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Cited by 1,234Visual perception and processing mechanismsEEG and Brain-Computer InterfacesNeural dynamics and brain function

The steady-state visual evoked potential in vision research: A review

Open access
Norcia, Anthony M., Appelbaum, L. Gregory, Ales, Justin M., Cottereau, Benoit R., Rossion, Bruno·2015·Journal of Vision
DOI 10.1167/15.6.4PMC PMC4581566
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Abstract

Periodic visual stimulation and analysis of the resulting steady-state visual evoked potentials were first introduced over 80 years ago as a means to study visual sensation and perception. From the first single-channel recording of responses to modulated light to the present use of sophisticated digital displays composed of complex visual stimuli and high-density recording arrays, steady-state methods have been applied in a broad range of scientific and applied settings.The purpose of this article is to describe the fundamental stimulation paradigms for steady-state visual evoked potentials and to illustrate these principles through research findings across a range of applications in vision science.

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  • The thalamic lateral geniculate nucleus (LGN) mediates visual stimuli with temporal frequencies at least up to 90 Hz to layer IV of V1.

    “The thalamic lateral geniculate nucleus (LGN) mediates visual stimuli with temporal frequencies at least up to 90 Hz to the layer IV of V1 (Gur and Snodderly, 1997; Herrmann, 2001; Norcia et al., 2015; Pastor et al., 2003; Regan, 1989; Vialatte et al., 2010), which in turn relays to output layers II/III and V where temporal filtering occurs (Sachidhanandam et al., 2013), consistent with the notion”

    From Perception is associated with the brain’s metabolic response to sensory stimulation (2022) · cites this paper as Norcia et al., 2015

    The review’s ‘Responses to single periodic visual inputs’ section discusses SSVEP responses around 10 Hz, and ‘Local/global processing in hierarchical stimuli’ describes responses to 25–30 Hz stimulation. Searches for LGN, layer IV, and 90 Hz found no passage in our copy addressing transmission of visual stimuli through the LGN to V1 layer IV at 90 Hz. (LLM, conf=0.76)

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  • The firing rate of layer IV neurons that receive input from LGN is higher during UF than PF, as evidenced by the synchronization of these neurons to the stimulus frequency.

    “In particular, the firing rate of layer IV neurons that receive input from LGN is higher during UF than PF, as evidenced by the synchronization of these neurons to the stimulus frequency (Gur and Snodderly, 1997; Herrmann, 2001; Norcia et al., 2015; Pastor et al., 2003; Regan, 1989; Vialatte et al., 2010), yet we found that lactate and glutamate increases during PF, not UF.”

    From Perception is associated with the brain’s metabolic response to sensory stimulation (2022) · cites this paper as Norcia et al., 2015

    The ‘Responses to single periodic visual inputs’ section discusses SSVEP responses to luminance flicker, but does not compare neuronal firing rates during UF and PF. Searches for layer IV, LGN, and firing-rate comparisons found no passage in our copy addressing that claim. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

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Cites

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Research works printed but not linked: 5

  1. Behrens, P. (2009). CircStat: A MATLAB toolbox for circular statistics. Journal of Statistical Software, 31(10), 1-21.
  2. Handy, T. C. (2005). Event-related potential: A methods handbook. Cambridge, MA: MIT Press.
  3. Hillyard, S. A., Hinrichs, H., Tempelmann, C., Morgan, S. T., Hansen, J. C., Scheich, H., & Heinze, H. J. (1997). Combining steady-state visual evoked potentials and fMRI to localize brain activity during selective attention. Human Brain Mapping, 5(4), 287-292.
  4. Marmarelis, V. (2004). Non-linear modeling of physio- logical systems. Piscataway, NY: IEEE Press.
  5. Zemon, V., Victor, J. D., & Ratliff, F. (1986). Functional subsystems in the visual pathways of humans characterized using evoked potentials. In R. Q. Cracco & I. Bodis-Wollner (Eds.), Evoked potentials: Frontiers of clincal neuroscience, Vol. 3 (pp. 203-210). New York: Alan R. Liss, Inc.

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Authors
Norcia, A. M., Appelbaum, L. G., Ales, J. M., Cottereau, B. R., & Rossion, B.
Affiliations
  • Stanford University (US)
  • Duke University (US)
  • University of St Andrews (GB)
  • Centre National de la Recherche Scientifique (FR)
  • UCLouvain (BE)
ORCID
Venue
Journal of Vision
Publisher
Association for Research in Vision and Ophthalmology (ARVO)
Published
2015-05-05
Volume
15
Issue
6
Pages
4
ISSN
1534-7362 (ISSN-L)
DOI
10.1167/15.6.4
PMC
PMC4581566
OpenAlex
W2141031554
Cited by
1,234
References
235
Citations by year
2026: 91 · 2025: 123 · 2024: 138 · 2023: 138 · 2022: 118 · 2021: 137 · 2020: 157 · 2019: 111 · 2018: 94 · 2017: 67 · 2016: 45 · 2015: 13
FWCI
7.18
Type
journal article
Language
en
Open access
Locations
  • Journal of Vision (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
  • Digital Access to Libraries (submittedVersion, other-oa)
  • DukeSpace (Duke University) (submittedVersion, cc-by-nc-nd)
  • DukeSpace (Duke University) (submittedVersion)
  • St Andrews Research Repository (St Andrews Research Repository) (submittedVersion)
Funders
  • Fonds National de la Recherche Luxembourg
  • Fonds De La Recherche Scientifique - FNRS
  • National Institutes of Health (5r01ey018875-11, EY018875)
  • Defense Advanced Research Projects Agency (D12AP00025-002, D12AP00025)
  • Stanford Bio-X
  • National Eye Institute (EY018875, EY015790, R01 EY-018875, R56EY015790, R01EY015790)
  • FP7 Ideas: European Research Council (284025)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
steady-state visual evoked potentials, visual perception, visual sensation, modulated light, digital display
MeSH terms
Evoked Potentials, Visual, Humans, Vision, Ocular, Biomedical Research

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