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An analysis-ready and quality controlled resource for pediatric brain white-matter research.

Publication ,  Journal Article
Richie-Halford, A; Cieslak, M; Ai, L; Caffarra, S; Covitz, S; Franco, AR; Karipidis, II; Kruper, J; Milham, M; Avelar-Pereira, B; Roy, E ...
Published in: Scientific data
October 2022

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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Published In

Scientific data

DOI

EISSN

2052-4463

ISSN

2052-4463

Publication Date

October 2022

Volume

9

Issue

1

Start / End Page

616

Related Subject Headings

  • White Matter
  • Neuroimaging
  • Image Processing, Computer-Assisted
  • Humans
  • Diffusion Magnetic Resonance Imaging
  • Child
  • Brain
 

Citation

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Chicago
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Richie-Halford, A., Cieslak, M., Ai, L., Caffarra, S., Covitz, S., Franco, A. R., … Rokem, A. (2022). An analysis-ready and quality controlled resource for pediatric brain white-matter research. Scientific Data, 9(1), 616. https://doi.org/10.1038/s41597-022-01695-7
Richie-Halford, Adam, Matthew Cieslak, Lei Ai, Sendy Caffarra, Sydney Covitz, Alexandre R. Franco, Iliana I. Karipidis, et al. “An analysis-ready and quality controlled resource for pediatric brain white-matter research.Scientific Data 9, no. 1 (October 2022): 616. https://doi.org/10.1038/s41597-022-01695-7.
Richie-Halford A, Cieslak M, Ai L, Caffarra S, Covitz S, Franco AR, et al. An analysis-ready and quality controlled resource for pediatric brain white-matter research. Scientific data. 2022 Oct;9(1):616.
Richie-Halford, Adam, et al. “An analysis-ready and quality controlled resource for pediatric brain white-matter research.Scientific Data, vol. 9, no. 1, Oct. 2022, p. 616. Epmc, doi:10.1038/s41597-022-01695-7.
Richie-Halford A, Cieslak M, Ai L, Caffarra S, Covitz S, Franco AR, Karipidis II, Kruper J, Milham M, Avelar-Pereira B, Roy E, Sydnor VJ, Yeatman JD, Fibr Community Science Consortium, Satterthwaite TD, Rokem A. An analysis-ready and quality controlled resource for pediatric brain white-matter research. Scientific data. 2022 Oct;9(1):616.

Published In

Scientific data

DOI

EISSN

2052-4463

ISSN

2052-4463

Publication Date

October 2022

Volume

9

Issue

1

Start / End Page

616

Related Subject Headings

  • White Matter
  • Neuroimaging
  • Image Processing, Computer-Assisted
  • Humans
  • Diffusion Magnetic Resonance Imaging
  • Child
  • Brain