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  <title>NITRC News Group Forum: the-whole-brain--global--signal-from-resting-state-fmri-as-a-potential-biomarker-of-quantitative-state-changes-in-glucose-metabolism.</title>
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	&lt;table border=&quot;0&quot; width=&quot;100%&quot;&gt;&lt;tr&gt;&lt;td align=&quot;left&quot;/&gt;&lt;/tr&gt;&lt;/table&gt;
        &lt;p&gt;&lt;b&gt;The whole-brain &quot;global&quot; signal from resting state fMRI as a potential biomarker of quantitative state changes in glucose metabolism.&lt;/b&gt;&lt;/p&gt;          
        &lt;p&gt;Brain Connect. 2016 Mar 31;&lt;/p&gt;
        &lt;p&gt;Authors:  Thompson GJ, Riedl V, Grimmer T, Drzezga A, Herman P, Hyder F&lt;/p&gt;
        &lt;p&gt;Abstract&lt;br/&gt;
        The evolution of functional magnetic resonance imaging to resting-state (R-fMRI) allows measurement of changes in brain networks attributed to state changes, such as in neuropsychiatric diseases versus healthy controls. Since these networks are observed by comparing normalized R-fMRI signals, it is difficult to determine the metabolic basis of such group differences. To investigate the metabolic basis of R-fMRI network differences within a normal range, eyes open versus eyes closed in healthy human subjects was used. R-fMRI was recorded simultaneously with fluoro-deoxyglucose positron emission tomography (FDG-PET). Higher baseline FDG was observed in the eyes open state. Variance-based metrics calculated from R-fMRI did not match the baseline shift in FDG. Functional connectivity density (FCD) based metrics showed a shift similar to the baseline shift of FDG, however, this was lost if R-fMRI &quot;nuisance signals&quot; were regressed prior to FCD calculation. Average correlation with the mean R-fMRI signal across the whole brain, generally regarded as a &quot;nuisance signal,&quot; also showed a shift similar to the baseline of FDG. Thus, despite lacking a baseline itself, changes in whole-brain correlation may reflect changes in baseline brain metabolism. Conversely, variance-based metrics may remain similar between states due to inherent region-to-region differences overwhelming the differences between normal physiological states. As most previous studies have excluded the spatial means of R-fMRI metrics from their analysis, this work presents the first evidence of a potential R-fMRI biomarker for baseline shifts in quantifiable metabolism between brain states.&lt;br/&gt;
        &lt;/p&gt;&lt;p&gt;PMID: 27029438 [PubMed - as supplied by publisher]&lt;/p&gt;
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