ArticleJAMA network open2020
Association of Epigenetic Metrics of Biological Age With Cortical Thickness.
Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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.
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Who cites it
26 citing papers in PubMed, 38 citations in OpenAlex.
- Article
- Magnetoencephalography in human neuroscience research: planning, piloting, implementation and quality assurance.Nature protocols · 2026Review
- Iron status modulates immune cell proportions to drive epigenetic age acceleration: A 2-step Mendelian randomization study.Medicine · 2026Article
- Adolescent White Matter Maturation Mediates Epigenetic Associations With Cognitive Development.Developmental neurobiology · 2026Article
- Association of epigenetic aging with plasma biomarkers of amyloid, tau, neurodegeneration, and neuroinflammation in Hispanic/Latino adults.Clinical epigenetics · 2025Article
- Prenatal Tobacco and Alcohol Exposure and Cortical Change Among Youths.JAMA network open · 2025Article
- Methylation and algorithms in biological aging: a scoping review.Frontiers in aging · 2025Review
- Intermediate endophenotypes and epigenetic mechanisms of psychiatric disorders.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Adults with down syndrome exhibit altered somatosensory cortical inhibition.NeuroImage. Clinical · 2025Article
- Microglia and macrophages alterations in the CNS during acute SIV infection: A single-cell analysis in rhesus macaques.PLoS pathogens · 2024Article
- Epigenetics in Alzheimer's Disease: A Critical Overview.International journal of molecular sciences · 2024Review
- Microglia and macrophages alterations in the CNS during acute SIV infection: a single-cell analysis in rhesus macaques.bioRxiv : the preprint server for biology · 2024Article
- A blood biomarker of the pace of aging is associated with brain structure: replication across three cohorts.Neurobiology of aging · 2024Article
- Causal relationship between multiparameter brain MRI phenotypes and age: evidence from Mendelian randomization.Brain communications · 2024Article
- Co-methylation networks associated with cognition and structural brain development during adolescence.Frontiers in genetics · 2024Article
- Understanding the health effects of caregiving stress: New directions in molecular aging.Ageing research reviews · 2023Review
- A blood biomarker of accelerated aging in the body associates with worse structural integrity in the brain: replication across three cohorts.medRxiv : the preprint server for health sciences · 2023Article
- Epigenetic associations with adolescent grey matter maturation and cognitive development.Frontiers in genetics · 2023Article
- Association of Physical Inactivity with MRI Markers of Brain Aging: Assessing Mediation by Cardiometabolic and Epigenetic Factors.Journal of Alzheimer's disease : JAD · 2023Article
- Cellular senescence in brain aging and cognitive decline.Frontiers in aging neuroscience · 2023Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Importance: Magnetic resonance imaging (MRI) studies of aging adults have shown substantial intersubject variability across various brain metrics, and some of this variability is likely attributable to chronological age being an imprecise measure of age-related change. Accurately quantifying one's biological age could allow better quantification of healthy and pathological changes in the aging brain. Objective: To investigate the association of DNA methylation (DNAm)-based biological age with cortical thickness and to assess whether biological age acceleration compared with chronological age captures unique variance in cortical thinning. Design, Setting, and Participants: This cross-sectional study used high-resolution structural brain MRI data collected from a sample of healthy aging adults who were participating in a larger ongoing neuroimaging study that began in May 2014. This population-based study accrued participants from the greater Omaha, Nebraska, metropolitan area. One hundred sixty healthy adults were contacted for the MRI component, 82 of whom participated in both DNAm and MRI study components. Data analysis was performed from March to June 2019. Main Outcomes and Measures: Vertexwise cortical thickness, DNAm-based biological age, and biological age acceleration compared with chronological age were measured. A pair of multivariable regression models were computed in which cortical thickness was regressed on DNAm-based biological age, controlling for sex in the first model and also controlling for chronological age in the second model. Results: Seventy-nine adult participants (38 women; mean [SD] age, 43.82 [14.50] years; age range, 22-72 years) were included in all final analyses. Advancing biological age was correlated with cortical thinning across frontal, superior temporal, inferior parietal, and medial occipital regions. In addition, biological age acceleration relative to chronological age was associated with cortical thinning in orbitofrontal, superior and inferior temporal, somatosensory, parahippocampal, and fusiform regions. Specifically, for every 1 year of biological age acceleration, cortical thickness would be expected to decrease by 0.024 mm (95% CI, -0.04 to -0.01 mm) in the left orbitofrontal cortex (partial r, -0.34; P = .002), 0.014 mm (95% CI, -0.02 to -0.01 mm) in the left superior temporal gyrus (partial r, -0.36; P = .001), 0.015 mm (95% CI, -0.02 to -0.01 mm) in the left fusiform gyrus (partial r, -0.38; P = .001), 0.015 mm (95% CI, -0.02 to -0.01 mm) in the right fusiform gyrus (partial r, -0.43; P < .001), 0.019 mm (95% CI, -0.03 to -0.01 mm) in the right inferior temporal sulcus (partial r, -0.34; P = .002), and 0.011 mm (95% CI, -0.02 to -0.01 mm) in the right primary somatosensory cortex (partial r, -0.37; P = .001). Conclusions and Relevance: To our knowledge, this is the first study to investigate vertexwise cortical thickness in relation to DNAm-based biological age, and the findings suggest that this metric of biological age may yield additional insight on healthy and pathological cortical aging compared with standard measures of chronological age alone.
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