Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the Elderly
Both glucose metabolism and resting-state fMRI (RS-fMRI) signal reflect hemodynamic features. The objective of this study was to investigate their relationship in the resting-state in healthy elderly participants (n = 18). For RS-fMRI signal, regional homogeneity (ReHo), amplitude of low frequency f...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-05-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fneur.2019.00566/full |
| _version_ | 1818512730652409856 |
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| author | Fangyang Jiao Zhongzhan Gao Zhongzhan Gao Kuangyu Shi Xize Jia Xize Jia Ping Wu Chengfeng Jiang Jingjie Ge Hui Su Yihui Guan Shenxun Shi Yu-Feng Zang Yu-Feng Zang Chuantao Zuo Chuantao Zuo Chuantao Zuo |
| author_facet | Fangyang Jiao Zhongzhan Gao Zhongzhan Gao Kuangyu Shi Xize Jia Xize Jia Ping Wu Chengfeng Jiang Jingjie Ge Hui Su Yihui Guan Shenxun Shi Yu-Feng Zang Yu-Feng Zang Chuantao Zuo Chuantao Zuo Chuantao Zuo |
| author_sort | Fangyang Jiao |
| collection | DOAJ |
| description | Both glucose metabolism and resting-state fMRI (RS-fMRI) signal reflect hemodynamic features. The objective of this study was to investigate their relationship in the resting-state in healthy elderly participants (n = 18). For RS-fMRI signal, regional homogeneity (ReHo), amplitude of low frequency fluctuations (ALFF), fractional ALFF (fALFF), and degree of centrality (DC) maps were generated in multiple frequency bands. Glucose uptake was acquired with 18F-fluorodeoxyglucose positron emission tomography (FDG-PET). Linear correlation of each pair of the FDG-PET and RS-fMRI metrics was explored both in across-voxel way and in across-subject way. We found a significant across-voxel correlation between the FDG-PET and BOLD-fMRI metrics. However, only a small portion of voxels showed significant across-subject correlation between FDG-PET and BOLD-fMRI metrics. All these results were similar across all frequency bands of RS-fMRI data. The current findings indicate that FDG-PET and RS-fMRI metrics share similar spatial pattern (significant across-voxel correlation) but have different underlying physiological importance (non-significant across-subject correlation). Specifically, FDG-PET measures the mean glucose metabolism over tens of minutes, while RS-fMRI measures the dynamic characteristics. The combination of FDG-PET and RS-fMRI provides complementary information to reveal the underlying mechanisms of the brain activity and may enable more comprehensive interpretation of clinical PET-fMRI studies. Future studies would attempt to reduce the artifacts of RS-fMRI and to analyze the dynamic feature of PET signal. |
| first_indexed | 2024-12-10T23:51:13Z |
| format | Article |
| id | doaj.art-5ea2f6544f9c449fa9979858078e5037 |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-12-10T23:51:13Z |
| publishDate | 2019-05-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Neurology |
| spelling | doaj.art-5ea2f6544f9c449fa9979858078e50372022-12-22T01:28:46ZengFrontiers Media S.A.Frontiers in Neurology1664-22952019-05-011010.3389/fneur.2019.00566408932Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the ElderlyFangyang Jiao0Zhongzhan Gao1Zhongzhan Gao2Kuangyu Shi3Xize Jia4Xize Jia5Ping Wu6Chengfeng Jiang7Jingjie Ge8Hui Su9Yihui Guan10Shenxun Shi11Yu-Feng Zang12Yu-Feng Zang13Chuantao Zuo14Chuantao Zuo15Chuantao Zuo16Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, ChinaCenter for Cognition and Brain Disorders, Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, ChinaZhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, ChinaDepartment of Nuclear Medicine, Klinikum Rechts der Isar, Technische Universität München, Munich, GermanyCenter for Cognition and Brain Disorders, Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, ChinaZhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, ChinaPET Center, Huashan Hospital, Fudan University, Shanghai, ChinaPET Center, Huashan Hospital, Fudan University, Shanghai, ChinaPET Center, Huashan Hospital, Fudan University, Shanghai, ChinaShanghai Mental Health Center, Shanghai Jiaotong University, Shanghai, ChinaPET Center, Huashan Hospital, Fudan University, Shanghai, ChinaPsychiatry Department, Huashan Hospital, Fudan University, Shanghai, ChinaCenter for Cognition and Brain Disorders, Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, ChinaZhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, ChinaPET Center, Huashan Hospital, Fudan University, Shanghai, ChinaInstitute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, ChinaHuman Phenome Institute, Fudan University, Shanghai, ChinaBoth glucose metabolism and resting-state fMRI (RS-fMRI) signal reflect hemodynamic features. The objective of this study was to investigate their relationship in the resting-state in healthy elderly participants (n = 18). For RS-fMRI signal, regional homogeneity (ReHo), amplitude of low frequency fluctuations (ALFF), fractional ALFF (fALFF), and degree of centrality (DC) maps were generated in multiple frequency bands. Glucose uptake was acquired with 18F-fluorodeoxyglucose positron emission tomography (FDG-PET). Linear correlation of each pair of the FDG-PET and RS-fMRI metrics was explored both in across-voxel way and in across-subject way. We found a significant across-voxel correlation between the FDG-PET and BOLD-fMRI metrics. However, only a small portion of voxels showed significant across-subject correlation between FDG-PET and BOLD-fMRI metrics. All these results were similar across all frequency bands of RS-fMRI data. The current findings indicate that FDG-PET and RS-fMRI metrics share similar spatial pattern (significant across-voxel correlation) but have different underlying physiological importance (non-significant across-subject correlation). Specifically, FDG-PET measures the mean glucose metabolism over tens of minutes, while RS-fMRI measures the dynamic characteristics. The combination of FDG-PET and RS-fMRI provides complementary information to reveal the underlying mechanisms of the brain activity and may enable more comprehensive interpretation of clinical PET-fMRI studies. Future studies would attempt to reduce the artifacts of RS-fMRI and to analyze the dynamic feature of PET signal.https://www.frontiersin.org/article/10.3389/fneur.2019.00566/fullfMRIPETFDGfrequency-dependentmulti-modalities |
| spellingShingle | Fangyang Jiao Zhongzhan Gao Zhongzhan Gao Kuangyu Shi Xize Jia Xize Jia Ping Wu Chengfeng Jiang Jingjie Ge Hui Su Yihui Guan Shenxun Shi Yu-Feng Zang Yu-Feng Zang Chuantao Zuo Chuantao Zuo Chuantao Zuo Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the Elderly Frontiers in Neurology fMRI PET FDG frequency-dependent multi-modalities |
| title | Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the Elderly |
| title_full | Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the Elderly |
| title_fullStr | Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the Elderly |
| title_full_unstemmed | Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the Elderly |
| title_short | Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the Elderly |
| title_sort | frequency dependent relationship between resting state fmri and glucose metabolism in the elderly |
| topic | fMRI PET FDG frequency-dependent multi-modalities |
| url | https://www.frontiersin.org/article/10.3389/fneur.2019.00566/full |
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