · doi:10.5772/63389 · Cited by 2
Myelination of major white matter tracts continues beyond childhood—combining tractography and myelin water imagingPreprint
Meissner, T. W., Genç, E., Mädler, B., & Weigelt, S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/622233 · Cited by 3
The brain and its pathways
Catani, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-818894-1.00034-3 · Cited by 2
Correlation between diffusion tensor tractography and proton MR spectroscopy in normal controls
Sato, T., Maruyama, N., Hoshida, T., & Minato, K. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6609550 · Cited by 2
Involvement of Executive Functions in Idiom Comprehension: A Life-Span Perspective
Lacroix, A., Trolès, N., Burgevin, M., Bescond, C. L., Laval, V., & Noël, A. (2024) · Brain Sciences · doi:10.3390/brainsci14111076 · Cited by 3
Regional grey matter volume in the posterior cingulate cortex predicts positive risk‐taking: A moderation model
Liu, D., Ji, M., Zhuang, K., Chen, Q., Shi, B., & Qiu, J. (2022) · International Journal of Psychology · doi:10.1002/ijop.12871 · Cited by 2
Intellectual development of 15- to 16-year-old boys and girls: Psychophysiological structure
Безруких, М. М., & Komkova, Y. N. (2010) · Human Physiology · doi:10.1134/s0362119710040067 · Cited by 2
The metatarsal osteotomy: a 10-year follow-up on the second, third and fourth metatarsal osteotomies and a new approach to the fifth metatarsal osteotomy.
Addante, J. B., & Kaufmann, D. (1977) · PubMed · Cited by 2
Tractography: Applications to neurodevelopment, aging, and plasticity
Lebel, C. A., Salat, D. H., & Yeatman, J. D. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-818894-1.00009-4 · Cited by 1
Study of sex differences in the whole brain white matter using diffusion MRI tractography and suprathreshold fiber cluster statistics
Zhang, F., Rushmore, J., Li, Y., Karayumak, S. C., Song, Y., Cai, W., Westin, C., Levitt, J. J., Makris, N., Yogesh Rathi, A., et al. (2026) · NeuroImage Clinical · doi:10.1016/j.nicl.2026.103979 · Cited by 1
Compact review of structural and microstructural brain image analysis methods
Thanellas, A.-K., & Pollari, M. (2010) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms.2010.6042673 · Cited by 1
Brain functional and structural changes in adult ADHD and their relation to long-term stimulant treatment
Salavert, J. (2015) · TDX (Tesis Doctorals en Xarxa) · Cited by 1
Asymmetry Matters: Diffusion Tensor Tractography of the Uncinate Fasciculus in Children with Verbal Memory Deficits
Mohammad, S. A., Nashaat, N. H., Okba, A. A., Kilany, A., Abdelrahman, A. S., Elhameed, A. M. A., & Raouf, E. R. A. (2022) · American Journal of Neuroradiology · doi:10.3174/ajnr.a7535 · Cited by 1
Delay and Probability Discounting: a Longitudinal Study of Neural, Cognitive, and Emotional Processes Contributing to Adolescent Development
Olson, E. A. (2010) · University of Minnesota Digital Conservancy (University of Minnesota) · Cited by 1
Corticospinal Tract Diffusion Tensor Imaging and Motor Function in Children following Perinatal Stroke
Hodge, J. (2013) · Libraries and Cultural Resources (University of Calgary) · doi:10.11575/prism/25473 · Cited by 1
Working Memory
Luciana, M. M. (2018) · Springer eBooks · doi:10.1007/978-3-319-33228-4_21 · Cited by 1
Nutrients and tobacco : short and long-term effects on brain and cognition in childhood and adolescence
Kafouri, S. (2011) · Nottingham ePrints (University of Nottingham)
Structural and functional brain abnormalities in children with fetal alcohol spectrum disorders (FASD)
Wozniak, J. R. (2011) · University of Minnesota Digital Conservancy (University of Minnesota)
ORIGINAL RESEARCH Diffusion Tensor Imaging Study of the Cortical Origin and Course of the Corticospinal Tract in Healthy Children
Kumar, A., Juhász, C., Asano, E., & Chugani, H. T. (2009)
Amygdala Morphometry in Adolescent Marijuana Users
McQueeny, T. M. (2010) · OhioLink ETD Center (Ohio Library and Information Network)
Establishing The Method Of Dual-tensor For Tract Based Analysis (DTTA) And Investigating Human Brain Developmental Connectome With Diffusion MRI
Mishra, V. R. (2014) · UTA ResearchCommons (University of Texas Arlington)
Structural connectivity in the asymmetric brain: Genetic and nongenetic influences
Häberling, I. S. (2012) · ResearchSpace (University of Auckland)
A Developmental Examination of Patient Engagement and Quality of Care in Adolescent Oncology
Siembida, E. J. (2016) · OpenCommons - UConn (University of Connecticut)
Morfometria cerebral e imagens de tensores de difusão da microestrutura de substância branca em homens para mulheres transexuais antes e durante o processo transexualizador
Spizzirri, G. (2016) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.5.2016.tde-18112016-123020
The influence of attentional focus on neuroplasticity following a seven-day balance training intervention
Diekfuss, J. A. (2017) · NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)
Development of Neuroconnectivity and Inhibitory Control: Relation to Social Cognition in Late Childhood
Broomell, A. P. R. (2019) · VTechWorks (Virginia Tech)
Bibliographie
(2013) · Presses Universitaires de France eBooks · doi:10.3917/puf.houde.2013.02.0231
Working Memory
Luciana, M. M. (2011) · Springer eBooks · doi:10.1007/978-1-4419-1695-2_21
Linking behavior with white matter networks
Budisavljević, S., Ameis, S. H., Berlot, R., Howells, H., & Urbanski, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-818894-1.00027-6
The latent organization of white matter microstructure and its relation to fluid intelligence
Jungeblut, H. M., Genç, E., Burke, M., Gajewski, P. D., Getzmann, S., Wascher, E., & Schubert, A.-L. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1167
Les bases neurales du traitement sémantique : un nouvel éclairage : études en électrostimulations cérébrales directes
Moritz‐Gasser, S. (2012) · doi:10.70675/26b76a50z1941z4accz9f96z2ac76440693b
La construction du schéma corporel dans un cerveau en développement
Fontan, A. (2017) · theses.fr (ABES) · doi:10.70675/cd3cc99fz444az42edza564za00a8aa3e9f5
Effets du sexe sur la maturation cérébrale et impacts sur la régulation émotionnelle à l’adolescence
Frère, P. (2018) · theses.fr (ABES) · doi:10.70675/eca3f836z19f7z4da9z9920zc3c437e342ea
Structural basis of speech processing: distinct gray and white matter contributions in the auditory cortextructural basis of speech processing: distinct gray and white matter contributions in the auditory cortexPreprint
Bi, Q., Qin, P., Luo, J., Wang, W., Yang, L., Sun, B., & Gong, G. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6637600
A Novel Dual-Stream Framework for dMRI Tractography Streamline Classification with Joint dMRI and fMRI Data
Haotian, Y., Guo, B., He, J., Sochen, N., Pasternak, O., O’Donnell, L. J., & Zhang, F. (2026) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi61048.2026.11515809

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)
ORCID: Eluvathingal, Thomas J.
Hasan, Khader M.
Kramer, Larry
Fletcher, Jack M.
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
DOI: 10.1093/cercor/bhm003
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

Quantitative diffusion tensor tractography of association and projection fibers in normally developing children and adolescents.

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