biostudies-literatureRichie-Halford ANIMH NIH HHSU.S. Department of Health & Human Services | NIH | National Institute of Mental HealthU.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering616https://www.ebi.ac.uk/biostudies/studies/S-EPMC9556519biostudies-literatureUnknown9(1)We created a set of resources to enable research based on openly-available diffusion MRI (dMRI) data from the Healthy Brain Network (HBN) study. First, we curated the HBN dMRI data (N = 2747) into the Brain Imaging Data Structure and preprocessed it according to best-practices, including denoising and correcting for motion effects, susceptibility-related distortions, and eddy currents. Preprocessed, analysis-ready data was made openly available. Data quality plays a key role in the analysis of dMRI. To optimize QC and scale it to this large dataset, we trained a neural network through the combination of a small data subset scored by experts and a larger set scored by community scientists. The network performs QC highly concordant with that of experts on a held out set (ROC-AUC = 0.947). A Scientific dataAn analysis-ready and quality controlled resource for pediatric brain white-matter research.PMC9556519R01MH120482R01 MH1204821R01EB027585-011RF1MH121868-01Hogrogian GSSinclair SBrynildsen JKCaffarra SGonzalez-Escamilla GRichie-Halford ASydnor VJLydon-Staley DMCrouse JJSacchet MDOzarslan ECox DJWiesman AIWiesman AGKohl SHCastrellon JJYuan RSchneider JTKorenic SAKorponay CColenbier NCalarco NPeterson MLossin AJMadan CRKozlowski AKWiesman MShatalina EHahn YTooley UAGarrido-Vasquez PFaskowitz JGrotheer MPisanu CGruskin DCCoffey EBJZoner KFonville LGrogans SERokem AVieira BHDeng ZDKraljevic NHanson JLParkes LSayed FKaripidis IISims SASong JWRoy EBourque JLiberati GKeller ASKhera HSZhou DO'Mara SMWinters DEZajner CHuque ZMFrandsen SBKiar GNewman BTYeatman JDRich RRAi LWall MBFarmer HKirk PAShaffer LSWelton TZimmerman BAnderson JAEBleile MCieslak MAbbott NJEred AEklund ADugre JRGuberman GIFranco AROjha AHuang FLeavitt MJZakharov IKruper JChopra SAvelar-Pereira BHaggerty EBHorien CMichael CFinch JEGagana BFlounders MWZammarchi GMarusak HAHobday HWang YHall EHDelap GHarel YZacharek SJEllis KHettwer MDMorand-Beaulieu STamnes CKWegmann BBottom VChen BLorenc ESGaric DValk SLMagielse NBloomfield PSMayor JLi ZLotter LDWalther CKBoyle RJames ARSatterthwaite TDCrippen JELazari AMilham MMcGowan ALPines ARTurker HBMeisler SLFibr Community Science ConsortiumKamhout SLHOmary ALeener BMitchell MENielsen JAChaku NSamara ADavid SMehta KPCovitz SFlandin GKahhale ITripathi VSahoo AKfalseAn analysis-ready and quality controlled resource for pediatric brain white-matter research.We created a set of resources to enable research based on openly-available diffusion MRI (dMRI) data from the Healthy Brain Network (HBN) study. First, we curated the HBN dMRI data (N = 2747) into the Brain Imaging Data Structure and preprocessed it according to best-practices, including denoising and correcting for motion effects, susceptibility-related distortions, and eddy currents. Preprocessed, analysis-ready data was made openly available. Data quality plays a key role in the analysis of dMRI. To optimize QC and scale it to this large dataset, we trained a neural network through the combination of a small data subset scored by experts and a larger set scored by community scientists. The network performs QC highly concordant with that of experts on a held out set (ROC-AUC = 0.947). A 2022-01-01T00:00:00Z2022 Oct2025-04-26T09:45:13.631Z2024-10-15T20:44:06.421ZS-EPMC95565193622418610.1038/s41597-022-01695-7