A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging

A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging

Abstract Analysis of functional magnetic resonance imaging (fMRI) plays a pivotal role in uncovering an understanding of the brain. fMRI data contain both spatial volume and temporal signal information, which provide a depiction of brain activity. The analysis pipeline, however, is hampered by numer...

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Bibliographic Details
Main Authors: Michael de Ridder, Karsten Klein, Jinman Kim
Format: Article
Language:English
Published: SpringerOpen 2018-07-01
Series:Brain Informatics
Subjects:
Functional magnetic resonance imaging (fMRI)
Visualisation analysis
Uncertainty analysis
Uncertainty visual analytics
Functional connectivity
Issue management
Online Access:http://link.springer.com/article/10.1186/s40708-018-0083-0

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http://link.springer.com/article/10.1186/s40708-018-0083-0

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