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Proceedings Paper

Detecting brain activations by constrained non-negative matrix factorization from task-related BOLD fMRI
Author(s): Xiaoxiang Wang; Jie Tian; Xingfeng Li; Jianping Dai; Lin Ai
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Paper Abstract

Non-negative Matrix Factorization (NMF) has previously been shown to be a useful decomposition for multivariate data. In this paper, we introduce this new technique to the field of fMRI data analysis. In order to make the representation suitable for task-related brain activation detection, we imposed some additional constraints, and defined an improved contrast function. We deduced the update rules and proved the convergence of the algorithm. In the procedure, the number of factors was determined by visual assessment. We studied 8 healthy right-handed adult volunteers by a 3.0T GE Signa scanner. A block design motor paradigm (bilateral finger tapping) stimulated the blood oxygenation level-dependent (BOLD) response. Gradient Echo EPI sequence was utilized to acquire BOLD contrast functional images. With this constrained NMF (cNMF) we could obtain major activation components and the corresponding time courses, which showed high correlation with the reference function (r>0.7). The results showed that our method would be feasible for detection brain activations from task-related fMRI series.

Paper Details

Date Published: 30 April 2004
PDF: 8 pages
Proc. SPIE 5369, Medical Imaging 2004: Physiology, Function, and Structure from Medical Images, (30 April 2004); doi: 10.1117/12.536186
Show Author Affiliations
Xiaoxiang Wang, Institute of Automation (China)
Jie Tian, Institute of Automation (China)
Xingfeng Li, Institute of Automation (China)
Jianping Dai, Chinese Capital Univ. of Medical Sciences (China)
Lin Ai, Chinese Capital Univ. of Medical Sciences (China)


Published in SPIE Proceedings Vol. 5369:
Medical Imaging 2004: Physiology, Function, and Structure from Medical Images
Amir A. Amini; Armando Manduca, Editor(s)

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