ArticleEuropean radiology2023
Aging-related volume changes in the brain and cerebrospinal fluid using artificial intelligence-automated segmentation.
Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 50 citations in OpenAlex.
- No effect of anodal high-definition transcranial direct current stimulation during motor sequence learning in older people.GeroScience · 2026Trial
- Deep learning-based cerebellar segmentation on T2-weighted fluid-attenuated inversion recovery magnetic resonance imaging for detecting cerebellar hypoplasia/atrophy in infants.Pediatric radiology · 2026Article
- Multiscale brain development across the human lifespan.Communications biology · 2026Review
- Impact of Invasive Intracranial Pressure Monitoring on Outcomes in Older Adults with Severe Traumatic Brain Injury: A Systematic Review and Meta-Analysis.Neurocritical care · 2026Article
- T2-Weighted T1 Mapping and Automated Segmentation of CSF: Assessment of Solute Gradients in the Healthy Brain.Journal of magnetic resonance imaging : JMRI · 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
- Brain anatomy in major hormonal transition phases: Longitudinal and cross-sectional volume associations with menarche and menopause.bioRxiv : the preprint server for biology · 2026Article
- Predicting brain volumes from anthropometric and demographic features: insights from UK biobank neuroimaging data.Brain structure & function · 2026Article
- Comparison of Three Automated Measurements of Ventricular Volumes of the Brain.Journal of imaging informatics in medicine · 2026Article
- Cerebrovascular-CSF coupling measured by broadband near-infrared spectroscopy as a physiological marker of brain aging and Alzheimer's disease.Frontiers in aging neuroscience · 2026Article
- Evaluating structural connectivity disruption after stroke: individual tractography or the use of a model-based approach?NeuroImage. Clinical · 2026Article
- An atlas of age- and sex-related volumetric alterations of grey matter in subcortical regions: The case of 46,111 UK Biobank participants.Mechanisms of ageing and development · 2025Article
- Regional Brain Volume Changes Across Adulthood: A Multi-Cohort Study Using MRI Data.Brain sciences · 2025Article
- Automated detection of severe cerebral edema using explainable deep transfer learning after hypoxic ischemic brain injury.Resuscitation · 2025Article
- Heart volume on health checkup CT scans inversely correlates with pulse rate: data-driven analysis using deep-learning segmentation.Japanese journal of radiology · 2025Article
- Post-traumatic hydrocephalus after decompressive craniectomy: a multidimensional analysis of clinical, radiological, and surgical risk factors.Neurosurgical review · 2025Article
- Enhancing Radiologist Productivity with Artificial Intelligence in Magnetic Resonance Imaging (MRI): A Narrative Review.Diagnostics (Basel, Switzerland) · 2025Review
- Plasma protein risk scores for mild cognitive impairment and Alzheimer's disease in the Framingham heart study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Abnormal choroid plexus, hippocampus, and lateral ventricles volumes as markers of treatment-resistant major depressive disorder.Psychiatry and clinical neurosciences · 2025Article
- Minimally invasive approaches using virtual reality planning in elective aneurysm surgery.Frontiers in surgery · 2025Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
objectivesTo verify the reliability of the volumes automatically segmented using a new artificial intelligence (AI)-based application and evaluate changes in the brain and CSF volume with healthy aging.
methodsThe intracranial spaces were automatically segmented in the 21 brain subregions and 5 CSF subregions using the AI-based application on the 3D T1-weighted images in healthy volunteers aged > 20 years. Additionally, the automatically segmented volumes of the total ventricles and subarachnoid spaces were compared with the manually segmented volumes of those extracted from 3D T2-weighted images using the intra-class correlation and Bland-Altman analysis.
resultsIn this study, 133 healthy volunteers aged 21-92 years were included. The mean intra-class correlations between the automatically and manually segmented volumes of the total ventricles and subarachnoid spaces were 0.986 and 0.882, respectively. The increase in the CSF volume was estimated to be approximately 30 mL (2%) per decade from 265 mL (18.7%) in the 20s to 488 mL (33.7%) in ages above 80 years; however, the increase in the volume of total ventricles was approximately 20 mL (< 2%) until the 60s and increased in ages above 60 years.
conclusionsThis study confirmed the reliability of the CSF volumes using the AI-based auto-segmentation application. The intracranial CSF volume increased linearly because of the brain volume reduction with aging; however, the ventricular volume did not change until the age of 60 years and above and then gradually increased. This finding could help elucidate the pathogenesis of chronic hydrocephalus in adults. KEY POINTS: • The brain and CSF spaces were automatically segmented using an artificial intelligence-based application. • The total subarachnoid spaces increased linearly with aging, whereas the total ventricle volume was around 20 mL (< 2%) until the 60s and increased in ages above 60 years. • The cortical gray matter gradually decreases with aging, whereas the subcortical gray matter maintains its volume, and the cerebral white matter increases slightly until the 40s and begins to decrease from the 50s.
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