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Reliable Attention Network Scores and Mutually Inhibited Inter-network Relationships Revealed by Mixed Design and Non-orthogonal Method.

Wang YF, Jing XJ, Liu F, Li ML, Long ZL, Yan JH, Chen HF - Sci Rep (2015)

Bottom Line: The attention system can be divided into alerting, orienting, and executive control networks.The efficiency and independence of attention networks have been widely tested with the attention network test (ANT) and its revised versions.Moreover, the low reliability of ANSs can not meet the demands of theoretical and empirical investigations.

View Article: PubMed Central - PubMed

Affiliation: Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, 610054, China.

ABSTRACT
The attention system can be divided into alerting, orienting, and executive control networks. The efficiency and independence of attention networks have been widely tested with the attention network test (ANT) and its revised versions. However, many studies have failed to find effects of attention network scores (ANSs) and inter-network relationships (INRs). Moreover, the low reliability of ANSs can not meet the demands of theoretical and empirical investigations. Two methodological factors (the inter-trial influence in the event-related design and the inter-network interference in orthogonal contrast) may be responsible for the unreliability of ANT. In this study, we combined the mixed design and non-orthogonal method to explore ANSs and directional INRs. With a small number of trials, we obtained reliable and independent ANSs (split-half reliability of alerting: 0.684; orienting: 0.588; and executive control: 0.616), suggesting an individual and specific attention system. Furthermore, mutual inhibition was observed when two networks were operated simultaneously, indicating a differentiated but integrated attention system. Overall, the reliable and individual specific ANSs and mutually inhibited INRs provide novel insight into the understanding of the developmental, physiological and pathological mechanisms of attention networks, and can benefit future experimental and clinical investigations of attention using ANT.

No MeSH data available.


The correlations between directional inter-network relationships. If one network exerts more influence on another one, the reverse impact is increased simultaneously.
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f3: The correlations between directional inter-network relationships. If one network exerts more influence on another one, the reverse impact is increased simultaneously.

Mentions: For directional INRs, striking negative correlations between A→O and O→A (r = –0.411, P = 0.006) and between A→E and E→A (r =–0.348, P = 0.020), and positive correlation between O→E and E→O (r = 0.605, P < 0.0001) were observed (Fig. 3). Of note, the negative correlation was due to the negative value of A. These significant correlations indicated that the networks were mutually inhibited when two networks were operated simultaneously.


Reliable Attention Network Scores and Mutually Inhibited Inter-network Relationships Revealed by Mixed Design and Non-orthogonal Method.

Wang YF, Jing XJ, Liu F, Li ML, Long ZL, Yan JH, Chen HF - Sci Rep (2015)

The correlations between directional inter-network relationships. If one network exerts more influence on another one, the reverse impact is increased simultaneously.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4440527&req=5

f3: The correlations between directional inter-network relationships. If one network exerts more influence on another one, the reverse impact is increased simultaneously.
Mentions: For directional INRs, striking negative correlations between A→O and O→A (r = –0.411, P = 0.006) and between A→E and E→A (r =–0.348, P = 0.020), and positive correlation between O→E and E→O (r = 0.605, P < 0.0001) were observed (Fig. 3). Of note, the negative correlation was due to the negative value of A. These significant correlations indicated that the networks were mutually inhibited when two networks were operated simultaneously.

Bottom Line: The attention system can be divided into alerting, orienting, and executive control networks.The efficiency and independence of attention networks have been widely tested with the attention network test (ANT) and its revised versions.Moreover, the low reliability of ANSs can not meet the demands of theoretical and empirical investigations.

View Article: PubMed Central - PubMed

Affiliation: Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, 610054, China.

ABSTRACT
The attention system can be divided into alerting, orienting, and executive control networks. The efficiency and independence of attention networks have been widely tested with the attention network test (ANT) and its revised versions. However, many studies have failed to find effects of attention network scores (ANSs) and inter-network relationships (INRs). Moreover, the low reliability of ANSs can not meet the demands of theoretical and empirical investigations. Two methodological factors (the inter-trial influence in the event-related design and the inter-network interference in orthogonal contrast) may be responsible for the unreliability of ANT. In this study, we combined the mixed design and non-orthogonal method to explore ANSs and directional INRs. With a small number of trials, we obtained reliable and independent ANSs (split-half reliability of alerting: 0.684; orienting: 0.588; and executive control: 0.616), suggesting an individual and specific attention system. Furthermore, mutual inhibition was observed when two networks were operated simultaneously, indicating a differentiated but integrated attention system. Overall, the reliable and individual specific ANSs and mutually inhibited INRs provide novel insight into the understanding of the developmental, physiological and pathological mechanisms of attention networks, and can benefit future experimental and clinical investigations of attention using ANT.

No MeSH data available.