ArticleBrain imaging and behavior2026
Longitudinal surface-based morphometry reveals potential MRI biomarkers correlated with multidimensional brain health measures.
Article in Brain imaging and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Measuring and increasing the brain health span across adulthood: a public health imperative.Scientific reports · 2026Trial
Corrections and comments
- Update of
Authors and funding
7 authors.
Funding
Abstract
Characterizing longitudinal brain changes linked to brain health requires identifying structural and neuroanatomical biomarkers. This study aimed to identify MRI-based neuroanatomical correlates associated with longitudinal change in the BrainHealth Index (BHI), a multidimensional measure of cognition, emotional well-being, and social connectedness, and explore their potential as surrogate markers of brain health trajectories in a naturalistic cohort. We investigated neuroanatomical correlates of BHI using longitudinal surface-based morphometry in 190 healthy adults (aged 20-70). We hypothesized that baseline brain morphology would predict BHI performance and that longitudinal BHI changes would correlate with morphometric changes. Participants underwent up to five MRI scans over four years. Surface-based analyses quantified changes in cortical volume, thickness, sulcal depth (SD), gyrification index (GI), and fractal dimension (FD). Vertex-wise regressions tested associations between baseline BHI and morphometric changes, and between longitudinal BHI changes and morphometric features, controlling for age, sex, education, and scan interval. In males, baseline BHI was associated with increased FD over time in the left inferior parietal cortex. In the whole group, BHI gains correlated with increased GI in the left insula and posterior cingulate. In females, BHI improvements were linked to greater SD in the left precuneus, middle temporal, and right cingulate gyri. A sex-specific interaction showed BHI gains in males associated with increased GI in the left insula and temporal cortices. These findings highlight FD, GI, and SD as potential MRI biomarkers for tracking changes in brain health, revealing sex-specific neuroanatomical associations with BHI improvements in regions such as the insula and precuneus.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.