Evidence map›Paper›PMID 27777556›Full record

ArticleFrontiers in behavioral neuroscience2016

Attention Performance Measured by Attention Network Test Is Correlated with Global and Regional Efficiency of Structural Brain Networks.

Min Xiao, Haitao Ge, Budhachandra S Khundrakpam, Junhai Xu, Gleb Bezgin, Yuan Leng, Lu Zhao, Yuchun Tang, Xinting Ge, Seun Jeon and 3 more

Abstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

13 authors.

Min XiaoResearch Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, School of Medicine, Shandong UniversityJinan, China; Montreal Neurological Institute, McGill University, MontrealQC, Canada.
Haitao GeResearch Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, School of Medicine, Shandong University Jinan, China.
Budhachandra S KhundrakpamMontreal Neurological Institute, McGill University, Montreal QC, Canada.
Junhai XuResearch Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, School of Medicine, Shandong University Jinan, China.
Gleb BezginMontreal Neurological Institute, McGill University, Montreal QC, Canada.
Yuan LengResearch Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, School of Medicine, Shandong University Jinan, China.
Lu ZhaoLaboratory of Neuroimaging, Institute of Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles CA, USA.
Yuchun TangResearch Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, School of Medicine, Shandong University Jinan, China.
Xinting GeResearch Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, School of Medicine, Shandong University Jinan, China.
Seun JeonMontreal Neurological Institute, McGill University, Montreal QC, Canada.
Wenjian XuDepartment of Radiology, Affiliated Hospital of Qingdao University Qingdao, China.
Alan C EvansMontreal Neurological Institute, McGill University, Montreal QC, Canada.
Shuwei LiuResearch Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, School of Medicine, Shandong University Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional neuroimaging studies have indicated the involvement of separate brain areas in three distinct attention systems: alerting, orienting, and executive control (EC). However, the structural correlates underlying attention remains unexplored. Here, we utilized graph theory to examine the neuroanatomical substrates of the three attention systems measured by attention network test (ANT) in 65 healthy subjects. White matter connectivity, assessed with diffusion tensor imaging deterministic tractography was modeled as a structural network comprising 90 nodes defined by the automated anatomical labeling (AAL) template. Linear regression analyses were conducted to explore the relationship between topological parameters and the three attentional effects. We found a significant positive correlation between EC function and global efficiency of the whole brain network. At the regional level, node-specific correlations were discovered between regional efficiency and all three ANT components, including dorsolateral superior frontal gyrus, thalamus and parahippocampal gyrus for EC, thalamus and inferior parietal gyrus for alerting, and paracentral lobule and inferior occipital gyrus for orienting. Our findings highlight the fundamental architecture of interregional structural connectivity involved in attention and could provide new insights into the anatomical basis underlying human behavior.

Indexed as

attentionattention network testdiffusion tensor imaginggraph analysisstructural brain network

Identifiers

PMID27777556
PMCPMC5056177

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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.