Decoding fMRI events in sensorimotor motor network using sparse paradigm free mapping and activation likelihood estimates

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Decoding fMRI events in sensorimotor motor network using sparse paradigm free mapping and activation likelihood estimates

Most functional MRI (fMRI) studies map task-driven brain activity using a block or event-related paradigm. Sparse paradigm free mapping (SPFM) can detect the onset and spatial distribution of BOLD events in the brain without prior timing information, but relating the detected events to brain functio...

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Bibliographic Details
Main Authors:	Tan, Francisca M., Caballero-Gaudes, César, Mullinger, Karen J., Cho, Siu-Yeung, Zhang, Yaping, Dryden, Ian L., Francis, Susan T., Gowland, Penny A.
Format:	Article
Published:	Wiley 2017
Subjects:	functional MRI; decoding; meta-analysis; activation likelihood estimation; paradigm free mapping
Online Access:	https://eprints.nottingham.ac.uk/44731/

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