Evidence map›Paper›PMID 41333417›Full record

ArticleResearch square2025

Longitudinal Surface-Based Morphometry Reveals Potential MRI Biomarkers Correlated with Multidimensional Brain Health Measures.

Robyn A Honea, Ankit Patel, William Guiler, Mark D'Esposito, Sandra Bond Chapman, Lori G Cook, Jeffrey S Spence

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Robyn A HoneaUniversity of Kansas Alzheimer's Disease Research Center.
Ankit PatelUniversity of Kansas Alzheimer's Disease Research Center.
William GuilerUniversity of Kansas Alzheimer's Disease Research Center.
Mark D'EspositoUniversity of California, Berkeley.
Sandra Bond ChapmanThe University of Texas at Dallas.
Lori G CookThe University of Texas at Dallas.
Jeffrey S SpenceThe University of Texas at Dallas.

Funding

Data-driven solutions for temporal, spatial, and spatiotemporal dynamic functional connectivityR01MH123610 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2021 to 2025
$3.1M
NIMH NIH HHS R01 MH123610
6 · The paper itself

Abstract

Characterizing longitudinal brain changes linked to brain health requires identifying structural and neuroanatomical biomarkers. This study aimed to discover MRI-based biomarkers for the Brain Health Index (BHI), a multidimensional measure of cognition, emotional well-being, and social connectedness, and assess their feasibility as indicators of brain health improvement. We investigated neuroanatomical correlates of BHI using longitudinal surface-based morphometry in 210 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 predicted increased FD 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.

Identifiers

PMID41333417
PMCPMC12668122

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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.