Evidence map›Paper›PMID 41888327›Full record

ArticleBrain topography2026

Whole-Brain Static Functional Connectivity Disruptions Based on the Default Mode Network in Patients with Mild Cognitive Impairment.

Yan Zeng, Yongjia Shao, Di Zhou, Mingjuan Qiu, Zijian Wang, Qian Xi

Abstract read
In one paragraph

Article in Brain topography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yan Zeng *Graduate School, Dalian Medical University, No. 9 West Section of Lvshun South Road, Lvshunkou Area, Dalian, 116044, China.
Yongjia Shao *Department of Radiology, Shanghai East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Pudong New Area, Shanghai, 200120, China.
Di ZhouDepartment of Radiology, Eye & ENT Hospital of Fudan University, No. 83 Fenyang Road, Xuhui District,, Shanghai, 200031, China.
Mingjuan QiuDepartment of Radiology, Songjiang Hospital, Shanghai Jiao Tong University School of Medicine, No. 748 Zhongshan Middle Road, Songjiang Area, Shanghai, 201600, China.
Zijian WangDepartment of Computer Science and Technology, Donghua University, No.2999 North Renmin Road, Songjiang Area, Shanghai, 201620, China.
Qian XiDepartment of Radiology, Eye & ENT Hospital of Fudan University, No. 83 Fenyang Road, Xuhui District,, Shanghai, 200031, China. xiqian1129@163.com.

Funding

the Commission of Shanghai Municipal Health Grant No. 20254Y0168the Outstanding Leaders Training Program of Pudong Health Bureau of Shanghai Grant No. PWRl2022-05the Science and Technology Commission of Shanghai Municipality Grant No. 23Y11907500
6 · The paper itself

Abstract

Mild cognitive impairment (MCI) is regarded a potential early stage of Alzheimer's disease (AD) and associated with a significantly increased risk of progression to AD. This study aims to evaluate whole-brain static functional connectivity (SFC) disruptions with the default mode network (DMN) seed points in patients with MCI by resting-state functional magnetic resonance imaging (rs-fMRI), and to explore whether these disruptions could serve as potential markers for MCI progression to AD. Retrospective rs-fMRI data with MCI (n = 36) and corresponding matched healthy controls (HCs) (n = 26) were collected for comparison. Independent component analysis (ICA) was used to extract DMN regions, and SFC was calculated for four seed points within the DMN. Two-sample t-tests were performed to compare group differences in SFC strength between the MCI and HC groups, and Pearson correlation analyses were conducted. Compared to HCs, the MCI group showed both increased and decreased SFC between four subregions and multiple brain regions, decreased SFC was more widely distributed than increased SFC. Abnormal connectivity was more prominent in the first two key nodes compared to the latter two. Affected regions primarily located in the precuneus, frontal gyri, temporal gyri, postcentral gyrus, caudate nucleus, lingual gyrus, and fusiform gyrus. The SFC value between the right angular gyrus and the right insula was significantly negatively correlated with MoCA scores (r = - 0.385, p < 0.05, FDR-corrected). It reveals a decline in the functional integration capacity within the DMN, as well as complex reorganization and abnormal connectivity patterns between the DMN and other brain networks. The altered interactions between DMN subregions and abnormal brain areas are significantly associated with episodic memory disturbance in MCI.

Indexed as

BrainCognitive DysfunctionDefault Mode NetworkAgedBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysNeuropsychological TestsRestRetrospective Studiesdefault mode networkmild cognitive impairmentresting-state functional magnetic resonance imagingstatic functional connectivity

Identifiers

PMID41888327
PMCPMC13021749

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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.