Literature DB >> 21196511

The effects of visuospatial attention measured across visual cortex using source-imaged, steady-state EEG.

Thomas Z Lauritzen1, Justin M Ales, Alex R Wade.   

Abstract

How does attention alter neural responses? Decades of electrophysiological measurements in non-human primates as well as human EEG and fMRI studies have shown that spatial attention modulates firing rates across the visual cortex, but the computations that drive this process are still unclear. Further, while it is well known that attention affects perception, we have only a limited understanding of the link between attentionally driven changes in neural firing rates and subject performance. Here we used a novel human neuroimaging method to measure the effect of spatial attention on neural responses in V1, hMT+, hV4, and the intraparietal sulcus (IPS). Attention altered signals in different ways across the visual cortex: areas V1, hMT+, and IPS exhibited primarily response gain changes while hV4 showed contrast gain modulation. Signals in V1, hMT+, and IPS correlated with contrast detection performance suggesting that behavior can be predicted by population-level signals as early as striate cortex.

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Mesh:

Year:  2010        PMID: 21196511     DOI: 10.1167/10.14.39

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  26 in total

1.  The attentional field revealed by single-voxel modeling of fMRI time courses.

Authors:  Alexander M Puckett; Edgar A DeYoe
Journal:  J Neurosci       Date:  2015-03-25       Impact factor: 6.167

Review 2.  The steady-state visual evoked potential in vision research: A review.

Authors:  Anthony M Norcia; L Gregory Appelbaum; Justin M Ales; Benoit R Cottereau; Bruno Rossion
Journal:  J Vis       Date:  2015       Impact factor: 2.240

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.  Attentional dynamics of infant visual foraging.

Authors:  Steven S Robertson; Sarah Enos Watamura; Makeba Parramore Wilbourn
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-25       Impact factor: 11.205

5.  Sensory gain outperforms efficient readout mechanisms in predicting attention-related improvements in behavior.

Authors:  Sirawaj Itthipuripat; Edward F Ester; Sean Deering; John T Serences
Journal:  J Neurosci       Date:  2014-10-01       Impact factor: 6.167

6.  Visual sensory processing deficits in schizophrenia: is there anything to the magnocellular account?

Authors:  Edmund C Lalor; Pierfilippo De Sanctis; Menahem I Krakowski; John J Foxe
Journal:  Schizophr Res       Date:  2012-06-15       Impact factor: 4.939

Review 7.  Visual attention mitigates information loss in small- and large-scale neural codes.

Authors:  Thomas C Sprague; Sameer Saproo; John T Serences
Journal:  Trends Cogn Sci       Date:  2015-03-11       Impact factor: 20.229

8.  Contrast Normalization Accounts for Binocular Interactions in Human Striate and Extra-striate Visual Cortex.

Authors:  Chuan Hou; Spero C Nicholas; Preeti Verghese
Journal:  J Neurosci       Date:  2020-02-14       Impact factor: 6.167

9.  Having More Choices Changes How Human Observers Weight Stable Sensory Evidence.

Authors:  Sirawaj Itthipuripat; Kexin Cha; Sean Deering; Annalisa M Salazar; John T Serences
Journal:  J Neurosci       Date:  2018-08-24       Impact factor: 6.167

10.  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

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