Evidence map›Paper›PMID 26283939›Full record

ArticleFrontiers in behavioral neuroscience2015

Attentional performance is correlated with the local regional efficiency of intrinsic brain networks.

Junhai Xu, Xuntao Yin, Haitao Ge, Yan Han, Zengchang Pang, Yuchun Tang, Baolin Liu, Shuwei Liu

Abstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. The Effects of THC and Nicotine on Attention: A Narrative Review.Current topics in behavioral neurosciences · 2025
    Review
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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

8 authors.

Junhai XuDepartment of Computer Information and Technology, School of Computer Science and Technology, Tianjin University Tianjin, China ; Research Center for Sectional and Imaging Anatomy, Department of Anatomy and Histology Embryology, Shandong University School of Medicine Jinan, China.
Xuntao YinResearch Center for Sectional and Imaging Anatomy, Department of Anatomy and Histology Embryology, Shandong University School of Medicine Jinan, China.
Haitao GeResearch Center for Sectional and Imaging Anatomy, Department of Anatomy and Histology Embryology, Shandong University School of Medicine Jinan, China.
Yan HanDepartment of Radiology, Affiliated Hospital of Medical College, Qingdao University Qingdao, China.
Zengchang PangDepartment of Epidemiology, Qingdao Municipal Central for Disease Control and Prevention Qingdao, China.
Yuchun TangResearch Center for Sectional and Imaging Anatomy, Department of Anatomy and Histology Embryology, Shandong University School of Medicine Jinan, China.
Baolin LiuDepartment of Computer Information and Technology, School of Computer Science and Technology, Tianjin University Tianjin, China.
Shuwei LiuResearch Center for Sectional and Imaging Anatomy, Department of Anatomy and Histology Embryology, Shandong University School of Medicine Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attention is a crucial brain function for human beings. Using neuropsychological paradigms and task-based functional brain imaging, previous studies have indicated that widely distributed brain regions are engaged in three distinct attention subsystems: alerting, orienting and executive control (EC). Here, we explored the potential contribution of spontaneous brain activity to attention by examining whether resting-state activity could account for individual differences of the attentional performance in normal individuals. The resting-state functional images and behavioral data from attention network test (ANT) task were collected in 59 healthy subjects. Graph analysis was conducted to obtain the characteristics of functional brain networks and linear regression analyses were used to explore their relationships with behavioral performances of the three attentional components. We found that there was no significant relationship between the attentional performance and the global measures, while the attentional performance was associated with specific local regional efficiency. These regions related to the scores of alerting, orienting and EC largely overlapped with the regions activated in previous task-related functional imaging studies, and were consistent with the intrinsic dorsal and ventral attention networks (DAN/VAN). In addition, the strong associations between the attentional performance and specific regional efficiency suggested that there was a possible relationship between the DAN/VAN and task performances in the ANT. We concluded that the intrinsic activity of the human brain could reflect the processing efficiency of the attention system. Our findings revealed a robust evidence for the functional significance of the efficiently organized intrinsic brain network for highly productive cognitions and the hypothesized role of the DAN/VAN at rest.

Indexed as

attentionattention network testfunctional connectivitygraph analysisresting state fMRI

Identifiers

PMID26283939
PMCPMC4517058

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LicenceCC BY
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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.