Investigating white matter development in infancy and early childhood using myelin water faction and relaxation time mapping
Open accessAbstract
The elaboration of the myelinated white matter is essential for normal neurodevelopment, establishing and mediating rapid communication pathways throughout the brain. These pathways facilitate the synchronized communication required for higher order behavioral and cognitive functioning. Altered neural messaging (or 'disconnectivity') arising from abnormal white matter and myelin development may underlie a number of neurodevelopmental psychiatric disorders. Despite the vital role myelin plays, few imaging studies have specifically examined its maturation throughout early infancy and childhood. Thus, direct investigations of the relationship(s) between evolving behavioral and cognitive functions and the myelination of the supporting neural systems have been sparse. Further, without knowledge of the 'normative' developmental time-course, identification of early abnormalities associated with developmental disorders remains challenging. In this work, we examined the use of longitudinal (T(1)) and transverse (T(2)) relaxation time mapping, and myelin water fraction (MWF) imaging to investigate white matter and myelin development in 153 healthy male and female children, 3 months through 60 months in age. Optimized age-specific acquisition protocols were developed using the DESPOT and mcDESPOT imaging techniques; and mean T(1), T(2) and MWF trajectories were determined for frontal, temporal, occipital, parietal and cerebellar white matter, and genu, body and splenium of the corpus callosum. MWF results provided a spatio-temporal pattern in-line with prior histological studies of myelination. Comparison of T(1), T(2) and MWF measurements demonstrates dissimilar sensitivity to tissue changes associated with neurodevelopment, with each providing differential but complementary information.
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Males show increased global gyrification at 2 years of age compared with females after adjusting for total brain volume.
“Males also show increased global gyrification at 2 years of age compared with females (adjusting for total brain volume)”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [127]
Local or regional gyrification index is similar between males and females at each age.
“local or regional gyrification index is similar between males and females at each age127.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [127]
There is no global gyrification difference between males and females at 0 or 1 year of age.
“but not at 0 or 1 year of age”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [127]
The strategy of template creation mirrors prior work that has been shown to successfully create structural and quantitative MRI templates of the pediatric brain.
“this strategy of template creation mirrors our prior work that has been shown to successfully create structural and quantitative MRI templates of the pediatric brain (Deoni et al., 2012, Dean et al., 2014).”
From Quantifying cortical development in typically developing toddlers and young children, 1–6 years of age (2017) · cites this paper as Deoni et al., 2012
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Imaging structural and functional brain development in early childhood
Gilmore, J. H., Knickmeyer, R. C., & Gao, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.1 · Cited by 1,013 · see citing works
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 · see citing works
Biological embedding of childhood adversity: from physiological mechanisms to clinical implications
Berens, A. E., Jensen, S. K. G., & Nelson, C. A. (2017) · BMC Medicine · doi:10.1186/s12916-017-0895-4 · Cited by 657 · see citing works
“Dramatic growth in gray and white matter occurs in the first 2 years of life, when the brain attains 80–90% of its adult volume before continuing to grow at an attenuated rate [22, 23].”
BackgroundAn open resource for transdiagnostic research in pediatric mental health and learning disorders
Alexander, L. M., Escalera, J., Ai, L., Andreotti, C., Febre, K., Mangone, A., Potler, N. V., Langer, N., Alexander, A., Kovacs, M., et al. (2017) · Scientific Data · doi:10.1038/sdata.2017.181 · Cited by 652 · see citing works
The development of brain white matter microstructure
Lebel, C., & Deoni, S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.097 · Cited by 602 · see citing works
Self-citationLifespan maturation and degeneration of human brain white matter
Yeatman, J. D., Wandell, B. A., & Mezer, A. (2014) · Nature Communications · doi:10.1038/ncomms5932 · Cited by 426 · see citing works
Magnetic Resonance of Myelin Water: An in vivo Marker for Myelin
MacKay, A. L., & Laule, C. (2016) · Brain Plasticity · doi:10.3233/bpl-160033 · Cited by 288 · see citing works
Breastfeeding and early white matter development: A cross-sectional study
Deoni, S., Dean, D., Piryatinsky, I., O’Muircheartaigh, J., Waskiewicz, N., Lehman, K., Han, M., & Dirks, H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.090 · Cited by 283 · see citing works
Self-citationWhite Matter Microstructure and Atypical Visual Orienting in 7-Month-Olds at Risk for Autism
Elison, J. T., Paterson, S. J., Wolff, J. J., Reznick, J. S., Sasson, N. J., Gu, H., Botteron, K. N., Dager, S. R., Estes, A. M., Evans, A. C., et al. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.12091150 · Cited by 277 · see citing works
“Future research using targeted imaging pulse sequences (34) has the potential to elucidate specific neuroanatomical mechanisms that underlie information processing during infancy.”
BackgroundDean, D. C., Jerskey, B. A., Chen, K., Protas, H., Thiyyagura, P., Roontiva, A., O'Muircheartaigh, J., Dirks, H., Waskiewicz, N., Lehman, K., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2013.4544 · Cited by 263 · see citing works
Self-citationDelineation of early brain development from fetuses to infants with diffusion MRI and beyond
Ouyang, M., Dubois, J., Yu, Q., Mukherjee, P., & Huang, H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.017 · Cited by 250 · see citing works
Worbe, Y., Marrakchi‐Kacem, L., Lecomte, S., Valabrègue, R., Poupon, F., Guevara, P., Tucholka, A., Mangin, J., Vidailhet, M., Lehéricy, S., et al. (2014) · Brain · doi:10.1093/brain/awu311 · Cited by 257 · see citing works
Neural histology and neurogenesis of the human fetal and infant brain
Kostović, I., Sedmak, G., & Judáš, M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.043 · Cited by 259 · see citing works
Association of Amyloid Pathology With Myelin Alteration in Preclinical Alzheimer Disease
Dean, D. C., Hurley, S. A., Kecskemeti, S. R., O’Grady, J. P., Canda, C., Davenport-Sis, N. J., Carlsson, C. M., Zetterberg, H., Blennow, K., Asthana, S., et al. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2016.3232 · Cited by 252 · see citing works
“While there was an overlap in findings with MWF, R1, and R2, associations indifferentbrain structuresbetweenbrainmeasureswerealso observed, suggesting that these measures are complimentary butmayelucidatedifferentialmicrostructuralprocesses.(29)Last, cross-sectional analyses have permitted us to examine the associatio…”
Self-citationDiffusion tensor imaging for understanding brain development in early life
Qiu, A., Mori, S., & Miller, M. I. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015340 · Cited by 238 · see citing works
Lebel, C., Walton, M., Letourneau, N., Giesbrecht, G. F., Kaplan, B. J., & Dewey, D. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.12.004 · Cited by 237 · see citing works
Dubois, J., Alison, M., Counsell, S. J., Hertz‐Pannier, L., Hüppi, P. S., & Benders, M. J. N. L. (2021) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.27192 · Cited by 226 · see citing works
Cortical maturation and myelination in healthy toddlers and young children
Deoni, S. C. L., Dean, D. C., Remer, J., Dirks, H., & O’Muircheartaigh, J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.058 · Cited by 221 · see citing works
Self-citationEarly nutrition influences developmental myelination and cognition in infants and young children
Deoni, S., Dean, D., Joelson, S., O’Regan, J., & Schneider, N. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.056 · Cited by 226 · see citing works
Self-citationBilliet, T., Vandenbulcke, M., Mädler, B., Peeters, R., Dhollander, T., Zhang, H., Deprez, S., Van den Bergh, B. R. H., Sunaert, S., & Emsell, L. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.02.029 · Cited by 203 · see citing works
Altered corpus callosum morphology associated with autism over the first 2 years of life
Wolff, J. J., Gerig, G., Lewis, J. D., Soda, T., Styner, M. A., Vachet, C., Botteron, K. N., Elison, J. T., Dager, S. R., Estes, A. M., et al. (2015) · Brain · doi:10.1093/brain/awv118 · Cited by 203 · see citing works
White matter development and early cognition in babies and toddlers
O'Muircheartaigh, J., Dean, D. C., Ginestet, C. E., Walker, L., Waskiewicz, N., Lehman, K., Dirks, H., Piryatinsky, I., & Deoni, S. C. L. (2014) · Human Brain Mapping · doi:10.1002/hbm.22488 · Cited by 183 · see citing works
Self-citationCharacterizing longitudinal white matter development during early childhood
Dean, D. C., O’Muircheartaigh, J., Dirks, H., Waskiewicz, N., Walker, L., Doernberg, E., Piryatinsky, I., & Deoni, S. C. L. (2015) · Brain Structure and Function · doi:10.1007/s00429-014-0763-3 · Cited by 174 · see citing works
Self-citationHypomyelinating leukodystrophies — unravelling myelin biology
Wolf, N. I., ffrench‐Constant, C., & van der Knaap, M. S. (2020) · Nature Reviews Neurology · doi:10.1038/s41582-020-00432-1 · Cited by 164 · see citing works
Modeling healthy male white matter and myelin development: 3 through 60months of age
Dean, D. C., O'Muircheartaigh, J., Dirks, H., Waskiewicz, N., Lehman, K., Walker, L., Han, M., & Deoni, S. C. L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.058 · Cited by 163 · see citing works
Self-citationKunz, N., Zhang, H. G., Vasung, L., O’Brien, K., Assaf, Y., Lazeyras, F., Alexander, D. C., & Hüppi, P. S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.057 · Cited by 159 · see citing works
Rapid infant prefrontal cortex development and sensitivity to early environmental experience
Hodel, A. S. (2018) · Developmental Review · doi:10.1016/j.dr.2018.02.003 · Cited by 160 · see citing works
Remer, J., Croteau-Chonka, E., Dean, D. C., D’Arpino, S., Dirks, H., Whiley, D., & Deoni, S. C. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.010 · Cited by 152 · see citing works
Self-citationHypomyelinating leukodystrophies: Translational research progress and prospects
Pouwels, P. J. W., Vanderver, A. L., Bernard, G., Wolf, N. I., Dreha‐Kulaczewski, S. F., Deoni, S., Bertini, E., Kohlschütter, A., Richardson, W. D., ffrench‐Constant, C., et al. (2014) · Annals of Neurology · doi:10.1002/ana.24194 · Cited by 151 · see citing works
Self-citationWhite matter maturation profiles through early childhood predict general cognitive ability
Deoni, S. C. L., O’Muircheartaigh, J., Elison, J. T., Walker, L., Doernberg, E., Waskiewicz, N., Dirks, H., Piryatinsky, I., Dean, D. C., & Jumbe, N. L. (2016) · Brain Structure and Function · doi:10.1007/s00429-014-0947-x · Cited by 147 · see citing works
Self-citationCerebral White Matter Myelination and Relations to Age, Gender, and Cognition: A Selective Review
Buianova, I., & Arsalidou, M. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.662031 · Cited by 146 · see citing works
Dean, D. C., Planalp, E. M., Wooten, W., Kecskemeti, S. R., Adluru, N., Schmidt, C. K., Frye, C., Birn, R. M., Burghy, C. A., Schmidt, N. L., et al. (2018) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2018.2132 · Cited by 138 · see citing works
Self-citationPediatric neuroimaging using magnetic resonance imaging during non-sedated sleep
Dean, D. C., Dirks, H., O’Muircheartaigh, J., Walker, L., Jerskey, B. A., Lehman, K., Han, M., Waskiewicz, N., & Deoni, S. C. L. (2014) · Pediatric Radiology · doi:10.1007/s00247-013-2752-8 · Cited by 138 · see citing works
Self-citationZhang, Y., Wei, H., Cronin, M. J., He, N., Yan, F., & Liu, C. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.008 · Cited by 136 · see citing works
So You Want to Image Myelin Using MRI: An Overview and Practical Guide for Myelin Water Imaging
Lee, J., Hyun, J., Lee, J., Choi, E., Shin, H., Min, K., Nam, Y., Kim, H. J., & Oh, S. (2021) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.27059 · Cited by 134 · see citing works
Associations between Neighborhood SES and Functional Brain Network Development
Tooley, U. A., Mackey, A. P., Ćirić, R., Ruparel, K., Moore, T. M., Gur, R. C., Gur, R. E., Satterthwaite, T. D., & Bassett, D. S. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz066 · Cited by 134 · see citing works
Norbom, L. B., Ferschmann, L., Parker, N., Agartz, I., Andreassen, O. A., Paus, T., Westlye, L. T., & Tamnes, C. K. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2021.102109 · Cited by 122 · see citing works
Sphingomyelin in Brain and Cognitive Development: Preliminary Data
Schneider, N., Hauser, J., de Oliveira, M. C., Cazaubon, E., Mottaz, S. C., O’Neill, B. V., Steiner, P., & Deoni, S. (2019) · eNeuro · doi:10.1523/eneuro.0421-18.2019 · Cited by 126 · see citing works
Self-citationGlobal 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 · see citing works
Detailing neuroanatomical development in late childhood and early adolescence using NODDI
Mah, A., Geeraert, B., & Lebel, C. A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182340 · Cited by 116 · see citing works
Mapping an index of the myelin g-ratio in infants using magnetic resonance imaging
Dean, D. C., O'Muircheartaigh, J., Dirks, H., Travers, B. G., Adluru, N., Alexander, A. L., & Deoni, S. C. L. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.040 · Cited by 121 · see citing works
Self-citationThe Dancing Brain: Structural and Functional Signatures of Expert Dance Training
Burzynska, A. Z., Finc, K., Taylor, B. K., Knecht, A. M., & Kramer, A. F. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00566 · Cited by 120 · see citing works
Micapipe: A pipeline for multimodal neuroimaging and connectome analysis
Rodríguez‐Cruces, R., Royer, J., Herholz, P., Larivière, S., de Wael, R. V., Paquola, C., Benkarim, O. M., Park, B., Degré‐Pelletier, J., Nelson, M. C., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119612 · Cited by 116 · see citing works
Grotheer, M., Rosenke, M., Wu, H., Kular, H., Querdasi, F. R., Natu, V. S., Yeatman, J. D., & Kalanit Grill-spector, A. (2022) · Nature Communications · doi:10.1038/s41467-022-28326-4 · Cited by 114 · see citing works
Alterations of Myelin Content in Parkinson’s Disease: A Cross-Sectional Neuroimaging Study
Dean, D., Sojkova, J., Hurley, S. A., Kecskemeti, S., Okonkwo, O. C., Bendlin, B. B., Theisen, F., Johnson, S. C., Alexander, A. L., & Gallagher, C. L. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163774 · Cited by 103 · see citing works
Self-citationModeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI
Warntjes, M. J. B., Engström, M., Tisell, A., & Lundberg, P. (2016) · Frontiers in Neurology · doi:10.3389/fneur.2016.00016 · Cited by 103 · see citing works
A novel ecological account of prefrontal cortex functional development.
Werchan, D. M., & Amso, D. (2017) · Psychological Review · doi:10.1037/rev0000078 · Cited by 101 · see citing works
Dynamics of the human structural connectome underlying working memory training
Caeyenberghs, K., Metzler-Baddeley, C., Foley, S., & Jones, D. K. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.1973-15.2016 · Cited by 91 · see citing works
Comparison of myelin water fraction from multiecho T2 decay curve and steady‐state methods
Zhang, J., Kolind, S., Laule, C., & MacKay, A. L. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25125 · Cited by 89 · see citing works
Myelin development in cerebral gray and white matter during adolescence and late childhood
Corrigan, N. M., Yarnykh, V. L., Hippe, D. S., Owen, J. P., Huber, E., Zhao, T. C., & Kuhl, P. K. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117678 · Cited by 86 · see citing works
Caffrey, A., McNulty, H., Rollins, M., Prasad, G., Gaur, P., Talcott, J. B., Witton, C., Cassidy, T., Marshall, B., Dornan, J. C., et al. (2021) · BMC Medicine · doi:10.1186/s12916-021-01914-9 · Cited by 87 · see citing works
Mercer, J., Erickson‐Owens, D. A., Deoni, S., Dean, D., Collins, J. A., Parker, A. B., Wang, M., Joelson, S., Mercer, E. N., & Padbury, J. F. (2018) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2018.06.006 · Cited by 86 · see citing works
Self-citationMyelination Is Associated with Processing Speed in Early Childhood: Preliminary Insights
Chevalier, N., Kurth, S., Doucette, M., Wiseheart, M., Deoni, S., Dean, D., O’Muircheartaigh, J., Blackwell, K. A., Munakata, Y., & LeBourgeois, M. K. (2015) · PLoS ONE · doi:10.1371/journal.pone.0139897 · Cited by 85 · see citing works
Self-citationUchida, Y., Kan, H., Sakurai, K., Oishi, K., & Matsukawa, N. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.938092 · Cited by 85 · see citing works
Karolis, V., Froudist-Walsh, S., Kroll, J., Brittain, P., Tseng, C., Nam, K., Reinders, A., Murray, R., Williams, S. C. R., Thompson, P., et al. (2017) · bioRxiv · doi:10.1016/j.neuroimage.2017.09.039 · Cited by 86 · see citing works
Interactions between White Matter Asymmetry and Language during Neurodevelopment
O’Muircheartaigh, J., Dean, D., Dirks, H., Waskiewicz, N., Lehman, K., Jerskey, B. A., & Deoni, S. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1463-13.2013 · Cited by 86 · see citing works
Self-citationBatallé, D., Edwards, A. D., & O’Muircheartaigh, J. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12838 · Cited by 83 · see citing works
Self-citationMulti-parametric evaluation of the white matter maturation
Kulikova, S. P., Hertz‐Pannier, L., Dehaene‐Lambertz, G., Владимирович, Б. А., Poupon, C., & Dubois, J. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0881-y · Cited by 83 · see citing works
White-matter relaxation time and myelin water fraction differences in young adults with autism
Deoni, S., Zinkstok, J., Daly, E., Ecker, C., Williams, S., & Murphy, D. (2014) · Psychological Medicine · doi:10.1017/s0033291714001858 · Cited by 80 · see citing works
Self-citationLynch, K. M., Cabeen, R. P., Toga, A. W., & Clark, K. A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116672 · Cited by 79 · see citing works
Chen, Y., Chen, M., Baluyot, K., Potts, T., Jimenez, J., & Lin, W. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.038 · Cited by 79 · see citing works
Accessible pediatric neuroimaging using a low field strength MRI scanner
Deoni, S., Bruchhage, M. M. K., Beauchemin, J., Volpe, A. R., D’Sa, V. A., Huentelman, M. J., & Williams, S. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118273 · Cited by 79 · see citing works
Self-citationBouhrara, M., & Spencer, R. G. S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.034 · Cited by 79 · see citing works
Consumption of seaweeds and the human brain
Cornish, M. L., Critchley, A. T., & Mouritsen, O. G. (2017) · Journal of Applied Phycology · doi:10.1007/s10811-016-1049-3 · Cited by 81 · see citing works
Investigation of brain structure in the 1-month infant
Dean, D., Planalp, E. M., Wooten, W., Schmidt, C. K., Kecskemeti, S., Frye, C. J., Schmidt, N. L., Goldsmith, H. H., Alexander, A. L., & Davidson, R. J. (2018) · Brain Structure and Function · doi:10.1007/s00429-017-1600-2 · Cited by 74 · see citing works
Self-citationAdvances in myelin imaging with potential clinical application to pediatric imaging
Spader, H. S., Ellermeier, A., O’Muircheartaigh, J., Dean, D., Dirks, H., Boxerman, J. L., Cosgrove, G. R., & Deoni, S. (2013) · Neurosurgical FOCUS · doi:10.3171/2013.1.focus12426 · Cited by 77 · see citing works
Self-citationTraveling Slow Oscillations During Sleep: A Marker of Brain Connectivity in Childhood
Kurth, S., Riedner, B. A., Dean, D., O’Muircheartaigh, J., Huber, R., Jenni, O. G., Deoni, S., & LeBourgeois, M. K. (2017) · SLEEP · doi:10.1093/sleep/zsx121 · Cited by 77 · see citing works
Self-citationCan, D. D., Richards, T. L., & Kuhl, P. K. (2012) · Brain and Language · doi:10.1016/j.bandl.2012.10.007 · Cited by 77 · see citing works
Learning in Infancy Is Active, Endogenously Motivated, and Depends on the Prefrontal Cortices
Raz, G., & Saxe, R. R. (2020) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-121318-084841 · Cited by 71 · see citing works
Khattar, N., Triebswetter, C., Kiely, M., Ferrucci, L., Resnick, S. M., Spencer, R. G. S., & Bouhrara, M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118267 · Cited by 73 · see citing works
Development of Brain EEG Connectivity across Early Childhood: Does Sleep Play a Role?
Kurth, S., Achermann, P., Rusterholz, T., & LeBourgeois, M. K. (2013) · Brain Sciences · doi:10.3390/brainsci3041445 · Cited by 73 · see citing works
Richetto, J., Chesters, R., Cattaneo, A., Labouesse, M. A., Gutierrez, A. M. C., Wood, T., Luoni, A., Meyer, U., Vernon, A. C., & Riva, M. A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw320 · Cited by 72 · see citing works
Age-related functional brain changes in young children
Long, X., Benischek, A., Dewey, D., & Lebel, C. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.059 · Cited by 70 · see citing works
Croteau-Chonka, E. C., Dean, D. C., Remer, J., Dirks, H., O'Muircheartaigh, J., & Deoni, S. C. L. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.038 · Cited by 70 · see citing works
Self-citationSleep and Early Cortical Development
Kurth, S., Olini, N., Huber, R., & LeBourgeois, M. K. (2015) · Current Sleep Medicine Reports · doi:10.1007/s40675-014-0002-8 · Cited by 72 · see citing works
Schneider, J., Kober, T., Graz, M. B., Meuli, R. A., Hüppi, P. S., Hagmann, P., & Truttmann, A. C. (2015) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4510 · Cited by 70 · see citing works
A multiparametric analysis of white matter maturation during late childhood and adolescence
Geeraert, B. L., Lebel, R. M., & Lebel, C. (2019) · Human Brain Mapping · doi:10.1002/hbm.24706 · Cited by 69 · see citing works
Deoni, S., & Kolind, S. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25108 · Cited by 69 · see citing works
Self-citationGeeraert, B., Lebel, R. M., Mah, A., Deoni, S., Alsop, D. C., Varma, G., & Lebel, C. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.019 · Cited by 68 · see citing works
Self-citationMapping White Matter Microstructure in the One Month Human Brain
Dean, D., Planalp, E. M., Wooten, W., Adluru, N., Kecskemeti, S., Frye, C. J., Schmidt, C. K., Schmidt, N. L., Styner, M. A., Goldsmith, H. H., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-09915-6 · Cited by 68 · see citing works
Self-citationAge-Related Changes in Tissue Value Properties in Children
Lee, S. M., Choi, Y. H., You, S. K., Lee, W. K., Kim, W. H., Kim, H. J., Lee, S. Y., & Cheon, H. (2017) · Investigative Radiology · doi:10.1097/rli.0000000000000435 · Cited by 67 · see citing works
Gorgoni, M., D’Atri, A., Scarpelli, S., Reda, F., & Gennaro, L. D. (2019) · Sleep Medicine · doi:10.1016/j.sleep.2019.06.025 · Cited by 67 · see citing works
Jha, S. C., Meltzer-Brody, S., Steiner, R. J., Cornea, E., Woolson, S., Ahn, M., Verde, A. R., Hamer, R. M., Zhu, H., Styner, M., et al. (2016) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2016.05.004 · Cited by 66 · see citing works
Differential White Matter Maturation from Birth to 8 Years of Age
Yu, Q., Peng, Y., Kang, H., Peng, Q., Ouyang, M., Slinger, M. A., Hu, D., Shou, H., Fang, F., & Huang, H. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz268 · Cited by 62 · see citing works
Increased Sleep Depth in Developing Neural Networks: New Insights from Sleep Restriction in Children
Kurth, S., Dean, D., Achermann, P., O’Muircheartaigh, J., Huber, R., Deoni, S., & LeBourgeois, M. K. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00456 · Cited by 63 · see citing works
Self-citationTuresky, T. K., Vanderauwera, J., & Gaab, N. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100893 · Cited by 62 · see citing works
Estimating the age of healthy infants from quantitative myelin water fraction maps
Dean, D., O’Muircheartaigh, J., Dirks, H., Waskiewicz, N., Lehman, K., Walker, L., Piryatinsky, I., & Deoni, S. (2015) · Human Brain Mapping · doi:10.1002/hbm.22671 · Cited by 63 · see citing works
Self-citationWhite matter development from birth to 6 years of age: a longitudinal study
Stephens, R. L., Langworthy, B. W., Short, S. J., Girault, J. B., Styner, M. A., & Gilmore, J. H. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa170 · Cited by 63 · see citing works
Magnetic resonance diffusion tractography of the preterm infant brain: a systematic review
Pannek, K., Scheck, S. M., Colditz, P. B., Boyd, R. N., & Rose, S. (2013) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.12250 · Cited by 62 · see citing works
Brain microstructure by multi‐modal MRI: Is the whole greater than the sum of its parts?
Cercignani, M., & Bouyagoub, S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.052 · Cited by 58 · see citing works
Zhang, Y., Shi, J., Wei, H., Han, V. K. M., Zhu, W., & Liu, C. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.031 · Cited by 61 · see citing works
White matter microstructural development and cognitive ability in the first 2 years of life
Girault, J. B., Cornea, E. A., Goldman, B. D., Knickmeyer, R. C., Styner, M. A., & Gilmore, J. H. (2018) · Human Brain Mapping · doi:10.1002/hbm.24439 · Cited by 60 · see citing works
A New Hypothesis for Alzheimer’s Disease: The Lipid Invasion Model
Rudge, J. D. (2022) · Journal of Alzheimer's Disease Reports · doi:10.3233/adr-210299 · Cited by 58 · see citing works
Cafiero, R., Bräuer, J., Anwander, A., & Friederici, A. D. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy277 · Cited by 57 · see citing works
Inherent and unpredictable bias in multi-component DESPOT myelin water fraction estimation
West, D. J., Teixeira, R. P. A. G., Wood, T., Hajnal, J. V., Tournier, J., & Malik, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.049 · Cited by 56 · see citing works
Insights into human cerebral white matter maturation and degeneration across the adult lifespan
Kiely, M., Triebswetter, C., Cortina, L. E., Gong, Z., Alsameen, M. H., Spencer, R. G. S., & Bouhrara, M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118727 · Cited by 56 · see citing works
Analysis of mcDESPOT‐ and CPMG‐derived parameter estimates for two‐component nonexchanging systems
Bouhrara, M., Reiter, D. A., Celik, H., Fishbein, K. W., Kijowski, R., & Spencer, R. G. S. (2015) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25801 · Cited by 56 · see citing works
Ball, G., Seidlitz, J., O’Muircheartaigh, J., Dimitrova, R., Fenchel, D., Makropoulos, A., Christiaens, D., Schuh, A., Passerat‐Palmbach, J., Hutter, J. M., et al. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000976 · Cited by 53 · see citing works
Self-citationCongenital cardiac anomalies and white matter injury
Morton, P. D., Ishibashi, N., Jonas, R. A., & Gallo, V. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.04.001 · Cited by 55 · see citing works
Yu, X., Ferradal, S. L., Sliva, D. D., Dunstan, J., Carruthers, C., Sanfilippo, J. S., Zuk, J., Zöllei, L., Boyd, E. C., Gagoski, B. A., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab230 · Cited by 54 · see citing works
- Authors
- Deoni, S. C. L., Dean, D. C., O'Muircheartaigh, J., Dirks, H., & Jerskey, B. A.
- Affiliations
- Brown University (US)
- Corresponding author
- Deoni, Sean C.L.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2012-11
- Volume
- 63
- Issue
- 3
- Pages
- 1038-1053
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3711836
- OpenAlex
- W2131940336
- Cited by
- 390
- References
- 86
- Citations by year
- 2026: 18 · 2025: 28 · 2024: 25 · 2023: 32 · 2022: 27 · 2021: 36 · 2020: 64 · 2019: 32 · 2018: 27 · 2017: 27 · 2016: 25 · 2015: 21 · 2014: 14 · 2013: 12 · 2012: 2
- FWCI
- 11.84
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- National Institutes of Mental Health (R01 MH087510)
- Sir Henry Wellcome Postdoctoral Fellowship (No 096195)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
- Keywords
- white matter development, myelination, myelin water fraction, T1 relaxation time, T2 relaxation time, corpus callosum, brain development, infancy, early childhood, despots, cerebellum
- MeSH terms
- Brain, Brain Mapping, Child, Preschool, Female, Humans, Infant, Male, Myelin Sheath, Neurogenesis
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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.
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