ArticleNeuroImage. Clinical2018
Metabolic brain networks in aging and preclinical Alzheimer's disease.
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled 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
- Metabolism-weighted brain connectome reveals synaptic integration and vulnerability to neurodegeneration.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Topological disruptions of metabolic brain networks in early-stage chronic kidney disease.BMC medical imaging · 2026Article
- Stable brain PET metabolic networks using a multiple sampling scheme.Network neuroscience (Cambridge, Mass.) · 2025Article
- Individual metabolic brain network abnormalities associated with drug-resistant mTLE vary in surgical outcomes.Frontiers in neurology · 2024Article
- Cross-modality comparison between structural and metabolic networks in individual brain based on the Jensen-Shannon divergence method: a healthy Chinese population study.Brain structure & function · 2023Article
- The characteristics of glucose metabolism and functional connectivity in posterior default network during nondemented aging: relationship with executive function performance.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias.Frontiers in aging neuroscience · 2023Article
- Multiplex core of the human brain using structural, functional and metabolic connectivity derived from hybrid PET-MR imaging.Frontiers in neuroimaging · 2023Article
- Individualized network analysis: A novel approach to investigate tau PET using graph theory in the Alzheimer's disease continuum.Frontiers in neuroscience · 2023Article
- Brain Network Organization and Aging.Advances in experimental medicine and biology · 2023Article
- Introducing a gatekeeping system for amyloid status assessment in mild cognitive impairment.European journal of nuclear medicine and molecular imaging · 2022Article
- In Alzheimer-prone brain regions, metabolism and risk-gene expression are strongly correlated.Brain communications · 2022Article
- The default mode network and cognition in Parkinson's disease: A multimodal resting-state network approach.Human brain mapping · 2021Article
- Brain Molecular Connectivity in Neurodegenerative Conditions.Brain sciences · 2021Review
- Metabolic and amyloid PET network reorganization in Alzheimer's disease: differential patterns and partial volume effects.Brain imaging and behavior · 2021Article
- The Effect of Aging on Brain Glucose Metabolic Connectivity Revealed by [Frontiers in aging neuroscience · 2021Article
- Accelerated loss of hypoxia response in zebrafish with familial Alzheimer's disease-like mutation of presenilin 1.Human molecular genetics · 2020Article
- Altered Brain Adiponectin Receptor Expression in the 5XFAD Mouse Model of Alzheimer's Disease.Pharmaceuticals (Basel, Switzerland) · 2020Article
- Mediterranean Diet Nutrients to Turn the Tide against Insulin Resistance and Related Diseases.Nutrients · 2020Review
Corrections and comments
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5 authors.
Funding
Abstract
Metabolic brain networks can provide insight into the network processes underlying progression from healthy aging to Alzheimer's disease. We explore the effect of two Alzheimer's disease risk factors, amyloid-β and ApoE ε4 genotype, on metabolic brain networks in cognitively normal older adults (N = 64, ages 69-89) compared to young adults (N = 17, ages 20-30) and patients with Alzheimer's disease (N = 22, ages 69-89). Subjects underwent MRI and PET imaging of metabolism (FDG) and amyloid-β (PIB). Normal older adults were divided into four subgroups based on amyloid-β and ApoE genotype. Metabolic brain networks were constructed cross-sectionally by computing pairwise correlations of metabolism across subjects within each group for 80 regions of interest. We found widespread elevated metabolic correlations and desegregation of metabolic brain networks in normal aging compared to youth and Alzheimer's disease, suggesting that normal aging leads to widespread loss of independent metabolic function across the brain. Amyloid-β and the combination of ApoE ε4 led to less extensive elevated metabolic correlations compared to other normal older adults, as well as a metabolic brain network more similar to youth and Alzheimer's disease. This could reflect early progression towards Alzheimer's disease in these individuals. Altered metabolic brain networks of older adults and those at the highest risk for progression to Alzheimer's disease open up novel lines of inquiry into the metabolic and network processes that underlie normal aging and Alzheimer's disease.
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