SynthesisNeuroinformatics2021
Cross-Sectional Volumes and Trajectories of the Human Brain, Gray Matter, White Matter and Cerebrospinal Fluid in 9473 Typically Aging Adults.
Synthesis in Neuroinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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Who cites it
19 citing papers in PubMed, 23 citations in OpenAlex.
- Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026Review
- An Investigation of the Correlation Between Total Intracranial Volume and Body Mass Index.Saudi medical journal · 2026Article
- Predicting brain volumes from anthropometric and demographic features: insights from UK biobank neuroimaging data.Brain structure & function · 2026Article
- Article
- Beyond scaling: how brains reorganize to support higher intelligence.Frontiers in systems neuroscience · 2026Article
- Enhancing brain age estimation with structural MRI and synthesized cerebral blood volume maps.Brain communications · 2026Article
- Imaging markers of neuroinflammation in aging and Alzheimer's disease and related dementia: A comprehensive review.Neuroscience and biobehavioral reviews · 2025Review
- Deep learning to quantify the pace of brain aging in relation to neurocognitive changes.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Hearing Function Moderates Age-Related Differences in Brain Morphometry in the HCP Aging Cohort.Human brain mapping · 2024Article
- Acceleration of Brain Atrophy and Progression From Normal Cognition to Mild Cognitive Impairment.JAMA network open · 2024Article
- Hearing function moderates age-related changes in brain morphometry in the HCP Aging cohort.bioRxiv : the preprint server for biology · 2024Article
- Microglial Transforming Growth Factor-β Signaling in Alzheimer's Disease.International journal of molecular sciences · 2024Review
- Establishment of Age- and Sex-Specific Reference Cerebral Ventricle Volumes.World neurosurgery · 2023Article
- Sex-specific relationships between obesity, physical activity, and gray and white matter volume in cognitively unimpaired older adults.GeroScience · 2023Article
- Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- A Comparison of Global Brain Volumetrics Obtained from CT versus MRI Using 2 Publicly Available Software Packages.AJNR. American journal of neuroradiology · 2022Article
- The Aged Striatum: Evidence of Molecular and Structural Changes Using a Longitudinal Multimodal Approach in Mice.Frontiers in aging neuroscience · 2022Article
- Brain aging mechanisms with mechanical manifestations.Mechanisms of ageing and development · 2021Review
- The Indigenous South American Tsimane Exhibit Relatively Modest Decrease in Brain Volume With Age Despite High Systemic Inflammation.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Accurate knowledge of adult human brain volume (BV) is critical for studies of aging- and disease-related brain alterations, and for monitoring the trajectories of neural and cognitive functions in conditions like Alzheimer's disease and traumatic brain injury. This scoping meta-analysis aggregates normative reference values for BV and three related volumetrics-gray matter volume (GMV), white matter volume (WMV) and cerebrospinal fluid volume (CSFV)-from typically-aging adults studied cross-sectionally using magnetic resonance imaging (MRI). Drawing from an aggregate sample of 9473 adults, this study provides (A) regression coefficients β describing the age-dependent trajectories of volumetric measures by sex within the range from 20 to 70 years based on both linear and quadratic models, and (B) average values for BV, GMV, WMV and CSFV at the representative ages of 20 (young age), 45 (middle age) and 70 (old age). The results provided synthesize ~20 years of brain volumetrics research and allow one to estimate BV at any age between 20 and 70. Importantly, however, such estimates should be used and interpreted with caution because they depend on MRI hardware specifications (e.g. scanner manufacturer, magnetic field strength), data acquisition parameters (e.g. spatial resolution, weighting), and brain segmentation algorithms. Guidelines are proposed to facilitate future meta- and mega-analyses of brain volumetrics.
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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.