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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Detalles Bibliográficos
Autores principales: Huanjie Li, Stephen M. Smith, Staci Gruber, Scott E. Lukas, Marisa M. Silveri, Kevin P. Hill, William D.S. Killgore, Lisa D. Nickerson
Formato: Artículo
Lenguaje:English
Publicado: Elsevier 2020-03-01
Colección:NeuroImage
Materias:
Linked independent component analysis
Data fusion
Multimodal
Multivariate regression
Acceso en línea:http://www.sciencedirect.com/science/article/pii/S1053811919309796

Internet

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

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