The Role of Alpha-Band Brain Oscillations as a Sensory Suppression Mechanism during Selective Attention
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Evidence has amassed from both animal intracranial recordings and human electrophysiology that neural oscillatory mechanisms play a critical role in a number of cognitive functions such as learning, memory, feature binding and sensory gating. The wide availability of high-density electrical and magnetic recordings (64-256 channels) over the past two decades has allowed for renewed efforts in the characterization and localization of these rhythms. A variety of cognitive effects that are associated with specific brain oscillations have been reported, which range in spectral, temporal, and spatial characteristics depending on the context. Our laboratory has focused on investigating the role of alpha-band oscillatory activity (8-14 Hz) as a potential attentional suppression mechanism, and this particular oscillatory attention mechanism will be the focus of the current review. We discuss findings in the context of intersensory selective attention as well as intrasensory spatial and feature-based attention in the visual, auditory, and tactile domains. The weight of evidence suggests that alpha-band oscillations can be actively invoked within cortical regions across multiple sensory systems, particularly when these regions are involved in processing irrelevant or distracting information. That is, a central role for alpha seems to be as an attentional suppression mechanism when objects or features need to be specifically ignored or selected against.
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Traditional interpretations treated alpha as an idling rhythm, but contemporary EEG research strongly supports the view that alpha oscillations regulate functional inhibition, sensory gating, attentional selection, and access to stored information.
“Traditional interpretations treated alpha as an idling rhythm, but contemporary EEG research strongly supports the view that alpha oscillations regulate functional inhibition, sensory gating, attentional selection, and access to stored information [224,225,226].”
From Electrophysiological Correlates of Cognitive Dysfunction in Obsessive-Compulsive Disorder (OCD): A Systematic and Mechanistic Review of EEG, ERP, and QEEG Evidence (2026) · cites this paper as [225]
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Experimental — accuracy not yet measuredFoxe and Snyder (2011) also emphasised alpha as a mechanism of sensory suppression during selective attention.
“Foxe and Snyder (2011) also emphasised alpha as a mechanism of sensory suppression during selective attention [225].”
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Eimer, M. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00052-8 · Cited by 62 · see citing works
Gamma-band MEG activity to coherent motion depends on task-driven attention
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Importance of attentional mechanisms in audiovisual links
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Attention changes the peak latency of the visual gamma-band oscillation of the EEG
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Neurocognitive Problems in Attention Deficit Disorder
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Correlated variations in EEG pattern and visual responsiveness of cat lateral geniculate relay cells
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Occurrence of the Electroencephalographic Alpha Rhythm with Eyes Open
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Nonattentional effects of nonpredictive central cues
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Indexing the Graded Allocation of Visuospatial Attention Using Anticipatory Alpha OscillationsPreprint
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Visual Search for a Tilted Target: Tests of Spatial Uncertainty Models
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Temporal coding organized by coupled alpha and gamma oscillations prioritize visual processing
Jensen, O., Gips, B., Bergmann, T. O., & Bonnefond, M. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2014.04.001 · Cited by 389 · see citing works
The development of theta and alpha neural oscillations from ages 3 to 24 years
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Adverse Listening Conditions and Memory Load Drive a Common Alpha Oscillatory Network
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“Enhanced alpha oscillations have become a welldocumented neural substrate of increased cognitive effort, in line with a functional, inhibitory role of alpha in controlling or gating local circuits of neural activity (Klimesch et al., 2007; Jensen and Mazaheri, 2010; Foxe and Snyder, 2011; Weisz et al., 2011).”
BackgroundLenartowicz, A., Delorme, A., Walshaw, P. D., Cho, A. L., Bilder, R. M., McGough, J. J., McCracken, J. T., Makeig, S., & Loo, S. K. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1765-13.2014 · Cited by 158 · see citing works
Dynamic network structure of interhemispheric coordination
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The Human Neural Alpha Response to Speech is a Proxy of Attentional Control
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Memorable Audiovisual Narratives Synchronize Sensory and Supramodal Neural Responses
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Behavioral, Modeling, and Electrophysiological Evidence for Supramodality in Human Metacognition
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Self-citationThe Importance of Ignoring: Alpha Oscillations Protect Selectivity
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Self-citationContent-free awareness: EEG-fcMRI correlates of consciousness as such in an expert meditator
Winter, U., LeVan, P., Borghardt, T. L., Akin, B., Wittmann, M., Leyens, Y., & Schmidt, S. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.03064 · Cited by 63 · see citing works
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Self-citationA data augmentation scheme for geometric deep learning in personalized brain–computer interfaces.
Kalaganis, F. P., Laskaris, N. A., Chatzilari, E., Nikolopoulos, S., & Kompatsiaris, I. (2020) · IEEE Access · doi:10.1109/access.2020.3021580 · Cited by 26 · see citing works
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“posterior alpha power have been associated reliably with visual attention, thought to reflect mechanisms that gate sensory inputs (Foxe and Snyder, 2011; Jensen and Mazaheri, 2010; Klimesch, 2012; Pfurtscheller et al., 1996; da Silva and da Silva, 1991).”
BackgroundMethodInfluentialVera, J. D., Freichel, R., Michelini, G., Loo, S. K., & Lenartowicz, A. (2024) · Journal of Attention Disorders · doi:10.1177/10870547241253999 · Cited by 9 · see citing works
White, D. J., Cox, K. H. M., Hughes, M. E., Pipingas, A., Peters, R., & Scholey, A. B. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00288 · Cited by 8 · see citing works
Chmiel, J., & Kładna, A. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15155994
- Authors
- Foxe, J. J., & Snyder, A. C.
- Affiliations
- City College of New York (US)
- Corresponding author
- Foxe, John J.
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2011
- Volume
- 2
- Pages
- 154-154
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC3132683
- OpenAlex
- W2005105933
- Cited by
- 1,558
- References
- 118
- Citations by year
- 2026: 169 · 2025: 177 · 2024: 148 · 2023: 206 · 2022: 111 · 2021: 124 · 2020: 116 · 2019: 108 · 2018: 91 · 2017: 86 · 2016: 49 · 2015: 48 · 2014: 54 · 2013: 36 · 2012: 29
- FWCI
- 19.82
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- alpha oscillations, selective attention, sensory suppression, attentional suppression, sensory gating, spatial attention, feature-based attention, visual attention, auditory attention, tactile attention, distractor suppression, neural oscillations
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.
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