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Reward breaks through center‐surround inhibition via anterior insula

Overview of attention for article published in Human Brain Mapping, September 2015
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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Title
Reward breaks through center‐surround inhibition via anterior insula
Published in
Human Brain Mapping, September 2015
DOI 10.1002/hbm.23004
Pubmed ID
Authors

Lihui Wang, Hongbo Yu, Jie Hu, Jan Theeuwes, Xiaoliang Gong, Yang Xiang, Changjun Jiang, Xiaolin Zhou

Abstract

Focusing attention on a target creates a center-surround inhibition such that distractors located close to the target do not capture attention. Recent research showed that a distractor can break through this surround inhibition when associated with reward. However, the brain basis for this reward-based attention is unclear. In this fMRI study, we presented a distractor associated with high or low reward at different distances from the target. Behaviorally the low-reward distractor did not capture attention and thus did not cause interference, whereas the high-reward distractor captured attention only when located near the target. Neural activity in extrastriate cortex mirrored the behavioral pattern. A comparison between the high-reward and the low-reward distractors presented near the target (i.e., reward-based attention) and a comparison between the high-reward distractors located near and far from the target (i.e., spatial attention) revealed a common frontoparietal network, including inferior frontal gyrus and inferior parietal sulcus as well as the visual cortex. Reward-based attention specifically activated the anterior insula (AI). Dynamic causal modelling showed that reward modulated the connectivity from AI to the frontoparietal network but not the connectivity from the frontoparietal network to the visual cortex. Across participants, the reward-based attentional effect could be predicted both by the activity in AI and by the changes of spontaneous functional connectivity between AI and ventral striatum before and after reward association. These results suggest that AI encodes reward-based salience and projects it to the stimulus-driven attentional network, which enables the reward-associated distractor to break through the surround inhibition in the visual cortex. Hum Brain Mapp, 2015. © 2015 Wiley Periodicals, Inc.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 1%
Italy 1 1%
Germany 1 1%
Unknown 83 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 29%
Researcher 12 14%
Student > Master 11 13%
Student > Bachelor 8 9%
Student > Postgraduate 6 7%
Other 14 16%
Unknown 10 12%
Readers by discipline Count As %
Psychology 37 43%
Neuroscience 15 17%
Medicine and Dentistry 4 5%
Nursing and Health Professions 3 3%
Agricultural and Biological Sciences 3 3%
Other 7 8%
Unknown 17 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 October 2015.
All research outputs
#13,512,822
of 24,143,470 outputs
Outputs from Human Brain Mapping
#2,323
of 4,287 outputs
Outputs of similar age
#122,144
of 278,839 outputs
Outputs of similar age from Human Brain Mapping
#46
of 103 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,287 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 278,839 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.