Source localization comparison and combination of OPM-MEG and fMRI to detect sensorimotor cortex responses
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...
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Published in | Computer methods and programs in biomedicine Vol. 254; p. 108292 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
01.09.2024
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Abstract | 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.
•The brain responses measured by OPM-MEG and fMRI were investigated and compared.•A source power-spectrum ratio-based imaging method was proposed and applied.•Simulations and experiments validated the effectiveness of the proposed method.•Fidelities across multiple subjects and runs demonstrated the performance of OPM-MEG. |
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AbstractList | 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.
•The brain responses measured by OPM-MEG and fMRI were investigated and compared.•A source power-spectrum ratio-based imaging method was proposed and applied.•Simulations and experiments validated the effectiveness of the proposed method.•Fidelities across multiple subjects and runs demonstrated the performance of OPM-MEG. 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. 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.BACKGROUND AND OBJECTIVESThe 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.METHODSFor 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.RESULTSThe 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.CONCLUSIONSTaken together, the performance exhibited by OPM-MEG positions it as a potential instrument for functional surgery assessment. |
ArticleNumber | 108292 |
Author | Cao, Fuzhi Wang, Dawei Wang, Wenli Yu, Dexin Ning, Xiaolin Xu, Weinan Gao, Yang Wang, Chunhui Xiang, Min Li, Wen Gao, Zhenfeng An, Nan |
Author_xml | – sequence: 1 givenname: Nan orcidid: 0000-0001-9919-0745 surname: An fullname: An, Nan organization: Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China – sequence: 2 givenname: Zhenfeng surname: Gao fullname: Gao, Zhenfeng organization: Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China – sequence: 3 givenname: Wen orcidid: 0000-0001-9494-005X surname: Li fullname: Li, Wen organization: Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China – sequence: 4 givenname: Fuzhi orcidid: 0000-0002-0510-2757 surname: Cao fullname: Cao, Fuzhi email: caofuzhi@buaa.edu.cn organization: Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China – sequence: 5 givenname: Wenli orcidid: 0000-0002-7095-7807 surname: Wang fullname: Wang, Wenli organization: Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China – sequence: 6 givenname: Weinan surname: Xu fullname: Xu, Weinan organization: Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China – sequence: 7 givenname: Chunhui surname: Wang fullname: Wang, Chunhui organization: Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China – sequence: 8 givenname: Min orcidid: 0000-0002-0239-3392 surname: Xiang fullname: Xiang, Min organization: Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China – sequence: 9 givenname: Yang surname: Gao fullname: Gao, Yang organization: Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China – sequence: 10 givenname: Dawei surname: Wang fullname: Wang, Dawei organization: Shandong Key Laboratory: Magnetic Field-free Medicine & Functional Imaging, Qilu hospital of Shandong University, Jinan, 250014, China – sequence: 11 givenname: Dexin surname: Yu fullname: Yu, Dexin organization: Shandong Key Laboratory: Magnetic Field-free Medicine & Functional Imaging, Qilu hospital of Shandong University, Jinan, 250014, China – sequence: 12 givenname: Xiaolin surname: Ning fullname: Ning, Xiaolin organization: Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China |
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SubjectTerms | Adult Algorithms Brain Mapping - methods Computer Simulation fMRI Humans Magnetic Resonance Imaging - methods Magnetoencephalography (MEG) Magnetoencephalography - methods Male OPM-MEG Oscillatory activity Sensorimotor Cortex - diagnostic imaging Sensorimotor Cortex - physiology Spatial localization |
Title | Source localization comparison and combination of OPM-MEG and fMRI to detect sensorimotor cortex responses |
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