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Combining self-organizing mapping and supervised affinity propagation clustering approach to investigate functional brain networks involved in motor imagery and execution with fMRI measurements
Zhang J.1; Liu Q.1; Chen H.2; Yuan Z.5; Huang J.2; Deng L.1; Lu F.5; Zhang J.1; Wang Y.3; Wang M.4; Chen L.1
2015-07-17
Source PublicationFrontiers in Human Neuroscience
ISSN16625161 16625161
Volume9Issue:JULY
Abstract

Clustering 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, called SOM-SAPC that combines self-organizing mapping (SOM) and supervised affinity propagation clustering (SAPC), is proposed and implemented to identify the motor execution (ME) and motor imagery (MI) networks. In SOM-SAPC, SOM was first performed to process fMRI data and SAPC is further utilized for clustering the patterns of functional networks. As a result, SOM-SAPC is able to significantly reduce the computational cost for brain network analysis. Simulation and clinical tests involving ME and MI were conducted based on SOM-SAPC, and the analysis results indicated that functional brain networks were clearly identified with different response patterns and reduced computational cost. In particular, three activation clusters were clearly revealed, which include parts of the visual, ME and MI functional networks. These findings validated that SOM-SAPC is an effective and robust method to analyze the fMRI data with multitasks.

KeywordAffinity Propagation Clustering Functional Magnetic Resonance Imaging Motor Execution Motor Imagery Self-organizing Mapping
DOI10.3389/fnhum.2015.00400
URLView the original
Indexed BySCI
WOS Research AreaNeurosciences & Neurology ; Psychology
WOS SubjectNeurosciences ; Psychology
WOS IDWOS:000373620700001
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Health Sciences
Affiliation1.Sichuan University
2.University of Electronic Science and Technology of China
3.National Center for Nanoscience and Technology Beijing
4.Southwest Jiaotong University
5.Universidade de Macau
Recommended Citation
GB/T 7714
Zhang J.,Liu Q.,Chen H.,et al. Combining self-organizing mapping and supervised affinity propagation clustering approach to investigate functional brain networks involved in motor imagery and execution with fMRI measurements[J]. Frontiers in Human Neuroscience,2015,9(JULY).
APA Zhang J..,Liu Q..,Chen H..,Yuan Z..,Huang J..,...&Chen L..(2015).Combining self-organizing mapping and supervised affinity propagation clustering approach to investigate functional brain networks involved in motor imagery and execution with fMRI measurements.Frontiers in Human Neuroscience,9(JULY).
MLA Zhang J.,et al."Combining self-organizing mapping and supervised affinity propagation clustering approach to investigate functional brain networks involved in motor imagery and execution with fMRI measurements".Frontiers in Human Neuroscience 9.JULY(2015).
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