Evidence map›Paper›PMID 41852521›Full record

ArticleClinical and translational neuroscience2026

Neuroimaging Correlates of the NIH Toolbox Cognition and Trail Making Tests: Normative Benchmarks in Healthy Aging.

Cuiping Yuan, Hector Acosta-Rodriguez, Nahla M H Elsaid, Clara F Weber, Pratheek Bobba, Anh T Tran, Ajay Malhotra, Seyedmehdi Payabvash

Abstract read
In one paragraph

Article in Clinical and translational neuroscience, 2026. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Cuiping YuanDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, China.
Hector Acosta-RodriguezDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA.ORCID 0009-0000-0001-5673
Nahla M H ElsaidDeveloping Brain Institute, Children's National, Washington, DC 20010, USA.ORCID 0000-0002-8832-3087
Clara F WeberSocial Neuroscience Laboratory, Department of Psychiatry and Psychotherapy, University of Lübeck, 23562 Lübeck, Germany.
Pratheek BobbaDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA.ORCID 0000-0003-4255-301X
Anh T TranDepartment of Radiology, NewYork-Presbyterian Hospital at Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA.
Ajay MalhotraDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA.ORCID 0000-0001-9223-6640
Seyedmehdi PayabvashDepartment of Radiology, NewYork-Presbyterian Hospital at Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA.ORCID 0000-0003-4628-0370

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

The National Institutes of Health (NIH) Toolbox cognition battery and Trail Making Tests (TMT) are widely used to quantify cognitive aging and to detect early cognitive vulnerability in Alzheimer's disease and related conditions. However, these tests are often treated as interchangeable markers of global cognition, despite likely differences in their dependence on specific brain systems, limiting interpretability across studies and clinical contexts. To address this gap, we examined associations between four commonly used cognitive measures-fluid cognition, crystallized cognition, TMT-A, and TMT-B-and multimodal MRI metrics in 725 healthy volunteers aged 36 to 100 years from the Human Connectome Project-Aging. Voxel-wise diffusion MRI and vertex-wise cortical thickness and volume analyses were adjusted for age, sex, and years of education. Higher crystallized and fluid cognition scores and faster TMT-A/B completion times were generally associated with greater white matter integrity. TMT-B showed the most extensive diffusion and cortical associations, involving major projection, commissural, and association pathways and frontoparietal and temporo-occipital cortices. TMT-A and crystallized cognition demonstrated intermediate, overlapping patterns, whereas fluid cognition showed only focal brainstem and limited cortical correlates. These findings demonstrate systematic differences in the neuroanatomical substrates underlying commonly used cognitive tests and provide normative structure-cognition reference maps that can improve test selection, mechanistic interpretation, and sensitivity to brain health in studies of aging, vascular risk, and preclinical neurodegenerative disease.

Indexed as

crystallized cognitionfluid cognitionhuman connectome projectNIH toolboxNODDItrail making test

Identifiers

PMID41852521
PMCPMC12993754

What OpenQuestion holds

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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 OpenQuestion graph.