A shift of visual spatial attention is selectively associated with human EEG alpha activity

By Paul Sauseng, Wolfgang Klimesch, W. Stadler, Manuel Schabus, M. Doppelmayr, Simon Hanslmayr, W. Gruber, Niels Birbaumer. European Journal of Neuroscience, 2005

869 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/c6ee00ab27c62f0d9f9021f3598742ceef6f1bfa

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In Cognitive Neuroscience

Citations in the corpus

Prestimulus oscillations predict visual perception performance between and within subjects (2007, background): “With respect to the alpha frequency range, it has been shown that an increase in phase coupling indicates a top-down shift of attention towards a relevant stimulus (von Stein et al., 2000) or a spatial shift of attention towards a cued location ( Sauseng et al., 2005a ).”
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “EEG or MEG recordings in human studies have shown that attention is associated with a reduced EEG alpha rhythm (152, 452, 780, 845, 946, 983, 1073) and increased gamma rhythm (224, 311, 852).”
EEG alpha oscillations: the inhibition-timing hypothesis. (2007, methodology): “If, however, subjects are instructed to perform specific operations from trial to trial (as, e.g., is the case in themanipulation task used by Sauseng et al., 2005b) traveling direction is from anterior to posterior regions.”
α-Band Electroencephalographic Activity over Occipital Cortex Indexes Visuospatial Attention Bias and Predicts Visual Target Detection (2006, background): “On average, IAF of our subjects was 11.8 Hz ( 0.36 SE) giving rise to a frequency window of 7.8 –13.8 Hz, close to the analyzed frequency bands of 8 –14 Hz by Worden et al. (2000), 8 –13.5 Hz by Kelly et al. (2006), and 6.89 –14.31 by Sauseng et al. (2005).”
Physiological Signals-based Emotion Recognition via High-order Correlation Learning (2019, background): “Recent studies in fMRI and EEG [1, 22, 33] prove that there is a close link between the lower alpha band and attentional processes.”
To See or Not to See: Pre-stimulus Alpha Phase Predicts Visual Awareness (2009, background): “power suppression has been proposed to be a manifestation of controlled enhancements in attention (Worden et al., 2000; Fries et al., 2001; Sauseng et al., 2005).”
The Role of Alpha-Band Brain Oscillations as a Sensory Suppression Mechanism during Selective Attention (2011, background): “…brain mechanisms in selective attention (e.g., Vanni et al., 1997; Foxe et al., 1998; Gruber et al., 1999; Shibata et al., 1999; Sokolov et al., 1999; Worden et al., 2000; Sauseng et al., 2005; Yamagishi et al., 2005; Kelly et al., 2006; Thut et al., 2006; Rihs et al., 2007; Snyder and Foxe, 2010).”
On the Role of Prestimulus Alpha Rhythms over Occipito-Parietal Areas in Visual Input Regulation: Correlation or Causation? (2010, background): “By analogy to this baseline activity, posterior alpha power is influenced by deployment of visual spatial attention (Sauseng et al., 2005; Thut et al., 2006), leading to retinotopically organized alpha changes in accordance with the focus of attention (Worden et al., 2000; Rihs et al., 2007)…”
Brain oscillatory substrates of visual short-term memory capacity. (2009, background): “A more plausible explanation is that there was more visuospatial attention directed to a hemifield where more targets were presented, leading to stronger contralateral alpha amplitude reduction [29, 30] and therefore to increased lateralized alpha activity for conditions with a high amount of releva”
Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention (2011, background): “, [15,18,25]), we found that an alpha desynchronization and a subsequent synchronization indexes shifts of covert visual attention.”
Spontaneous fluctuations in posterior alpha-band EEG activity reflect variability in excitability of human visual areas. (2008, neutral): “…modulations of a-band activity (independently of perceptual outcome) shown to index systematic attention deployment to a lateralized position, namely differential amodulation over contra-versus ipsilateral posterior recording sites (e.g., Worden et al. 2000; Sauseng et al. 2005; Thut et al. 2006 ).”
Increases in alpha oscillatory power reflect an active retinotopic mechanism for distracter suppression during sustained visuospatial attention. (2006, background): “That the task lacked an attentional-suppression component is underlined by the fact that no difference was found in target detection rates for the cued versus uncued hemifield (Sauseng et al. 2005).”
Mechanisms of selective inhibition in visual spatial attention are indexed by α‐band EEG synchronization (2007, methodology): “Anticipatory a-desynchronization, on the other hand, has been reported to dominate when upcoming visual stimuli have to be processed independently of cued positions in the absence of concurrent distracters, i.e. when no distracter has to be ignored (Sauseng et al., 2005; Thut et al., 2006).”
Alpha Oscillations Correlate with the Successful Inhibition of Unattended Stimuli (2011, background): “cipital alpha power was reported to decrease compared with baseline contralateral to the attended hemifield (Thut et al., 2006; Sauseng et al., 2005).”
The Phase of Ongoing EEG Oscillations Predicts Visual Perception (2009, background): “…and gamma ( 30 Hz) bands, are known to accompany changes of neural response amplitude (Başar et al., 1998), attentional state (Worden et al., 2000; Sauseng et al., 2005; Thut et al., 2006; Fries et al., 2008), and perceptual performance (Ergenoglu et al., 2004; Gonzalez Andino et al., 2005;…”
Theta-Phase Connectivity between Medial Prefrontal and Posterior Areas Underlies Novel Instructions Implementation (2022, background): “…attentional resources deployment, with the putative function of gating information inflow and contributing to the creation of a functional network (Sauseng et al., 2005; Jensen and Mazaheri, 2010; Mazaheri et al., 2014; Poch et al., 2017; van Ede, 2017; Van Diepen et al., 2019; Keefe and Störmer,…”
Neural signatures of prioritization and facilitation in retrieving repeated items in visual working memory (2025, unknown): “Significantly slower response times and comparatively poor accuracy for recognizing not-repeated items suggest that they are not prioritized.”