Kronemer Sharif I, Gobo Victoria E, Walsh Catherine R, Teves Joshua B, Burk Diana C, Shahsavarani Somayeh, Gonzalez-Castillo Javier, Bandettini Peter A
Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, Maryland (MD), United States of America (USA).
Laboratory of Neuropsychology, NIMH, NIH, Bethesda, MD, USA.
bioRxiv. 2024 Aug 13:2024.02.12.579393. doi: 10.1101/2024.02.12.579393.
Pupillometry is a popular method because pupil size is easily measured, sensitive to central neural activity, and associated with behavior, cognition, emotion, and perception. Currently, there is no method for online monitoring phases of pupil size fluctuation. We introduce - an open source software that automatically detects trends in pupil size in real time, enabling novel implementations of real time pupillometry towards achieving numerous research and translational goals. We validated the performance of rtPupilPhase on human, rodent, and monkey pupil data and propose future applications of real time pupillometry.
瞳孔测量法是一种常用方法，因为瞳孔大小易于测量，对中枢神经活动敏感，并且与行为、认知、情感和感知相关。目前，尚无用于在线监测瞳孔大小波动阶段的方法。我们介绍了rtPupilPhase——一种开源软件，它能实时自动检测瞳孔大小的变化趋势，为实现众多研究和转化目标的实时瞳孔测量法带来了新的应用。我们在人类、啮齿动物和猴子的瞳孔数据上验证了rtPupilPhase的性能，并提出了实时瞳孔测量法的未来应用。
