Validating the independent components of neuroimaging time series via clustering and visualization

NeuroImage

Volumn 22, Issue 3, 2004, Pages 1214-1222

  Himberg, Johan ^a   Hyvärinen, Aapo ^b   Esposito, Fabrizio ^c  

^a AALTO UNIVERSITY   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

^c UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Clustering; Neuroimaging time series; Visualization

Indexed keywords

ALGORITHM; ARTICLE; CLUSTER ANALYSIS; COMPUTER PROGRAM; EXPERIMENTAL TEST; IMAGE ANALYSIS; IMAGING SYSTEM; MAGNETOENCEPHALOGRAPHY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHENOMENOLOGY; PRIORITY JOURNAL; RELIABILITY; SAMPLING; SIGNAL TRANSDUCTION; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; STRUCTURE ANALYSIS; TISSUE CULTURE; VALIDATION PROCESS;

ALGORITHMS; BRAIN; CLUSTER ANALYSIS; DATA INTERPRETATION, STATISTICAL; FINGERS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MAGNETOENCEPHALOGRAPHY; MODELS, NEUROLOGICAL; MOTOR ACTIVITY; SOFTWARE;

EID: 3042594840     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2004.03.027     Document Type: Article

References (31)

1. Amari S.-I., Cichocki A., Yang H. A new learning algorithm for blind source separation. Adv. Neural Inf. Process. Syst. vol. 8:1996;757-763 MIT Press, Cambridge, MA
2. Bandyopadhay S., Maulik U. Nonparametric genetic clustering: comparison of validity indices. IEEE Trans. Syst. Man Cybern., Part C Appl. Rev. 31(1):2001;120-125
3. Bell A., Sejnowski T. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 7:1995;1129-1159
4. Bezdek J., Pal N. Some new indexes of cluster validity. IEEE Trans. Syst. Man Cybern., Part B, Cybern. 28:1998;301-315
5. Calhoun V., Adali T., Pearlson G. Independent components analysis applied to fMRI data: a generative model for validating results. Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP'98), Falmouth, Massachusetts:2001
6. Calhoun V., Adali T., Pearlson G., Pekar J. Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms. Hum. Brain Mapp. 13:2001;43-53
7. Demartines P., Hérault J. Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets. IEEE Trans. Neural Netw. 8(1):1997;148-154
8. Duann J.-R., Jung T.-P., Sejnowski T., Makeig S. What is consistent in ICA analysis of fMRI data? Stability assessment by repeated decomposition. Int. Symposium on Independent Component Analysis and Blind Signal Separation. 2003;289-294. Nara, Japan
9. Efron B., Tibshirani R. An Introduction to the Bootstrap. 1993;Chapman & Hall, New York
10. Esposito F., Seifritz E., Formisano E., Morrone R., Scarabino T., Tedeschi G., Cirillo S., Goebel R., Di Salle F. Real-time independent component analysis of functional MRI time-series. NeuroImage. 20(4):2003;2209-2224
11. Everitt B. Cluster Analysis. third ed. 1993;Edward Arnold, London
12. Formisano E., Esposito F., Kriegeskorte N., Tedeschi G., Salle F.D., Goebel R. Spatial independent component analysis of functional magnetic resonance imaging time-series: characterization of the cortical components. Neurocomputing. 49(1-4):2002;241-254
13. Gordon A. A review of hierarchical classification. J. R. Stat. Soc., A. 150(2):1987;119-137
14. Himberg J., Hyvärinen A. Icasso: software for investigating the reliability of ICA estimates by clustering and visualization. Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP2003). 2003;259-268 IEEE Press, Toulouse, France
15. Hyvärinen A. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. Neural Netw. 10(3):1999;626-634
16. Hyvärinen A., Oja E. Independent component analysis: algorithms and applications. Neural Netw. 13(4-5):2000;411-430
17. Hyvärinen A., Hoyer P.O., Inki M. Topographic independent component analysis. Neural Comput. 13(7):2001;1527-1558
18. Hyvärinen A., Karhunen J., Oja E. Independent Component Analysis. 2001;Wiley, New York
19. Levine E., Domany E. Resampling method for unsupervised estimation of cluster validity. Neural Comput. 13(11):2001;2573-2593
20. Makeig S., Jung T.-P., Bell A.J., Ghahramani D., Sejnowski T. Blind separation of auditory event-related brain responses into independent components. Proc. Natl. Acad. Sci. U. S. A. 94:1997;10979-10984
21. Maulik U., Bandyopadhay S. Performance evaluation of some clustering algorithms and validity indices. IEEE Trans. on Pattern Analysis and Machine Intelligence. 24(12):2002;1650-1654
22. McKeown M., Makeig S., Brown S., Jung T.-P., Kindermann S., Bell A., Iragui V., Sejnowski T. Blind separation of functional magnetic resonance imaging (fMRI) data. Hum. Brain Mapp. 6(5-6):1998;368-372
23. Meinecke F., Ziehe A., Kawanabe M., Müller K.-R. A resampling approach to estimate the stability of one-dimensional or multidimensional independent components. IEEE Trans. Biomed. Eng. 49(12):2002;1514-1525
24. Nikkilä J., Törönen P., Kaski S., Venna J., Castrén E., Wong G. Analysis and visualization of gene expression data using self-organizing maps. Neural Netw. 15:2002;953-966
25. Sammon J.W. A nonlinear mapping for data structure analysis. IEEE Trans. Comput., C. 18(5):1969;401-409
26. Torgerson W. Multidimensional scaling: I. Theory and methods. Psychometrica. 17:1952;401-419
27. Venna J., Kaski S. Neighborhood preservation in nonlinear projection methods: an experimental study. Proc. Int. Conf. on Artificial Neural Networks (ICANN 2001). 2001;485-491 Springer, Vienna, Austria
28. Vesanto J., Himberg J., Alhoniemi E., Parhankangas J. SOM Toolbox for Matlab 5. Report A57. 2000;Helsinki University of Technology, Neural Networks Research Centre, Espoo, Finland
29. Vigário R., Jousmäki V., Hämäläinen M., Hari R., Oja E. Independent component analysis for identification of artifacts in magnetoencephalographic recordings. Adv. Neural Inf. Process. Syst. vol. 10:1998;229-235 MIT Press, Cambridge, MA
30. Vigário R., Särelä J., Jousmäki V., Hämäläinen M., Oja E. Independent component approach to the analysis of EEG and MEG recordings. IEEE Trans. Biomed. Eng. 47(5):2000;589-593
31. Ware C. Information Visualization: Perception for Design. 2000;Morgan Kaufmann, San Francisco