Evidence map›Paper›PMID 40326425›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2025

Contrast Sensitivity Predicts 30-month Functional Brain Network Integrity in Cognitively Unimpaired Older Adults: the Brain Networks and Mobility Study.

Alexis D Tanase, Haiying Chen, Michael E Miller, Christina E Hugenschmidt, Jeff D Williamson, Stephen B Kritchevsky, Robert G Lyday, Paul J Laurienti, Atalie C Thompson

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Alexis D TanaseDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Haiying ChenDepartment of Biostatistics, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Michael E MillerDivision of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Christina E HugenschmidtDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Jeff D WilliamsonDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Stephen B KritchevskyDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.ORCID 0000-0003-3336-6781
Robert G LydayDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Paul J LaurientiDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Atalie C ThompsonDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LEON LENCHIK · 2002 to 2026
$36.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Wake Forest University School of Medicine Alzheimer's Disease Research CenterP30AG072947 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUZANNE CRAFT · 2021 to 2026
$24.3M
Combining assessment of cognition, eye movement, and gait in naturalistic settings to differentiate subclinical Alzheimer's pathology.R01AG052419 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KRITCHEVSKY, STEPHEN B., LAURIENTI, PAUL · 2017 to 2022
$4.2M
NCATS NIH HHS UL1 TR001420NEI NIH HHSNIA NIH HHS P30 AG021332NIA NIH HHS P30 AG072947NIA NIH HHS R01 AG052419Wake Forest Clinical and Translational Science Institute UL1-TR001420Wake Forest University Claude D. Pepper Older Americans Independence Center P30-AG021332
6 · The paper itself

Abstract

backgroundVisual contrast sensitivity (CS) is critical to many functions in older adults and is associated with brain network community structure, but the direction of the relationship between CS and the brain remains unclear.

methodsWe evaluated whether baseline binocular CS predicts 30-month functional brain network organization in 172 community-dwelling older adults (mean age 76.4 ± 4.8 years, 56.4% female, 11.6% non-White/Hispanic) that underwent functional MRI at rest and during a motor imagery task. We constructed separate distance regression models for each of the 8 subnetworks covering the entire brain, while controlling for the baseline brain networks, sex, and the number of volumes removed during motion scrubbing from head motion in the scanner.

resultsWorse baseline CS predicted lower community structure integrity at 30 months in the visual network (β = 0.0115; p < .0001), dorsal attention network (β = 0.0075; p = .0089), and default mode network both at rest (β = 0.0173; p < .0001) and during the motor imagery task (default mode network, β = 0.0103; p = .0002). No other networks showed significant associations. The dorsal attention network did not have a relationship with CS at baseline but was significant at 30 months. Similar findings were observed in models that additionally controlled for baseline Montreal Cognitive Assessment and change in Montreal Cognitive Assessment score over 30 months.

conclusionsPoor CS may identify a subset of older adults at risk of future decrements in brain circuits important for vision, cognitive, and mobility functions. Future studies should explore if improving CS increases functional brain health.

Indexed as

BrainContrast SensitivityNerve NetAgedAged, 80 and overCognitionFemaleHumansIndependent LivingMagnetic Resonance ImagingMaleBrain community structureNormal cognitionVision

Identifiers

PMID40326425
PMCPMC12269765

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LicenceCC BY-NC-ND
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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.