scholarly journals The response to symmetry in extrastriate areas and its time course are modulated by selective attention

2020 ◽  
Vol 177 ◽  
pp. 68-75
Author(s):  
Marco Bertamini ◽  
Giulia Rampone ◽  
John Tyson-Carr ◽  
Alexis D.J. Makin
2016 ◽  
Vol 28 (4) ◽  
pp. 643-655 ◽  
Author(s):  
Matthias M. Müller ◽  
Mireille Trautmann ◽  
Christian Keitel

Shifting attention from one color to another color or from color to another feature dimension such as shape or orientation is imperative when searching for a certain object in a cluttered scene. Most attention models that emphasize feature-based selection implicitly assume that all shifts in feature-selective attention underlie identical temporal dynamics. Here, we recorded time courses of behavioral data and steady-state visual evoked potentials (SSVEPs), an objective electrophysiological measure of neural dynamics in early visual cortex to investigate temporal dynamics when participants shifted attention from color or orientation toward color or orientation, respectively. SSVEPs were elicited by four random dot kinematograms that flickered at different frequencies. Each random dot kinematogram was composed of dashes that uniquely combined two features from the dimensions color (red or blue) and orientation (slash or backslash). Participants were cued to attend to one feature (such as color or orientation) and respond to coherent motion targets of the to-be-attended feature. We found that shifts toward color occurred earlier after the shifting cue compared with shifts toward orientation, regardless of the original feature (i.e., color or orientation). This was paralleled in SSVEP amplitude modulations as well as in the time course of behavioral data. Overall, our results suggest different neural dynamics during shifts of attention from color and orientation and the respective shifting destinations, namely, either toward color or toward orientation.


2018 ◽  
Vol 30 (11) ◽  
pp. 1606-1619 ◽  
Author(s):  
Andrea Olguin ◽  
Tristan A. Bekinschtein ◽  
Mirjana Bozic

We examined how attention modulates the neural encoding of continuous speech under different types of interference. In an EEG experiment, participants attended to a narrative in English while ignoring a competing stream in the other ear. Four different types of interference were presented to the unattended ear: a different English narrative, a narrative in a language unknown to the listener (Spanish), a well-matched nonlinguistic acoustic interference (Musical Rain), and no interference. Neural encoding of attended and unattended signals was assessed by calculating cross-correlations between their respective envelopes and the EEG recordings. Findings revealed more robust neural encoding for the attended envelopes compared with the ignored ones. Critically, however, the type of the interfering stream significantly modulated this process, with the fully intelligible distractor (English) causing the strongest encoding of both attended and unattended streams and latest dissociation between them and nonintelligible distractors causing weaker encoding and early dissociation between attended and unattended streams. The results were consistent over the time course of the spoken narrative. These findings suggest that attended and unattended information can be differentiated at different depths of processing analysis, with the locus of selective attention determined by the nature of the competing stream. They provide strong support to flexible accounts of auditory selective attention.


Author(s):  
Martin Eimer

Event-related brain potential (ERP) measures have made important contributions to our understanding of the mechanisms of selective attention. This chapter provides a selective and non-technical review of some of these contributions. It will concentrate mainly on research that has studied spatially selective attentional processing in vision, although research on crossmodal links in spatial attention will also be discussed. The main purpose of this chapter is to illustrate how ERP methods have helped to provide answers to major theoretical questions that have shaped research on selective attention in the past 40 years.


2008 ◽  
Vol 46 (11) ◽  
pp. 1238-1243 ◽  
Author(s):  
Jennifer L. Kellough ◽  
Christopher G. Beevers ◽  
Alissa J. Ellis ◽  
Tony T. Wells

2008 ◽  
Vol 20 (12) ◽  
pp. 2238-2249 ◽  
Author(s):  
Simon Baumann ◽  
Martin Meyer ◽  
Lutz Jäncke

Instrumental tones and, in some instances, simple sine-wave tones were shown to evoke stronger auditory-evoked responses in musicians compared to nonmusicians. This effect was taken as an example for plasticity in the auditory cortex elicited by training. To date, however, it is unknown whether an enlarged cortical representation for (instrumental) tones or increased neuronal activity provoked by focused attention in musicians accounts for the reported difference. In an attempt to systematically investigate the influence of attention on the processing of simple sine wave and instrumental tones, we compared auditory-evoked potentials recorded from musicians and nonmusicians. During the electroencephalogram recording, the participants were involved in tasks requiring selective attention to specific sound features such as pitch or timbre. Our results demonstrate that the effect of selective attention on the auditory event-related potential (AEP) has a different time course and shows a different topography than the reproduced effect of music expertise at the N1 component or the previously demonstrated effect at the P2 component. N1 peak potentials were unaffected by attention modulation. These results indicate that the effect of music expertise, which was traced by current density mapping to the auditory cortex, is not primarily caused by selective attention, and it supports the view that increased AEPs on tones in musicians reflect an enlarged neuronal representation for specific sound features of these tones. However, independent from the N1–P2 complex, attention evoked an Nd-like negative component in musicians but not in nonmusicians, which suggests that plasticity also affects top–down processes.


2018 ◽  
Vol 33 (7) ◽  
pp. 1481-1488 ◽  
Author(s):  
Manuel G. Calvo ◽  
Aida Gutiérrez-García ◽  
Andrés Fernández-Martín

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