To pool or not to pool: Can we ignore cross-trial variability in FMRI?

To pool or not to pool: Can we ignore cross-trial variability in FMRI?

In this work, we investigate the importance of explicitly accounting for cross-trial variability in neuroimaging data analysis. To attempt to obtain reliable estimates in a task-based experiment, each condition is usually repeated across many trials. The investigator may be interested in (a) conditi...

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Bibliographic Details
Main Authors: Gang Chen, Srikanth Padmala, Yi Chen, Paul A. Taylor, Robert W. Cox, Luiz Pessoa
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920309812

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