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), NIHBC 10 - Clinical Center BG RM 1D80, 10 Center Dr., Bethesda, MD, 20892, USA.
Laboratory of Neuropsychology, NIMH, NIH, Bethesda, MD, USA.
Behav Res Methods. 2024 Dec 10;57(1):9. doi: 10.3758/s13428-024-02545-7.
Pupillometry is a popular method because pupil size is easily measured and sensitive to central neural activity linked to behavior, cognition, emotion, and perception. Currently, there is no method for online monitoring phases of pupil size fluctuation. We introduce rtPupilPhase-an open-source software that automatically detects trends in pupil size in real time. This tool enables novel applications of real-time pupillometry for achieving numerous research and translational goals. We validated the performance of rtPupilPhase on human, rodent, and monkey pupil data, and we propose future implementations of real-time pupillometry.
瞳孔测量法是一种常用的方法，因为瞳孔大小易于测量，并且对与行为、认知、情感和感知相关的中枢神经活动敏感。目前，尚无在线监测瞳孔大小波动阶段的方法。我们推出了rtPupilPhase——一款开源软件，可实时自动检测瞳孔大小的变化趋势。该工具使实时瞳孔测量法能够应用于新的领域，以实现众多研究和转化目标。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未来的应用方向。
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