title: Semi-blind independent component analysis of fMRI based on real-time fMRI system.
abstract: Real-time functional magnetic resonance imaging (fMRI) is a type of neurofeedback tool that enables researchers to train individuals to actively gain control over their brain activation. Independent component analysis (ICA) based on data-driven model is seldom used in real-time fMRI studies due to large time cost, though it has been very popular to offline analysis of fMRI data. The feasibility of performing real-time ICA (rtICA) processing has been demonstrated by previous study. However, rtICA was only applied to analyze single-slice data rather than full-brain data. In order to improve the performance of rtICA, we proposed semi-blind real-time ICA (sb-rtICA) for our real-time fMRI system by adding regularization of certain estimated time courses using the experiment paradigm information to rtICA. Both simulated and real-time fMRI experiment were conducted to compare the two approaches. Results from simulated and real full-brain fMRI data demonstrate that sb-rtICA outperforms rtICA in robustness, computational time and spatial detection power. Moreover, in contrast to rtICA, the first component estimated by sb-rtICA tends to be the target component in more sliding windows.
authors.affiliation: College of Information Science and Technology, Beijing Normal University, Beijing 100875, China. maxinyue2007@hotmail.com
authors.forename: Xinyue
authors.initials: X
authors.lastname: Ma
authors.forename: Hang
authors.initials: H
authors.lastname: Zhang
authors.forename: Xiaojie
authors.initials: X
authors.lastname: Zhao
authors.forename: Li
authors.initials: L
authors.lastname: Yao
authors.forename: Zhiying
authors.initials: Z
authors.lastname: Long
mesh_terms: D000465:Algorithms; D001931:Brain Mapping / Q000379:methods*; D003627:Data Interpretation, Statistical; D019054:Evoked Potentials, Motor / Q000502:physiology*; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D009044:Motor Cortex / Q000033:anatomy & histology / Q000502:physiology*; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D055815:Young Adult