- About this Journal ·
- Abstracting and Indexing ·
- Aims and Scope ·
- Article Processing Charges ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Recently Accepted Articles ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
Computational Intelligence and Neuroscience
Volume 2011 (2011), Article ID 674605, 8 pages
TopoToolbox: Using Sensor Topography to Calculate Psychologically Meaningful Measures from Event-Related EEG/MEG
1Department of Psychology, New York University, 6 Washington Place Suite 275, New York, NY 10003, USA
2Department of Psychology, University of California, San Diego, La Jolla, CA 92093, USA
Received 2 September 2010; Revised 7 December 2010; Accepted 3 February 2011
Academic Editor: Sylvain Baillet
Copyright © 2011 Xing Tian et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- X. Tian and D. E. Huber, “Measures of spatial similarity and response magnitude in MEG and scalp EEG,” Brain Topography, vol. 20, no. 3, pp. 131–141, 2008.
- X. Tian and D. Poeppel, “Mental imagery of speech and movement implicates the dynamics of internal forward models,” Frontiers in Psychology, vol. 1, p. 66, 2010.
- A. Delorme and S. Makeig, “EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis,” Journal of Neuroscience Methods, vol. 134, no. 1, pp. 9–21, 2004.
- D. Braze, W. E. Mencl, W. Tabor et al., “Unification of sentence processing via ear and eye: an fMRI study,” Cortex, vol. 47, no. 4, pp. 416–431, 2011.
- N. Kriegeskorte, R. Goebel, and P. Bandettini, “Information-based functional brain mapping,” Proceedings of the National Academy of Sciences of the United States of America, vol. 103, no. 10, pp. 3863–3868, 2006.
- T. M. Mitchell, S. V. Shinkareva, A. Carlson et al., “Predicting human brain activity associated with the meanings of nouns,” Science, vol. 320, no. 5880, pp. 1191–1195, 2008.
- K. A. Norman, S. M. Polyn, G. J. Detre, and J. V. Haxby, “Beyond mind-reading: multi-voxel pattern analysis of fMRI data,” Trends in Cognitive Sciences, vol. 10, no. 9, pp. 424–430, 2006.
- S. M. Polyn, V. S. Natu, J. D. Cohen, and K. A. Norman, “Neuroscience: category-specific cortical activity precedes retrieval during memory search,” Science, vol. 310, no. 5756, pp. 1963–1966, 2005.
- D. Lehmann and W. Skrandies, “Reference-free identification of components of checkerboard-evoked multichannel potential fields,” Electroencephalography and Clinical Neurophysiology, vol. 48, no. 6, pp. 609–621, 1980.
- I. Kondakor, R. D. Pascual-Marqui, C. M. Michel, and D. Lehmann, “Event-related potential map differences depend on the prestimulus microstates,” Journal of Medical Engineering & Technology, vol. 19, no. 2-3, pp. 66–69, 1995.
- C. Michel, T. Koenig, D. Brandeis, L. Gianotti, and J. Wackermann, Electrical Neuroimaging, Cambridge University Press, Cambridge, UK, 2009.
- W. K. Strik, A. J. Fallgatter, D. Brandeis, and R. D. Pascual-Marqui, “Three-dimensional tomography of event-related potentials during response inhibition: evidence for phasic frontal lobe activation,” Electroencephalography and Clinical Neurophysiology, vol. 108, no. 4, pp. 406–413, 1998.
- S. Makeig, T. P. Jung, A. J. Bell, D. Ghahremani, and T. J. Sejnowski, “Blind separation of auditory event-related brain responses into independent components,” Proceedings of the National Academy of Sciences of the United States of America, vol. 94, no. 20, pp. 10979–10984, 1997.
- J. Onton, M. Westerfield, J. Townsend, and S. Makeig, “Imaging human EEG dynamics using independent component analysis,” Neuroscience & Biobehavioral Reviews, vol. 30, no. 6, pp. 808–822, 2006.
- N. Kriegeskorte, W. K. Simmons, P. S. Bellgowan, and C. I. Baker, “Circular analysis in systems neuroscience: the dangers of double dipping,” Nature Neuroscience, vol. 12, no. 5, pp. 535–540, 2009.
- E. Vul, C. Harris, P. Winkielman, and H. Pashler, “Puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition,” Perspectives on Psychological Science, vol. 4, no. 3, p. 274, 2009.
- M. M. Murray, D. Brunet, and C. M. Michel, “Topographic ERP analyses: a step-by-step tutorial review,” Brain Topography, vol. 20, no. 4, pp. 249–264, 2008.
- L. Liu and A. A. Ioannides, “A correlation study of averaged and single trial MEG signals: the average describes multiple histories each in a different set of single trials,” Brain Topography, vol. 8, no. 4, pp. 385–396, 1996.
- P. Hansen, M. Kringelbach, and R. Salmelin, Eds., Meg: An Introduction to Methods, Oxford University Press, Oxford, UK, 2010.
- S. Makeig, A. Bell, T. Jung, and T. Sejnowski, “Independent component analysis of electroencephalographic data,” Advances in Neural Information Processing Systems, vol. 8, pp. 145–151, 1996.
- T. P. Jung, S. Makeig, C. Humphries et al., “Removing electroencephalographic artifacts by blind source separation,” Psychophysiology, vol. 37, no. 2, pp. 163–178, 2000.
- R. D. Pascual-Marqui, C. M. Michel, and D. Lehmann, “Segmentation of brain electrical activity into microstates: model estimation and validation,” IEEE Transactions on Biomedical Engineering, vol. 42, no. 7, pp. 658–665, 1995.
- L. F. H. Basile, E. P. Brunetti, J. F. Pereira et al., “Complex slow potential generators in a simplified attention paradigm,” International Journal of Psychophysiology, vol. 61, no. 2, pp. 149–157, 2006.
- P. L. Nunez and R. Srinivasan, Electric Fields of the Brain: The Neurophysics of EEG, Oxford University Press, New York, NY, USA, 2006.
- E. J. Davelaar, X. Tian, D. E. Huber, and C. T. Weidemann, “A habituation account of change detection in same/different judgments,” submitted.
- D. E. Huber, X. Tian, T. Curran, R. C. O'Reilly, and B. Woroch, “The dynamics of integration and separation: ERP, MEG, and neural network studies of immediate repetition effects,” Journal of Experimental Psychology: Human Perception and Performance, vol. 34, no. 6, pp. 1389–1416, 2008.
- D. E. Huber and R. C. O'Reilly, “Persistence and accomodation in short-term priming and other perceptual paradigms: temporal segregation through synaptic depression,” Cognitive Science, vol. 27, no. 3, pp. 403–430, 2003.
- R. Ratcliff, M. G. Philiastides, and P. Sajda, “Quality of evidence for perceptual decision making is indexed by trial-to-trial variability of the EEG,” Proceedings of the National Academy of Sciences of the United States of America, vol. 106, no. 16, pp. 6539–6544, 2009.
- R. Pascual-Marqui, “Review of methods for solving the EEG inverse problem,” International Journal of Bioelectromagnetism, vol. 1, no. 1, pp. 75–86, 1999.
- R. D. Pascual-Marqui, C. M. Michel, and D. Lehmann, “Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain,” International Journal of Psychophysiology, vol. 18, no. 1, pp. 49–65, 1994.
- D. Brandeis, H. Naylor, R. Halliday, E. Callaway, and L. Yano, “Scopolamine effects on visual information processing, attention, and event-related potential map latencies,” Psychophysiology, vol. 29, no. 3, pp. 315–336, 1992.