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

Magnetic Resonance Imaging

Volumn 28, Issue 5, 2010, Pages 653-660

  Wang, Yuqing ^a   Chen, Huafu ^a   Gong, Qiyong ^b   Shen, Shan ^a,c   Gao, Qing ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b SICHUAN UNIVERSITY   (China)

^c UNIVERSITY OF READING   (United Kingdom)

Author keywords

Hierarchical clustering analysis independent component analysis; Motor execution; Motor imagery

Indexed keywords

ADULT; ARTICLE; ASSOCIATION; CLINICAL EFFECTIVENESS; CLUSTER ANALYSIS; COGNITION; CONTROLLED STUDY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; MALE; MOTOR PERFORMANCE; NERVE CELL NETWORK; NORMAL HUMAN; PRIORITY JOURNAL; TASK PERFORMANCE; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BRAIN MAPPING; EVOKED MUSCLE RESPONSE; IMAGINATION; MOTOR CORTEX; MOVEMENT (PHYSIOLOGY); NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; PROCEDURES; YOUNG ADULT;

ADULT; ALGORITHMS; BRAIN MAPPING; CLUSTER ANALYSIS; EVOKED POTENTIALS, MOTOR; FEMALE; HUMANS; IMAGINATION; MAGNETIC RESONANCE IMAGING; MALE; MOTOR CORTEX; MOVEMENT; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; TASK PERFORMANCE AND ANALYSIS; YOUNG ADULT;

EID: 77952954535     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2010.02.008     Document Type: Article

References (54)

1. Brouziyne M., Molinaro C. Mental imagery combined with physical practice of approach shots for golf beginners. Percept Mot Skills 2005, 101:203-211.
2. Lotze M., Halsband U. Motor imagery. J Phys Paris 2006, 99:386-395.
3. Malouin F., Richards C.L., Doyon J., Desrosiers J., Belleville S. Training mobility tasks after stroke with combined mental and physical practice: a feasibility study. Neurorehabil. Neural Repair 2004, 18:66-75.
4. Kimberley T.J., Khandekar G., Skraba L.L., Spencer J.A., Van Gorp E.A., Walker S.R. Neural substrates for motor imagery in severe hemiparesis. Neurorehabil Neural Repair 2006, 20:268-277.
5. Roland P.E., Larsen B., Lassen N.A., Skinhj E. Supplementary motor area and other cortical areas in organization of voluntary movements in man. J Neurophysiol 1980, 43:118-136.
6. Decety J., Perani D., Jeannerod M., Bettinardi V., Tadary B., Woods R., et al. Mapping motor representations with positron emission tomography. Nature 1994, 371:600-602.
7. Lotze M., Montoya P., Erb M., Hulsmann E., Flor H., Klose U., et al. Activation of cortical and cerebellar motor areas during executed and imagined hand movements: an fMRI study. J Cogn Neurosci 1999, 11:491-501.
8. Solodkin A., Hlustik P., Chen E.E., Small S.L. Fine modulation in network activation during motor execution and motor imagery. Cereb Cortex 2004, 14:1246-1255.
9. Dechent P., Merboldt K., Frahm J. Is the human primary motor cortex involved in motor imagery? Brain Res. Cogn Brain Res 2004, 19:138-144.
10. Neuper C., Scherer R., Grieshofer P., Pfurtscheller G. Event-related EEG characteristics during motor imagery. Int J Psychophysiol 2008, 69(3):181-182.
11. Ince N.F., Goksu F., Tewfik A.H., Arica S. Adapting subject specific motor imagery EEG patterns in space-time-frequency for a brain computer interface. Biomedical Signal Processing and Control 2009, 4(3):236-246.
12. Hanakawa T., Immisch I., Toma K., Dimyan M.A., Gelderen P.V., Hallett M. Functional properties of brain areas associated with motor execution and imagery. J Neurophysiol 2003, 89:989-1002.
13. Hanakawa T., Dimyan M.A., Hallett M. Motor planning, imagery, and execution in the distributed motor network distributed motor network: a time-course study with functional MRI. Cereb Cortex 2008, 18(12):2775-2788.
14. Hu D.W., Yan L.R., Liu Y.D., Zhou Z.T., Friston K.J., Tan C.L., et al. Unified SPM-ICA for fMRI analysis. Neuroimage 2005, 25:746-755.
15. Norman K.A., Polyn S.M., Detre G.J., Haxby J.V. Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends Cogn Sci 2006, 10(9):424-430.
16. Backfrieder W. Quantification of intensity variations in functional MR images using rotated principal component. Phys Med Biol 1996, 41:1425-1438.
17. Stone J.V. Blind source separation using temporal predictability. Neural Comput 2001, 13:1559-1574.
18. Chen H.F., Yao D.Z., Zhou Y., Chen L. Analysis of fMRI data by blind separation of data in a tiny spatial domain into independent temporal component. Brain Topogr 2003, 15:223-232.
19. Liu Y., Gao J.H., Liu H.L., Fox P.T. The temporal response of the brain after eating revealed by functional MRI. Nature 2000, 405:1058-1062.
20. Yee S.H., Gao J.H. Improved detection of time windows of brain responses in fMRI using modified temporal clustering analysis. Magn Reson Imaging 2002, 20:17-26.
21. Gao J.H., Yee S.H. Iterative temporal clustering analysis for the detection of multiple response peaks in fMRI. Magn Reson Imaging 2003, 21:51-53.
22. Zhao X., Glahn D., Tan L.H., Li N., Xiong J., Gao J.H. Comparison of TCA and ICA Techniques in fMRI Data Processing. J Magn Reson Imaging 2004, 19(4):397-402.
23. Hanson S.J., Rebecchi D., Hanson C., Halchenko Y. Dense mode clustering in brain maps. Magn Reson Imaging 2007, 25(9):1249-1262.
24. Esposito F., Scarabino T., Hyvarinen A., Himberg J., Formisano E., Comani S., et al. Independent component analysis of fMRI group studies by self-organizing clustering. Neuroimage 2005, 25:193-205.
25. Calhoun V.D., Adali T., Pearlson G.D., Pekar J.J. A method for making group Inferences from functional MRI data using independent component analysis. Hum Brain Mapp 2001, 14:140-151.
26. Sui J., Adali T., Pearlson G.D., Calhoun V.D. An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques. Neuroimage 2009, 46:73-86.
27. Heuvel M., Mandl R., Pol H.H. Normalized cut group clustering of resting-state fMRI data. Plos ONE 2008, 3(4):e2001.
28. Martino F., Gentile F., Esposito F., Balsi M., Di-Salle F., Goebel R., et al. Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers. Neuroimage 2007, 34:177-194.
29. Cordes D., Haughton V., Carew J.D., Arfanakis K., Maravilla K. Hierarchical clustering to measure connectivity in fMRI resting state data. Magn Reson Imaging 2002, 20:305-317.
30. Salvador R., Suckling J., Coleman M.R., Pickard J.D., Menon D., Bullmore E. Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb Cortex 2005, 15:1332-1342.
31. Chen H., Yuan H., Yao D., Chen L., Chen W. An integrated neighborhood correlation and hierarchical clustering approach of functional MRI. IEEE Trans Biomed Eng 2006, 53(3):452-458.
32. Liao W., Chen H., Yang Q., Lei X. Analysis of fMRI data using improved self-organizing mapping and spatio-temporal metric hierarchical clustering. IEEE Trans Medical Imaging 2008, 27(10):1472-1483.
33. Chen H., Yang Q., Liao W., Gong Q., Shen S. Connectivity exploration with Granger causality mapping: an fMRI study of motor imagery. Neuroimage 2009, 47:1844-1853.
34. Liao W., Marinazzo D., Pan Z., Gong Q., Chen H. Kernel granger causality mapping effective connectivity on fMRI data. IEEE Trans Med Imaging 2009, 28(11):1825-1835.
35. Amari S., Cichocki A., Yang H. A new learning algorithm for blind source separation. Advances in Neural Information Processing 8 (Proc. NIPS'95) 1996, MIT Press, Cambridge, MA.
36. Benjamini Y., Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B 1995, 57:289-300.
37. Benjamini Y., Yekutieli D. The control of the false discovery rate in multiple testing under independence. Ann Stat 2001, 29:1165-1188.
38. Hartigan J. Clustering algorithms 1975, Wiley, New York.
39. Everitt B. Cluster analysis 1993, John Wiley & Sons, Inc, New York.
40. Raichle M.E., MacLeod A.M., Snyder A.Z., Powers W.J., Gusnard D.A., Shulman G.L. A default mode of brain function. Proc Natl Acad Sci U S A 2001, 98(2):676-682.
41. Greicius M.D., Krasnow B., Reiss A.L., Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci U S A 2003, 100(1):253-258.
42. Fox M.D., Raichle M.E. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 2007, 8:700-711.
43. Cox D.D., Savoy R.L. Functional magnetic resonance imaging (fMRI) 'brain reading': detecting and classifying distributed patterns of fMRI activity in human visual cortex. Neuroimage 2003, 19:261-270.
44. Kiviniemi V., Kantola J.H., Jauhiainen J., Hyvarinen A., Tervonen O. Independent component analysis of nondeterministic fMRI signal sources. Neuroimage 2003, 19:253-260.
45. van de Ven V.G., Formisano E., Prvulovic D., Roeder C.H., Linden D.E. Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest. Hum Brain Mapp 2004, 22:165-178.
46. Ylipaavalniemi J., Vigario R. Analyzing consistency of independent components: an fMRI illustration. Neuroimage 2008, 39:169-180.
47. Greicius M.D., Flores B.H., Menon V., Glover G.H., Solvason H.B., Kenna H., et al. Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus. Biol Psychiatry 2007, 5(62):429-437.
48. Beckmann C.F., De Luca M., Devlin J.T., Smith S.M. Investigations into resting-state connectivity using independent component analysis. Phil Trans R Soc B 2005, 360:1001-1013.
49. Damoiseaux J.S., Rombouts S.A.R.B., Barkhof F., Scheltens P., Stam C.J., Smith S.M., et al. Consistent resting-state networks across healthy subjects. Proc Natl Acad Sci U S A 2006, 103(37):13848-13853.
50. Biswal B., Yetkin F., Haughton V.M., Hyde J. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med 1995, 34:537-541.
51. Lowe M.J., Mock B.J., Sorenson J.A. Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations. Neuroimage 1998, 7:119-132.
52. Nir Y., Hasson U., Levy I., Yeshurun Y., Malach R. Widespread functional connectivity and fMRI fluctuations in human cortex in the absence of visual stimulation. Neuroimage 2006, 30:1313-1324.
53. Wang K., Jiang T., Yu C., Tian L., Li J., Liu Y., et al. Spontaneous activity associated with primary visual cortex: a resting-state fMRI study. Cereb Cortex 2008, 18:697-704.
54. Treserras S., Boulanouar K., Conchou F., Simonetta-Moreau M., Berry I., Celsis P., et al. Transition from rest to movement: brain correlates revealed by functional connectivity. Neuroimage 2009, 48(1):207-216.