Evidence map›Paper›PMID 42204140›Full record

ArticleNature communications2026

Brain maintenance biomarkers from structural and functional interactions in aging and neurodegeneration.

Yumeng Li, Xinyue Zhang, Xin Li, Zhanjun Zhang

Abstract read
In one paragraph

Article in Nature communications, 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

4 authors.

Yumeng LiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0009-0008-3107-3778
Xinyue ZhangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0009-0007-6534-8234
Xin LiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. lixin99@bnu.edu.cn.ORCID http://orcid.org/0000-0001-9598-0299
Zhanjun ZhangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. zhang_rzs@bnu.edu.cn.ORCID http://orcid.org/0000-0001-7266-4218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain maintenance may help explain why some individuals remain cognitively resilient despite aging, but its biological basis is not well understood. Here, we show that brain maintenance can be quantified from the relationship between brain structure and function. Using structural MRI and resting-state functional MRI from 1280 older adults, we built a model based on young adults to estimate the functional capacity supported by preserved brain structure, and defined brain maintenance as the difference between predicted and observed function. Brain maintenance was most evident in prefrontal, cingulate, and precuneus regions and was enriched in higher-order functional networks. Higher brain maintenance was associated with slower cognitive decline, lower amyloid-β burden, and domain-specific variation in memory, attention, and processing speed. These findings provide a biologically grounded marker of resilience in healthy and pathological aging.

Indexed as

AgingBrainNeurodegenerative DiseasesAgedAged, 80 and overAmyloid beta-PeptidesBiomarkersCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMaleMemoryProcessing SpeedAmyloid beta-PeptidesBiomarkers

Identifiers

PMID42204140
PMCPMC13389195

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-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.