Literature DB >> 17671104

Mechanisms of feature- and space-based attention: response modulation and baseline increases.

Stephanie A McMains1, Hilda M Fehd, Tatiana-Aloi Emmanouil, Sabine Kastner.   

Abstract

Selective attention modulates neural activity in the visual system both in the presence and in the absence of visual stimuli. When subjects direct attention to a particular location in a visual scene in anticipation of the stimulus onset, there is an increase in baseline activity. How do such baseline increases relate to the attentional modulation of stimulus-driven activity? Using functional magnetic resonance imaging, we demonstrate that baseline increases related to the expectation of motion or color stimuli at a peripheral target location do not predict the modulation of neural responses evoked by these stimuli when attended. In areas such as MT and TEO that were more effectively activated by one stimulus type than the other, attentional modulation of visually evoked activity depended on the stimulus preference of a visual area and was stronger for the effective than for the noneffective stimulus. In contrast, baseline increases did not reflect the stimulus preference of a visual area. Rather, these signals were shown to be spatially specific and appeared to be dominated by the location information and not by the feature information of the cue with the experimental paradigms under study. These findings provide evidence that baseline increases in visual cortex during cue periods do not reflect the activation of a memory template that includes particular stimulus properties of the expected target, but rather carry information about the location of an expected target stimulus. In addition, when the stimulus contained both color and motion, an object-based attention effect was observed, with significant attentional modulation in the area that responded preferentially to the unattended feature.

Mesh:

Year:  2007        PMID: 17671104     DOI: 10.1152/jn.00538.2007

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  41 in total

1.  The effect of attention on neuronal responses to high and low contrast stimuli.

Authors:  Joonyeol Lee; John H R Maunsell
Journal:  J Neurophysiol       Date:  2010-06-10       Impact factor: 2.714

2.  Effect of feature-selective attention on neuronal responses in macaque area MT.

Authors:  X Chen; K-P Hoffmann; T D Albright; A Thiele
Journal:  J Neurophysiol       Date:  2011-12-14       Impact factor: 2.714

3.  Tagging cortical networks in emotion: a topographical analysis.

Authors:  Andreas Keil; Vincent Costa; J Carson Smith; Dean Sabatinelli; E Menton McGinnis; Margaret M Bradley; Peter J Lang
Journal:  Hum Brain Mapp       Date:  2011-09-23       Impact factor: 5.038

4.  What does the dot-probe task measure? A reverse correlation analysis of electrocortical activity.

Authors:  Nina N Thigpen; L Forest Gruss; Steven Garcia; David R Herring; Andreas Keil
Journal:  Psychophysiology       Date:  2018-01-03       Impact factor: 4.016

5.  The role of early visual cortex in visual short-term memory and visual attention.

Authors:  Shani Offen; Denis Schluppeck; David J Heeger
Journal:  Vision Res       Date:  2008-03-07       Impact factor: 1.886

Review 6.  Top-down and bottom-up mechanisms in biasing competition in the human brain.

Authors:  Diane M Beck; Sabine Kastner
Journal:  Vision Res       Date:  2008-08-30       Impact factor: 1.886

7.  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

8.  Attending to What and Where: Background Connectivity Integrates Categorical and Spatial Attention.

Authors:  Alexa Tompary; Naseem Al-Aidroos; Nicholas B Turk-Browne
Journal:  J Cogn Neurosci       Date:  2018-05-23       Impact factor: 3.225

9.  Feature selection in the human brain: electrophysiological correlates of sensory enhancement and feature integration.

Authors:  Andreas Keil; Matthias M Müller
Journal:  Brain Res       Date:  2009-12-11       Impact factor: 3.252

10.  Anticipatory suppression of nonattended locations in visual cortex marks target location and predicts perception.

Authors:  Chad M Sylvester; Anthony I Jack; Maurizio Corbetta; Gordon L Shulman
Journal:  J Neurosci       Date:  2008-06-25       Impact factor: 6.167

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