Evidence map›Paper›PMID 29803958›Full record

ArticleNeuroImage2018

Disrupted topology of the resting state structural connectome in middle-aged APOE ε4 carriers.

L E Korthauer, L Zhan, O Ajilore, A Leow, I Driscoll

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  5. Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model.IEEE transactions on neural networks and learning systems · 2024
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  13. HIERARCHICAL BRAIN EMBEDDING USING EXPLAINABLE GRAPH LEARNING.Proceedings. IEEE International Symposium on Biomedical Imaging · 2022
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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

5 authors at 3 institutions in 1 country.

L E KorthauerDepartment of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA; Warren Alpert Medical School, Brown University, Providence, RI, USA. Electronic address: laura_korthauer@brown.edu.
L ZhanEngineering and Technology Department, University of Wisconsin-Stout, Menomonie, WI, USA; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
O AjiloreDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA.
A LeowDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA; Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA.
I DriscollDepartment of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
University of Illinois Chicago · USUniversity of Wisconsin–Milwaukee · USUniversity of Pittsburgh · US

Funding

The aging brain: Imaging genetics of brain structure and functionR00AG032361 · NIA · UNIVERSITY OF WISCONSIN MILWAUKEE · PI FRAHMAND, IRA · 2011 to 2013
$719k
Brain network connectivity and genetic risk for Alzheimer's diseaseF31AG050407 · NIA · UNIVERSITY OF WISCONSIN MILWAUKEE · PI KORTHAUER, LAURA · 2016 to 2016
$41k
NIA NIH HHS F31 AG050407NIA NIH HHS R00 AG032361
6 · The paper itself

Abstract

The apolipoprotein E (APOE) ε4 allele is the best characterized genetic risk factor for Alzheimer's disease to date. Older APOE ε4 carriers (aged 60 + years) are known to have disrupted structural and functional connectivity, but less is known about APOE-associated network integrity in middle age. The goal of this study was to characterize APOE-related differences in network topology in middle age, as disentangling the early effects of healthy versus pathological aging may aid early detection of Alzheimer's disease and inform treatments. We performed resting state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI) in healthy, cognitively normal, middle-aged adults (age 40-60; N = 76, 38 APOE ε4 carriers). Graph theoretical analysis was used to calculate local and global efficiency of 1) a whole brain rs-fMRI network; 2) a whole brain DTI network; and 3) the resting state structural connectome (rsSC), an integrated functional-structural network derived using functional-by-structural hierarchical (FSH) mapping. Our results indicated no APOE ε4-associated differences in network topology of the rs-fMRI or DTI networks alone. However, ε4 carriers had significantly lower global and local efficiency of the integrated rsSC compared to non-carriers. Furthermore, ε4 carriers were less resilient to targeted node failure of the rsSC, which mimics the neuropathological process of Alzheimer's disease. Collectively, these findings suggest that integrating multiple neuroimaging modalities and employing graph theoretical analysis may reveal network-level vulnerabilities that may serve as biomarkers of age-related cognitive decline in middle age, decades before the onset of overt cognitive impairment.

Indexed as

AdultAlzheimer DiseaseApolipoprotein E4BrainBrain MappingDiffusion Tensor ImagingFemaleHeterozygoteHumansMaleMiddle AgedApolipoprotein E4Alzheimer's diseaseAPOEFunctional connectivityMiddle ageNetwork

Identifiers

PMID29803958
PMCPMC6249680
OpenAlexW2804282571

What Socratic holds

Textmetadata
LicenceTDM
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.