Analysis of functional networks involved in motor execution and motor imagery using combined hierarchical clustering analysis and independent component analysis

• Published in: Magnetic resonance imaging Vol. 28; no. 5; pp. 653 - 660
• Main Authors: Wang, Yuqing, Chen, Huafu, Gong, Qiyong, Shen, Shan, Gao, Qing
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.06.2010
• Subjects: Adult; Algorithms; Brain Mapping - methods; Cluster Analysis; Evoked Potentials, Motor - physiology; Female; Hierarchical clustering analysis independent component analysis; Humans; Imagination - physiology; Magnetic Resonance Imaging - methods; Male; Motor Cortex - physiology; Motor execution; Motor imagery; Movement - physiology; Pattern Recognition, Automated - methods; Principal Component Analysis; Radiology; Task Performance and Analysis; Young Adult; Motor execution; Hierarchical clustering analysis independent component analysis; Motor imagery

Cognitive experiments involving motor execution (ME) and motor imagery (MI) have been intensively studied using functional magnetic resonance imaging (fMRI). However, the functional networks of a multitask paradigm which include ME and MI were not widely explored. In this article, we aimed to invest...