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Neural mechanisms of object-based attention

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 25 Apr 2014 Italy Publisher:Association for Research in Vision and Ophthalmology (ARVO)Journal:Journal of Vision, volume 14, pages 1,119-1,119 (eissn: 1534-7362,

Authors: Baldauf, Daniel; Desimone, Robert;

doi: 10.1167/14.10.1119 , 10.1126/science.1247003

pmid: 24763592

handle: 11572/152233 , 11572/152353

Neural mechanisms of object-based attention

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Abstract

House or Face? The neural mechanisms of spatial attention are well known, unlike nonspatial attention. Baldauf and Desimone (p. 424 , published online 10 April) combined several technologies to identify a fronto-temporal network in humans that mediates nonspatial object-based attention. There is a clear top-down directionality of these oscillatory interactions, establishing the inferior-frontal cortex as a key source of nonspatial attentional inputs to the inferior-temporal cortex. Surprisingly, the mechanisms for nonspatial attention are strikingly parallel to the mechanisms of spatial attention.

Country

Italy

Related Organizations

Massachusetts Institute of Technology
United States
University of Trento
Italy
McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
United States

Keywords

Adult, Male, Brain Mapping, Brain, Magnetoencephalography, Magnetic Resonance Imaging, Functional Laterality, Temporal Lobe, Frontal Lobe, Young Adult, Diffusion Tensor Imaging, Visual Perception, Adult; Brain; Brain Mapping; Diffusion Tensor Imaging; Female; Frontal Lobe; Functional Laterality; Humans; Magnetic Resonance Imaging; Magnetoencephalography; Male; Temporal Lobe; Visual Cortex; Visual Perception; Young Adult; Attention; Multidisciplinary; History and Philosophy of Science; Medicine (all), Humans, Attention, Female, Visual Cortex

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 0.1%