Literature DB >> 25199464

Distinct neural networks for target feature versus dimension changes in visual search, as revealed by EEG and fMRI.

Stefanie I Becker1, Anna Grubert2, Paul E Dux3.   

Abstract

In visual search, responses are slowed, from one trial to the next, both when the target dimension changes (e.g., from a color target to a size target) and when the target feature changes (e.g., from a red target to a green target) relative to being repeated across trials. The present study examined whether such feature and dimension switch costs can be attributed to the same underlying mechanism(s). Contrary to this contention, an EEG study showed that feature changes influenced visual selection of the target (i.e., delayed N2pc onset), whereas dimension changes influenced the later process of response selection (i.e., delayed s-LRP onset). An fMRI study provided convergent evidence for the two-system view: Compared with repetitions, feature changes led to increased activation in the occipital cortex, and superior and inferior parietal lobules, which have been implicated in spatial attention. By contrast, dimension changes led to activation of a fronto-posterior network that is primarily linked with response selection (i.e., pre-motor cortex, supplementary motor area and frontal areas). Taken together, the results suggest that feature and dimension switch costs are based on different processes. Specifically, whereas target feature changes delay attention shifts to the target, target dimension changes interfere with later response selection operations. Crown
Copyright © 2014. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Attention; Dimension weighting; EEG; Priming of pop-out; fMRI

Mesh:

Year:  2014        PMID: 25199464     DOI: 10.1016/j.neuroimage.2014.08.058

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  4 in total

1.  Temporal Characteristics of Priming of Attention Shifts Are Mirrored by BOLD Response Patterns in the Frontoparietal Attention Network.

Authors:  Manje A B Brinkhuis; Árni Kristjánsson; Ben M Harvey; Jan W Brascamp
Journal:  Cereb Cortex       Date:  2020-04-14       Impact factor: 5.357

Review 2.  Does feature intertrial priming guide attention? The jury is still out.

Authors:  Aniruddha Ramgir; Dominique Lamy
Journal:  Psychon Bull Rev       Date:  2021-10-08

Review 3.  Priming of probabilistic attentional templates.

Authors:  Árni Kristjánsson
Journal:  Psychon Bull Rev       Date:  2022-07-13

4.  Correlations between exploratory eye movement, hallucination, and cortical gray matter volume in people with schizophrenia.

Authors:  Linlin Qiu; Hao Yan; Risheng Zhu; Jun Yan; Huishu Yuan; Yonghua Han; Weihua Yue; Lin Tian; Dai Zhang
Journal:  BMC Psychiatry       Date:  2018-07-13       Impact factor: 3.630

  4 in total

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