An Optimal ICA Algorithm Applied to fMRI DATA

Author(s):  
Xian-Chuan Yu ◽  
Jia-Mian Ren ◽  
Nan Zhang ◽  
Guo-Sheng Ding
Keyword(s):  
2013 ◽  
Vol 5 (20) ◽  
pp. 4862-4868
Author(s):  
Amir A. Khaliq ◽  
I.M. Qureshi ◽  
Suheel A Malik ◽  
Jawad A. Shah

Author(s):  
A.S. Lukic ◽  
M.N. Wernick ◽  
L.K. Hansen ◽  
J. Anderson ◽  
S.C. Strother
Keyword(s):  

2007 ◽  
Vol 2007 ◽  
pp. 1-12 ◽  
Author(s):  
Yi-Ou Li ◽  
Tülay Adali ◽  
Vince D. Calhoun

In this work, we propose a simple and effective scheme to incorporate prior knowledge about the sources of interest (SOIs) in independent component analysis (ICA) and apply the method to estimate brain activations from functional magnetic resonance imaging (fMRI) data. We name the proposed method as feature-selective ICA since it incorporates the features in the sample space of the independent components during ICA estimation. The feature-selective scheme is achieved through a filtering operation in the source sample space followed by a projection onto the demixing vector space by a least squares projection in an iterative ICA process. We perform ICA estimation of artificial activations superimposed into a resting state fMRI dataset to show that the feature-selective scheme improves the detection of injected activation from the independent component estimated by ICA. We also compare the task-related sources estimated from true fMRI data by a feature-selective ICA algorithm versus an ICA algorithm and show evidence that the feature-selective scheme helps improve the estimation of the sources in both spatial activation patterns and the time courses.


2003 ◽  
Vol 14 (3) ◽  
pp. 181-190 ◽  
Author(s):  
Walter Sturm

Abstract: Behavioral and PET/fMRI-data are presented to delineate the functional networks subserving alertness, sustained attention, and vigilance as different aspects of attention intensity. The data suggest that a mostly right-hemisphere frontal, parietal, thalamic, and brainstem network plays an important role in the regulation of attention intensity, irrespective of stimulus modality. Under conditions of phasic alertness there is less right frontal activation reflecting a diminished need for top-down regulation with phasic extrinsic stimulation. Furthermore, a high overlap between the functional networks for alerting and spatial orienting of attention is demonstrated. These findings support the hypothesis of a co-activation of the posterior attention system involved in spatial orienting by the anterior alerting network. Possible implications of these findings for the therapy of neglect are proposed.


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