Relationship between simultaneously acquired resting-state regional cerebral glucose metabolism and functional MRI: A PET/MR hybrid scanner study

Aiello, Marco; Salvatore, Elena; Cachia, Arnaud; Pappatà, Sabina; Cavaliere, Carlo; Prinster, Anna; Nicolai, Emanuele; Salvatore, Marco; Baron, Jean‐Claude; Quarantelli, Mario

doi:10.1016/j.neuroimage.2015.03.017

Cited by 190 publications

(191 citation statements)

References 51 publications

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“…First, metrics based on per-voxel signal variance/power, including frequency-band-limited measures such as the amplitude of low-frequency fluctuations (ALFF) and fractional ALFF (FALFF), hypothetically measure inherent levels of the spontaneous local neural activity that is generating the networks (Zang et al, 2007;Zou et al, 2008). FALFF and ALFF show a state change between the eyes open and eyes closed states ( Jao et al, 2013;Yan et al, 2009) and correlate well with simultaneously recorded maps of glucose metabolism (Aiello et al, 2015). Second, to hypothetically measure hubs of communication across the brain, connections between voxels can be quantified to produce maps of the density of connections.…”

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confidence: 99%

“…Methods for this include regional homogeneity, degree of centrality and functional connectivity density (FCD) (Buckner et al, 2009;Tomasi and Volkow, 2010;Zang et al, 2004). Like FALFF, regional homogeneity and FCD correlate well with glucose metabolism (Aiello et al, 2015;Tomasi et al, 2013). Third is the impact of BOLD time-series signal fluctuations common to all voxels of the brain, also called the wholebrain signal or global signal.…”

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confidence: 99%

“…Previous studies of these potential biomarkers and metabolism have examined the spatial similarity between the derived R-fMRI metrics and glucose metabolism by using spatial correlation within a single brain state (Aiello et al, 2015;Tomasi et al, 2013) and comparing specific networks (Di et al, 2012;Wehrl et al, 2013). This study innovates on their work in two ways.…”

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The Whole-Brain “Global” Signal from Resting State fMRI as a Potential Biomarker of Quantitative State Changes in Glucose Metabolism

et al. 2016

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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.

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The Whole-Brain “Global” Signal from Resting State fMRI as a Potential Biomarker of Quantitative State Changes in Glucose Metabolism

et al. 2016

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“…All these approaches do not intend to give an absolute estimate of the metabolic activity, like only FDG‐PET can offer, but try to estimate the relative levels of activity between the different regions of the brain, reaching for certain approaches high correlations between the two acquisition techniques when the correlation is limited to gray matter (Aiello et al. 2015). To our knowledge all the approaches presented in the literature use univariate techniques to handle the BOLD signal and build scalar maps.…”

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Correlation between resting state fMRI total neuronal activity and PET metabolism in healthy controls and patients with disorders of consciousness

et al. 2015

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IntroductionThe mildly invasive 18F‐fluorodeoxyglucose positron emission tomography (FDG‐PET) is a well‐established imaging technique to measure ‘resting state’ cerebral metabolism. This technique made it possible to assess changes in metabolic activity in clinical applications, such as the study of severe brain injury and disorders of consciousness.ObjectiveWe assessed the possibility of creating functional MRI activity maps, which could estimate the relative levels of activity in FDG‐PET cerebral metabolic maps. If no metabolic absolute measures can be extracted, our approach may still be of clinical use in centers without access to FDG‐PET. It also overcomes the problem of recognizing individual networks of independent component selection in functional magnetic resonance imaging (fMRI) resting state analysis.MethodsWe extracted resting state fMRI functional connectivity maps using independent component analysis and combined only components of neuronal origin. To assess neuronality of components a classification based on support vector machine (SVM) was used. We compared the generated maps with the FDG‐PET maps in 16 healthy controls, 11 vegetative state/unresponsive wakefulness syndrome patients and four locked‐in patients.ResultsThe results show a significant similarity with ρ = 0.75 ± 0.05 for healthy controls and ρ = 0.58 ± 0.09 for vegetative state/unresponsive wakefulness syndrome patients between the FDG‐PET and the fMRI based maps. FDG‐PET, fMRI neuronal maps, and the conjunction analysis show decreases in frontoparietal and medial regions in vegetative patients with respect to controls. Subsequent analysis in locked‐in syndrome patients produced also consistent maps with healthy controls.ConclusionsThe constructed resting state fMRI functional connectivity map points toward the possibility for fMRI resting state to estimate relative levels of activity in a metabolic map.

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“…As the clinical and conceptually driven application of PET imaging continues to build on rapid advancements in tracer-development (Sabri, Seibyl, Rowe, & Barthel, 2015) and the integration of simultaneous MR-imaging (Aiello et al, 2015;Atzil et al, 2017), new challenges and concerns arise as research extends into more complex patient populations. For example, using PET in a post-partum cohort is a rather recent development and requires careful consideration of additional factors, such as the potential radiotracer effect on breastmilk.…”

Section: Challenges In Researchmentioning

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Using positron emission tomography to investigate hormone-mediated neurochemical changes across the female lifespan: implications for depression

Zsido

Villringer

Sacher

2017

International Review of Psychiatry

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Ovarian hormones, particularly oestrogen and progesterone, undergo major fluctuations across the female lifespan. These hormone transition periods, such as the transition from pregnancy to postpartum, as well as the transition into menopause (perimenopause), are also known to be times of elevated susceptibility to depression. This study reviews how these transition periods likely influence neurochemical changes in the brain that result in disease vulnerability. While there are known associations between oestrogen/progesterone and different monoaminergic systems, the interactions and their potential implications for mood disorders are relatively unknown. Positron Emission Tomography (PET) allows for the in-vivo quantification of such neurochemical changes, and, thus, can provide valuable insight into how both subtle and dramatic shifts in hormones contribute to the elevated rates of depression during pre-menstrual, post-partum, and perimenopausal periods in a woman's life. As one better understands how to address the challenges of PET studies involving highly vulnerable populations, such as women who have recently given birth, one will gain the insight necessary to design and individualize treatment and therapy. Understanding the precise time-line in younger women when dramatic fluctuations in the hormonal milieu may contribute to brain changes may present a powerful opportunity to intervene before a vulnerable state develops into a diseased state in later life. ARTICLE HISTORY

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Relationship between simultaneously acquired resting-state regional cerebral glucose metabolism and functional MRI: A PET/MR hybrid scanner study

Cited by 190 publications

References 51 publications

The Whole-Brain “Global” Signal from Resting State fMRI as a Potential Biomarker of Quantitative State Changes in Glucose Metabolism

The Whole-Brain “Global” Signal from Resting State fMRI as a Potential Biomarker of Quantitative State Changes in Glucose Metabolism

Correlation between resting state fMRI total neuronal activity and PET metabolism in healthy controls and patients with disorders of consciousness

Using positron emission tomography to investigate hormone-mediated neurochemical changes across the female lifespan: implications for depression

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