ArticleJAMA network open2023
Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging.
Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 3 of them syntheses that pooled it.
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Who cites it
116 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Cerebral blood flow, autoregulation and vascular reactivity in normal pressure hydrocephalus: a systematic review.Fluids and barriers of the CNS · 2025Pooled it
- Effect of spaceflight experience on human brain structure, microstructure, and function: systematic review of neuroimaging studies.Brain imaging and behavior · 2024Pooled it
- Incidence of intracranial bleeding in mild traumatic brain injury patients taking oral anticoagulants: a systematic review and meta-analysis.Journal of neurology · 2024Pooled it
- Cognitive and Emotional Effect of a Multi-species Probiotic Containing Lactobacillus rhamnosus and Bifidobacterium lactis in Healthy Older Adults: A Double-Blind Randomized Placebo-Controlled Crossover Trial.Probiotics and antimicrobial proteins · 2025Trial
- Pulmonary and cerebral damage in COVID-19 survivors: is there any association?Annals of medicine · 2026Article
- Advancing the Volumetric Analysis of Ultra-Low-Field Brain MRI Using Image-to-Image Translation.Magnetic resonance in medicine · 2026Article
- Accelerated hippocampal atrophy in APOE ε4 homozygotes and females: Longitudinal findings from the Tohoku Medical Megabank MRI study.Neuroradiology · 2026Article
- Global and Medial Temporal MRI Morphometry in Alzheimer's Disease and Cognitively Normal Adults: A Retrospective Association Study.Diagnostics (Basel, Switzerland) · 2026Article
- The study of epigenetic clocks in former professional contact sports athletes with repetitive head impacts.Journal of neurology, neurosurgery, and psychiatry · 2026Article
- Regional cerebral arterial elasticity is associated with cardiovascular health in cognitively healthy older adults.bioRxiv : the preprint server for biology · 2026Article
- A Comparative Study of Plasma Biomarkers of Neurodegeneration in Rhesus Monkeys (bioRxiv : the preprint server for biology · 2026Article
- Joint trajectories of brain atrophy, white matter hyperintensities and cognition quantify brain maintenance.Nature communications · 2026Article
- Grey matter degeneration during multiple sclerosis is linked to activation of neuronal necroptosis by oxidized phosphatidylcholines.Research square · 2026Article
- The Importance of Studying the Cognitive Neuroscience of Aging Across Cultures.Annals of the New York Academy of Sciences · 2026Review
- Targeting the FOXO4-p53 axis by retro-inverso peptide senolytic agents: a pharmacological strategy to mitigate brain aging and cognitive decline.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- OpenMAP-BrainAge: generalizable and interpretable brain age predictor from MRI.Radiology advances · 2026Article
- Changes in DNA methylation-based aging predicts brain damage and dementia and reflects life-course cardiovascular risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Accelerated Brain Aging in Young Women with Posttraumatic Stress Disorder.Experimental neurobiology · 2026Article
- Ventricular CSF-to-blood water transport kinetics in adult hydrocephalus.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Article
- Hematopoietic Stem Cell Transplant and Brain Volume Changes in Adults With Sickle Cell Disease.Neurology · 2026Article
56 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Characterizing longitudinal patterns of regional brain volume changes in a population with normal cognition at the individual level could improve understanding of the brain aging process and may aid in the prevention of age-related neurodegenerative diseases. Objective: To investigate age-related trajectories of the volumes and volume change rates of brain structures in participants without dementia. Design, Setting, and Participants: This cohort study was conducted from November 1, 2006, to April 30, 2021, at a single academic health-checkup center among 653 individuals who participated in a health screening program with more than 10 years of serial visits. Exposure: Serial magnetic resonance imaging, Mini-Mental State Examination, health checkup. Main Outcomes and Measures: Volumes and volume change rates across brain tissue types and regions. Results: The study sample included 653 healthy control individuals (mean [SD] age at baseline, 55.1 [9.3] years; median age, 55 years [IQR, 47-62 years]; 447 men [69%]), who were followed up annually for up to 15 years (mean [SD], 11.5 [1.8] years; mean [SD] number of scans, 12.1 [1.9]; total visits, 7915). Each brain structure showed characteristic age-dependent volume and atrophy change rates. In particular, the cortical gray matter showed a consistent pattern of volume loss in each brain lobe with aging. The white matter showed an age-related decrease in volume and an accelerated atrophy rate (regression coefficient, -0.016 [95% CI, -0.012 to -0.011]; P < .001). An accelerated age-related volume increase in the cerebrospinal fluid-filled spaces, particularly in the inferior lateral ventricle and the Sylvian fissure, was also observed (ventricle regression coefficient, 0.042 [95% CI, 0.037-0.047]; P < .001; sulcus regression coefficient, 0.021 [95% CI, 0.018-0.023]; P < .001). The temporal lobe atrophy rate accelerated from approximately 70 years of age, preceded by acceleration of atrophy in the hippocampus and amygdala. Conclusions and Relevance: In this cohort study of adults without dementia, age-dependent brain structure volumes and volume change rates in various brain structures were characterized using serial magnetic resonance imaging scans. These findings clarified the normal distributions in the aging brain, which are essential for understanding the process of age-related neurodegenerative diseases.
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