脑磁图
鱿鱼
磁强计
任务(项目管理)
生物磁学
振幅
计算机科学
噪音(视频)
物理
核磁共振
模式识别(心理学)
人工智能
神经科学
磁场
脑电图
光学
心理学
生物
工程类
图像(数学)
系统工程
量子力学
生态学
作者
Xiongfei Wang,Pengfei Teng,Qiujian Meng,Yuying Jiang,Jiangfen Wu,Tianfu Li,Mengyang Wang,Yuguang Guan,Jian Zhou,Jingwei Sheng,Jia‐Hong Gao,Guoming Luan
标识
DOI:10.1088/1741-2552/ad9680
摘要
Abstract Objective
Current commercial magnetoencephalography (MEG) systems detect neuro-magnetic signals using superconducting quantum interferometers devices (SQUIDs), which require liquid helium as cryogen and have many limitations during operation. In contrast, optical pumped magnetometers (OPMs) technology provides a promising alternative to conventional SQUID-MEG. OPMs can operate at room temperature, offering benefits such as flexible deployment and lower costs. However, the validation of OPM-MEG has primarily been conducted on small sample sizes and specific regions of interest in the brain, lacking comprehensive validation for larger sample sizes and assessment of whole-brain. 
Approach
We recruited 100 participants, including healthy and neurological disorders individuals. Whole-brain OPM-MEG and SQUID-MEG data were recorded sequentially during auditory (n = 50) and visual (n = 50) stimulation experiments. By comparing the task-evoked responses of the two systems, we aimed to validate the performance of the next-generation OPM-MEG. 
Main results
The results showed that OPM-MEG enhanced the amplitude of task-related responses and exhibited similar magnetic field patterns and neural oscillatory activity as SQUID-MEG. There was no difference in the task-related latencies measured by the two systems. The signal-to-noise ratio was lower for the OPM-MEG in the auditory experiment, but did not differ in the visual experiment, suggesting that the results may be task-dependent. 
Significance
These results demonstrate that OPM-MEG, as an alternative to traditional SQUID-MEG, shows superior response amplitude and comparable performance in capturing brain dynamics. This study provides evidence for the effectiveness of OPM-MEG as a next-generation neuroimaging technique.
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