Literature DB >> 19199412

Sources of top-down control in visual search.

Ralph Weidner1, Joseph Krummenacher, Brit Reimann, Hermann J Müller, Gereon R Fink.   

Abstract

Endogenous control of visual search can influence search guidance at the level of a supradimensional topographic saliency map [Wolfe, J. M. Guided Search 2.0: A revised model of visual search. Psychonomic Bulletin & Review, 1, 202-238, 1994], and modulate nonspatial mechanisms coding saliency in dimension-specific input modules [Müller, H. J., Reimann, B., & Krummenacher, J. Visual search for singleton feature targets across dimensions: Stimulus- and expectancy-driven effects in dimensional weighting. Journal of Experimental Psychology: Human Perception and Performance, 29, 1021-1035, 2003]. The current experiment used fMRI to dissociate these mechanisms in a singleton feature search task in which the likely target dimension (color or orientation) was semantically precued and target saliency in each dimension was varied parametrically. BOLD signal increases associated with increased demands for top-down guidance were observed within the fronto-parietal attention network and in the right anterior middle frontal gyrus. Decreasing requirements for top-down control led to BOLD signal increases in medial anterior prefrontal cortex, consistent with a gating mechanism in favor of stimulus-related processing [Burgess, P. W., Dumontheil, I., & Gilbert, S. J. The gateway hypothesis of rostral prefrontal cortex (area 10) function. Trends in Cognitive Sciences, 11, 290-298, 2007]. Another network of brain areas consisting of left lateral fronto-polar cortex, the left supramarginal gyrus, and the cerebellum, as well as a bilateral network consisting of the posterior orbital gyrus, the inferior frontal gyrus, and the pre-SMA were associated with top-down dimensional (re-) orienting. These data argue in favor of distinct endogenous control systems for visuospatial and dimension-based attentional processing. Finally, cue validity modulated saliency processing in the left temporo-parietal junction (TPJ), pointing to a crucial role of the left TPJ in integrating an endogenous dimension-based attention set with bottom-up saliency signals.

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Year:  2009        PMID: 19199412     DOI: 10.1162/jocn.2008.21173

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


  19 in total

1.  Contextual knowledge configures attentional control networks.

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2.  Parietal cortex integrates contextual and saliency signals during the encoding of natural scenes in working memory.

Authors:  Valerio Santangelo; Simona Arianna Di Francesco; Serena Mastroberardino; Emiliano Macaluso
Journal:  Hum Brain Mapp       Date:  2015-09-03       Impact factor: 5.038

3.  Impact of antipsychotic treatment on attention and motor learning systems in first-episode schizophrenia.

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4.  Influence of task instructions and stimuli on the neural network of face processing: An ALE meta-analysis.

Authors:  Veronika I Müller; Yvonne Höhner; Simon B Eickhoff
Journal:  Cortex       Date:  2018-03-22       Impact factor: 4.027

5.  Visual search and the aging brain: discerning the effects of age-related brain volume shrinkage on alertness, feature binding, and attentional control.

Authors:  Eva M Müller-Oehring; Tilman Schulte; Torsten Rohlfing; Adolf Pfefferbaum; Edith V Sullivan
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6.  Common and distinct neural correlates of inhibitory dysregulation: stroop fMRI study of cocaine addiction and intermittent explosive disorder.

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7.  Axonal varicosity density as an index of local neuronal interactions.

Authors:  Zi-Wei Zhang; Jun Il Kang; Elvire Vaucher
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Review 8.  Re-evaluating the role of TPJ in attentional control: contextual updating?

Authors:  Joy J Geng; Simone Vossel
Journal:  Neurosci Biobehav Rev       Date:  2013-08-30       Impact factor: 8.989

9.  Neural effects of auditory distraction on visual attention in schizophrenia.

Authors:  Jason Smucny; Donald C Rojas; Lindsay C Eichman; Jason R Tregellas
Journal:  PLoS One       Date:  2013-04-01       Impact factor: 3.240

10.  What is Bottom-Up and What is Top-Down in Predictive Coding?

Authors:  Karsten Rauss; Gilles Pourtois
Journal:  Front Psychol       Date:  2013-05-17
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