The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
The Speed of Alpha-Band Oscillations Predicts the Temporal Resolution of Visual Perception
Open accessAbstract
Summary Evidence suggests that scalp-recorded occipital alpha-band (8-13 Hz) oscillations reflect phasic information transfer in thalamocortical neurons projecting from LGN to visual cortex [1–5]. In animals, the phase of ongoing alpha oscillations has been show to modulate stimulus discrimination and neuronal spiking [6]. Human research has shown that alpha phase predicts visual perception of near-threshold stimuli [7–11] and subsequent neural activity [12–14], and that the frequency of these oscillations predicts reaction times [15], as well as the maximum temporal interval necessary for perceived simultaneity [16]. These phasic effects have lead to the hypothesis that conscious perception occurs in discrete temporal windows, clocked by the frequency of alpha oscillations [17–21]. Under this hypothesis, variation in the frequency of occipital alpha oscillations should predict variation in the temporal resolution of visual perception. Specifically, when two stimuli fall within the same alpha cycle they may be perceived as a single stimulus, resulting in perception with lower temporal resolution when alpha frequency is lower. We tested this by assessing the relationship between two-flash fusion thresholds (a measure of the temporal resolution of visual perception), and the frequency of eyes-closed and task-related alpha rhythms. We found, both between- and within-subjects, that faster alpha frequencies predicted more accurate flash discrimination, providing novel evidence linking alpha frequency to the temporal resolution of perception.
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Cites
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
The Phase of Ongoing EEG Oscillations Predicts Visual Perception
Busch, N. A., Dubois, J., & VanRullen, R. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0113-09.2009 · Cited by 1,158
To See or Not to See: Prestimulus α Phase Predicts Visual Awareness
Mathewson, K. E., Gratton, G., Fabiani, M., Beck, D. M., & Ro, T. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3963-08.2009 · Cited by 1,007
Haegens, S., Nácher, V., Luna, R., Romo, R., & Jensen, O. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117190108 · Cited by 738
Is perception discrete or continuous?
VanRullen, R., & Koch, C. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00095-0 · Cited by 662
Neuronal Mechanisms and Attentional Modulation of Corticothalamic Alpha Oscillations
Bollimunta, A., Mo, J., Schroeder, C. E., & Ding, M. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5580-10.2011 · Cited by 441
Individual Differences in Alpha Frequency Drive Crossmodal Illusory Perception
Cecere, R., Rees, G., & Romei, V. (2015) · Current Biology · doi:10.1016/j.cub.2014.11.034 · Cited by 413
Dugué, L., Marque, P., & VanRullen, R. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.1161-11.2011 · Cited by 364 · cited 3×
“An alternative explanation, consistent with prior findings demonstrating perceptual modulation within a single alpha cycle [6–11], is that because, on near- and belowthreshold trials, each flash occurs during near-opposite phase angles, one flash may be processed suboptimally by the visual system and simply missed.”
BackgroundResultTemporal Framing of Thalamic Relay-Mode Firing by Phasic Inhibition during the Alpha Rhythm
Lőrincz, M. L., Kékesi, K. A., Juhász, G., Crunelli, V., & Hughes, S. W. (2009) · Neuron · doi:10.1016/j.neuron.2009.08.012 · Cited by 330
Organization of thalamic and cortical alpha rhythms: Spectra and coherences
Lopes da Silva, F. H., van Lierop, T. H. M. T., Schrijer, C. F., & Storm van Leeuwen, W. (1973) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(73)90216-2 · Cited by 327
Cited by
The generation and propagation of the human alpha rhythm
Halgren, M., Ulbert, I., Bastuji, H., Fabó, D., Erőss, L., Rey, M., Devinsky, O., Doyle, W. K., Mak-McCully, R., Halgren, E., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1913092116 · Cited by 425
The neural dynamics of hierarchical Bayesian causal inference in multisensory perception
Rohe, T., Ehlis, A.-C., & Noppeney, U. (2019) · Nature Communications · doi:10.1038/s41467-019-09664-2 · Cited by 187
Samaha, J., Boutonnet, B., Postle, B. R., & Lupyan, G. (2018) · Scientific Reports · doi:10.1038/s41598-018-25093-5 · Cited by 80
Self-citationPreservation and Changes in Oscillatory Dynamics across the Cortical Hierarchy
Lundqvist, M., Bastos, A. M., & Miller, E. K. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01600 · Cited by 58
Buccellato, A., Zang, D., Zilio, F., Gomez-Pilar, J., Wang, Z., Qi, Z., Zheng, R., Xu, Z., Wu, X., Bisiacchi, P., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2022.119802 · Cited by 24
Metadata
- Authors
- Samaha, J., & Postle, B. R.
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 25
- Issue
- 22
- Pages
- 2985-2990
- ISSN
- 0960-9822 (ISSN-L)
- OpenAlex
- W1955021700
- Cited by
- 465
- References
- 26
- FWCI
- 13.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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