Lencastre Pedro, Mathema Rujeena, Lind Pedro G
Department of Computer Science, OsloMet - Oslo Metropolitan University, Oslo, Norway.
OsloMet Artificial Intelligence Lab, OsloMet, Oslo, Norway.
PLoS One. 2025 Jun 9;20(6):e0325391. doi: 10.1371/journal.pone.0325391. eCollection 2025.
The critical flicker fusion threshold (CFFT) is the frequency at which a flickering light source becomes indistinguishable from continuous light. The CFFT is an important biomarker of health conditions, such as Alzheimer's disease and epilepsy, and is affected by factors as diverse as fatigue, drug consumption, and oxygen pressure, which make CFFT individual- and context-specific. Other causal factors beyond such biophysical processes are still to be uncovered. We investigate the connection between CFFT and specific eye-movements, called microtremors, which are small oscillatory gaze movements during fixation periods. We present evidence that individual differences in CFFT can be accounted by microtremors, and design an experiment, using a high-frequency monitor and recording the participant's eye-movements with an eye-tracker device, which enables to measure the range of frequencies of a specific individual's CFFT. Additionally, we introduce a classifier that can predict if the CFFT of specific participant lies in the range of high or low frequencies, based on the corresponding range of frequencies of eyes' microtremors. Our results show an accuracy of [Formula: see text] for a frequency threshold of 60 Hz and [Formula: see text] for a threshold of 120 Hz.
临界闪烁融合阈值(CFFT)是指闪烁光源与连续光源变得难以区分时的频率。CFFT是健康状况(如阿尔茨海默病和癫痫)的重要生物标志物,并且受到疲劳、药物摄入和氧气压力等多种因素的影响,这使得CFFT具有个体特异性和情境特异性。除了这种生物物理过程之外的其他因果因素仍有待发现。我们研究了CFFT与特定眼动(称为微震颤)之间的联系,微震颤是注视期间的微小振荡性注视运动。我们提供的证据表明,CFFT的个体差异可以由微震颤来解释,并设计了一个实验,使用高频监视器并用眼动追踪设备记录参与者的眼动,该实验能够测量特定个体的CFFT的频率范围。此外,我们引入了一种分类器,该分类器可以根据眼睛微震颤的相应频率范围预测特定参与者的CFFT是处于高频范围还是低频范围。我们的结果表明,对于60Hz的频率阈值,准确率为[公式:见正文],对于120Hz的阈值,准确率为[公式:见正文]。