We present a small data resource for comparing single-echo and multi-echo fMRI acquisitions. The multi-echo acquisition includes a number of enhancements over standard multi-echo fMRI acquisitions, including five echoes, complex reconstruction, and noise scans for thermal denoising. All raw data and fully-processed derived data are publicly shared on OpenNeuro.

While the E-SWAN DMDD questionnaire evaluates DMDD symptoms, its length increases response burden and limits use in resource-constrained settings. Using data from the Healthy Brain Network, here we developed an abbreviated version of the E-SWAN DMDD questionnaire using an approach based on Item Response Theory and computerized adaptive testing (CAT). Our 4-item short form correlated highly with the full form and demonstrated moderate associations with related behavioral constructs in developmental psychopathology. We anticipate that the short form will offer a brief assessment of DMDD that decreases burden for respondents.

The Adolescent Brain Cognitive Development (ABCD) Study is the largest U.S. effort to track brain development in adolescence. Diffusion MRI (dMRI) offers a powerful window into white matter, but large, multi-site datasets are difficult to process and analyze. We address this with the ABCD-BIDS Community Collection (ABCC, release 3.1.0): an open resource of 24,000+ fully processed dMRI scans. ABCC includes analysis-ready data, detailed quality metrics, advanced microstructural measures, and individualized white matter tractography. Using these data, we show that newer dMRI metrics outperform traditional measures in detecting developmental change—and are more robust to differences in image quality. We also demonstrate that harmonizing data across scanners improves the consistency of findings across sites. ABCC lowers barriers to large-scale neuroimaging and provides a powerful, open foundation for studying adolescent brain development.