Evidence map›Paper›PMID 34539385›Full record

ArticleFrontiers in aging neuroscience2021

Polygenic Hazard Score Associated Multimodal Brain Networks Along the Alzheimer's Disease Continuum.

Kaicheng Li, Zening Fu, Shile Qi, Xiao Luo, Qingze Zeng, Xiaopei Xu, Peiyu Huang, Minming Zhang, Vince D Calhoun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 50% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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 at 4 institutions in 2 countries.

Kaicheng LiTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States.
Zening FuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States.
Shile QiDepartment of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Xiao LuoDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Qingze ZengDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Xiaopei XuDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Peiyu HuangDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Minming ZhangDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Vince D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States.
Second Affiliated Hospital of Zhejiang University · CNCenter for Translational Research in Neuroimaging and Data Science · USGeorgia State University · USNanjing University of Aeronautics and Astronautics · CN

Funding

Data driven dynamic activity/connectivity methods for early detection of Alzheimer’sR01AG073949 · NIA · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2021 to 2025
$3.7M
Flexible multivariate models for linking multi-scale connectome and genome data in Alzheimer's disease and related disordersRF1AG063153 · NIA · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D, LIU, JINGYU · 2019 to 2020
$3.5M
NIA NIH HHS R01 AG073949NIA NIH HHS RF1 AG063153
6 · The paper itself

Abstract

backgroundLate-onset Alzheimer's disease (AD) is a polygenic neurodegenerative disease. Identifying the neuroimaging phenotypes behind the genetic predisposition of AD is critical to the understanding of AD pathogenesis. Two major questions which previous studies have led to are: (1) should the general "polygenic hazard score" (PHS) be a good choice to identify the individual genetic risk for AD; and (2) should researchers also include inter-modality relationships in the analyses considering these may provide complementary information about the AD etiology.

methodsWe collected 88 healthy controls, 77 patients with mild cognitive impairment (MCI), and 22 AD patients to simulate the AD continuum included from the ADNI database. PHS-guided multimodal fusion was used to investigate the impact of PHS on multimodal brain networks in AD-continuum by maximizing both inter-modality association and reference-modality correlation. Fractional amplitude of low frequency fluctuations, gray matter (GM) volume, and amyloid standard uptake value ratios were included as neuroimaging features. Eventually, the changes in neuroimaging features along AD continuum were investigated, and relationships between cognitive performance and identified PHS associated multimodal components were established.

resultsWe found that PHS was associated with multimodal brain networks, which showed different functional and structural impairments under increased amyloid deposits. Notably, along with AD progression, functional impairment occurred before GM atrophy, amyloid deposition started from the MCI stage and progressively increased throughout the disease continuum.

conclusionPHS is associated with multi-facets of brain impairments along the AD continuum, including cognitive dysfunction, pathological deposition, which might underpin the AD pathogenesis.

Indexed as

Alzheimer’s diseasecognitive declinedefault mode networkexecutive control networkpolygenic hazard scoresupervised multimodal fusionvisuospatial network

Identifiers

PMID34539385
PMCPMC8446666
OpenAlexW3197180104

What OpenQuestion holds

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LicenceCC BY
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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.