Evaluation of the default-mode network by quantitative O-PET: comparative study between cerebral blood flow and oxygen consumption.

OBJECTIVE

Resting-state functional MRI (rs-fMRI) has revealed the existence of a default-mode network (DMN) based on spontaneous oscillations of the blood oxygenation level-dependent (BOLD) signal. The BOLD signal reflects the deoxyhemoglobin concentration, which depends on the relationship between the regional cerebral blood flow (CBF) and the cerebral metabolic rate of oxygen (CMRO). However, these two factors cannot be separated in BOLD rs-fMRI. In this study, we attempted to estimate the functional correlations in the DMN by means of quantitative O-labeled gases and water PET, and to compare the contribution of the CBF and CMRO to the DMN.

METHODS

Nine healthy volunteers (5 men and 4 women; mean age, 47.0 ± 1.2 years) were studied by means of O-O, O-CO gases and O-water PET. Quantitative CBF and CMRO images were generated by an autoradiographic method and transformed into MNI standardized brain template. Regions of interest were placed on normalized PET images according to the previous rs-fMRI study. For the functional correlation analysis, the intersubject Pearson's correlation coefficients (r) were calculated for all pairs in the brain regions and correlation matrices were obtained for CBF and CMRO, respectively. We defined r > 0.7 as a significant positive correlation and compared the correlation matrices of CBF and CMRO.

RESULTS

Significant positive correlations (r > 0.7) were observed in 24 pairs of brain regions for the CBF and 22 pairs of brain regions for the CMRO. Among them, 12 overlapping networks were observed between CBF and CMRO. Correlation analysis of CBF led to the detection of more brain networks as compared to that of CMRO, indicating that the CBF can capture the state of the spontaneous activity with a higher sensitivity.

CONCLUSIONS

We estimated the functional correlations in the DMN by means of quantitative PET using O-labeled gases and water. The correlation matrix derived from the CBF revealed a larger number of brain networks as compared to that derived from the CMRO, indicating that contribution to the functional correlation in the DMN is higher in the blood flow more than the oxygen consumption.