Evidence map›Paper›PMID 28707959›Full record

ArticleBrain connectivity2017

Interactions of the Salience Network and Its Subsystems with the Default-Mode and the Central-Executive Networks in Normal Aging and Mild Cognitive Impairment.

Ganesh B Chand, Junjie Wu, Ihab Hajjar, Deqiang Qiu

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In one paragraph

Article in Brain connectivity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

116 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Brain glucodynamic variability is an essential feature of the metabolism-cognition relationship.Proceedings of the National Academy of Sciences of the United States of America · 2026
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56 more citing papers are in PubMed but not listed here.

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

4 authors.

Ganesh B Chand1 Division of Geriatrics and General Internal Medicine, Department of Medicine, Emory University School of Medicine , Atlanta, Georgia .
Junjie Wu2 Department of Radiology and Imaging Sciences, Emory University School of Medicine , Atlanta, Georgia .
Ihab Hajjar1 Division of Geriatrics and General Internal Medicine, Department of Medicine, Emory University School of Medicine , Atlanta, Georgia .
Deqiang Qiu2 Department of Radiology and Imaging Sciences, Emory University School of Medicine , Atlanta, Georgia .

Funding

The role of the renin-angiotensin-endothelial pathway in ADRF1AG051633 · NIA · EMORY UNIVERSITY · PI HAJJAR, IHAB M, QUYYUMI, ARSHED A · 2015 to 2017
$6.0M
Hypertension, angiotensin receptor blockers, and cognition: effects and mechanismR01AG042127 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAJJAR, IHAB M · 2012 to 2017
$3.0M
NIA NIH HHS R01 AG042127NIA NIH HHS RF1 AG051633
6 · The paper itself

Abstract

Previous functional magnetic resonance imaging (fMRI) investigations suggest that the intrinsically organized large-scale networks and the interaction between them might be crucial for cognitive activities. A triple network model, which consists of the default-mode network, salience network, and central-executive network, has been recently used to understand the connectivity patterns of the cognitively normal brains versus the brains with disorders. This model suggests that the salience network dynamically controls the default-mode and central-executive networks in healthy young individuals. However, the patterns of interactions have remained largely unknown in healthy aging or those with cognitive decline. In this study, we assess the patterns of interactions between the three networks using dynamical causal modeling in resting state fMRI data and compare them between subjects with normal cognition and mild cognitive impairment (MCI). In healthy elderly subjects, our analysis showed that the salience network, especially its dorsal subnetwork, modulates the interaction between the default-mode network and the central-executive network (Mann-Whitney U test; p < 0.05), which was consistent with the pattern of interaction reported in young adults. In contrast, this pattern of modulation by salience network was disrupted in MCI (p < 0.05). Furthermore, the degree of disruption in salience network control correlated significantly with lower overall cognitive performance measured by Montreal Cognitive Assessment (r = 0.295; p < 0.05). This study suggests that a disruption of the salience network control, especially the dorsal salience network, over other networks provides a neuronal basis for cognitive decline and may be a candidate neuroimaging biomarker of cognitive impairment.

Indexed as

AgingModels, NeurologicalAgedBayes TheoremCognitionCognitive DysfunctionExecutive FunctionFemaleFunctional NeuroimagingHumansMagnetic Resonance ImagingMaleMiddle AgedNerve Netdorsal and ventral salience networksdynamical causal modelingfunctional magnetic resonance imaginglarge-scale networkmild cognitive impairmentnormal aging

Identifiers

PMID28707959
PMCPMC5647507

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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.