Evidence map›Paper›PMID 41993420›Full record

ArticlebioRxiv : the preprint server for biology2026

White-matter connectivity shapes visual and semantic representations in the aging brain.

Cortney M Howard, Shenyang Huang, Kirsten Gillette, Lifu Deng, Roberto Cabeza, Simon W Davis

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

6 authors.

Cortney M HowardDepartment of Psychology & Neuroscience, Duke University, Durham NC 27708.ORCID 0000-0003-4870-7104
Shenyang HuangDepartment of Psychology & Neuroscience, Duke University, Durham NC 27708.
Kirsten GilletteDepartment of Psychology & Neuroscience, Duke University, Durham NC 27708.
Lifu DengCleveland Clinic, Cleveland OH 44195.
Roberto CabezaDepartment of Psychology & Neuroscience, Duke University, Durham NC 27708.
Simon W DavisDepartment of Psychological & Brain Sciences, Indiana University, IN 47401.ORCID 0000-0002-5943-0756

Funding

Adaptive Neuromodulation of Working Memory Networks in Aging and DementiaR01AG075417 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI Simon W Davis · 2022 to 2026
$2.8M
Effects of Healthy Aging and Mild Cognitive Impairment on Memory RepresentationsR01AG066901 · NIA · DUKE UNIVERSITY · PI Roberto Cabeza · 2025 to 2026
$1.5M
NIA NIH HHS R01 AG066901NIA NIH HHS R01 AG075417
6 · The paper itself

Abstract

Multiple lines of evidence indicate that aging is associated with a reduction in the quality of sensory information coupled with increased reliance on semantic information. Consistent with this evidence, functional MRI studies have repeatedly found that, compared to younger adults, older adults show weaker visual representations but stronger semantic representations. However, the factors that engender this visuo-semantic representational shift (VSRS) remain unclear. Here, we test whether structural connectivity within the representational network predicts these shifts. In the face of typical age-related declines in visual memory and structural connectivity, we find that structural connectivity (i) mediates age-related decline in perceptual representation, and (ii) supports semantic and perceptual mnemonic representations in older adults. These findings outline a potential mechanism of age-related perceptual processing declines and highlight the adaptability of the memory system with age.

Identifiers

PMID41993420
PMCPMC13081987

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

None linked

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.