Performance of optically pumped magnetometer magnetoencephalography: validation in large samples and multiple tasks
<i>Objective.</i>Current commercial magnetoencephalography (MEG) systems detect neuro-magnetic signals using superconducting quantum interference devices (SQUIDs), which require liquid helium as cryogen and have many limitations during operation. In contrast, optically 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.<i>Approach.</i>We recruited 100 participants, including healthy and neurological disorders individuals. Whole-brain OPM-MEG and SQUID-MEG data were recorded sequentially during auditory (<i>n</i>= 50) and visual (<i>n</i>= 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.<i>Main results.</i>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.<i>Significance.</i>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.
Authors
- Jia‐Hong Gao (ORCID: https://orcid.org/0000-0002-9311-0297)
- Guoming Luan (ORCID: https://orcid.org/0000-0001-5084-2458)
- Xiongfei Wang (ORCID: https://orcid.org/0000-0002-6327-9729)
- Jingwei Sheng (ORCID: https://orcid.org/0000-0001-8903-5020)
- Mengyang Wang (ORCID: https://orcid.org/0000-0003-2406-9996)
- Qiujian Meng (ORCID: https://orcid.org/0009-0000-8511-6544)
- Jiangfen Wu (ORCID: https://orcid.org/0000-0001-7353-997X)
- Yuguang Guan (ORCID: https://orcid.org/0000-0001-9945-2872)
- Tianfu Li (ORCID: https://orcid.org/0000-0002-8852-7653)
- Jian Zhou
- Yuying Jiang
- Pengfei Teng
Institutions
- General Electric (Spain) (ES)
- Peking University (CN)
- Beijing Sanbo Brain Hospital (CN)
- Jingdong (China) (CN)
- Chinese Institute for Brain Research (CN)
Publication Details
- Journal
- Journal of Neural Engineering
- Published
- 2024-11-24
- DOI
- https://doi.org/10.1088/1741-2552/ad9680
- Citations
- 6
- Primary Topic
- Atomic and Subatomic Physics Research
- Type
- article
- Field-Weighted Citation Impact
- 2.03
Funders
- Beijing Nova Program