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Consistent resting brain activity patterns have been repeatedly demonstrated using measures derived from resting BOLD fMRI data. While those metrics are presumed to reflect underlying spontaneous brain activity SBA, it is challenging to prove that association because resting BOLD fMRI metrics are purely model-free and scale-free variables. Cerebral blood flow CBF is typically closely coupled to brain metabolism and is used as a surrogate marker for quantifying regional brain function, including resting function. Assessing the correlations between resting BOLD fMRI measures and CBF correlation should provide a means of linking of those measures to the underlying SBA, and a means to quantify those scale-free measures. The purpose of this paper was to examine the CBF correlations of 3 widely used neuroimaging-based SBA measures, including seed-region based functional connectivity FC, regional homogeneity ReHo, and amplitude of low frequency fluctuation ALFF. Test-retest data were acquired to check the stability of potential correlations across time. Reproducible posterior cingulate cortex PCC FC vs regional CBF correlations were found in much of the default mode network and visual cortex. Dorsal anterior cingulate cortex ACC FC vs CBF correlations were consistently found in bilateral prefrontal cortex. Both ReHo and ALFF were found to be reliably correlated with CBF in most of brain cortex. None of the assessed SBA measures was correlated with whole brain mean CBF. These findings suggest that resting BOLD fMRI-derived measures are coupled with regional CBF and are therefore linked to regional SBA.



Autor: Zhengjun Li, Yisheng Zhu, Anna Rose Childress, John A. Detre, Ze Wang

Fuente: http://plos.srce.hr/



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