Highly replicable multisite patterns of adolescent white matter maturation
Meisler, S. L.; Cieslak, M.; Bagautdinova, J.; Hendrickson, T. J.; Pandhi, T.; Chen, A. A.; Hillman, N.; Radhakrishnan, H.; Salo, T.; Feczko, E.; Weldon, K. B.; McCollum, r.; Fayzullobekova, B.; Moore, L. A.; Sisk, L.; Davatzikos, C.; Huang, H.; Avelar-Pereira, B.; Caffarra, S.; Chang, K.; Cook, P. A.; Flook, E. A.; Gomez, T.; Grotheer, M.; Hagen, M. P.; Huque, Z. M.; Karipidis, I. I.; Keller, A. S.; Kruper, J.; Luo, A. C.; Macedo, B.; Mehta, K.; Mitchell, J. L.; Pines, A. R.; Pritschet, L.; Rauland, A.; Roy, E.; Sevchik, B. L.; Shafiei, G.; Singleton, S. P.; Stone, H. L.; Sun, K. Y.; Sydnor,
Show abstract
The Adolescent Brain Cognitive Development (ABCD) Study is the largest U.S.-based neuroimaging initiative of adolescent brain maturation. Diffusion MRI (dMRI) provides unique insights into white matter organization, yet applying advanced processing pipelines and managing technical variability across scanning environments remains challenging at scale. To address these issues, we present ABCD-BIDS Community Collection (ABCC) release 3.1.0, including a curated resource of more than 24,000 fully processed ABCD dMRI datasets. ABCC provides fully processed images, nuanced image quality metrics, advanced microstructural measures, and person-specific bundle tractography. Evaluating these rich data revealed that measures of diffusion restriction and non-Gaussianity--in particular the intracellular volume fraction from NODDI and return-to-origin probability from MAP-MRI--were highly sensitive to neurodevelopment and robust to variation in image quality. Additionally, harmonization of microstructural features markedly improved the cross-vendor generalizability of developmental effects. Together, ABCC accelerates reproducible, rigorous research on adolescent white matter development.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.