Evidence map›Paper›PMID 40404356›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2025

Brain Topological Changes in Subjective Cognitive Decline and Associations with Amyloid Stages.

Xueyan Jiang, Mingkai Zhang, Chuyao Yan, Marcel Daamen, Henning Boecker, Feng Yue, Frank Jessen, Xiaochen Hu, Ying Han

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 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

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

9 authors.

Xueyan JiangState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya 572022, China.ORCID 0000-0002-5231-2677
Mingkai ZhangDepartment of Neurology, XuanWu Hospital of Capital Medical University, Beijing 100053, China.
Chuyao YanSchool of Psychology, Nanjing Normal University, Nanjing 210023, China.
Marcel DaamenGerman Center for Neurodegenerative Disease (DZNE), Bonn 53127, Germany.
Henning BoeckerGerman Center for Neurodegenerative Disease (DZNE), Bonn 53127, Germany.
Feng YueState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya 572022, China xiaochen.hu@uk-koeln.de fyuee@hotmail.com.
Frank JessenGerman Center for Neurodegenerative Disease (DZNE), Bonn 53127, Germany.
Xiaochen HuDepartment of Psychiatry, Medical Faculty, University of Cologne, Cologne 50924, Germany xiaochen.hu@uk-koeln.de fyuee@hotmail.com.ORCID 0000-0003-4126-673X
Ying HanState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya 572022, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined how amyloid burden affects structural and functional brain network topology in subjective cognitive decline (SCD), a risk condition for Alzheimer's disease (AD). Functional and structural brain networks were analyzed in 100 individuals with SCD and 86 normal controls (NC; both sexes included) using resting-state functional MRI and diffusion tensor imaging. Topological properties of brain networks were evaluated as indicators of information exchange efficiency and network robustness. Amyloid burden in 55 SCD participants was measured using amyloid PET imaging and a frequency-based staging method, which defined global and regional amyloid burden for four anatomical stages. Compared with NC, individuals with SCD exhibited increased functional nodal efficiency and structural nodal betweenness in the left anterior and median cingulate gyri, with no differences in network-level properties. Amyloid staging revealed four cortical divisions: Stage 1, fusiform and lateral temporal gyri; Stage 2, occipital areas; Stage 3, default mode network (DMN), midline brain, and lateral frontotemporal areas; and Stage 4, the remaining cortex. The global and regional amyloid burdens of each cortical stage were positively associated with the node-level properties of a set of DMN hubs, with the left anterior and posterior cingulate gyri being congruently associated with all amyloid stages. These findings suggest that amyloid burden continuously influences network adaptations through DMN hubs, irrespective of local proximity to pathology. Increased nodal properties in cortical hubs may reflect heightened information-processing demands during early amyloid deposition in this population at risk for AD.

Indexed as

AmyloidBrainCognitive DysfunctionNerve NetAgedDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPositron-Emission TomographyAmyloidamyloid PETamyloid stagingDTIgraph theoryresting fMRIsubjective cognitive decline

Identifiers

PMID40404356
PMCPMC12178276

What OpenQuestion holds

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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.