Metabolic brain networks in aging and preclinical Alzheimer's disease
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 a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2018-01-01
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| Series: | NeuroImage: Clinical |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221315821730342X |
| _version_ | 1818419101766254592 |
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| author | Katelyn L. Arnemann Franziska Stöber Sharada Narayan Gil D. Rabinovici William J. Jagust |
| author_facet | Katelyn L. Arnemann Franziska Stöber Sharada Narayan Gil D. Rabinovici William J. Jagust |
| author_sort | Katelyn L. Arnemann |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T12:33:13Z |
| format | Article |
| id | doaj.art-a77b214b473e48edb109c67739856bcd |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-12-14T12:33:13Z |
| publishDate | 2018-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-a77b214b473e48edb109c67739856bcd2022-12-21T23:01:07ZengElsevierNeuroImage: Clinical2213-15822018-01-0117987999Metabolic brain networks in aging and preclinical Alzheimer's diseaseKatelyn L. Arnemann0Franziska Stöber1Sharada Narayan2Gil D. Rabinovici3William J. Jagust4Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, United States; Corresponding author at: Helen Wills Neuroscience Institute, 132 Barker Hall, MC #3190, University of California, Berkeley, CA 94720, United States.Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, United States; Leibniz Institute for Neurobiology, Magdeburg, Germany; Clinic for Radiology and Nuclear Medicine, Otto-von-Guericke University, Magdeburg, GermanyHelen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, United StatesHelen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, United States; Memory and Aging Center, University of California San Francisco, San Francisco, CA, United StatesHelen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, United States; Division of Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, United StatesMetabolic 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.http://www.sciencedirect.com/science/article/pii/S221315821730342X |
| spellingShingle | Katelyn L. Arnemann Franziska Stöber Sharada Narayan Gil D. Rabinovici William J. Jagust Metabolic brain networks in aging and preclinical Alzheimer's disease NeuroImage: Clinical |
| title | Metabolic brain networks in aging and preclinical Alzheimer's disease |
| title_full | Metabolic brain networks in aging and preclinical Alzheimer's disease |
| title_fullStr | Metabolic brain networks in aging and preclinical Alzheimer's disease |
| title_full_unstemmed | Metabolic brain networks in aging and preclinical Alzheimer's disease |
| title_short | Metabolic brain networks in aging and preclinical Alzheimer's disease |
| title_sort | metabolic brain networks in aging and preclinical alzheimer s disease |
| url | http://www.sciencedirect.com/science/article/pii/S221315821730342X |
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