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Neural mechanisms of spatial- and feature-based attention: a quantitative analysis.

作者信息

Stoppel Christian Michael, Boehler Carsten Nicolas, Sabelhaus Clemens, Heinze Hans-Jochen, Hopf Jens Max, Schoenfeld Mircea Ariel

机构信息

Department of Neurology II, Otto-von-Guericke-University Magdeburg, Leipziger Str. 44, 39120 Magdeburg, Germany.

出版信息

Brain Res. 2007 Nov 21;1181:51-60. doi: 10.1016/j.brainres.2007.07.019. Epub 2007 Jul 17.


DOI:10.1016/j.brainres.2007.07.019
PMID:17961522
Abstract

Attentional selection can be based on spatial locations, non-spatial stimulus features, or entire objects as integrated feature ensembles. Several studies reported attentional modulations in those regions that process the constituent features of the presented stimuli. Here we employed functional magnetic resonance imaging (fMRI) to directly compare the magnitude of space- and/or feature-based attentional modulations while subjects directed their attention to a particular color (red or green) of a transparent surface and at the same time to a spatial location (left or right visual field). The experimental design made it possible to disentangle and quantify the hemodynamic activity elicited by identical physical stimuli when attention was directed to spatial locations and/or stimulus features. The highest modulations were observed when the attentional selection was based on spatial location. Attended features also elicited a response increase relative to unattended features when their spatial location was attended. Importantly, at unattended locations, a response increase upon feature-based selection was observed in motion-sensitive but not in color-related areas. This suggests that compared to color, motion stimuli are more effective in capturing attention at unattended locations leading to a competitive advantage. These results support the idea of a high biological relevance of the feature motion in the visual world.

摘要

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引用本文的文献

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[2]
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Proc Natl Acad Sci U S A. 2024-4-16

[3]
Space- and feature-based attention operate both independently and interactively within latent components of perceptual decision making.

J Vis. 2023-1-3

[4]
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J Vis. 2020-4-9

[5]
Left-Hemispheric Asymmetry for Object-Based Attention: an ERP Study.

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[6]
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[7]
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[8]
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[9]
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[10]
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