The DOI matches its Crossref record; 147 of the 147 references it cites were found in a registry or an index.
Cognition in action: imaging brain/body dynamics in mobile humans
Open accessAbstract
We have recently developed a mobile brain imaging method (MoBI), that allows for simultaneous recording of brain and body dynamics of humans actively behaving in and interacting with their environment. A mobile imaging approach was needed to study cognitive processes that are inherently based on the use of human physical structure to obtain behavioral goals. This review gives examples of the tight coupling between human physical structure with cognitive processing and the role of supraspinal activity during control of human stance and locomotion. Existing brain imaging methods for actively behaving participants are described and new sensor technology allowing for mobile recordings of different behavioral states in humans is introduced. Finally, we review recent work demonstrating the feasibility of a MoBI system that was developed at the Swartz Center for Computational Neuroscience at the University of California, San Diego, demonstrating the range of behavior that can be investigated with this method.
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Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
Self-citationUpdating P300: An integrative theory of P3a and P3b
Polich, J. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.04.019 · Cited by 7,919
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
Six views of embodied cognition
Wilson, M. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196322 · Cited by 4,782
Evoked-potential correlates of stimulus uncertainty
Sutton, S., Braren, M., Zubin, J., & John, E. R. (1965) · Science · doi:10.1126/science.150.3700.1187 · Cited by 3,061
Attention and the control of posture and gait: a review of an emerging area of research
Woollacott, M., & Shumway-Cook, A. (2002) · Gait & Posture · doi:10.1016/s0966-6362(01)00156-4 · Cited by 2,690
Central programming of postural movements: adaptation to altered support-surface configurations
Horak, F. B., & Nashner, L. M. (1986) · Journal of Neurophysiology · doi:10.1152/jn.1986.55.6.1369 · Cited by 2,435
Sensorimotor Integration in Human Postural Control
Peterka, R. J. (2002) · Journal of Neurophysiology · doi:10.1152/jn.2002.88.3.1097 · Cited by 2,393
Increased Cortical Representation of the Fingers of the Left Hand in String Players
Elbert, T., Pantev, C., Wienbruch, C., Rockstroh, B., & Taub, E. (1995) · Science · doi:10.1126/science.270.5234.305 · Cited by 2,054
The P300 wave of the human event-related potential
Picton, T. W. (1992) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199210000-00002 · Cited by 1,908
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Where's the action? The pragmatic turn in cognitive science
Engel, A. K., Maye, A., Kurthen, M., & König, P. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.03.006 · Cited by 441
Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear
Debener, S., Emkes, R., De Vos, M., & Bleichner, M. (2015) · Scientific Reports · doi:10.1038/srep16743 · Cited by 382
Ayaz, H., Onaral, B., Izzetoglu, K., Shewokis, P. A., McKendrick, R., & Parasuraman, R. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00871 · Cited by 288
Klug, M., & Gramann, K. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.14992 · Cited by 268
Self-citationGramann, K., Onton, J., Riccobon, D., Mueller, H. J., Bardins, S., & Makeig, S. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21369 · Cited by 172
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Metadata
- Authors
- Gramann, K., Gwin, J. T., Ferris, D. P., Oie, K., Jung, T.-P., Lin, C.-T., Liao, L.-D., & Makeig, S.
- Venue
- Reviews in the Neurosciences
- Publisher
- Walter de Gruyter GmbH
- Published
- 2011-01-01
- Volume
- 22
- Issue
- 6
- Pages
- 593-608
- ISSN
- 0334-1763 (ISSN-L)
- 2191-0200
- OpenAlex
- W2047616288
- Cited by
- 302
- References
- 147
- FWCI
- 5.13
- Type
- journal article
- Language
- en
- Open access
- green
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- Gramann, K., Gwin, J. T., Ferris, D. P., Oie, K., Jung, T.-P., Lin, C.-T., Liao, L.-D., & Makeig, S. (2011). Cognition in action: imaging brain/body dynamics in mobile humans. Reviews in the Neurosciences. https://doi.org/10.1515/rns.2011.047
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