The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Prestimulus alpha and mu activity predicts failure to inhibit motor responses
Open accessAbstract
Do certain brain states predispose humans to commit errors in monotonous tasks? We used MEG to investigate how oscillatory brain activity indexes the brain state in subjects performing a Go‐noGo task. Elevated occipital alpha and sensorimotor mu activity just prior to the presentation of the stimuli predicted an upcoming error. An error resulted in increased frontal theta activity and decreased posterior alpha activity. This theta increase and alpha decrease correlated on a trial‐by‐trial basis reflecting post‐error functional connectivity between the frontal and occipital regions. By examining the state of the brain before a stimulus, we were able to show that it is possible to predict lapses of attention before they actually occur. This supports the case that the state of the brain is important for how incoming stimuli are processed and for how subjects respond. Hum Brain Mapp, 2009. © 2009 Wiley‐Liss, Inc.
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Cites
Nonparametric statistical testing of EEG- and MEG-data
Maris, E., & Oostenveld, R. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.024 · Cited by 8,496
Psychophysiological and Modulatory Interactions in Neuroimaging
Friston, K. J., Buechel, C., Fink, G. R., Morris, J., Rolls, E., & Dolan, R. J. (1997) · NeuroImage · doi:10.1006/nimg.1997.0291 · Cited by 3,097
The neural bases of momentary lapses in attention
Weissman, D. H., Roberts, K. C., Visscher, K. M., & Woldorff, M. G. (2006) · Nature Neuroscience · doi:10.1038/nn1727 · Cited by 1,566
ERP components on reaction errors and their functional significance: A tutorial
Falkenstein, M., Hoormann, J., Christ, S., & Hohnsbein, J. (2000) · Biological Psychology · doi:10.1016/s0301-0511(99)00031-9 · Cited by 1,442 · cited 9×
“The theta activity was localized to the frontal regions of the cortex such as left superior frontal gyrus, left superior medial gyrus, and right middle frontal gyrus which overlaps with areas found in a EEG-fMRI study localizing the ERN [Debener et al., 2005].”
BackgroundMethodInfluentialRubia, K., Russell, T., Overmeyer, S., Brammer, M. J., Bullmore, E. T., Sharma, T., Simmons, A., Williams, S. C. R., Giampietro, V., Andrew, C. M., et al. (2001) · NeuroImage · doi:10.1006/nimg.2000.0685 · Cited by 999
Frontal theta EEG activity correlates negatively with the default mode network in resting state
Scheeringa, R., Bastiaansen, M. C. M., Petersson, K. M., Oostenveld, R., Norris, D. G., & Hagoort, P. (2008) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2007.05.017 · Cited by 400
Functional connectivity of frontal cortex in healthy and ADHD children reflected in EEG coherence
Murias, M., Swanson, J. M., & Srinivasan, R. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl089 · Cited by 190
Cited by
Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition
Jensen, O., & Mazaheri, A. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00186 · Cited by 3,237
Self-citationSpectral fingerprints of large-scale neuronal interactions
Siegel, M., Donner, T. H., & Engel, A. K. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3137 · Cited by 1,295
Temporal dynamics of spontaneous MEG activity in brain networks
de Pasquale, F., Della Penna, S., Snyder, A. Z., Lewis, C., Mantini, D., Marzetti, L., Belardinelli, P., Ciancetta, L., Pizzella, V., Romani, G. L., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913863107 · Cited by 698
Criaud, M., & Boulinguez, P. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.11.003 · Cited by 368
The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology
Blankertz, B., Tangermann, M., Vidaurre, C., Fazli, S., Sannelli, C., Haufe, S., Maeder, C., Ramsey, L., Sturm, I., Curio, G., et al. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00198 · Cited by 357
Metadata
- Authors
- Mazaheri, A., Nieuwenhuis, I. L. C., van Dijk, H., & Jensen, O.
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2009-03-23
- Volume
- 30
- Issue
- 6
- Pages
- 1791-1800
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- OpenAlex
- W2148173290
- Cited by
- 262
- References
- 7
- FWCI
- 8.68
- Type
- journal article
- Language
- en
- Open access
- green
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