Evidence map›Paper›PMID 27733827›Full record

ArticleFrontiers in aging neuroscience2016

A Triple Network Connectivity Study of Large-Scale Brain Systems in Cognitively Normal APOE4 Carriers.

Xia Wu, Qing Li, Xinyu Yu, Kewei Chen, Adam S Fleisher, Xiaojuan Guo, Jiacai Zhang, Eric M Reiman, Li Yao, Rui Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 47 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Xia WuCollege of Information Science and Technology, Beijing Normal UniversityBeijing, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal UniversityBeijing, China.
Qing LiCollege of Information Science and Technology, Beijing Normal University Beijing, China.
Xinyu YuCollege of Information Science and Technology, Beijing Normal University Beijing, China.
Kewei ChenBanner Alzheimer's Institute and Banner Good Samaritan PET Center Phoenix, AZ, USA.
Adam S FleisherBanner Alzheimer's Institute and Banner Good Samaritan PET CenterPhoenix, AZ, USA; Eli Lilly and CompanyIndianapolis, IN, USA.
Xiaojuan GuoCollege of Information Science and Technology, Beijing Normal University Beijing, China.
Jiacai ZhangCollege of Information Science and Technology, Beijing Normal University Beijing, China.
Eric M ReimanBanner Alzheimer's Institute and Banner Good Samaritan PET Center Phoenix, AZ, USA.
Li YaoCollege of Information Science and Technology, Beijing Normal UniversityBeijing, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal UniversityBeijing, China.
Rui LiCenter on Aging Psychology, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences Beijing, China.
Beijing Normal University · CNBanner Alzheimer’s InstituteInstitute of Psychology, Chinese Academy of Sciences · CN

Funding

BOLD and Perfusion fMRI of Alzheimer's Disease RiskK23AG024062 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FLEISHER, ADAM S · 2004 to 2008
$743k
NIA NIH HHS K23 AG024062
6 · The paper itself

Abstract

The triple network model, consisting of the central executive network (CEN), salience network (SN) and default mode network (DMN), has been recently employed to understand dysfunction in core networks across various disorders. Here we used the triple network model to investigate the large-scale brain networks in cognitively normal apolipoprotein e4 (APOE4) carriers who are at risk of Alzheimer's disease (AD). To explore the functional connectivity for each of the three networks and the effective connectivity among them, we evaluated 17 cognitively normal individuals with a family history of AD and at least one copy of the APOE4 allele and compared the findings to those of 12 individuals who did not carry the APOE4 gene or have a family history of AD, using independent component analysis (ICA) and Bayesian network (BN) approach. Our findings indicated altered within-network connectivity that suggests future cognitive decline risk, and preserved between-network connectivity that may support their current preserved cognition in the cognitively normal APOE4 allele carriers. The study provides novel sights into our understanding of the risk factors for AD and their influence on the triple network model of major psychopathology.

Indexed as

Alzheimer’s diseaseAPOE4Bayesian networkconnectivityfMRItriple network model

Identifiers

PMID27733827
PMCPMC5039208
OpenAlexW2526350827

What OpenQuestion 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 OpenQuestion graph.