Analysis of functional networks involved in motor execution and motor imagery using combined hierarchical clustering analysis and independent component analysis.
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Huafu Chen | Qing Gao | Shan Shen | Yuqing Wang | Qiyong Gong | Huafu Chen | Q. Gong | S. Shen | Qing Gao | Yuqi Wang
[1] Jia-Hong Gao,et al. Comparison of TCA and ICA techniques in fMRI data processing , 2004, Journal of magnetic resonance imaging : JMRI.
[2] Stephen M. Smith,et al. Investigations into resting-state connectivity using independent component analysis , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[3] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[4] P. Roland,et al. Supplementary motor area and other cortical areas in organization of voluntary movements in man. , 1980, Journal of neurophysiology.
[5] Chunshui Yu,et al. Spontaneous activity associated with primary visual cortex: a resting-state FMRI study. , 2008, Cerebral cortex.
[6] E. Bullmore,et al. Neurophysiological architecture of functional magnetic resonance images of human brain. , 2005, Cerebral cortex.
[7] Sean M. Polyn,et al. Beyond mind-reading: multi-voxel pattern analysis of fMRI data , 2006, Trends in Cognitive Sciences.
[8] Jia-Hong Gao,et al. Iterative temporal clustering analysis for the detection of multiple response peaks in fMRI. , 2003, Magnetic resonance imaging.
[9] S. Small,et al. Fine modulation in network activation during motor execution and motor imagery. , 2004, Cerebral cortex.
[10] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[11] M. Hallett,et al. Motor planning, imagery, and execution in the distributed motor network: a time-course study with functional MRI. , 2008, Cerebral cortex.
[12] Christa Neuper,et al. Event-related EEG characteristics during motor imagery , 2008 .
[13] Brian Everitt,et al. Cluster analysis , 1974 .
[14] Peter T. Fox,et al. The temporal response of the brain after eating revealed by functional MRI , 2000, Nature.
[15] G. Glover,et al. Resting-State Functional Connectivity in Major Depression: Abnormally Increased Contributions from Subgenual Cingulate Cortex and Thalamus , 2007, Biological Psychiatry.
[16] M. Fox,et al. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.
[17] Stephen José Hanson,et al. Dense mode clustering in brain maps. , 2007, Magnetic resonance imaging.
[18] Vinod Menon,et al. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[19] David D. Cox,et al. Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex , 2003, NeuroImage.
[20] Yehezkel Yeshurun,et al. Widespread functional connectivity and fMRI fluctuations in human visual cortex in the absence of visual stimulation , 2006, NeuroImage.
[21] G L Shulman,et al. INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .
[22] Rainer Goebel,et al. Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers , 2007, NeuroImage.
[23] Ahmed H. Tewfik,et al. Adapting subject specific motor imagery EEG patterns in space-time-frequency for a brain computer interface , 2009, Biomed. Signal Process. Control..
[24] Jia-Hong Gao,et al. Improved detection of time windows of brain responses in fMRI using modified temporal clustering analysis. , 2002, Magnetic resonance imaging.
[25] J. Pekar,et al. A method for making group inferences from functional MRI data using independent component analysis , 2001, Human brain mapping.
[26] Qin Yang,et al. Analysis of fMRI Data Using Improved Self-Organizing Mapping and Spatio-Temporal Metric Hierarchical Clustering , 2008, IEEE Transactions on Medical Imaging.
[27] Julien Doyon,et al. Training Mobility Tasks after Stroke with Combined Mental and Physical Practice: A Feasibility Study , 2004, Neurorehabilitation and neural repair.
[28] M. Lowe,et al. Functional Connectivity in Single and Multislice Echoplanar Imaging Using Resting-State Fluctuations , 1998, NeuroImage.
[29] Aapo Hyvärinen,et al. Independent component analysis of nondeterministic fMRI signal sources , 2003, NeuroImage.
[30] R Baumgartner,et al. Quantification of intensity variations in functional MR images using rotated principal components. , 1996, Physics in medicine and biology.
[31] Dezhong Yao,et al. Analysis of fMRI Data by Blind Separation of Data in a Tiny Spatial Domain into Independent Temporal Component , 2004, Brain Topography.
[32] Andrzej Cichocki,et al. A New Learning Algorithm for Blind Signal Separation , 1995, NIPS.
[33] C. Molinaro,et al. Mental Imagery Combined with Physical Practice of Approach Shots for Golf Beginners , 2005, Perceptual and motor skills.
[34] Dietmar Cordes,et al. Hierarchical clustering to measure connectivity in fMRI resting-state data. , 2002, Magnetic resonance imaging.
[35] R. Edelman,et al. Magnetic resonance imaging (2) , 1993, The New England journal of medicine.
[36] John A. Hartigan,et al. Clustering Algorithms , 1975 .
[37] Jarkko Ylipaavalniemi,et al. Analyzing consistency of independent components: An fMRI illustration , 2008, NeuroImage.
[38] M. Hallett,et al. Functional properties of brain areas associated with motor execution and imagery. , 2003, Journal of neurophysiology.
[39] E. Formisano,et al. Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest , 2004, Human brain mapping.
[40] M. P. van den Heuvel,et al. Normalized Cut Group Clustering of Resting-State fMRI Data , 2008, PloS one.
[41] François Chollet,et al. Transition from rest to movement: Brain correlates revealed by functional connectivity , 2009, NeuroImage.
[42] M. Erb,et al. Activation of Cortical and Cerebellar Motor Areas during Executed and Imagined Hand Movements: An fMRI Study , 1999, Journal of Cognitive Neuroscience.
[43] S. Rombouts,et al. Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.
[44] Y. Benjamini,et al. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY , 2001 .
[45] J. Mazziotta,et al. Mapping motor representations with positron emission tomography , 1994, Nature.
[46] Aapo Hyvärinen,et al. Independent component analysis of fMRI group studies by self-organizing clustering , 2005, NeuroImage.
[47] Qin Yang,et al. Evaluation of the effective connectivity of supplementary motor areas during motor imagery using Granger causality mapping , 2009, NeuroImage.
[48] James V. Stone. Blind Source Separation Using Temporal Predictability , 2001, Neural Computation.
[49] Lin Chen,et al. An integrated neighborhood correlation and hierarchical clustering approach of functional MRI , 2006, IEEE Transactions on Biomedical Engineering.
[50] P. Dechent,et al. Is the human primary motor cortex involved in motor imagery? , 2004, Brain research. Cognitive brain research.
[51] Karl J. Friston,et al. Unified SPM–ICA for fMRI analysis , 2005, NeuroImage.
[52] T. Kimberley,et al. Neural Substrates for Motor Imagery in Severe Hemiparesis , 2006, Neurorehabilitation and neural repair.
[53] Vince D. Calhoun,et al. An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques , 2009, NeuroImage.
[54] Wei Liao,et al. Kernel Granger Causality Mapping Effective Connectivity on fMRI Data , 2009, IEEE Transactions on Medical Imaging.