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      Attentional dynamics during free picture viewing: Evidence from oculomotor behavior and electrocortical activity

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          Abstract

          Most empirical evidence on attentional control is based on brief presentations of rather abstract stimuli. Results revealed indications for a dynamic interplay between bottom-up and top-down attentional mechanisms. Here we used a more naturalistic task to examine temporal signatures of attentional mechanisms on fine and coarse time scales. Subjects had to inspect digitized copies of 60 paintings, each shown for 40 s. We simultaneously measured oculomotor behavior and electrophysiological correlates of brain activity to compare early and late intervals (1) of inspection time of each picture (picture viewing) and (2) of the full experiment (time on task). For picture viewing, we found an increase in fixation duration and a decrease of saccadic amplitude while these parameters did not change with time on task. Furthermore, early in picture viewing we observed higher spatial and temporal similarity of gaze behavior. Analyzing electrical brain activity revealed changes in three components (C1, N1 and P2) of the eye fixation-related potential (EFRP); during picture viewing; no variation was obtained for the power in the frontal beta- and in the theta activity. Time on task analyses demonstrated no effects on the EFRP amplitudes but an increase of power in the frontal theta and beta band activity. Thus, behavioral and electrophysiological measures similarly show characteristic changes during picture viewing, indicating a shifting balance of its underlying (bottom-up and top-down) attentional mechanisms. Time on task also modulated top-down attention but probably represents a different attentional mechanism.

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          Most cited references54

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          High-resolution EEG mapping of cortical activation related to working memory: effects of task difficulty, type of processing, and practice.

          Changes in cortical activity during working memory tasks were examined with electroencephalograms (EEGs) sampled from 115 channels and spatially sharpened with magnetic resonance imaging (MRI)-based finite element deblurring. Eight subjects performed tasks requiring comparison of each stimulus to a preceding one on verbal or spatial attributes. A frontal midline theta rhythm increased in magnitude with increased memory load. Dipole models localized this signal to the region of the anterior cingulate cortex. A slow (low-frequency), parietocentral, alpha signal decreased with increased working memory load. These signals were insensitive to the type of stimulus attribute being processed. A faster (higher-frequency), occipitoparietal, alpha signal was relatively attenuated in the spatial version of the task, especially over the posterior right hemisphere. Theta and alpha signals increased, and overt performance improved, after practice on the tasks. Increases in theta with both increased task difficulty and with practice suggests that focusing attention required more effort after an extended test session. Decreased alpha in the difficult tasks indicates that this signal is inversely related to the amount of cortical resources allocated to task performance. Practice-related increases in alpha suggest that fewer cortical resources are required after skill development. These results serve: (i) to dissociate the effects of task difficulty and practice; (ii) to differentiate the involvement of posterior cortex in spatial versus verbal tasks; (iii) to localize frontal midline theta to the anteromedial cortex; and (iv) to demonstrate the feasibility of using anatomical MRIs to remove the blurring effect of the skull and scalp from the ongoing EEG. The results are discussed with respect to those obtained in a prior study of transient evoked potentials during working memory.
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            Top-down and bottom-up control of visual selection.

            The present paper argues for the notion that when attention is spread across the visual field in the first sweep of information through the brain visual selection is completely stimulus-driven. Only later in time, through recurrent feedback processing, volitional control based on expectancy and goal set will bias visual selection in a top-down manner. Here we review behavioral evidence as well as evidence from ERP, fMRI, TMS and single cell recording consistent with stimulus-driven selection. Alternative viewpoints that assume a large role for top-down processing are discussed. It is argued that in most cases evidence supporting top-down control on visual selection in fact demonstrates top-down control on processes occurring later in time, following initial selection. We conclude that top-down knowledge regarding non-spatial features of the objects cannot alter the initial selection priority. Only by adjusting the size of the attentional window, the initial sweep of information through the brain may be altered in a top-down way. Copyright © 2010 Elsevier B.V. All rights reserved.
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              Human gaze control during real-world scene perception.

              In human vision, acuity and color sensitivity are best at the point of fixation, and the visual-cognitive system exploits this fact by actively controlling gaze to direct fixation towards important and informative scene regions in real time as needed. How gaze control operates over complex real-world scenes has recently become of central concern in several core cognitive science disciplines including cognitive psychology, visual neuroscience, and machine vision. This article reviews current approaches and empirical findings in human gaze control during real-world scene perception.
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                Author and article information

                Journal
                Front Syst Neurosci
                Front Syst Neurosci
                Front. Syst. Neurosci.
                Frontiers in Systems Neuroscience
                Frontiers Media S.A.
                1662-5137
                04 June 2013
                2013
                : 7
                : 17
                Affiliations
                [1] 1Engineering Psychology and Applied Cognitive Research, Department of Psychology, Technische Universitaet Dresden Germany
                [2] 2Department of Cognitive Studies, Kurchatov Institute Moscow, Russia
                [3] 3Brain Research Unit and MEG Core, O.V. Lounasmaa Laboratory, School of Science, Aalto University Espoo, Finland
                Author notes

                Edited by: Andrey R. Nikolaev, KU Leuven, Belgium

                Reviewed by: José M. Delgado-García, University Pablo de Olavide, Spain; Anne Guérin-Dugué, GIPSA-Lab, France

                *Correspondence: Thomas Fischer, Applied Cognitive Research/Psychology III, Dresden University of Technology, Helmholtzstrasse 10, 01069 Dresden, Germany e-mail: thomas.fischer@ 123456tu-dresden.de
                Article
                10.3389/fnsys.2013.00017
                3671178
                23759704
                4b354468-2001-4502-936c-387666cac6e8
                Copyright © 2013 Fischer, Graupner, Velichkovsky and Pannasch.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.

                History
                : 01 March 2013
                : 06 May 2013
                Page count
                Figures: 3, Tables: 1, Equations: 0, References: 78, Pages: 9, Words: 8164
                Categories
                Neuroscience
                Original Research Article

                Neurosciences
                eye fixation-related potentials,saccadic eye movements,top-down attention,bottom-up attention,sustained attention,eeg

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