White matter and literacy: A dynamic system in flux.

"code to reproduce the results and figures is available at https://github com/earoy/longitudinal_wm 2 1 the pling dataset was used to explore the relationship between changes in white matter properties and changes in academic skills over time."

"code to reproduce the results and figures is available at https://github com/earoy/longitudinal_wm 2 1 the pling dataset was used to explore the relationship between changes in white matter properties and changes in academic skills over time."

"Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper."

"This manuscript was prepared using a limited access dataset obtained from the Child Mind Institute Biobank, Healthy Brain Network. This manuscript reflects the views of the authors and does not necessarily reflect the opinions or views of the Child Mind Institute. Additional data were provided [in part] by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. Further data used for this study were obtained from the Pediatric Imaging, Neurocognition and Genetics Study (PING) repository (https://www.nitrc.org/projects/ping), a publicly shared data resource comprising standardized assessments of behavioral, neuroimaging and genetic variables in typically developing children, adolescents and young adults (Jernigan et al., 2016). As such, the investigators within PING (T. L. Jernigan, A. M. Dale, L. Chang, N. Akshoomoff, C. McCabe, E. Newman, T. M. Ernst, P. Van Zijl, J. M. Kuperman, S. S. Murray, C. S. Bloss, N. J. Schork, W. Thompson, H. Bartsch, D. G. Amaral, E. R. Sowell, W. E. Kaufmann, P. Van Zijl, S. Mostofsky, B. J. Casey, B. Rosen, T. Kenet, J. A. Frazier, D. N. Kennedy, and J. R. Gruen) contributed to the design and implementation of PING and/or provided data but did not participate in analysis or writing of this report. Instructions on how to access the data through the NIMH Data Archive (NDA) are provided (https://www.nitrc.org/plugins/mwiki/index.php/ping:MainPage). Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive DevelopmentSM (ABCD) Study (https://abcdstudy.org), held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000 children age 9–10 and follow them over 10 years into early adulthood. The ABCD Study® is supported by the National Institutes of Health and additional federal partners under award numbers U01DA041048, U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA041148, U01DA041093, U01DA041089, U24DA041123, U24DA041147. A full list of supporters is available at https://abcdstudy.org/federal-partners.html. A listing of participating sites and a complete listing of the study investigators can be found at https://abcdstudy.org/consortium_members/. ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in the analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time. The ABCD data used in this report came from http://dx.doi.org/10.15154/1523041. This work was funded by 10.13039/100009633Eunice Kennedy Shriver National Institute of Child Health and Human Development grants R01HD095861 and P50HD052120 to JDY, RF1MH121868 to AR and JDY and R01EB027585-02 to AR and Eleftherios Garyfallidis. ARH, AR and MN were also additionally supported by the Gordon & Betty Moore Foundation and the Alfred P. Sloan Foundation, through grants to the University of Washington eScience Institute Data Science Environment. Some compute resources were provided through Amazon Web Services and a grant from Microsoft Azure through the University of Washington eScience Institute."