bioRxivNeurosciencePreprint
iSleep: Continuous, binocular pupil tracking in sleep and reduced consciousness for physiological monitoring, predictions and interventions
Özge Yüzgeç, Guillaume LegendreiD, Amirhossein AsadianiD, Yesica GloriaiD, L. BayeriD, Quentin Tourdot, Sebastien Pellat, Sahsa Novozhilova, Camille D'Ancona, Marina UlanovaiD, Mateusz Kecik, Andrea Maccari, David Lopez, Laura Licini, Gaël Nguyen Tang, Sébastien van Delden, Giorgio Enrico BravettiiD, Tin Vo, Martina KroppiD, Colette BoëxiD, Line Jakus, Karl SchalleriD, Fanny Sollander, László VutskitsiD, Gabriele ThumanniD, , Daniel HuberiD
Abstract
Monitoring pupil dynamics is a key tool in understanding arousal. Pupil size can serve as a biomarker for the autonomic nervous system balance as well as for identifying brain states. While internal states can also be self-reported when awake, automated detection and non-invasive monitoring is crucial during sleep and reduced consciousness. Here, we introduce iSleep, an innovative pupil tracking and analysis framework for sleep in humans. It features comfortable, humidified eye-tracking goggles and a platform for integrated analysis and prediction capabilities. We show that iSleep allows safe and continuous access to binocular pupil size and ocular dynamics during sleep and anesthesia. iSleep reveals that pupillary fluctuations correlate tightly with brain activity, heartbeat, and breathing, and can reliably predict brain states. Pupil constrictions reflect parasympathetic drive and likely serve a protective function for deep sleep stability; while dilations indicate arousals. Unexpectedly, we observed a decoupling of binocular movements during periods of sleep, indicating alterations in reflexes which usually govern voluntary eye movements. Finally, iSleep was tested in surgery patients under general anesthesia, revealing dynamic pupil changes to noxious stimuli, suggesting the potential for nociception monitoring during surgeries. In summary, iSleep offers an easy-to-use, robust alternative to read out brain states during sleep and anesthesia, opening new avenues in monitoring, diagnostics, and treatments, previously obscured by closed eyelids.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Video-based eye movements are linked to cortical and pupil-based arousal in human sleep
Manuel Carro‐Domínguez, Stella Oberlin, … Caroline Lustenberger·bioRxiv·Jun 12, 2026
- Relating pupil diameter and blinking to cortical activity and hemodynamics across arousal states
Kevin L. Turner, Kyle W. Gheres, Patrick J. Drew·Journal of NeurosciencePeer-reviewed·Dec 14, 2022
- Pupil-DLC: an open-source deep learning pipeline for scalable, marker-less tracking of pupil dynamics across conscious and unconscious states
Parsa Seyfourian, Lydia C. Marks, … Irene Rembado·Journal of Neuroscience MethodsPeer-reviewed·Jul 4, 2026
- Pupil size reveals arousal level dynamics in human sleep
Manuel Carro‐Domínguez, Stephanie Huwiler, … Caroline Lustenberger·Nature CommunicationsPeer-reviewed·Feb 28, 2025
- Learning to read the imprints of consciousness on global brain dynamics: an application to intra-operative monitoring of anesthesia
Leandro M. Alonso, Guillermo Solovey, … Marcelo O. Magnasco·bioRxiv·Nov 27, 2017
- Automated Pupillometry to Detect Command Following in Neurological Patients: A Proof-of-Concept Study
Alexandra Vassilieva, Markus Harboe Olsen, … Daniel Kondziella·PeerJPeer-reviewed·May 13, 2019