Literature DB >> 19930401

The strength of anticipatory spatial biasing predicts target discrimination at attended locations: a high-density EEG study.

Simon P Kelly1, Manuel Gomez-Ramirez, John J Foxe.   

Abstract

Cueing relevant spatial locations in advance of a visual target results in modulated processing of that target as a consequence of anticipatory attentional deployment, the neural signatures of which remain to be fully elucidated. A set of electrophysiological processes has been established as candidate markers of the invocation and maintenance of attentional bias in humans. These include spatially-selective event-related potential (ERP) components over the lateral parietal (around 200-300 ms post-cue), frontal (300-500 ms) and ventral visual (> 500 ms) cortex, as well as oscillatory amplitude changes in the alpha band (8-14 Hz). Here, we interrogated the roles played by these anticipatory processes in attentional orienting by testing for links with subsequent behavioral performance. We found that both target discriminability (d') and reaction times were significantly predicted on a trial-by-trial basis by lateralization of alpha-band amplitude in the 500 ms preceding the target, with improved speed and accuracy resulting from a greater relative decrease in alpha over the contralateral visual cortex. Reaction time was also predicted by a late posterior contralateral positivity in the broad-band ERP in the same time period, but this did not influence d'. In a further analysis we sought to identify the control signals involved in generating the anticipatory bias, by testing earlier broad-band ERP amplitude for covariation with alpha lateralization. We found that stronger alpha biasing was associated with a greater bilateral frontal positivity at approximately 390 ms but not with differential amplitude across hemispheres in any time period. Thus, during the establishment of an anticipatory spatial bias, while the expected target location is strongly encoded in lateralized activity in parietal and frontal areas, a distinct non-spatial control process seems to regulate the strength of the bias.

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Year:  2009        PMID: 19930401     DOI: 10.1111/j.1460-9568.2009.06980.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  75 in total

1.  Frequency-dependent attentional modulation of local field potential signals in macaque area MT.

Authors:  Paul S Khayat; Robert Niebergall; Julio C Martinez-Trujillo
Journal:  J Neurosci       Date:  2010-05-19       Impact factor: 6.167

2.  Dynamic activation of frontal, parietal, and sensory regions underlying anticipatory visual spatial attention.

Authors:  Gregory V Simpson; Darren L Weber; Corby L Dale; Dimitrios Pantazis; Steven L Bressler; Richard M Leahy; Tracy L Luks
Journal:  J Neurosci       Date:  2011-09-28       Impact factor: 6.167

3.  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

4.  Throwing out the rules: anticipatory alpha-band oscillatory attention mechanisms during task-set reconfigurations.

Authors:  John J Foxe; Jeremy W Murphy; Pierfilippo De Sanctis
Journal:  Eur J Neurosci       Date:  2014-04-01       Impact factor: 3.386

5.  Differential functional roles of slow-wave and oscillatory-α activity in visual sensory cortex during anticipatory visual-spatial attention.

Authors:  Tineke Grent-'t-Jong; C Nicolas Boehler; J Leon Kenemans; Marty G Woldorff
Journal:  Cereb Cortex       Date:  2011-03-03       Impact factor: 5.357

6.  Dynamics of EEG rhythms support distinct visual selection mechanisms in parietal cortex: a simultaneous transcranial magnetic stimulation and EEG study.

Authors:  Paolo Capotosto; Sara Spadone; Annalisa Tosoni; Carlo Sestieri; Gian Luca Romani; Stefania Della Penna; Maurizio Corbetta
Journal:  J Neurosci       Date:  2015-01-14       Impact factor: 6.167

7.  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

8.  Individual Alpha Frequency Determines the Impact of Bottom-Up Drive on Visual Processing.

Authors:  Stephanie Nelli; Aayushi Malpani; Max Boonjindasup; John T Serences
Journal:  Cereb Cortex Commun       Date:  2021-04-26

9.  EEG Correlates of Preparatory Orienting, Contextual Updating, and Inhibition of Sensory Processing in Left Spatial Neglect.

Authors:  Stefano Lasaponara; Marianna D'Onofrio; Mario Pinto; Alessio Dragone; Dario Menicagli; Domenica Bueti; Marzia De Lucia; Francesco Tomaiuolo; Fabrizio Doricchi
Journal:  J Neurosci       Date:  2018-03-19       Impact factor: 6.167

10.  Shaping functional architecture by oscillatory alpha activity: gating by inhibition.

Authors:  Ole Jensen; Ali Mazaheri
Journal:  Front Hum Neurosci       Date:  2010-11-04       Impact factor: 3.169

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