Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the Elderly

Jiao, Fangyang; Gao, Zhongzhan; Shi, Kuangyu; Jia, Xize; Wu, Ping; Jiang, Chengfeng; Ge, Jingjie; Su, Hui; Guan, Yihui; Shi, Shenxun; Zang, Yu-Feng; Zuo, Chuantao (2019). Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the Elderly. Frontiers in neurology, 10(566), p. 566. Frontiers Media S.A. 10.3389/fneur.2019.00566

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Clinic of Nuclear Medicine

UniBE Contributor:

Shi, Kuangyu

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1664-2295

Publisher:

Frontiers Media S.A.

Language:

English

Submitter:

Sabine Lanz

Date Deposited:

18 Dec 2019 11:07

Last Modified:

19 Dec 2019 01:34

Publisher DOI:

10.3389/fneur.2019.00566

PubMed ID:

31191447

BORIS DOI:

10.7892/boris.136860

URI:

https://boris.unibe.ch/id/eprint/136860

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