Evidence map›Paper›PMID 32733231›Full record

ArticleFrontiers in aging neuroscience2020

Default Mode Network Analysis of APOE Genotype in Cognitively Unimpaired Subjects Based on Persistent Homology.

Liqun Kuang, Jiaying Jia, Deyu Zhao, Fengguang Xiong, Xie Han, Yalin Wang, Alzheimer’s Disease Neuroimaging Initiative

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Poor dream recall associates with Alzheimer's disease biomarkers and dementia risk.medRxiv : the preprint server for health sciences · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

7 authors at 2 institutions in 2 countries.

Liqun KuangSchool of Data Science and Technology, North University of China, Taiyuan, China.
Jiaying JiaSchool of Data Science and Technology, North University of China, Taiyuan, China.
Deyu ZhaoSchool of Data Science and Technology, North University of China, Taiyuan, China.
Fengguang XiongSchool of Data Science and Technology, North University of China, Taiyuan, China.
Xie HanSchool of Data Science and Technology, North University of China, Taiyuan, China.
Yalin WangSchool of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, United States.
Alzheimer’s Disease Neuroimaging Initiative
North University of China · CNArizona State University · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
SVRIII: Brain Connectome and Neurodevelopment OutcomesR01HL128818 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PANIGRAHY, ASHOK · 2015 to 2019
$3.5M
Multi-Source Sparse Learning to Identify MCI and Predict DeclineRF1AG051710 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THOMPSON, PAUL M, WANG, YALIN · 2016 to 2016
$2.8M
Predicting the early childhood outcomes of preterm brain shape abnormalitiesR01EB025032 · NIBIB · CHILDREN'S HOSPITAL OF LOS ANGELES · PI LEPORE, NATASHA · 2017 to 2020
$2.6M
Hierarchical Bayesian Analysis of Retinotopic Maps of the Human Visual Cortex with Conformal GeometryR01EY032125 · NEI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI LU, ZHONG-LIN, WANG, YALIN · 2021 to 2024
$1.2M
Developing a Univariate Neurodegeneration Imaging Biomarker with Optimal TransportationR21AG065942 · NIA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WANG, YALIN · 2020 to 2020
$445k
MRI Biomarker Discovery for Preclinical Alzheimers Disease with Geometry MethodsR21AG043760 · NIA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WANG, YALIN · 2013 to 2014
$409k
Empowering Diffusion MRI Measures by Integrating White and Grey Matter MorphologyR21AG049216 · NIA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WANG, YALIN · 2015 to 2016
$381k
NEI NIH HHS R01 EY032125NHLBI NIH HHS R01 HL128818NIA NIH HHS R21 AG043760NIA NIH HHS R21 AG049216NIA NIH HHS R21 AG065942NIA NIH HHS RF1 AG051710NIA NIH HHS U01 AG024904NIBIB NIH HHS R01 EB025032
6 · The paper itself

Abstract

Current researches on default mode network (DMN) in normal elderly have mainly focused on finding some dysfunctional areas with decreased or increased connectivity. The global network dynamics of apolipoprotein E (APOE) e4 allele group is rarely studied. In our previous brain network study, we have demonstrated the advantage of persistent homology. It can distinguish robust and noisy topological features over multiscale nested networks, and the derived properties are more stable. In this study, for the first time we applied persistent homology to analyze APOE-related effects on whole-brain functional network. In our experiments, the risk allele group exhibited lower network radius and modularity in whole brain DMN based on graph theory, suggesting the abnormal organization structure. Moreover, two suggested measures from persistent homology detected significant differences between groups within the left hemisphere and in the whole brain in two datasets. They were more statistically sensitive to APOE genotypic differences than standard graph-based measures. In summary, we provide evidence that the e4 genotype leads to distinct DMN functional alterations in the early phases of Alzheimer's disease using persistent homology approach. Our study offers a novel insight to explore potential biomarkers in healthy elderly populations carrying APOE e4 allele.

Indexed as

Alzheimer’s diseaseAPOEgraph theorynetwork measurepersistent homologyresting state functional magnetic resonance imaging

Identifiers

PMID32733231
PMCPMC7358981
OpenAlexW3038283925

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.