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Event-related synchronization (ERS) in the alpha band — an electrophysiological correlate of cortical idling: A review
Abstract
EEG desynchronization is a reliable correlate of excited neural structures of activated cortical areas. EEG synchronization within the alpha band may be an electrophysiological correlate of deactivated cortical areas. Such areas are not processing sensory information or motor output and can be considered to be in an idling state. One example of such an idling cortical area is the enhancement of mu rhythms in the primary hand area during visual processing or during foot movement. In both circumstances, the neurons in the hand area are not needed for visual processing or preparation for foot movement. As a result of this, an enhanced hand area mu rhythm can be observed.
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“Electroencephalography (EEG) studies have shown that cortical oscillations in the alpha band (8–14 Hz), previously considered an “idling” rhythm increasing in power at rest90, has more recently been linked to ignoring of task-irrelevant information (for review see ref. 91).”
From Paying attention to attention in depression (2019) · cites this paper as [90]
Citations
Cites
Über das Elektrenkephalogramm des Menschen
Berger, H. (1929) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/bf01797193 · Cited by 4,266
The functional states of the thalamus and the associated neuronal interplay.
Steriade, M., & Llinas, R. R. (1988) · Physiological Reviews · doi:10.1152/physrev.1988.68.3.649 · Cited by 1,746
Reference-free identification of components of checkerboard-evoked multichannel potential fields
Lehmann, D., & Skrandies, W. (1980) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(80)90419-8 · Cited by 1,595
Cerebral location of international 10–20 system electrode placement
Homan, R. W., Herman, J. H., & Purdy, P. D. (1987) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(87)90206-9 · Cited by 1,414
THE BERGER RHYTHM: POTENTIAL CHANGES FROM THE OCCIPITAL LOBES IN MAN
ADRIAN, E. D., & MATTHEWS, B. H. C. (1934) · Brain · doi:10.1093/brain/57.4.355 · Cited by 1,396
Event-related cortical desynchronization detected by power measurements of scalp EEG
Pfurtscheller, G., & Aranibar, A. (1977) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(77)90235-8 · Cited by 1,118
Self-citationNeural mechanisms underlying brain waves: from neural membranes to networks
Lopes da Silva, F. (1991) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(91)90044-5 · Cited by 1,112
Event-related synchronization (ERS): an electrophysiological correlate of cortical areas at rest
Pfurtscheller, G. (1992) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(92)90133-3 · Cited by 981
Self-citationFunctional magnetic resonance imaging of complex human movements
Rao, S. M., Binder, J. R., Bandettini, P. A., Hammeke, T. A., Yetkin, F. Z., Jesmanowicz, A., Lisk, L. M., Morris, G. L., Mueller, W. M., Estkowski, L. D., et al. (1993) · Neurology · doi:10.1212/wnl.43.11.2311 · Cited by 828
Spatiotemporal characteristics of sensorimotor neuromagnetic rhythms related to thumb movement
Salmelin, R. H., & Hari, R. (1994) · Neuroscience · doi:10.1016/0306-4522(94)90263-1 · Cited by 794
Research works printed but not linked: 3
- Brechet, 1965, Reactivity of mu-rhythm to flicker, Electroencephalogr. Clin. Neurophysiol., 18, 721
- Gastaut, 1952, Etude electrocorticographique de la reactivite des rythmes rolandiques, Rev. Neurol., 87, 176
- Klimesch, 1990, Alpha frequency and memory performance, J. Psychophysiol., 4, 391
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Hsueh, J.-J., Chen, T.-S., & Shaw, F. (2012) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2012.6418482 · Cited by 3
EEG-Correlates of Mental Attention are Modified by Presence of Specifying Visual Signals
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Thompson, N. M., Luft, C. D. B., & Banissy, M. J. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800935-2.00015-4 · Cited by 3
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Chow, T. (2014) · Scholarship@Western (Western University) · Cited by 3
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Rodionov, A. (2013) · Human Physiology · doi:10.1134/s0362119713030158 · Cited by 4
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Wantzen, P., Clochon, P., Doidy, F., Wallois, F., Mahmoudzadeh, M., Desaunay, P., Mille, C., Guilé, J.-M., Guenolé, F., Eustache, F., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-1107850/v1 · Cited by 3
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Zhou, Z., Liu, G., Xu, H., & Sun, Y. (2024) · Brain Sciences · doi:10.3390/brainsci14111135 · Cited by 3
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Xiong, X., Ji, X., Yi, S., Wang, C., Liu, R., & He, J. (2025) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2025.2476185 · Cited by 2
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Ursino, M. (2025) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.a.65 · Cited by 2
Pepper, J. L., Yao, B., Braithwaite, J. J., Bampouras, T. M., & Nuttall, H. E. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121671 · Cited by 2
Yiu, C. Y., Li, Q., Ng, K. K. H., & 中原, 信. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2608264 · Cited by 3
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Monroe, D. C., Berry, N. T., Fino, P. C., & Rhea, C. K. (2023) · Sensors · doi:10.3390/s23146296 · Cited by 2
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Hou, J., Wang, C., Jia, L., & Ma, H. (2023) · Scientific Reports · doi:10.1038/s41598-023-45807-8 · Cited by 2
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Scholz, S., & Kissler, J. M. (2025) · Social Neuroscience · doi:10.1080/17470919.2025.2474401 · Cited by 2
Inhibition of return in time-lapse: Brain Rhythms during grip force control for spatial attention
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Kristina, L., & Donald, C. J. S. (2013) · InTech eBooks · doi:10.5772/54770 · Cited by 3
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Huang, D. (2012) · VCU Scholars Compass (Virginia Commonwealth University) · doi:10.25772/5279-xe66 · Cited by 2
Goodman, R. N., Rietschel, J. C., Roy, A., Balasubramanian, S. A., Forrester, L. W., Bever, C. T., & Krebs, H. I. (2014) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2014.6913808 · Cited by 2
Feng, M., Wang, X., & Zheng, S. (2013) · International Conference on Intelligent Control and Information Processing · doi:10.1109/icicip.2013.6568072 · Cited by 2
Towards Adapting Information Graphics to Individual Users to Support Recognizing Intended Messages.
Burns, R. J., Schwartz, S. E., & Carberry, S. (2013) · Cited by 2
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Luo, A., Szibbo, D., Forbes, J., & Sullivan, T. J. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24571-8_60 · Cited by 2
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Kar, R., Konar, A., Chakraborty, A., & Ghosh, S. P. (2016) · IEEE India Conference · doi:10.1109/indicon.2016.7839145 · Cited by 2
Laaksonen, S.-M., Falco, A., Salminen, M., Aula, P., Ravaja, N., & Ainamo, A. (2011) · Cited by 2
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Ueda, K., Nishiura, Y., & Kitajo, K. (2020) · Neuroscience Research · doi:10.1016/j.neures.2020.03.007 · Cited by 2
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Monaco, J. D., Rajan, K., & Hwang, G. M. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.07284 · Cited by 7
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Lazarev, I. (2021) · Acta Astronautica · doi:10.1016/j.actaastro.2021.01.040 · Cited by 1
Metadata
- Authors
- Pfurtscheller, G., Stancák, A., & Neuper, C.
- Affiliations
- Graz University of Technology (AT)
- Corresponding author
- Pfurtscheller, G.
- Venue
- International Journal of Psychophysiology
- Publisher
- Elsevier BV
- Published
- 1996-11
- Volume
- 24
- Issue
- 1-2
- Pages
- 39-46
- ISSN
- 0167-8760 (ISSN-L)
- OpenAlex
- W2061746706
- Cited by
- 1,205
- References
- 50
- Citations by year
- 2026: 45 · 2025: 55 · 2024: 69 · 2023: 68 · 2022: 67 · 2021: 63 · 2020: 71 · 2019: 73 · 2018: 58 · 2017: 58 · 2016: 53 · 2015: 66 · 2014: 75 · 2013: 56 · 2012: 51
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Psychophysiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Keywords
- event-related synchronization, alpha band, EEG desynchronization, mu rhythm, primary motor cortex, cortical deactivation, visual processing, foot movement, electrophysiological correlates
- MeSH terms
- Alpha Rhythm, Beta Rhythm, Cortical Synchronization, Electrophysiology, Evoked Potentials, Foot, Hand, Humans, Motor Cortex, Movement, Psychomotor Performance, Visual Perception
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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