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

NeuroImage - Tập 22 - Trang 1214-1222 - 2004
Johan Himberg1, Aapo Hyvärinen2, Fabrizio Esposito3,4
1Neural Networks Research Centre, Helsinki University of Technology, Helsinki, Finland
2Department of Computer Science, Helsinki Institute for Information Technology/BRU, University of Helsinki, Helsinki Finland
3Second Division of Neurology, Second University of Naples, “Federico II”, Naples, Italy
4Department of Neurological Sciences, University of Naples Federico II, Naples, Italy

Tài liệu tham khảo

Amari, 1996, A new learning algorithm for blind source separation, vol. 8, 757 Bandyopadhay, 2001, Nonparametric genetic clustering: comparison of validity indices, IEEE Trans. Syst. Man Cybern., Part C Appl. Rev., 31, 120, 10.1109/5326.923275 Bell, 1995, An information-maximization approach to blind separation and blind deconvolution, Neural Comput., 7, 1129, 10.1162/neco.1995.7.6.1129 Bezdek, 1998, Some new indexes of cluster validity, IEEE Trans. Syst. Man Cybern., Part B, Cybern., 28, 301, 10.1109/3477.678624 Calhoun, 2001, Independent components analysis applied to fMRI data: a generative model for validating results, 10.1109/NNSP.2001.943155 Calhoun, 2001, Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms, Hum. Brain Mapp., 13, 43, 10.1002/hbm.1024 Demartines, 1997, Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets, IEEE Trans. Neural Netw., 8, 148, 10.1109/72.554199 Duann, 2003, What is consistent in ICA analysis of fMRI data? Stability assessment by repeated decomposition, 289 Efron, 1993 Esposito, 2003, Real-time independent component analysis of functional MRI time-series, NeuroImage, 20, 2209, 10.1016/j.neuroimage.2003.08.012 Everitt, 1993 Formisano, 2002, Spatial independent component analysis of functional magnetic resonance imaging time-series: characterization of the cortical components, Neurocomputing, 49, 241, 10.1016/S0925-2312(02)00517-9 Gordon, 1987, A review of hierarchical classification, J. R. Stat. Soc., A, 150, 119, 10.2307/2981629 Himberg, 2003, Icasso: software for investigating the reliability of ICA estimates by clustering and visualization, 259 Hyvärinen, 1999, Fast and robust fixed-point algorithms for independent component analysis, IEEE Trans. Neural Netw., 10, 626, 10.1109/72.761722 Hyvärinen, 2000, Independent component analysis: algorithms and applications, Neural Netw., 13, 411, 10.1016/S0893-6080(00)00026-5 Hyvärinen, 2001, Topographic independent component analysis, Neural Comput., 13, 1527, 10.1162/089976601750264992 Hyvärinen, 2001 Levine, 2001, Resampling method for unsupervised estimation of cluster validity, Neural Comput., 13, 2573, 10.1162/089976601753196030 Makeig, 1997, Blind separation of auditory event-related brain responses into independent components, 94, 10979 Maulik, 2002, Performance evaluation of some clustering algorithms and validity indices, IEEE Trans. on Pattern Analysis and Machine Intelligence, 24, 1650, 10.1109/TPAMI.2002.1114856 McKeown, 1998, Blind separation of functional magnetic resonance imaging (fMRI) data, Hum. Brain Mapp., 6, 368, 10.1002/(SICI)1097-0193(1998)6:5/6<368::AID-HBM7>3.0.CO;2-E Meinecke, 2002, A resampling approach to estimate the stability of one-dimensional or multidimensional independent components, IEEE Trans. Biomed. Eng., 49, 1514, 10.1109/TBME.2002.805480 Nikkilä, 2002, Analysis and visualization of gene expression data using self-organizing maps, Neural Netw., 15, 953, 10.1016/S0893-6080(02)00070-9 Sammon, 1969, A nonlinear mapping for data structure analysis, IEEE Trans. Comput., C, 18, 401, 10.1109/T-C.1969.222678 Torgerson, 1952, Multidimensional scaling: I. Theory and methods, Psychometrica, 17, 401, 10.1007/BF02288916 Venna, 2001, Neighborhood preservation in nonlinear projection methods: an experimental study, 485 Vesanto, 2000 Vigário, 1998, Independent component analysis for identification of artifacts in magnetoencephalographic recordings, vol. 10, 229 Vigário, 2000, Independent component approach to the analysis of EEG and MEG recordings, IEEE Trans. Biomed. Eng., 47, 589, 10.1109/10.841330 Ware, 2000