Classification and Extraction of Resting State Networks Using Healthy and Epilepsy fMRI Data

Classification and Extraction of Resting State Networks Using Healthy and Epilepsy fMRI Data

Functional magnetic resonance imaging studies have significantly expanded the field’s understanding of functional brain activity of healthy and patient populations. Resting state (rs-) fMRI, which does not require subjects to perform a task, eliminating confounds of task difficulty, allows examinati...

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Bibliographic Details
Main Authors: Svyatoslav Vergun, Wolfgang Gaggl, Veena A Nair, Joshua Suhonen, Rasmus Birn, Azam Ahmed, M Elizabeth Meyerand, James Reuss, Edgar A DeYoe, Vivek Prabhakaran
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-09-01
Series:Frontiers in Neuroscience
Subjects:
Classification
machine learning
Independent Component Analysis
resting state fMRI
resting state networks
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00440/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00440/full

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