Evidence map›Paper›PMID 39219112›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Brain network dynamics in patients with single- and multiple-domain amnestic mild cognitive impairment.

Tiantian Liu, Mingjun Wang, Jian Zhang, Chuyang Ye, Shintaro Funahashi, Jianghong Liu, Li Wang, Tianyi Yan, Alzheimer's Disease Neuroimaging Initiative

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Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
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  5. Brain network dynamics in patients with single- and multiple-domain amnestic mild cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Tiantian LiuSchool of Medical Technology, Beijing Institute of Technology, Beijing, China.
Mingjun WangSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Jian ZhangSchool of Medical Technology, Beijing Institute of Technology, Beijing, China.
Chuyang YeSchool of Information and Electronics, Beijing Institute of Technology, Beijing, China.
Shintaro FunahashiKokoro Research Center, Kyoto University, Sakyo-ku, Kyoto, Japan.
Jianghong LiuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Li WangSchool of Medical Technology, Beijing Institute of Technology, Beijing, China.
Tianyi YanSchool of Medical Technology, Beijing Institute of Technology, Beijing, China.
Alzheimer's Disease Neuroimaging Initiative

Funding

Beijing Municipal Natural Science Foundation 7242273Beijing Natural Science Foundation IS23114China Postdoctoral Science Foundation 2023TQ0027China Postdoctoral Science Foundation 2024M754099Fundamental Research Funds for the Central Universities 2022CX11008Key-Area Research and Development Program of Guangdong Province 2023B0303030002National Natural Science Foundation of China 62306035National Natural Science Foundation of China 62336002National Natural Science Foundation of China 82071912National Natural Science Foundation of China U20A20191STI 2030-Major Projects 2022ZD0208500
6 · The paper itself

Abstract

introductionBrain network dynamics have been extensively explored in patients with amnestic mild cognitive impairment (aMCI); however, differences in single- and multiple-domain aMCI (SD-aMCI and MD-aMCI) remain unclear.

methodsUsing multicenter datasets, coactivation patterns (CAPs) were constructed and compared among normal control (NC), SD-aMCI, MD-aMCI, and Alzheimer's disease (AD) patients based on individual high-order cognitive network (HOCN) and primary sensory network (PSN) parcellations. Correlations between spatiotemporal characteristics and neuropsychological scores were analyzed.

resultsCompared to NC, SD-aMCI showed temporal alterations in HOCN-dominant CAPs, while MD-aMCI showed alterations in PSN-dominant CAPs. In addition, transitions from SD-aMCI to AD may involve PSN, while MD-aMCI to AD involves both PSN and HOCN. Results were generally consistent across datasets from Chinese and White populations. DISCUSSION: The HOCN and PSN are distinctively involved in aMCI subtypes and in the transformation between aMCI subtypes and AD, highlighting the necessity of aMCI subtype classification in AD studies. HIGHLIGHTS: Individual functional network parcellations and coactivation pattern (CAP) analysis were performed to characterize spatiotemporal differences between single- and multiple-domain amnestic mild cognitive impairment (SD-aMCI and MD-aMCI), and between distinct aMCI subtypes and Alzheimer's disease (AD). The analysis of multicenter datasets converged on four pairs of recurrent CAPs, including primary sensory networks (PSN)-dominant CAPs, high-order cognitive networks (HOCN)-dominant CAPs, and PSN-HOCN-interacting CAPs. The HOCN and PSN are distinctively involved in aMCI subtypes and in the transformation between distinct aMCI subtypes and AD.

Indexed as

Alzheimer DiseaseBrainCognitive DysfunctionMagnetic Resonance ImagingAgedAmnesiaFemaleHumansMaleMiddle AgedNerve NetNeuropsychological Testsamnestic mild cognitive impairmentcoactivation patternindividual brain network parcellationresting‐state functional magnetic resonance imagingsingle and multiple domains

Identifiers

PMID39219112
PMCPMC11567855

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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.