Evidence map›Paper›PMID 31708720›Full record

ArticleFrontiers in neuroscience2019

Negatively Linking Connector Networks in Cognitive Control of Affective Pictures.

Wenhai Zhang, Jing Chen, Guofang Ren, Fanggui Tang, Qiang Liu, Hong Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 5 institutions in 1 country.

Wenhai ZhangCollege of Education Science, The Big Data Centre for Cognitive Neuroscience and AI, Hengyang Normal University, Hengyang, China.
Jing ChenInstitute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China.
Guofang RenSchool of Education, Anyang Normal University, Anyang, China.
Fanggui TangCollege of Education Science, The Big Data Centre for Cognitive Neuroscience and AI, Hengyang Normal University, Hengyang, China.
Qiang LiuResearch Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China.
Hong LiInstitute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China.
Liaoning Normal University · CNAnyang Normal University · CNHengyang Normal University · CNShenzhen University · CNSichuan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive control of emotions depends on intermodular long-distance communications. However, negative connections between connector hubs are removed by traditional hard-thresholding approach in graph-theoretical research. Using soft-thresholding approach to reserve negative links, we explore time-varying features of connector hubs in intermodular communications during cognitive control of affective pictures. We develop a novel approach to sparse functional networks and construct negatively linking connector networks for positive, negative, and neutral pictures. We find that consisting of flexible hubs, the frontoparietal system dynamically top-down inhibits neural activities through negative connections from the salience subnetwork and visual processing area. Moreover, the shared connectors form functional backbones that dynamically reconfigure according to differently-valenced pictures in order to coordinate both stability and flexibility of cognitive connector networks. These results reveal the necessity of conserving negative links between intermodular communications in chronnectome research and deepen the understanding of how connector networks dynamically evolute during cognitive control of affective processing.

Indexed as

affective picturescognitive controlconnector hubsgraph theorynegative connections

Identifiers

PMID31708720
PMCPMC6823191
OpenAlexW2981657627

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.