From eyes’ microtremors to critical flicker fusion

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.

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Publication Details

Journal
PLoS ONE
Published
2025-06-09
DOI
https://doi.org/10.1371/journal.pone.0325391
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
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article

From eyes’ microtremors to critical flicker fusion

Pedro G. Lind, Pedro Lencastre, Rujeena Mathema
PLoS ONE
EEG and Brain-Computer Interfaces
article

From eyes’ microtremors to critical flicker fusion

Pedro G. Lind, Pedro Lencastre, Rujeena Mathema
article en

Abstract

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.

PLoS ONEVol. 20(6)
OsloMet – Oslo Metropolitan University (NO), Simula Research Laboratory (NO), Høyskolen Kristiania (NO), 657 Oslo (NO)
Good health and well-being
Openalex Percentile: Top 88%
EEG and Brain-Computer Interfaces
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From eyes’ microtremors to critical flicker fusion — Pedro G. Lind, Pedro Lencastre, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS