An analysis-ready and quality controlled resource for pediatric brain white-matter research.
An analysis-ready and quality controlled resource for pediatric brain white-matter research.
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DOI：
10.1038/s41597-022-01695-7
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发表时间：
2022-10-12
期刊：
影响因子：
9.8
通讯作者：
Rokem, Ariel
中科院分区：
文献类型：
--
作者：
Richie-Halford, Adam;Cieslak, Matthew;Ai, Lei;Caffarra, Sendy;Covitz, Sydney;Franco, Alexandre R.;Karipidis, Iliana I.;Kruper, John;Milham, Michael;Avelar-Pereira, Barbara;Roy, Ethan;Sydnor, Valerie J.;Yeatman, Jason D.;Satterthwaite, Theodore D.;Rokem, Ariel;Abbott, Nicholas J.;Abbott, Nicholas J.;Anderson, John A. E.;Gagana, B.;Bleile, MaryLena;Bloomfield, Peter S.;Bottom, Vince;Bourque, Josiane;Boyle, Rory;Brynildsen, Julia K.;Calarco, Navona;Castrellon, Jaime J.;Chaku, Natasha;Chen, Bosi;Chopra, Sidhant;Coffey, Emily B. J.;Colenbier, Nigel;Cox, Daniel J.;Crippen, James Elliott;Crouse, Jacob J.;David, Szabolcs;Leener, Benjamin De;Delap, Gwyneth;Deng, Zhi-De;Dugre, Jules Roger;Eklund, Anders;Ellis, Kirsten;Ered, Arielle;Farmer, Harry;Faskowitz, Joshua;Finch, Jody E.;Flandin, Guillaume;Flounders, Matthew W.;Fonville, Leon;Frandsen, Summer B.;Garic, Dea;Garrido-Vasquez, Patricia;Gonzalez-Escamilla, Gabriel;Grogans, Shannon E.;Grotheer, Mareike;Gruskin, David C.;Guberman, Guido I.;Haggerty, Edda Briana;Hahn, Younghee;Hall, Elizabeth H.;Hanson, Jamie L.;Harel, Yann;Vieira, Bruno Hebling;Hettwer, Meike D.;Hobday, Harriet;Horien, Corey;Huang, Fan;Huque, Zeeshan M.;James, Anthony R.;Kahhale, Isabella;Kamhout, Sarah L. H.;Keller, Arielle S.;Khera, Harmandeep Singh;Kiar, Gregory;Kirk, Peter Alexander;Kohl, Simon H.;Korenic, Stephanie A.;Korponay, Cole;Kozlowski, Alyssa K.;Kraljevic, Nevena;Lazari, Alberto;Leavitt, Mackenzie J.;Li, Zhaolong;Liberati, Giulia;Lorenc, Elizabeth S.;Lossin, Annabelle Julina;Lotter, Leon D.;Lydon-Staley, David M.;Madan, Christopher R.;Magielse, Neville;Marusak, Hilary A.;Mayor, Julien;McGowan, Amanda L.;Mehta, Kahini P.;Meisler, Steven Lee;Michael, Cleanthis;Mitchell, Mackenzie E.;Morand-Beaulieu, Simon;Newman, Benjamin T.;Nielsen, Jared A.;O'Mara, Shane M.;Ojha, Amar;Omary, Adam;ozarslan, Evren;Parkes, Linden;Peterson, Madeline;Pines, Adam Robert;Pisanu, Claudia;Rich, Ryan R.;Sahoo, Ashish K.;Samara, Amjad;Sayed, Farah;Schneider, Jonathan Thore;Shaffer, Lindsay S.;Shatalina, Ekaterina;Sims, Sara A.;Sinclair, Skyler;Song, Jae W.;Hogrogian, Griffin Stockton;Tooley, Ursula A.;Tripathi, Vaibhav;Turker, Hamid B.;Valk, Sofie Louise;Wall, Matthew B.;Walther, Cheryl K.;Wang, Yuchao;Wegmann, Bertil;Welton, Thomas;Wiesman, Alex I.;Wiesman, Andrew G.;Wiesman, Mark;Winters, Drew E.;Yuan, Ruiyi;Zacharek, Sadie J.;Zajner, Chris;Zakharov, Ilya;Zammarchi, Gianpaolo;Zhou, Dale;Zimmerman, Benjamin;Zoner, Kurt;Satterthwaite, Theodore D.;Rokem, Ariel
我们创建了一组资源，以支持基于健康大脑网络(HBN)研究的公开可用的扩散磁共振(DMRI)数据的研究。首先，我们将HBN dMRI数据(N = 2747)整理到脑成像数据结构中，并根据最佳实践对其进行预处理，包括对运动效应、磁化率相关的失真和涡流进行去噪和校正。经处理的、可供分析的数据已公开提供。数据质量在dMRI分析中起着关键作用。为了优化QC并将其扩展到这个大型数据集，我们通过将专家评分的小数据子集和社区科学家评分的较大数据集相结合来训练神经网络。该网络执行的QC与专家在坚持集(ROC-AuC = 0.947)上的QC高度一致。对神经网络的进一步分析表明，它依赖于与质量控制相关的图像特征。总之，这项工作既为推进脑连接和儿科心理健康的跨诊断研究提供了资源，也为大数据集的自动化质量控制建立了一个新的范例。
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 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.
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影响因子：
3.5
作者：
Abraham A;Pedregosa F;Eickenberg M;Gervais P;Mueller A;Kossaifi J;Gramfort A;Thirion B;Varoquaux G
通讯作者：
Varoquaux G
影响因子：
3.7
作者：
Esteban, Oscar;Birman, Daniel;Gorgolewski, Krzysztof J.
通讯作者：
Gorgolewski, Krzysztof J.
影响因子：
4.7
作者：
Casey BJ;Cannonier T;Conley MI;Cohen AO;Barch DM;Heitzeg MM;Soules ME;Teslovich T;Dellarco DV;Garavan H;Orr CA;Wager TD;Banich MT;Speer NK;Sutherland MT;Riedel MC;Dick AS;Bjork JM;Thomas KM;Chaarani B;Mejia MH;Hagler DJ Jr;Daniela Cornejo M;Sicat CS;Harms MP;Dosenbach NUF;Rosenberg M;Earl E;Bartsch H;Watts R;Polimeni JR;Kuperman JM;Fair DA;Dale AM;ABCD Imaging Acquisition Workgroup
通讯作者：
ABCD Imaging Acquisition Workgroup
影响因子：
10.9
作者：
Avants, B. B.;Epstein, C. L.;Gee, J. C.
通讯作者：
Gee, J. C.
影响因子：
5.7
作者：
Andersson JLR;Sotiropoulos SN
通讯作者：
Sotiropoulos SN