ArticleNeuroImage2014
Dynamic functional imaging of brain glucose utilization using fPET-FDG.
Article in NeuroImage, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
97 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Lower brain glucose metabolism in normal ageing is predominantly frontal and temporal: A systematic review and pooled effect size and activation likelihood estimates meta-analyses.Human brain mapping · 2023Pooled it
- The older adult brain is less modular, more integrated, and less efficient at rest: A systematic review of large-scale resting-state functional brain networks in aging.Psychophysiology · 2023Pooled it
- Glucose sparing by glycogenolysis (GSG) determines the relationship between brain metabolism and neurotransmission.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Pooled it
- Acute effects of selective serotonin reuptake inhibitors on cerebral glucose metabolism and blood flow.Translational psychiatry · 2026Trial
- Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET.GigaScience · 2022Trial
- Metabolite concentration changes associated with positive and negative BOLD responses in the human visual cortex: A functional MRS study at 7 Tesla.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020Trial
- A review of FDG-PET biomarker analysis methods in Parkinson's disease.Journal of Parkinson's disease · 2026Review
- Individual-level metabolic connectivity captures cortical morphology and their coupling strengthens in the ageing brain.European journal of nuclear medicine and molecular imaging · 2026Article
- Human cerebral cortex organization characterized by functional PET-FDG "Metabolic Connectivity".European journal of nuclear medicine and molecular imaging · 2026Article
- Performance of detector modules designed for the NeuroSphere brain PET system.Medical physics · 2026Article
- Task-evoked deactivations: dissociation between BOLD fMRI and FDG.bioRxiv : the preprint server for biology · 2026Article
- High-temporal resolution metabolic connectivity resolved by component-based noise correction.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Article
- Individual-level metabolic connectivity captures cortical morphology and their coupling strengthens with age.bioRxiv : the preprint server for biology · 2026Article
- Human Cerebral Cortex Organization Characterized by Functional PET-FDG "Metabolic Connectivity".bioRxiv : the preprint server for biology · 2026Article
- An Evaluation Study of PET Image Quality Factors in Brain Tumor Diagnosis.Tomography (Ann Arbor, Mich.) · 2026Article
- Pharmacological MRI: Utility in Understanding Drug Mechanisms in Psychiatric Disorders.Journal of magnetic resonance imaging : JMRI · 2026Review
- Brain glucodynamic variability is an essential feature of the metabolism-cognition relationship.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Energetic implications of fMRI-based nodal complex network metrics: a complex picture unfolds across diverse brain states.bioRxiv : the preprint server for biology · 2026Article
- Mapping dynamics in neuronal activation and molecular connectivity with functional PET.Frontiers in neuroscience · 2026Review
- Functional PET for mapping metabolic dynamics in Parkinson's disease.Scientific reports · 2025Article
37 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Glucose is the principal source of energy for the brain and yet the dynamic response of glucose utilization to changes in brain activity is still not fully understood. Positron emission tomography (PET) allows quantitative measurement of glucose metabolism using 2-[(18)F]-fluorodeoxyglucose (FDG). However, FDG PET in its current form provides an integral (or average) of glucose consumption over tens of minutes and lacks the temporal information to capture physiological alterations associated with changes in brain activity induced by tasks or drug challenges. Traditionally, changes in glucose utilization are inferred by comparing two separate scans, which significantly limits the utility of the method. We report a novel method to track changes in FDG metabolism dynamically, with higher temporal resolution than exists to date and within a single session. Using a constant infusion of FDG, we demonstrate that our technique (termed fPET-FDG) can be used in an analysis pipeline similar to fMRI to define within-session differential metabolic responses. We use visual stimulation to demonstrate the feasibility of this method. This new method has a great potential to be used in research protocols and clinical settings since fPET-FDG imaging can be performed with most PET scanners and data acquisition and analysis are straightforward. fPET-FDG is a highly complementary technique to MRI and provides a rich new way to observe functional changes in brain metabolism.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.