Denoising scanner effects from multimodal MRI data using linked independent component analysis

Denoising scanner effects from multimodal MRI data using linked independent component analysis

Pooling magnetic resonance imaging (MRI) data across research studies, or utilizing shared data from imaging repositories, presents exceptional opportunities to advance and enhance reproducibility of neuroscience research. However, scanner confounds hinder pooling data collected on different scanner...

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Bibliographic Details
Main Authors: Huanjie Li, Stephen M. Smith, Staci Gruber, Scott E. Lukas, Marisa M. Silveri, Kevin P. Hill, William D.S. Killgore, Lisa D. Nickerson
Format: Article
Language:English
Published: Elsevier 2020-03-01
Series:NeuroImage
Subjects:
Linked independent component analysis
Data fusion
Multimodal
Multivariate regression
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919309796

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http://www.sciencedirect.com/science/article/pii/S1053811919309796

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