ArticleHuman brain mapping2017
Higher serum cholesterol is associated with intensified age-related neural network decoupling and cognitive decline in early- to mid-life.
Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- 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
- Functional brain network connectivity patterns associated with midlife metabolic syndrome and cognitive vulnerabilities.Frontiers in aging neuroscience · 2026Article
- Cholesterol's hidden impact: the nonlinear link between remnant cholesterol (RC) and phenotypic age acceleration (PhenoAgeAccel).Biogerontology · 2025Article
- Metabolic syndrome is associated with reduced default mode network functional connectivity in young post-9/11 Veterans.Brain imaging and behavior · 2024Article
- Article
- Impact of sex and serum lipids interaction on working memory: A large-scale brain networks study.Brain and behavior · 2023Article
- Association of Lifestyle Activities with Functional Brain Connectivity and Relationship to Cognitive Decline among Older Adults.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Blood pressure, executive function, and network connectivity in middle-aged adults at risk of dementia in late life.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Large-Scale Internetwork Functional Connectivity Mediates the Relationship between Serum Triglyceride and Working Memory in Young Adulthood.Neural plasticity · 2020Article
- Cerebral Arterial Pulsatility and Global White Matter Microstructure Impact Spatial Working Memory in Older Adults With and Without Cardiovascular Risk Factors.Frontiers in aging neuroscience · 2020Article
- Disability in multiple sclerosis is associated with age and inflammatory, metabolic and oxidative/nitrosative stress biomarkers: results of multivariate and machine learning procedures.Metabolic brain disease · 2019Article
- Linking genes, circuits, and behavior: network connectivity as a novel endophenotype of externalizing.Psychological medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Mounting evidence indicates that serum cholesterol and other risk factors for cardiovascular disease intensify normative trajectories of age-related cognitive decline. However, the neural mechanisms by which this occurs remain largely unknown. To understand the impact of cholesterol on brain networks, we applied graph theory to resting-state fMRI in a large sample of early- to mid-life Veterans (N = 206, Mean
Indexed as
Identifiers
What OpenQuestion holds
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.