Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China; Hangzhou Institute of Extremely-weak Magnetic Field Major National Science and Technology Infrastructure, Hangzhou, 310051, China.
Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China; Hangzhou Institute of Extremely-weak Magnetic Field Major National Science and Technology Infrastructure, Hangzhou, 310051, China; Zhejiang Provincial Key Laboratory of Ultra-Weak Magnetic-Field Space and Applied Technology, Hangzhou Innovation Institute, Beihang University, Hangzhou, 310051, China.
Comput Methods Programs Biomed. 2024 Sep;254:108292. doi: 10.1016/j.cmpb.2024.108292. Epub 2024 Jun 21.
The exploration of various neuroimaging techniques have become focal points within the field of neuroscience research. Magnetoencephalography based on optically pumped magnetometers (OPM-MEG) has shown significant potential to be the next generation of functional neuroimaging with the advantages of high signal intensity and flexible sensor arrangement. In this study, we constructed a 31-channel OPM-MEG system and performed a preliminary comparison of the temporal and spatial relationship between magnetic responses measured by OPM-MEG and blood-oxygen-level-dependent signals detected by functional magnetic resonance imaging (fMRI) during a grasping task.
For OPM-MEG, the β-band (15-30 Hz) oscillatory activities can be reliably detected across multiple subjects and multiple session runs. To effectively localize the inhibitory oscillatory activities, a source power-spectrum ratio-based imaging method was proposed. This approach was compared with conventional source imaging methods, such as minimum norm-type and beamformer methods, and was applied in OPM-MEG source analysis. Subsequently, the spatial and temporal responses at the source-level between OPM-MEG and fMRI were analyzed.
The effectiveness of the proposed method was confirmed through simulations compared to benchmark methods. Our demonstration revealed an average spatial separation of 10.57 ± 4.41 mm between the localization results of OPM-MEG and fMRI across four subjects. Furthermore, the fMRI-constrained OPM-MEG localization results indicated a more focused imaging extent.
Taken together, the performance exhibited by OPM-MEG positions it as a potential instrument for functional surgery assessment.
神经影像学技术的探索已成为神经科学研究领域的焦点。基于光泵磁强计的脑磁图(OPM-MEG)具有高信号强度和灵活的传感器排列的优势,有望成为下一代功能神经影像学技术。在这项研究中,我们构建了一个 31 通道的 OPM-MEG 系统,并在抓握任务期间对 OPM-MEG 测量的磁响应与功能磁共振成像(fMRI)检测到的血氧水平依赖信号之间的时间和空间关系进行了初步比较。
对于 OPM-MEG,β 波段(15-30 Hz)的振荡活动可以在多个被试和多个运行期间可靠地检测到。为了有效地定位抑制性振荡活动,提出了一种基于源功率谱比的成像方法。该方法与传统的源成像方法(如最小范数型和波束形成器方法)进行了比较,并应用于 OPM-MEG 源分析中。随后,分析了源水平上 OPM-MEG 和 fMRI 之间的时空响应。
与基准方法相比,通过模拟验证了该方法的有效性。我们的演示结果表明,在四个被试中,OPM-MEG 和 fMRI 的定位结果之间的平均空间分离为 10.57 ± 4.41mm。此外,fMRI 约束的 OPM-MEG 定位结果显示出更集中的成像范围。
总的来说,OPM-MEG 的性能使其成为功能手术评估的潜在工具。