Evidence map›Paper›PMID 41281210›Full record

ArticleArXiv2025

Non-linear associations of amyloid-β with resting-state functional networks and their cognitive relevance in a large community-based cohort of cognitively normal older adults.

Junjie Wu, Benjamin B Risk, Taylor A James, Nicholas Seyfried, David W Loring, Felicia C Goldstein, Allan I Levey, James J Lah, Deqiang Qiu

Abstract readPreprint
In one paragraph

Article in ArXiv, 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

9 authors.

Junjie WuDepartment of Neurology, Emory University, Atlanta, GA, United States.
Benjamin B RiskDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States.
Taylor A JamesDepartment of Neurology, Emory University, Atlanta, GA, United States.
Nicholas SeyfriedDepartment of Neurology, Emory University, Atlanta, GA, United States.
David W LoringDepartment of Neurology, Emory University, Atlanta, GA, United States.
Felicia C GoldsteinDepartment of Neurology, Emory University, Atlanta, GA, United States.
Allan I LeveyDepartment of Neurology, Emory University, Atlanta, GA, United States.
James J LahDepartment of Neurology, Emory University, Atlanta, GA, United States.
Deqiang QiuDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States.

Funding

The Emory Healthy Brain Study: Discovering Predictive Biomarkers for Alzheimer's DiseaseR01AG070937 · NIA · EMORY UNIVERSITY · PI LAH, JAMES J · 2021 to 2025
$35.2M
The Goizueta Alzheimer's Disease Research CenterP30AG066511 · NIA · EMORY UNIVERSITY · PI Amy D Rodriguez · 2020 to 2026
$29.0M
Cerebral hemodynamic impairment in symptomatic and asymptomatic Alzheimer's DiseaseR01AG072603 · NIA · EMORY UNIVERSITY · PI Deqiang Qiu · 2022 to 2026
$3.8M
Explainable and Ethical AI for Studying Alzheimer's DiseaseR01AG089806 · NIA · EMORY UNIVERSITY · PI JAMES J LAH, Deqiang Qiu · 2024 to 2026
$2.1M
NIA NIH HHS P30 AG066511NIA NIH HHS R01 AG070937NIA NIH HHS R01 AG072603NIA NIH HHS R01 AG089806
6 · The paper itself

Abstract

Background: Non-linear alterations in brain network connectivity may represent early neural signatures of Alzheimer's disease (AD) pathology in cognitively normal older adults. Understanding these changes and their cognitive relevance could provide sensitive biomarkers for early detection. Most prior studies recruited participants from memory clinics, often with subjective memory concerns, limiting generalizability. Methods: We examined 14 large-scale functional brain networks in 968 cognitively normal older adults recruited from the community using resting-state functional MRI, cerebrospinal fluid (CSF) biomarkers (amyloid-β 1-42 [Aβ], total tau, phosphorylated tau 181), and neuropsychological assessments. Functional networks were identified using group independent component analysis. Results: Inverted U-shaped associations between CSF Aβ and functional connectivity were observed in the precuneus network and ventral default mode network (DMN), but not in the dorsal DMN, indicating network-specific vulnerability to early amyloid pathology. Higher connectivity in Aβ-related networks, including dorsal and ventral DMN, precuneus, and posterior salience networks, was associated with better visual memory, visuospatial, and executive performance. No significant relationships were observed between CSF tau and functional connectivity. Conclusions: Using a large, community-based cohort, we demonstrate that non-linear alterations in functional connectivity occur in specific networks even during the asymptomatic phase of AD. Moreover, Aβ-related network connectivity is cognitively relevant, highlighting functional brain networks as promising imaging markers for early detection and prognosis of AD.

Indexed as

Alzheimer’s diseaseamyloid-βcognitive agingdefault mode networkfunctional connectivity

Identifiers

PMID41281210
PMCPMC12633156

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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.