An analysis-ready and quality controlled resource for pediatric brain white-matter research
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Published:2022-10-12
Issue:1
Volume:9
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Richie-Halford AdamORCID, Cieslak MatthewORCID, Ai Lei, Caffarra Sendy, Covitz Sydney, Franco Alexandre R., Karipidis Iliana I., Kruper JohnORCID, Milham MichaelORCID, Avelar-Pereira BárbaraORCID, Roy Ethan, Sydnor Valerie J., Yeatman Jason D., Abbott Nicholas J.ORCID, Anderson John A. E.ORCID, Gagana B., Bleile MaryLenaORCID, Bloomfield Peter S.ORCID, Bottom Vince, Bourque Josiane, Boyle RoryORCID, Brynildsen Julia K.ORCID, Calarco NavonaORCID, Castrellon Jaime J.ORCID, Chaku NatashaORCID, Chen BosiORCID, Chopra SidhantORCID, Coffey Emily B. J.ORCID, Colenbier NigelORCID, Cox Daniel J., Crippen James Elliott, Crouse Jacob J.ORCID, David SzabolcsORCID, Leener Benjamin DeORCID, Delap Gwyneth, Deng Zhi-DeORCID, Dugre Jules RogerORCID, Eklund AndersORCID, Ellis KirstenORCID, Ered ArielleORCID, Farmer HarryORCID, Faskowitz JoshuaORCID, Finch Jody E.ORCID, Flandin GuillaumeORCID, Flounders Matthew W.ORCID, Fonville LeonORCID, Frandsen Summer B., Garic DeaORCID, Garrido-Vásquez PatriciaORCID, Gonzalez-Escamilla GabrielORCID, Grogans Shannon E.ORCID, Grotheer MareikeORCID, Gruskin David C.ORCID, Guberman Guido I., Haggerty Edda BrianaORCID, Hahn Younghee, Hall Elizabeth H., Hanson Jamie L.ORCID, Harel YannORCID, Vieira Bruno HeblingORCID, Hettwer Meike D.ORCID, Hobday Harriet, Horien CoreyORCID, Huang Fan, Huque Zeeshan M., James Anthony R.ORCID, Kahhale IsabellaORCID, Kamhout Sarah L. H., Keller Arielle S.ORCID, Khera Harmandeep SinghORCID, Kiar GregoryORCID, Kirk Peter AlexanderORCID, Kohl Simon H.ORCID, Korenic Stephanie A., Korponay ColeORCID, Kozlowski Alyssa K., Kraljevic NevenaORCID, Lazari AlbertoORCID, Leavitt Mackenzie J.ORCID, Li ZhaolongORCID, Liberati GiuliaORCID, Lorenc Elizabeth S.ORCID, Lossin Annabelle JulinaORCID, Lotter Leon D.ORCID, Lydon-Staley David M.ORCID, Madan Christopher R.ORCID, Magielse NevilleORCID, Marusak Hilary A.ORCID, Mayor JulienORCID, McGowan Amanda L.ORCID, Mehta Kahini P., Meisler Steven LeeORCID, Michael CleanthisORCID, Mitchell Mackenzie E.ORCID, Morand-Beaulieu SimonORCID, Newman Benjamin T.ORCID, Nielsen Jared A.ORCID, O’Mara Shane M., Ojha AmarORCID, Omary Adam, Özarslan EvrenORCID, Parkes LindenORCID, Peterson Madeline, Pines Adam Robert, Pisanu ClaudiaORCID, Rich Ryan R.ORCID, Sacchet Matthew D., Sahoo Ashish K.ORCID, Samara AmjadORCID, Sayed Farah, Schneider Jonathan ThoreORCID, Shaffer Lindsay S.ORCID, Shatalina EkaterinaORCID, Sims Sara A.ORCID, Sinclair SkylerORCID, Song Jae W.ORCID, Hogrogian Griffin StocktonORCID, Tamnes Christian K., Tooley Ursula A.ORCID, Tripathi Vaibhav, Turker Hamid B.ORCID, Valk Sofie LouiseORCID, Wall Matthew B.ORCID, Walther Cheryl K., Wang YuchaoORCID, Wegmann BertilORCID, Welton ThomasORCID, Wiesman Alex I.ORCID, Wiesman Andrew G., Wiesman Mark, Winters Drew E.ORCID, Yuan Ruiyi, Zacharek Sadie J.ORCID, Zajner ChrisORCID, Zakharov IlyaORCID, Zammarchi GianpaoloORCID, Zhou DaleORCID, Zimmerman BenjaminORCID, Zoner Kurt, Satterthwaite Theodore D., Rokem ArielORCID,
Abstract
AbstractWe 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 further analysis of the neural network demonstrates that it relies on image features with relevance to QC. Altogether, this work both delivers resources to advance transdiagnostic research in brain connectivity and pediatric mental health, and establishes a novel paradigm for automated QC of large datasets.
Funder
U.S. Department of Health & Human Services | NIH | National Institute of Mental Health U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference121 articles.
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