Evidence map›Paper›PMID 32761563›Full record

ArticleBrain imaging and behavior2020

Dynamic reconfiguration of functional brain networks supporting response inhibition in a stop-signal task.

Bin Wang, Yaqing Hao, Qionghui Zhan, Shuo Zhao, Dandan Li, Sumaira Imtiaz, Jie Xiang, Jinglong Wu, Hidenao Fukuyama, Ting Yan

Abstract read
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Article in Brain imaging and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

6 citing papers in PubMed, 8 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 4 institutions in 2 countries.

Bin WangCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.ORCID http://orcid.org/0000-0001-7771-5360
Yaqing HaoCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Qionghui ZhanCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Shuo ZhaoFaculty of Human Health Science, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Dandan LiCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Sumaira ImtiazCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Jie XiangCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Jinglong WuIntelligent Robotics Institute, Beijing Institute of Technology, Beijing, China.
Hidenao FukuyamaHuman Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Ting YanCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China. enntei@hotmail.com.
Taiyuan University of Technology · CNBeijing Institute of Technology · CNKyoto University · JPTaiyuan University of Science and Technology · CN

Funding

China Postdoctoral Science Foundation 2016M601287Natural Science Foundation of China 61503272Natural Science Foundation of China 81471752Natural Science Foundation of China 81771824
6 · The paper itself

Abstract

Response inhibition is the ability to suppress automatic actions or behaviors that are not appropriate or are no longer adaptive to the situation. Although many studies have suggested regional brain activation, the nature of the reconfiguration of functional brain networks involved in response inhibition remains unknown. Here, we assessed brain changes associated with response inhibition using graph theoretical analysis applied to functional connectivity data acquired while subjects performed a simple stop-signal task. We identified several ways in which global network organization shifted to meet the demand for response inhibition. Increased demand for response inhibition was associated with a global network configuration with more efficient communication across the network (functional integration) and more specialized processing (functional segregation). Regions distributed in the frontoparietal network and attention networks were found to be highly efficient in the stop condition. Nodal efficiency was significantly associated with reaction time and showed a different pattern between the go and stop conditions. In addition, the conditional differences (stop vs. go) in nodal efficiency and regional task activation were common in the postcentral gyrus (PoCG) and superior temporal lobe gyrus (STG), and a negative correlation between these differences was found in the frontal and parietal lobes. These results provide compelling evidence that response inhibition is associated with truly global changes in brain functional connectivity and additional insights into how defects in response inhibition are associated with neurological or psychiatric difficulties.

Indexed as

BrainBrain MappingHumansMagnetic Resonance ImagingNerve NetParietal LobeReaction TimeAttentionBrainfMRIFunctional networkGraph theoretical analysisInhibition

Identifiers

PMID32761563
OpenAlexW3047312630

What OpenQuestion holds

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Registered trials

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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.