Literature DB >> 22933800

The selectivity of task-dependent attention varies with surrounding context.

Yee-Joon Kim1, Preeti Verghese.   

Abstract

Attention is thought to operate by enhancing the target of interest and suppressing the surroundings. We hypothesized that the spatial profile of attention depends on the surround's relationship to the target. Using high-density electroencephalographic measurements, we examined the spatial profile of attention to a grating target surrounded by an annular grating that was either coextensive with the target (unsegmented) or appeared segmented from it due to a gap or phase offset. We directly probed the spread of attention from the central target into the surround by flickering the surround and monitoring frequency-tagged steady-state visual-evoked potentials. Observers were required to detect a contrast increment that occurred only on the target. Successful detection of the increment required selecting the target and suppressing the surround, particularly when the target did not readily segment from the surround. The profile of attention was investigated in five visual regions of interest (ROIs) (V1, V4, V3A, lateral occipital complex, and human middle temporal area), mapped in a separate anatomical magnetic resonance imaging scan. We found that in most ROIs, attention to the target generated smaller responses from the surrounding annulus when it was contiguous compared with when it was clearly segmented. This result shows that the profile of attention depends on task demands and on surrounding context; attention is tightly focused when the target region needs to be isolated but loosely focused when the target region is clearly segmented.

Entities:  

Mesh:

Year:  2012        PMID: 22933800      PMCID: PMC6621517          DOI: 10.1523/JNEUROSCI.5992-11.2012

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  15 in total

1.  Oscillatory recruitment of bilateral visual cortex during spatial attention to competing rhythmic inputs.

Authors:  Michael J Gray; Hans-Peter Frey; Tommy J Wilson; John J Foxe
Journal:  J Neurosci       Date:  2015-04-08       Impact factor: 6.167

2.  Changing the spatial scope of attention alters patterns of neural gain in human cortex.

Authors:  Sirawaj Itthipuripat; Javier O Garcia; Nuttida Rungratsameetaweemana; Thomas C Sprague; John T Serences
Journal:  J Neurosci       Date:  2014-01-01       Impact factor: 6.167

3.  Functional MRI and EEG Index Complementary Attentional Modulations.

Authors:  Sirawaj Itthipuripat; Thomas C Sprague; John T Serences
Journal:  J Neurosci       Date:  2019-05-24       Impact factor: 6.167

4.  Temporal dynamics of divided spatial attention.

Authors:  Sirawaj Itthipuripat; Javier O Garcia; John T Serences
Journal:  J Neurophysiol       Date:  2013-02-06       Impact factor: 2.714

5.  Electrophysiological indices of surround suppression in humans.

Authors:  M Isabel Vanegas; Annabelle Blangero; Simon P Kelly
Journal:  J Neurophysiol       Date:  2014-11-19       Impact factor: 2.714

6.  Attention to Multiple Objects Facilitates Their Integration in Prefrontal and Parietal Cortex.

Authors:  Yee-Joon Kim; Jeffrey J Tsai; Jeffrey Ojemann; Preeti Verghese
Journal:  J Neurosci       Date:  2017-04-14       Impact factor: 6.167

7.  A frequency-tagging electrophysiological method to identify central and peripheral visual field deficits.

Authors:  Noémie Hébert-Lalonde; Lionel Carmant; Dima Safi; Marie-Sylvie Roy; Maryse Lassonde; Dave Saint-Amour
Journal:  Doc Ophthalmol       Date:  2014-05-10       Impact factor: 2.379

Review 8.  Steady-state visual evoked potentials as a research tool in social affective neuroscience.

Authors:  Matthias J Wieser; Vladimir Miskovic; Andreas Keil
Journal:  Psychophysiology       Date:  2016-10-04       Impact factor: 4.016

9.  Attention selects informative neural populations in human V1.

Authors:  Preeti Verghese; Yee-Joon Kim; Alex R Wade
Journal:  J Neurosci       Date:  2012-11-14       Impact factor: 6.167

Review 10.  How to use fMRI functional localizers to improve EEG/MEG source estimation.

Authors:  Benoit R Cottereau; Justin M Ales; Anthony M Norcia
Journal:  J Neurosci Methods       Date:  2014-08-01       Impact factor: 2.390

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