Machine learning in resting-state fMRI analysis.

Volume: 64, Pages: 101 - 121
Published: Jun 5, 2019
Abstract
Machine learning techniques have gained prominence for the analysis of resting-state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview of various unsupervised and supervised machine learning applications to rs-fMRI. We offer a methodical taxonomy of machine learning methods in resting-state fMRI. We identify three major divisions of unsupervised learning methods with regard to their applications to rs-fMRI, based...
Paper Details
Title
Machine learning in resting-state fMRI analysis.
Published Date
Jun 5, 2019
Volume
64
Pages
101 - 121
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