Combining Self-Organizing Mapping and Supervised Affinity Propagation Clustering Approach to Investigate Functional Brain Networks Involved in Motor Imagery and Execution with fMRI Measurements

Combining Self-Organizing Mapping and Supervised Affinity Propagation Clustering Approach to Investigate Functional Brain Networks Involved in Motor Imagery and Execution with fMRI Measurements

AbstractClustering analysis methods have been widely applied to identifying the functional brain networks of a multitask paradigm. However, the previously used clustering analysis techniques are computationally expensive and thus impractical for clinical applications. In this study a novel method, c...

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Bibliographic Details
Main Authors: Jiang eZhang, Qi eLiu, Huafu eChen, Zhen eYuan, Jin eHuang, Fengmei eLu, Lihua eDeng, Yuqing eWang, Junpeng eZhang, Mingwen eWang, Liangyin eChen
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-07-01
Series:Frontiers in Human Neuroscience
Subjects:
functional magnetic resonance imaging
Motor Imagery
motor execution
Affinity propagation clustering
Self-organizing mapping
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2015.00400/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnhum.2015.00400/full

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