Exploring human visual attention in an MEG study of a spatial cueing paradigm using a novel ANCOVA design

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Volumn , Issue , 2007, Pages 1096-1099

  Pantazis, Dimitrios ^a   Simpson, Gregory V ^b   Weber, Darren L ^b   Dale, Corby L ^b   Nichols, Thomas E ^c   Leahy, Richard M ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRACTOR STIMULI; LINEAR MODELING; VISUAL ATTENTION.; VISUAL CORTEX;

COMPUTER SIMULATION; CONSTRAINED OPTIMIZATION; INFORMATION RETRIEVAL SYSTEMS; NEURAL NETWORKS; VISUAL COMMUNICATION;

MAGNETOENCEPHALOGRAPHY;

EID: 36348974513     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2007.357047     Document Type: Conference Paper

References (13)

1. M. S. Worden, J. J. Foxe, N. Wang, and G. V. Simpson, "Anticipatory biasing of visuospatial attention indexed by retinotopioally specific alpha-band electroencephalography increases over occipital cortex," The Journal of Neuroscience, vol. 20, pp. RC63(1-6), 2000.
2. P. Sauseng, W. Klimesch, W. Stadler, M. Schabus, M. Doppelmayr, S. Hanslmayr, W. R. Gruber, and N. Birbaumer, "A shift of visual spatial attention is selectively associated with human EEG alpha activity," Journal of Neuroscience, vol. 22, pp. 2917-2926, 2005.
3. G. Thut, A. Nietzel, S. A. Brandt, and A. Pascual-Leone, "α-band electroencephalographic activity over occipital cortex indexes visuospatial attention bias and predicts visual target detection," J. Neuroscience, vol. 26(37), pp. 9494-9502, 2006.
4. J. B. Hopfinger, M. H. Buonocore, and G. R. Mangun, "The neural mechanisms of top-down attentional control," Nature Neuroscience, vol. 3(3), pp. 284-291, 2000.
5. M. Corbetta, J. M. Kincade, J. M. Ollinger, M. P. McAvoy, and G. L. Shulman, "Voluntary orienting is dissociated from target detection in human posterior parietal cortex," Nature Neuroscience, vol. 3(3), pp. 292-297, 2000.
6. M.X. Huang, J.C. Mosher, and R.M. Leahy, "A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG," Physics in Medicine and Biology, vol. 44(2), pp. 423-440, 1999.
7. J.C. Mosher, S. Baillet, F. Darvas, D. Pantazis, E.K. Yildirim, and R.M. Leahy, "Brainstorm electromagnetic imaging software," in International Journal of Bioelectromagnetism, 2005, vol. 7(2), pp. 189-190.
8. A. Tikhonov and V. Arsenin, Solutions of ill-posed problems, Winston and Sons., 1977.
9. M. Vetterli and J. Kovacevic, Eds., Wavelets and Subband Coding, Prentice Hall PTR; 1st edition, April 1995.
10. D. Pantazis, D.L. Weber, C.L. Dale, TE. Nichols, G.V. Simpson, and R.M. Leahy, "Imaging of oscillatory behavior in event-related meg studies," in Proceedings of SPIE, Computational Imaging III, CA. Bouman and E.L. Miller, Eds., 2005, vol. 5674, pp. 55-63.
11. D. Pantazis, T. E. Nichols, S. Baillet, and R. M. Leahy, "A comparison of random field theory and permutation methods for the statistical analysis of MEG data," Neuroimage, vol. 25(2), pp. 383-394, 2005.
12. T.E. Nichols and A. P. Holmes, "Nonparametric permutation tests for functional neuroimaging: A primer with examples," Human Brain Mapping,vol. 15, pp. 1-25, 2001.
13. C.R. Genovese, N.A. Lazar, and T. Nichols, "Thresholding of statistical maps in functional neuroimaging using the false discovery rate," NeuroImage, vol. 15, pp. 870-878, 2002.