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OPM-MEG 和 fMRI 源定位比较及组合以检测感觉运动皮层反应。

Source localization comparison and combination of OPM-MEG and fMRI to detect sensorimotor cortex responses.

机构信息

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.

出版信息

Comput Methods Programs Biomed. 2024 Sep;254:108292. doi: 10.1016/j.cmpb.2024.108292. Epub 2024 Jun 21.

Abstract

BACKGROUND AND OBJECTIVES

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

Taken together, the performance exhibited by OPM-MEG positions it as a potential instrument for functional surgery assessment.

摘要

背景与目的

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。

方法

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。

结果

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。

结论

总的来说,OPM-MEG 的性能使其成为功能手术评估的潜在工具。

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