Suppr超能文献

跨物种实时检测瞳孔大小波动趋势

Cross-species real time detection of trends in pupil size fluctuation.

作者信息

Kronemer Sharif I, Gobo Victoria E, Walsh Catherine R, Teves Joshua B, Burk Diana C, Shahsavarani Somayeh, Gonzalez-Castillo Javier, Bandettini Peter A

机构信息

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.

出版信息

bioRxiv. 2024 Aug 13:2024.02.12.579393. doi: 10.1101/2024.02.12.579393.

Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b79f/11423243/9e68f2622580/nihpp-2024.02.12.579393v2-f0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验