期刊
BRAIN CONNECTIVITY
卷 2, 期 5, 页码 275-283出版社
MARY ANN LIEBERT, INC
DOI: 10.1089/brain.2012.0086
关键词
brain metabolism; brain network; default-mode network; independent component analysis; metabolism covariance; PET
资金
- National Institute of Health [5R01AG032088]
- Alzheimer's Disease Neuroimaging Initiative (ADNI
- National Institutes of Health) [U01 AG024904]
- NIA
- NIBIB
- Abbott
- Alzheimer's Association
- Alzheimer's Drug Discovery Foundation
- Amorfix Life Sciences Ltd.
- AstraZeneca
- Bayer HealthCare
- BioClinica, Inc.
- Biogen Idec, Inc.
- Bristol-Myers Squibb Company
- Eisai, Inc.
- Elan Pharmaceuticals, Inc.
- Eli Lilly and Company
- F. Hoffmann-La Roche Ltd.
- Genentech, Inc.
- GE Healthcare
- Innogenetics, N.V.
- Janssen Alzheimer Immunotherapy Research & Development, LLC.
- Johnson & Johnson Pharmaceutical Research & Development LLC.
- Medpace, Inc.
- Merck Co., Inc.
- Meso Scale Diagnostics, LLC.
- Novartis Pharmaceuticals Corporation
- Pfizer, Inc.
- Servier
- Synarc, Inc.
- Takeda Pharmaceutical Company
- Canadian Institutes of Health Research
- NIH [P30 AG010129, K01 AG030514]
- Dana Foundation
The human brain is inherently organized as separate networks, as has been widely revealed by resting-state functional magnetic resonance imaging (fMRI). Although the large-scale functional connectivity can be partially explained by the underlying white-matter structural connectivity, the question of whether the underlying functional connectivity is related to brain metabolic factors is still largely unanswered. The present study investigated the presence of metabolic covariant networks across subjects using a set of fluorodeoxyglucose (F-18, FDG) positron-emission tomography (PET) images. Spatial-independent component analysis was performed on the subject series of FDG-PET images. A number of networks that were mainly homotopic regions could be identified, including visual, auditory, motor, cerebellar, and subcortical networks. However, the anterior-posterior networks such as the default-mode and left frontoparietal networks could not be observed. Region-of-interest-based correlation analysis confirmed that the intersubject metabolic covariances within the default-mode and left frontoparietal networks were reduced as compared with corresponding time-series correlations using resting-state fMRI from an independent sample. In contrast, homotopic intersubject metabolic covariances observed using PET were comparable to the corresponding fMRI resting-state time-series correlations. The current study provides preliminary illustration, suggesting that the human brain metabolism pertains to organized covariance patterns that might partially reflect functional connectivity as revealed by resting-state blood oxygen level dependent (BOLD). The discrepancy between the PET covariance and BOLD functional connectivity might reflect the differences of energy consumption coupling and ongoing neural synchronization within these brain networks.
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