ArticleVision (Basel, Switzerland)2024
Method to Quickly Map Multifocal Pupillary Response Fields (mPRF) Using Frequency Tagging.
Article in Vision (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- MEYELens: An affordable, open-source, 3D-printable eyewear platform for pupillometry and gaze tracking.Behavior research methods · 2026Article
- Where you didn't look: Perimetry based on the analysis of free-viewing gaze behavior while watching movie clips.Journal of vision · 2026Article
- Uncovering the Characteristics of Pupil Cycle Time (PCT) in Neuropathies and Retinopathies.Vision (Basel, Switzerland) · 2025Article
- Frequency tagged multifocal pupillary response fields identify age-related macular degeneration and diabetic retinopathy.Frontiers in neuroscience · 2025Article
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Authors and funding
14 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a method for mapping multifocal Pupillary Response Fields in a short amount of time using a visual stimulus covering 40° of the visual angle divided into nine contiguous sectors simultaneously modulated in luminance at specific, incommensurate, temporal frequencies. We test this multifocal Pupillary Frequency Tagging (mPFT) approach with young healthy participants (N = 36) and show that the spectral power of the sustained pupillary response elicited by 45 s of fixation of this multipartite stimulus reflects the relative contribution of each sector/frequency to the overall pupillary response. We further analyze the phase lag for each temporal frequency as well as several global features related to pupil state. Test/retest performed on a subset of participants indicates good repeatability. We also investigate the existence of structural (RNFL)/functional (mPFT) relationships. We then summarize the results of clinical studies conducted with mPFT on patients with neuropathies and retinopathies and show that the features derived from pupillary signal analyses, the distribution of spectral power in particular, are homologous to disease characteristics and allow for sorting patients from healthy participants with excellent sensitivity and specificity. This method thus appears as a convenient, objective, and fast tool for assessing the integrity of retino-pupillary circuits as well as idiosyncrasies and permits to objectively assess and follow-up retinopathies or neuropathies in a short amount of time.
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