Robust Motion Regression of Resting-State Data Using a Convolutional Neural Network Model

Robust Motion Regression of Resting-State Data Using a Convolutional Neural Network Model

Resting-state functional magnetic resonance imaging (rs-fMRI) based on the blood-oxygen-level-dependent (BOLD) signal has been widely used in healthy individuals and patients to investigate brain functions when the subjects are in a resting or task-negative state. Head motion considerably confounds...

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Bibliographic Details
Main Authors: Zhengshi Yang, Xiaowei Zhuang, Karthik Sreenivasan, Virendra Mishra, Dietmar Cordes, the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Neuroscience
Subjects:
fMRI
denoising
convolutional neural network
motion artifact
nuisance regression
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.00169/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2019.00169/full

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