Unraveling spatio-temporal dynamics in fMRI recordings using complex ICA

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3195, Issue , 2004, Pages 1103-1110

  Anemüller, Jörn ^a,b   Duann, Jeng Ren ^a,b   Sejnowski, Terrence J ^a,b   Makeig, Scott ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b HOWARD HUGHES MEDICAL INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVATION ANALYSIS; BLIND SOURCE SEPARATION; BLOOD; BLOOD VESSELS; FREQUENCY BANDS; HEMODYNAMICS; MAGNETIC RESONANCE IMAGING;

CONVOLUTIVE ICA; FREQUENCY DOMAINS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INDEPENDENT COMPONENT ANALYSIS(ICA); INSTANTANEOUS MIXING; OXYGENATED BLOOD; PRIMARY VISUAL CORTEX; SPATIO-TEMPORAL DYNAMICS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 35048888990     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_139     Document Type: Article

References (8)

1. M. J. McKeown, T.-P. Jung, S. Makeig, G. Brown, S. S. Kindermann, T. W. Lee, and T. J. Sejnowski. Spatially independent activity patterns in functional MRI data during the Stroop color-naming task. Proc. Natl. Acad. Sci. U. S. A., 95:803-810, 1998.
2. J. Anemüller, T. J. Sejnowski, and S. Makeig. Complex independent component analysis of frequency-domain electroencephalographic data. Neural Networks, 16:1311-1323, 2003.
3. J. Anemüller and B. Kollmeier. Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach. Speech Communication, 39(1-2):79-95, Jan 2003.
4. A. J. Bell and T. J. Sejnowski. An information maximization approach to blind separation and blind deconvolution. Neural Computation, 7:1129-1159, 1995.
5. S. Amari, A. Cichocki, and H. H. Yang. A new learning algorithm for blind signal separation. In D. Touretzky, M. Mozer, and M. Hasselmo, editors, Advances in Neural Information Processing Systems 8, pages 757-763, Cambridge, MA, 1996. MIT Press.
6. Jeng-Ren Duann, Tzyy-Ping Jung, Wen-Jui Kuo, Tzu-Chen Yeh, Scott Makeig, Jen-Chuen Hsieh, and Terrence J. Sejnowski. Single-trial variability in event-related BOLD signals. NeuroImage, 15:823-835, 2002.
7. J.-R. Duann, T.-P. Jung, and S. Makeig. FMRLAB: Matlab software for independent component analysis of fMRI data. World Wide Web publication, 2003. http://sccn.ucsd.edu/fmrlab.
8. R. M. Siegel, J. R. Duann, T. P. Jung, and T. J. Sejnowski. Independent component analysis of intrinsic optical signals for gain fields in inferior parietal cortex of behaving monkey. In Society for Neuroscience Abstracts 28, 2002.