Andersson JL, Sotiropoulos SN (2016) An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. Neuroimage 125:1063–1078
Andersson JL, Skare S, Ashburner J (2003) How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. Neuroimage 20(2):870–888
Andersson JL, Graham MS, Zsoldos E, Sotiropoulos SN (2016) Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images. Neuroimage 141:556–572
Andersson JL, Graham MS, Drobnjak I, Zhang H, Filippini N, Bastiani M (2017) Towards a comprehensive framework for movement and distortion correction of diffusion MR images: within volume movement. Neuroimage 152:450–466
Arshad M, Stanley JA, Raz N (2017) Test-retest reliability and concurrent validity of in vivo myelin content indices: myelin water fraction and calibrated T(1) w/T(2) w image ratio. Hum Brain Mapp 38(4):1780–1790. https://doi.org/10.1002/hbm.23481
Avants BB, Tustison NJ, Song G, Cook PA, Klein A, Gee JCJN (2011) A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage 54(3):2033–2044
Baranger DAA, Halchenko YO, Satz S, Ragozzino R, Iyengar S, Swartz HA, Manelis A (2021) Protocol for a machine learning algorithm predicting depressive disorders using the T1w/T2w ratio. MethodsX 8:101595. https://doi.org/10.1016/j.mex.2021.101595
Article PubMed PubMed Central Google Scholar
Bastiani M, Cottaar M, Fitzgibbon SP, Suri S, Alfaro-Almagro F, Sotiropoulos SN, Jbabdi S, Andersson JL (2019) Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction. Neuroimage 184:801–812
Bates D, Mächler M, Bolker B, Walker S (2014) Fitting linear mixed-effects models using lme4. arXiv preprint arXiv:1406.5823.
Baum GL, Flournoy JC, Glasser MF, Harms MP, Mair P, Sanders AFP, Barch DM, Buckner RL, Bookheimer S, Dapretto M, Smith S, Thomas KM, Yacoub E, Van Essen DC, Somerville LH (2022) Graded variation in T1w/T2w ratio during adolescence: measurement, caveats, and implications for development of cortical myelin. J Neurosci: off J Soc Neurosci 42(29):5681–5694. https://doi.org/10.1523/JNEUROSCI.2380-21.2022
Beaulieu C, Johansen-Berg H, Behrens T (2009) Diffusion MRI: from quantitative measurement to in vivo neuroanatomy. Elsevier, London
Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc: Ser B (methodol) 57(1):289–300
Brauer J, Anwander A, Friederici AD (2011) Neuroanatomical prerequisites for language functions in the maturing brain. Cereb Cortex 21(2):459–466. https://doi.org/10.1093/cercor/bhq108
Buyanova IS, Arsalidou M (2021) Cerebral white matter myelination and relations to age, gender, and cognition: a selective review. Front Human Neurosci. https://doi.org/10.3389/fnhum.2021.662031
Chen B, Linke A, Olson L, Kohli J, Kinnear M, Sereno M, Müller R-A, Carper R, Fishman I (2022) Cortical myelination in toddlers and preschoolers with autism spectrum disorder. Dev Neurobiol 82(3):261–274. https://doi.org/10.1002/dneu.22874
Article PubMed PubMed Central Google Scholar
Cordero-Grande L, Christiaens D, Hutter J, Price AN, Hajnal JV (2019) Complex diffusion-weighted image estimation via matrix recovery under general noise models. Neuroimage 200:391–404
Dhollander T, Mito R, Raffelt D, Connelly A (2019) Improved white matter response function estimation for 3-tissue constrained spherical deconvolution. Proc Intl Soc Mag Reson Med. https://www.researchgate.net/publication/331165168_Improved_white_matter_response_function_estimation_for_3-tissue_constrained_spherical_deconvolution
Du G, Lewis MM, Sica C, Kong L, Huang X (2019) Magnetic resonance T1w/T2w ratio: a parsimonious marker for Parkinson disease. Ann Neurol 85(1):96–104. https://doi.org/10.1002/ana.25376
Fonov VS, Evans AC, McKinstry RC, Almli C, Collins DJN (2009) Unbiased nonlinear average age-appropriate brain templates from birth to adulthood. Neuroimage 47:S102
Fonov V, Evans AC, Botteron K, Almli CR, McKinstry RC, Collins DL, Neuroimage BDCGJ (2011) Unbiased average age-appropriate atlases for pediatric studies. Neuroimage 54(1):313–327
Ganzetti M, Wenderoth N, Mantini D (2015) Mapping pathological changes in brain structure by combining T1- and T2-weighted MR imaging data. Neuroradiology 57(9):917–928. https://doi.org/10.1007/s00234-015-1550-4
Article PubMed PubMed Central Google Scholar
Genc S, Smith RE, Malpas CB, Anderson V, Nicholson JM, Efron D, Sciberras E, Seal ML, Silk TJ (2018) Development of white matter fibre density and morphology over childhood: a longitudinal fixel-based analysis. Neuroimage 183:666–676. https://doi.org/10.1016/j.neuroimage.2018.08.043
Genc S, Malpas CB, Gulenc A, Sciberras E, Efron D, Silk TJ, Seal ML (2020) Longitudinal patterns of white matter fibre density and morphology in children are associated with age and pubertal stage. Dev Cogn Neurosci 45:100853. https://doi.org/10.1016/j.dcn.2020.100853
Article PubMed PubMed Central Google Scholar
Glasser MF, Van Essen DC (2011) Mapping human cortical areas in vivo based on myelin content as revealed by T1-and T2-weighted MRI. J Neurosci 31(32):11597–11616
Article CAS PubMed PubMed Central Google Scholar
Haist F, Adamo M, Han J, Lee K, Stiles J (2011) On the development of human face-processing abilities: Evidence for hyperactivation of the extended face system in children. J vis 11(11):461–461. https://doi.org/10.1167/11.11.461
Jenkinson M, Smith S (2001) A global optimisation method for robust affine registration of brain images. Med Image Anal 5(2):143–156
Article CAS PubMed Google Scholar
Jenkinson M, Bannister P, Brady M, Smith S (2002) Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17(2):825–841
Kellner E, Dhital B, Kiselev VG, Reisert M (2016) Gibbs-ringing artifact removal based on local subvoxel-shifts. Magn Reson Med 76(5):1574–1581
Lebel C, Beaulieu C (2011) Longitudinal development of human brain wiring continues from childhood into adulthood. J Neurosci 31(30):10937. https://doi.org/10.1523/JNEUROSCI.5302-10.2011
Article CAS PubMed PubMed Central Google Scholar
Lebel C, Deoni SCL (2018) The development of brain white matter microstructure. Neuroimage. https://doi.org/10.1016/j.neuroimage.2017.12.097
Lewis F, Butler A, Gilbert L (2011) A unified approach to model selection using the likelihood ratio test. Methods Ecol Evol 2(2):155–162
Luo X, Li K, Zeng Q, Huang P, Jiaerken Y, Wang S, Shen Z, Xu X, Xu J, Wang C, Kong L, Zhou J, Zhang M (2019) Application of T1-/T2-weighted ratio mapping to elucidate intracortical demyelination process in the Alzheimer’s disease continuum. Front Neurosci 13:904. https://doi.org/10.3389/fnins.2019.00904
Article PubMed PubMed Central Google Scholar
May T, Adesina I, McGillivray J, Rinehart NJ (2019) Sex differences in neurodevelopmental disorders. Curr Opin Neurol 32(4):622–626
Norbom LB, Rokicki J, Alnaes D, Kaufmann T, Doan NT, Andreassen OA, Westlye LT, Tamnes CK (2020) Maturation of cortical microstructure and cognitive development in childhood and adolescence: a T1w/T2w ratio MRI study. Hum Brain Mapp 41(16):4676–4690. https://doi.org/10.1002/hbm.25149
Article PubMed PubMed Central Google Scholar
Patel Y, Shin J, Drakesmith M, Evans J, Pausova Z, Paus T (2020) Virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young men. Neuroimage 218:116968. https://doi.org/10.1016/j.neuroimage.2020.116968
Article CAS PubMed Google Scholar
Petracca M, El Mendili MM, Moro M, Cocozza S, Podranski K, Fleysher L, Inglese M (2020) Laminar analysis of the cortical T1/T2-weighted ratio at 7T. Neurol(r) Neuroimmunol Neuroinflamm. https://doi.org/10.1212/NXI.0000000000000900
Pinheiro J, Bates D, DebRoy S, Sarkar D, Heisterkamp S, Van Willigen B, Maintainer R (2017) Package ‘nlme.’ Linear Nonlinear Mixed Eff Models Version 3(1):274
Preziosa P, Bouman PM, Kiljan S, Steenwijk MD, Meani A, Pouwels PJ, Rocca MA, Filippi M, Geurts JJG, Jonkman LE (2021) Neurite density explains cortical T1-weighted/T2-weighted ratio in multiple sclerosis. J Neurol Neurosurg Psychiatry 92(7):790–792. https://doi.org/10.1136/jnnp-2020-324391
R Core Team R (2013) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. http://www.R-project.org/
Raffelt DA, Tournier JD, Smith RE, Vaughan DN, Jackson G, Ridgway GR, Connelly A (2017) Investigating white matter fibre density and morphology using fixel-based analysis. Neuroimage 144:58–73. https://doi.org/10.1016/j.neuroimage.2016.09.029
Silk TJ, Genc S, Anderson V, Efron D, Hazell P, Nicholson JM, Kean M, Malpas CB, Sciberras E (2016) Developmental brain trajectories in children with ADHD and controls: a longitudinal neuroimaging study. BMC Psychiatry 16(1):59. https://doi.org/10.1186/s12888-016-0770-4
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