ArticleSensors (Basel, Switzerland)2020
Evaluating the Effect of Stimuli Color and Frequency on SSVEP.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- Rhythmic visual stimulation as a window into early brain development: A systematic review.Developmental cognitive neuroscience · 2023Pooled it
- Leveraging Cross-Subject Transfer Learning and Signal Augmentation for Enhanced RGB Color Decoding from EEG Data.Brain sciences · 2026Article
- Online Compensation of Systematic Effects in Stimuli Generation for XR-Based SSVEP BCIs.Sensors (Basel, Switzerland) · 2026Article
- Optimization of stimulus color for peripheral SSVEP-based brain-computer interfaces.Frontiers in human neuroscience · 2026Article
- Comparative study of SSVEP characteristics in mixed versus virtual reality across varying depths.Frontiers in neuroscience · 2026Article
- Investigation of Personalized Visual Stimuli via Checkerboard Patterns Using Flickering Circles for SSVEP-Based BCI System.Sensors (Basel, Switzerland) · 2025Article
- Article
- Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy System.Sensors (Basel, Switzerland) · 2025Article
- Dual-Mode Visual System for Brain-Computer Interfaces: Integrating SSVEP and P300 Responses.Sensors (Basel, Switzerland) · 2025Article
- Response coupling with an auxiliary neural signal for enhancing brain signal detection.Scientific reports · 2025Article
- Light-based gamma entrainment with novel invisible spectral flicker stimuli.Scientific reports · 2024Article
- A subjective and objective fusion visual fatigue assessment system for different hardware and software parameters in SSVEP-based BCI applications.Scientific reports · 2024Article
- Article
- Brain stimulation with 40 Hz heterochromatic flicker extended beyond red, green, and blue.Scientific reports · 2024Article
- Advancements in brain-computer interfaces for the rehabilitation of unilateral spatial neglect: a concise review.Frontiers in neuroscience · 2024Review
- A novel non-invasive EEG-SSVEP diagnostic tool for color vision deficiency in individuals with locked-in syndrome.Frontiers in bioengineering and biotechnology · 2024Article
- The mechanism of human color vision and potential implanted devices for artificial color vision.Frontiers in neuroscience · 2024Review
- Brain-Computer Interface Based on Steady-State Visual Evoked Potential Using Quick-Response Code Pattern for Wheelchair Control.Sensors (Basel, Switzerland) · 2023Article
- Cross-Platform Implementation of an SSVEP-Based BCI for the Control of a 6-DOF Robotic Arm.Sensors (Basel, Switzerland) · 2022Article
- Steady-State Visual Evoked Potential-Based Brain-Computer Interface Using a Novel Visual Stimulus with Quick Response (QR) Code Pattern.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-computer interfaces (BCI) can extract information about the subject's intentions by registering and processing electroencephalographic (EEG) signals to generate actions on physical systems. Steady-state visual-evoked potentials (SSVEP) are produced when the subject stares at flashing visual stimuli. By means of spectral analysis and by measuring the signal-to-noise ratio (SNR) of its harmonic contents, the observed stimulus can be identified. Stimulus color matters, and some authors have proposed red because of its ability to capture attention, while others refuse it because it might induce epileptic seizures. Green has also been proposed and it is claimed that white may generate the best signals. Regarding frequency, middle frequencies are claimed to produce the best SNR, although high frequencies have not been thoroughly studied, and might be advantageous due to the lower spontaneous cerebral activity in this frequency band. Here, we show white, red, and green stimuli, at three frequencies: 5 (low), 12 (middle), and 30 (high) Hz to 42 subjects, and compare them in order to find which one can produce the best SNR. We aim to know if the response to white is as strong as the one to red, and also if the response to high frequency is as strong as the one triggered by lower frequencies. Attention has been measured with the Conner's Continuous Performance Task version 2 (CPT-II) task, in order to search for a potential relationship between attentional capacity and the SNR previously obtained. An analysis of variance (ANOVA) shows the best SNR with the middle frequency, followed by the low, and finally the high one. White gives as good an SNR as red at 12 Hz and so does green at 5 Hz, with no differences at 30 Hz. These results suggest that middle frequencies are preferable and that using the red color can be avoided. Correlation analysis also show a correlation between attention and the SNR at low frequency, so suggesting that for the low frequencies, more attentional capacity leads to better results.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.