ArticleAging brain2023
Longitudinal change-change associations of cognition with cortical thickness and surface area.
Article in Aging brain, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Brain maps of general cognitive functioning: neuroimaging and neurobiological signatures.Translational psychiatry · 2025Pooled it
- Growth of White Matter Signal Aberrations and Cortical Changes in Men and Women: A 9-Year Multiple-Time-Point Longitudinal MRI Study in Older Adults.Human brain mapping · 2026Article
- Structural brain indicators of cognitive performance in middle and late adulthood: The Human Connectome Project in Aging/Aging Adult Brain Connectome cohort.Neurobiology of aging · 2026Article
- Dissociable contributions of cortical thickness and surface area to cognitive ageing: evidence from multiple longitudinal cohorts.bioRxiv : the preprint server for biology · 2026Article
- Precision estimates of longitudinal brain aging capture unexpected individual differences in one year.Nature communications · 2026Article
- Article
- Cortical mean diffusivity detects early age-related changes and associates with cognition and plasma biomarkers.Brain communications · 2026Article
- Vulnerability to memory decline in aging revealed by a mega-analysis of structural brain change.Nature communications · 2025Article
- Morphometric Measurement of Mean Cortical Curvature: Analysis of Alterations in Cognitive Impairment.Medicina (Kaunas, Lithuania) · 2025Article
- Brain maps of general cognitive function and spatial correlations with neurobiological cortical profiles.bioRxiv : the preprint server for biology · 2024Article
- Sleep-dependent memory consolidation in young and aged brains.Aging brain · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Age-related changes in cortical volumes are well established but relatively few studies probed its constituents, surface area (SA) and thickness (TH). Here we analyzed 10-year, 3-waves longitudinal data from a large sample of healthy individuals (baseline age = 55-80). The findings showed marked age-related changes of SA in frontal, temporal, and parietal association cortices, and Bivariate Latent Change Score models revealed significant SA-associations with changes in speed of processing in both the 5- and 10-year models. The corresponding results for TH revealed a late onset of thinning and significant associations with reduced cognition in the 10-year model only. Taken together, our findings suggest that cortical surface area shrinks and impacts information-processing capacity gradually in aging, whereas cortical thinning only manifests and impacts fluid cognition in advanced aging.
Indexed as
Identifiers
What Socratic 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 Socratic graph.