A Non-Parametric Approach for the Activation Detection of Block Design fMRI Simulated Data Using Self-Organizing Maps and Support Vector Machine

A Non-Parametric Approach for the Activation Detection of Block Design fMRI Simulated Data Using Self-Organizing Maps and Support Vector Machine

Functional magnetic resonance imaging (fMRI) is a popular method to probe the functional organization of the brain using hemodynamic responses. In this method, volume images of the entire brain are obtained with a very good spatial resolution and low temporal resolution. However, they always suffer...

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Bibliographic Details
Main Authors: Sheyda Bahrami, Mousa Shamsi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
classification
FMRI
non-parametric methods
self-organizing map (SOM)
support vector machine (SVM)
Online Access:http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2017;volume=7;issue=3;spage=153;epage=162;aulast=Bahrami

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