On the Generalizability of Resting-State fMRI Machine Learning Classifiers

On the Generalizability of Resting-State fMRI Machine Learning Classifiers

Machine learning classifiers have become increasingly popular tools to generate single-subject inferences from fMRI data. With this transition from the traditional group level difference investigations to single-subject inference, the application of machine learning methods can be seen as a consider...

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Bibliographic Details
Main Authors: Wolfgang eHuf, Klaudius eKalcher, Roland N Boubela, Georg eRath, Andreas eVecsei, Peter eFilzmoser, Ewald eMoser
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-07-01
Series:Frontiers in Human Neuroscience
Subjects:
Classification
machine learning
regional homogeneity
Resting-state fMRI
Support Vector Machines
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00502/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00502/full

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