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Reward Breaks Through Center-Surround Inhibition via Anterior Insula
Wang, Lihui ; Yu, Hongbo ; Hu, Jie ; Theeuwes, Jan ; Gong, Xiaoliang ; Xiang, Yang ; Jiang, Changjun ; Zhou, Xiaolin
刊名HUMAN BRAIN MAPPING
2015
关键词reward stimulus-driven attention reward-based attention anterior insula fMRI resting-state fMRI dynamic causal modeling DRIVEN ATTENTIONAL CAPTURE VISUAL SELECTIVE ATTENTION PERCEPTUAL SELECTIVITY INCENTIVE SALIENCE NEURAL MECHANISMS PARIETAL CORTEX FRONTAL-CORTEX BASAL GANGLIA HUMAN VISION VOLUNTARY
DOI10.1002/hbm.23004
英文摘要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. (C) 2015 Wiley Periodicals, Inc.; National Basic Research Program of China [2015CB856400]; Natural Science Foundation of China [31170972, 91232708]; SCI(E); PubMed; ARTICLE; xz104@pku.edu.cn; 12; 5233-5251; 36
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/417839]  
专题心理与认知科学学院
推荐引用方式
GB/T 7714
Wang, Lihui,Yu, Hongbo,Hu, Jie,et al. Reward Breaks Through Center-Surround Inhibition via Anterior Insula[J]. HUMAN BRAIN MAPPING,2015.
APA Wang, Lihui.,Yu, Hongbo.,Hu, Jie.,Theeuwes, Jan.,Gong, Xiaoliang.,...&Zhou, Xiaolin.(2015).Reward Breaks Through Center-Surround Inhibition via Anterior Insula.HUMAN BRAIN MAPPING.
MLA Wang, Lihui,et al."Reward Breaks Through Center-Surround Inhibition via Anterior Insula".HUMAN BRAIN MAPPING (2015).
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