The Whole-Brain "global" Signal from Resting State fMRI as a Potential Biomarker of Quantitative State Changes in Glucose Metabolism
Thompson GJ, Riedl V, Grimmer T, Drzezga A, Herman P, Hyder F (2016)
Publication Type: Journal article
Publication year: 2016
Journal
Book Volume: 6
Pages Range: 435-447
Journal Issue: 6
Abstract
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 "nuisance signals" were regressed before FCD calculation. Average correlation with the mean R-fMRI signal across the whole brain, generally regarded as a "nuisance signal," 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.
Involved external institutions
Yale School of Medicine
United States (USA) (US)
Technische Universität München (TUM)
Germany (DE)
Universitätsklinikum Köln
Germany (DE)
United States (USA) (US)
Technische Universität München (TUM)
Germany (DE)
Universitätsklinikum Köln
Germany (DE)
How to cite
APA:
Thompson, G.J., Riedl, V., Grimmer, T., Drzezga, A., Herman, P., & Hyder, F. (2016). The Whole-Brain "global" Signal from Resting State fMRI as a Potential Biomarker of Quantitative State Changes in Glucose Metabolism. Brain Connectivity, 6(6), 435-447. https://dx.doi.org/10.1089/brain.2015.0394
MLA:
Thompson, Garth J., et al. "The Whole-Brain "global" Signal from Resting State fMRI as a Potential Biomarker of Quantitative State Changes in Glucose Metabolism." Brain Connectivity 6.6 (2016): 435-447.
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