Literature DB >> 11506648

Attention mechanisms in visual search -- an fMRI study.

U Leonards1, S Sunaert, P Van Hecke, G A Orban.   

Abstract

The human visual system is usually confronted with many different objects at a time, with only some of them reaching consciousness. Reaction-time studies have revealed two different strategies by which objects are selected for further processing: an automatic, efficient search process, and a conscious, so-called inefficient search [Treisman, A. (1991). Search, similarity, and integration of features between and within dimensions. Journal of Experimental Psychology: Human Perception and Performance, 17, 652--676; Treisman, A., & Gelade, G. (1980). A feature integration theory of attention. Cognitive Psychology, 12, 97--136; Wolfe, J. M. (1996). Visual search. In H. Pashler (Ed.), Attention. London: University College London Press]. Two different theories have been proposed to account for these search processes. Parallel theories presume that both types of search are treated by a single mechanism that is modulated by attentional and computational demands. Serial theories, in contrast, propose that parallel processing may underlie efficient search, but inefficient searching requires an additional serial mechanism, an attentional "spotlight" (Treisman, A., 1991) that successively shifts attention to different locations in the visual field. Using functional magnetic resonance imaging (fMRI), we show that the cerebral networks involved in efficient and inefficient search overlap almost completely. Only the superior frontal region, known to be involved in working memory [Courtney, S. M., Petit, L., Maisog, J. M., Ungerleider, L. G., & Haxby, J. V. (1998). An area specialized for spatial working memory in human frontal cortex. Science, 279, 1347--1351], and distinct from the frontal eye fields, that control spatial shifts of attention, was specifically involved in inefficient search. Activity modulations correlated with subjects' behavior best in the extrastriate cortical areas, where the amount of activity depended on the number of distracting elements in the display. Such a correlation was not observed in the parietal and frontal regions, usually assumed as being involved in spatial attention processing. These results can be interpreted in two ways: the most likely is that visual search does not require serial processing, otherwise we must assume the existence of a serial searchlight that operates in the extrastriate cortex but differs from the visuospatial shifts of attention involving the parietal and frontal regions.

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Year:  2000        PMID: 11506648     DOI: 10.1162/089892900564073

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  36 in total

1.  Multisensory cortical processing of object shape and its relation to mental imagery.

Authors:  Minming Zhang; Valerie D Weisser; Randall Stilla; S C Prather; K Sathian
Journal:  Cogn Affect Behav Neurosci       Date:  2004-06       Impact factor: 3.282

2.  The left occipitotemporal cortex does not show preferential activity for words.

Authors:  Alecia C Vogel; Steven E Petersen; Bradley L Schlaggar
Journal:  Cereb Cortex       Date:  2012-01-10       Impact factor: 5.357

3.  Efficient "pop-out" visual search elicits sustained broadband γ activity in the dorsal attention network.

Authors:  Tomas Ossandón; Juan R Vidal; Carolina Ciumas; Karim Jerbi; Carlos M Hamamé; Sarang S Dalal; Olivier Bertrand; Lorella Minotti; Philippe Kahane; Jean-Philippe Lachaux
Journal:  J Neurosci       Date:  2012-03-07       Impact factor: 6.167

4.  Perception and action selection dissociate human ventral and dorsal cortex.

Authors:  Akiko Ikkai; Trenton A Jerde; Clayton E Curtis
Journal:  J Cogn Neurosci       Date:  2010-05-13       Impact factor: 3.225

5.  Cortical regions involved in eye movements, shifts of attention, and gaze perception.

Authors:  Marie-Hélène Grosbras; Angela R Laird; Tomás Paus
Journal:  Hum Brain Mapp       Date:  2005-05       Impact factor: 5.038

6.  Adult age differences in the functional neuroanatomy of visual attention: a combined fMRI and DTI study.

Authors:  David J Madden; Julia Spaniol; Wythe L Whiting; Barbara Bucur; James M Provenzale; Roberto Cabeza; Leonard E White; Scott A Huettel
Journal:  Neurobiol Aging       Date:  2006-02-24       Impact factor: 4.673

7.  Different activation patterns for working memory load and visual attention load.

Authors:  D Tomasi; L Chang; E C Caparelli; T Ernst
Journal:  Brain Res       Date:  2006-12-12       Impact factor: 3.252

8.  Amount of lifetime video gaming is positively associated with entorhinal, hippocampal and occipital volume.

Authors:  S Kühn; J Gallinat
Journal:  Mol Psychiatry       Date:  2013-08-20       Impact factor: 15.992

9.  Impairment of attentional networks after 1 night of sleep deprivation.

Authors:  D Tomasi; R L Wang; F Telang; V Boronikolas; M C Jayne; G-J Wang; J S Fowler; N D Volkow
Journal:  Cereb Cortex       Date:  2008-05-14       Impact factor: 5.357

10.  Sex differences in sensory gating of the thalamus during auditory interference of visual attention tasks.

Authors:  D Tomasi; L Chang; E C Caparelli; T Ernst
Journal:  Neuroscience       Date:  2007-12-15       Impact factor: 3.590

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