ArticleBMC neuroscience2015
Driving steady-state visual evoked potentials at arbitrary frequencies using temporal interpolation of stimulus presentation.
Article in BMC neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Toward understanding the role of visual hierarchy in flicker-induced time dilation: A preregistered study.PloS one · 2026Article
- The consequences of color chromaticity on electrophysiological measures of attentional deployment in visual search.iScience · 2025Article
- Exploring Attention in Depth: Event-Related and Steady-State Visual Evoked Potentials During Attentional Shifts Between Depth Planes in a Novel Stimulation Setup.Vision (Basel, Switzerland) · 2025Article
- The time course of feature-selective attention inside and outside the focus of spatial attention.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Rapid invisible frequency tagging (RIFT): a promising technique to study neural and cognitive processing using naturalistic paradigms.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- The power of rhythms: how steady-state evoked responses reveal early neurocognitive development.NeuroImage · 2022Article
- Joint control of visually guided actions involves concordant increases in behavioural and neural coupling.Communications biology · 2021Article
- Revealing the Dynamic Nature of Amplitude Modulated Neural Entrainment With Holo-Hilbert Spectral Analysis.Frontiers in neuroscience · 2021Article
- People confabulate with high confidence when their decisions are supported by weak internal variables.Neuroscience of consciousness · 2021Article
- Artificial Intelligence Algorithms in Visual Evoked Potential-Based Brain-Computer Interfaces for Motor Rehabilitation Applications: Systematic Review and Future Directions.Frontiers in human neuroscience · 2021Review
- A Hybrid Speller Design Using Eye Tracking and SSVEP Brain-Computer Interface.Sensors (Basel, Switzerland) · 2020Article
- Optimising non-invasive brain-computer interface systems for free communication between naïve human participants.Scientific reports · 2019Article
- Unraveling nonlinear electrophysiologic processes in the human visual system with full dimension spectral analysis.Scientific reports · 2019Article
- Stimulus-Driven Brain Rhythms within the Alpha Band: The Attentional-Modulation Conundrum.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- No changes in parieto-occipital alpha during neural phase locking to visual quasi-periodic theta-, alpha-, and beta-band stimulation.The European journal of neuroscience · 2018Article
- Visual cortex responses reflect temporal structure of continuous quasi-rhythmic sensory stimulation.NeuroImage · 2017Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundSteady-state visual evoked potentials have been utilized widely in basic and applied research in recent years. These oscillatory responses of the visual cortex are elicited by flickering stimuli. They have the same fundamental frequency as the driving stimulus and are highly sensitive to manipulations of attention and stimulus properties. While standard computer monitors offer great flexibility in the choice of visual stimuli for driving SSVEPs, the frequencies that can be elicited are limited to integer divisors of the monitor's refresh rate.
resultsTo avoid this technical constraint, we devised an interpolation technique for stimulus presentation, with which SSVEPs can be elicited at arbitrary frequencies. We tested this technique with monitor refresh rates of 85 and 120 Hz. At a refresh rate of 85 Hz, interpolated presentation produced artifacts in the recorded spectrum in the form of additional peaks not located at the stimulated frequency or its harmonics. However, at a refresh rate of 120 Hz, these artifacts did not occur and the spectrum elicited by an interpolated flicker became indistinguishable from the spectrum obtained by non-interpolated presentation of the same frequency.
conclusionsOur interpolation technique eliminates frequency limitations of the common non-interpolated presentation technique and has many possible applications for future research.
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