Literature DB >> 24381272

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

Sirawaj Itthipuripat1, Javier O Garcia, Nuttida Rungratsameetaweemana, Thomas C Sprague, John T Serences.   

Abstract

Over the last several decades, spatial attention has been shown to influence the activity of neurons in visual cortex in various ways. These conflicting observations have inspired competing models to account for the influence of attention on perception and behavior. Here, we used electroencephalography (EEG) to assess steady-state visual evoked potentials (SSVEP) in human subjects and showed that highly focused spatial attention primarily enhanced neural responses to high-contrast stimuli (response gain), whereas distributed attention primarily enhanced responses to medium-contrast stimuli (contrast gain). Together, these data suggest that different patterns of neural modulation do not reflect fundamentally different neural mechanisms, but instead reflect changes in the spatial extent of attention.

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Mesh:

Year:  2014        PMID: 24381272      PMCID: PMC3866479          DOI: 10.1523/JNEUROSCI.3943-13.2014

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


  51 in total

1.  Increased activity in human visual cortex during directed attention in the absence of visual stimulation.

Authors:  S Kastner; M A Pinsk; P De Weerd; R Desimone; L G Ungerleider
Journal:  Neuron       Date:  1999-04       Impact factor: 17.173

2.  Automatic gain control contrast mechanisms are modulated by attention in humans: evidence from visual evoked potentials.

Authors:  F Di Russo; D Spinelli; M C Morrone
Journal:  Vision Res       Date:  2001-09       Impact factor: 1.886

3.  Different attentional resources modulate the gain mechanisms for color and luminance contrast.

Authors:  M C Morrone; V Denti; D Spinelli
Journal:  Vision Res       Date:  2004-06       Impact factor: 1.886

4.  Attention induces synchronization-based response gain in steady-state visual evoked potentials.

Authors:  Yee Joon Kim; Marcia Grabowecky; Ken A Paller; Krishnakumar Muthu; Satoru Suzuki
Journal:  Nat Neurosci       Date:  2006-12-17       Impact factor: 24.884

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

Authors:  Yee-Joon Kim; Preeti Verghese
Journal:  J Neurosci       Date:  2012-08-29       Impact factor: 6.167

7.  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

8.  Individual differences in attention strategies during detection, fine discrimination, and coarse discrimination.

Authors:  David A Bridwell; Elizabeth A Hecker; John T Serences; Ramesh Srinivasan
Journal:  J Neurophysiol       Date:  2013-05-15       Impact factor: 2.714

9.  Visual cortex neurons in monkeys and cats: detection, discrimination, and identification.

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Journal:  Vis Neurosci       Date:  1997 Sep-Oct       Impact factor: 3.241

10.  A population-coding model of attention's influence on contrast response: Estimating neural effects from psychophysical data.

Authors:  Franco Pestilli; Sam Ling; Marisa Carrasco
Journal:  Vision Res       Date:  2008-11-07       Impact factor: 1.886

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  25 in total

1.  Normalization in human somatosensory cortex.

Authors:  Gijs Joost Brouwer; Vanessa Arnedo; Shani Offen; David J Heeger; Arthur C Grant
Journal:  J Neurophysiol       Date:  2015-08-26       Impact factor: 2.714

2.  Value-based attentional capture influences context-dependent decision-making.

Authors:  Sirawaj Itthipuripat; Kexin Cha; Napat Rangsipat; John T Serences
Journal:  J Neurophysiol       Date:  2015-05-20       Impact factor: 2.714

3.  When Conflict Cannot be Avoided: Relative Contributions of Early Selection and Frontal Executive Control in Mitigating Stroop Conflict.

Authors:  Sirawaj Itthipuripat; Sean Deering; John T Serences
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

4.  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

5.  Covert Attention Increases the Gain of Stimulus-Evoked Population Codes.

Authors:  Joshua J Foster; William Thyer; Janna W Wennberg; Edward Awh
Journal:  J Neurosci       Date:  2021-01-13       Impact factor: 6.167

6.  Restoring Latent Visual Working Memory Representations in Human Cortex.

Authors:  Thomas C Sprague; Edward F Ester; John T Serences
Journal:  Neuron       Date:  2016-08-03       Impact factor: 17.173

7.  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

8.  Inverted Encoding Models of Human Population Response Conflate Noise and Neural Tuning Width.

Authors:  Taosheng Liu; Dylan Cable; Justin L Gardner
Journal:  J Neurosci       Date:  2017-11-22       Impact factor: 6.167

Review 9.  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

10.  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

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