谷歌浏览器插件
订阅小程序
在清言上使用

Patterned edge-illuminated display for clinical examination of visual evoked potentials using simultaneous magnetic resonance imaging

ADVANCES IN MEDICAL SCIENCES(2023)

引用 0|浏览3
暂无评分
摘要
Purpose: Commonly used technologies for visual pattern stimulation cannot operate in a magnetic resonance imaging room because they can interfere with the operation of the scanner and are vulnerable to its electromagnetic and magnetic fields. The aim of this single-center prospective observational study was to introduce a novel, structurally uncomplicated, easy-to-maintain, patterned edge-illuminated display (PEID) device for visual pattern-reversal stimulation, compare it with a commonly used cathode ray tube screen, and verify the equivalence of quantitative assays. Materials and methods: The left and right eyes of 36 healthy participants with undilated pupils were examined on a commercial visual evoked potential (VEP) apparatus and on the PEID device, where pattern-reversal transient VEPs were elicited by checkerboard stimuli with large (0.89 degrees; 0.86 degrees-0.92 degrees) and small (0.21 degrees; 0.20 degrees-0.23 degrees) checks.Results: The PEID device demonstrated the required reliability and dynamic characteristics, as well as precise time-locking required for a VEP diagnosis. The results of Deming's correlation analysis showed that both the commercial cathode ray tube monitor and the PEID device produced identical VEP results within the context of experimental uncertainty. The standard deviation of Deming's regression may indicate the uncertainty of the VEPs measured in clinical practice. The Bland-Altman analysis of the mean showed no significant difference in the amplitude and peak time of VEPs measured on the PEID device compared to that of the commercial cathode ray tube monitor.Conclusions: The presented PEID device meets all the required standards and can be easily installed in various types of commercial magnetic resonance imaging scanners.
更多
查看译文
关键词
Visual evoked potentials,Deming regression,Functional magnetic resonance imaging,Visual stimulus,Bland-altman analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要