ArticleCerebral cortex (New York, N.Y. : 1991)2023
Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships.
Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Large-Scale Brain Network Connectivity Mediates the Association Between Metabolic Risk Factors and Cognition: An fMRI Study of the Human Connectome Project.International journal of endocrinology and metabolism · 2026Article
- Unveiling Functional-Metabolic Synergy in the Healthy Brain: Multivariate Integration of Dynamic [Human brain mapping · 2026Article
- 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
- 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
- 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
- Cerebral glucose metabolism: the potential missing link in autism research-a literature review and meta-analytic synthesis.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Brain metabolic-functional (de)coupling from health to glioma dysfunction.Communications biology · 2025Article
- Functional PET for mapping metabolic dynamics in Parkinson's disease.Scientific reports · 2025Article
- Network spreading and local biological vulnerability in amyotrophic lateral sclerosis.Communications biology · 2025Article
- Benchmarking methods for mapping functional connectivity in the brain.Nature methods · 2025Article
- Persistent dysfunctions of brain metabolic connectivity in long-covid with cognitive symptoms.European journal of nuclear medicine and molecular imaging · 2025Article
- Tale of Two n-Backs: Diverging Associations of Dorsolateral Prefrontal Cortex Activation With n-Back Task Performance.Journal of neuroscience research · 2025Article
- Metabolic connectivity has greater predictive utility for age and cognition than functional connectivity.Brain communications · 2025Article
- Lactate flux dysfunction in patients with bipolar disorder: preliminary insights from ultra-high field 7T MRSI during task and rest.Frontiers in neuroscience · 2025Article
- Dialogue mechanisms between astrocytic and neuronal networks: A whole-brain modelling approach.PLoS computational biology · 2025Article
- Reconfiguration of metabolic connectivity in ageing.Communications biology · 2024Article
- Mechanisms underlying delirium in patients with critical illness.Frontiers in aging neuroscience · 2024Review
- Integrating multimodal and multiscale connectivity blueprints of the human cerebral cortex in health and disease.PLoS biology · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A major challenge in current cognitive neuroscience is how functional brain connectivity gives rise to human cognition. Functional magnetic resonance imaging (fMRI) describes brain connectivity based on cerebral oxygenation dynamics (hemodynamic connectivity), whereas [18F]-fluorodeoxyglucose functional positron emission tomography (FDG-fPET) describes brain connectivity based on cerebral glucose uptake (metabolic connectivity), each providing a unique characterization of the human brain. How these 2 modalities differ in their contribution to cognition and behavior is unclear. We used simultaneous resting-state FDG-fPET/fMRI to investigate how hemodynamic connectivity and metabolic connectivity relate to cognitive function by applying partial least squares analyses. Results revealed that although for both modalities the frontoparietal anatomical subdivisions related the strongest to cognition, using hemodynamic measures this network expressed executive functioning, episodic memory, and depression, whereas for metabolic measures this network exclusively expressed executive functioning. These findings demonstrate the unique advantages that simultaneous FDG-PET/fMRI has to provide a comprehensive understanding of the neural mechanisms that underpin cognition and highlights the importance of multimodality imaging in cognitive neuroscience research.
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