Low-Frequency Textured Gabor Flicker Enhances Neural Entrainment and Visual Comfort for Brain-Computer Interface Control

Abstract Steady-state visual evoked potentials (SSVEPs) are widely used in cognitive neuroscience and brain–computer interfaces (BCIs), but the visual discomfort induced by repetitive luminance flicker limits their usability, particularly in multi-target settings due to strong peripheral distraction. Textured flicker composed of Gabor patches has been proposed as a more comfortable alternative, but its suitability for SSVEP paradigms and its frequency-dependent impact on neural entrainment remain unclear. Here, we directly compared textured Gabor-based flicker and classical luminance flicker using a frequency sweep followed by a multi-class SSVEP BCI task. In Session 1 (N=24), we measured SSVEP signal-to-noise ratio (SNR), inter-trial coherence (ITC), and subjective comfort across 13 stimulation frequencies (3–18Hz). Gabor-based textures elicited higher SNR and ITC than plain flicker at low frequencies (3–9Hz), whereas plain flicker produced stronger and more phase-consistent responses at higher frequencies (12–18Hz), revealing a robust crossover in entrainment. Across almost all frequencies, Gabor stimuli were rated as more comfortable. Based on these results, we defined a low-frequency Gabor-optimized band (5–7Hz) and a higher plain-optimized band (14–16Hz). In Session 2 (N=18), these bands were used in a five-class offline SSVEP BCI. Classification accuracy was highest (Gabor: 95.7% at 5–7Hz; plain: 98.1% at 14–16Hz) when each stimulus type was used in its optimal band and decreased markedly when stimulus type and frequency band were mismatched. Gabor stimuli were consistently rated as more comfortable and nearly imperceptible in peripheral vision. Together, these findings establish textured Gabor flicker as a comfortable and effective alternative to luminance flicker for low-frequency SSVEP paradigms. Competing Interest Statement The authors have declared no competing interest. Footnotes Updated the abstract and the title to match the latest submitted to Elsevier and also updated the license to comply with their requirements.