Evidence map›Paper›PMID 27774047›Full record

ArticleFrontiers in neuroscience2016

Linking Resting-State Networks in the Prefrontal Cortex to Executive Function: A Functional Near Infrared Spectroscopy Study.

Jia Zhao, Jiangang Liu, Xin Jiang, Guifei Zhou, Guowei Chen, Xiao P Ding, Genyue Fu, Kang Lee

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  5. Effect of Shift Work on Cognitive Function in Chinese Coal Mine Workers: A Resting-State fNIRS Study.International journal of environmental research and public health · 2022
    Article
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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.

Jia ZhaoSchool of Computer and Information Technology, Beijing Jiaotong University Beijing, China.
Jiangang LiuSchool of Computer and Information Technology, Beijing Jiaotong UniversityBeijing, China; Department of Applied Psychology and Human Development, Dr. Eric Jackman Institute of Child Study, University of TorontoToronto, ON, Canada.
Xin JiangDepartment of Computer Science, University College London London, UK.
Guifei ZhouSchool of Computer and Information Technology, Beijing Jiaotong University Beijing, China.
Guowei ChenDepartment of Psychology, Hangzhou Normal UniversityHangzhou, China; Department of Psychology, Zhejiang Normal UniversityJinhua, China.
Xiao P DingDepartment of Applied Psychology and Human Development, Dr. Eric Jackman Institute of Child Study, University of TorontoToronto, ON, Canada; Department of Psychology, National University of SingaporeSingapore, Singapore.
Genyue FuDepartment of Psychology, Hangzhou Normal UniversityHangzhou, China; Department of Psychology, Zhejiang Normal UniversityJinhua, China.
Kang LeeDepartment of Applied Psychology and Human Development, Dr. Eric Jackman Institute of Child Study, University of TorontoToronto, ON, Canada; Department of Psychology, Zhejiang Normal UniversityJinhua, China.

Funding

Development of face processing expertise in childrenR01HD046526 · NICHD · UNIVERSITY OF TORONTO · PI LEE, KANG · 2004 to 2014
$3.0M
NICHD NIH HHS R01 HD046526
6 · The paper itself

Abstract

Executive function (EF) plays vital roles in our everyday adaptation to the ever-changing environment. However, limited existing studies have linked EF to the resting-state brain activity. The functional connectivity in the resting state between the sub-regions of the brain can reveal the intrinsic neural mechanisms involved in cognitive processing of EF without disturbance from external stimuli. The present study investigated the relations between the behavioral executive function (EF) scores and the resting-state functional network topological properties in the Prefrontal Cortex (PFC). We constructed complex brain functional networks in the PFC from 90 healthy young adults using functional near infrared spectroscopy (fNIRS). We calculated the correlations between the typical network topological properties (regional topological properties and global topological properties) and the scores of both the Total EF and components of EF measured by computer-based Cambridge Neuropsychological Test Automated Battery (CANTAB). We found that the Total EF scores were positively correlated with regional properties in the right dorsal superior frontal gyrus (SFG), whereas the opposite pattern was found in the right triangular inferior frontal gyrus (IFG). Different EF components were related to different regional properties in various PFC areas, such as planning in the right middle frontal gyrus (MFG), working memory mainly in the right MFG and triangular IFG, short-term memory in the left dorsal SFG, and task switch in the right MFG. In contrast, there were no significant findings for global topological properties. Our findings suggested that the PFC plays an important role in individuals' behavioral performance in the executive function tasks. Further, the resting-state functional network can reveal the intrinsic neural mechanisms involved in behavioral EF abilities.

Indexed as

executive functionfNIRSprefrontal cortexresting-statesmall-world

Identifiers

PMID27774047
PMCPMC5054000

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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.