ArticleNeuroImage2019
The time-course of component processes of selective attention.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
11 citing papers in PubMed.
- Attentional selection drives information convergence within macaque lateral prefrontal cortex.PNAS nexus · 2026Article
- Cortical Representation of Auditory Selective Attention in a Dichotic Listening Task: A Functional Near-Infrared Spectroscopy Study.Brain topography · 2025Article
- Article
- The link between executive skills and neural dynamics during encoding, inhibition, and retrieval of visual information in the elderly.Human brain mapping · 2024Article
- Trichotomy revisited: A monolithic theory of attentional control.Vision research · 2024Article
- Multiscale Functional Connectivity analysis of episodic memory reconstruction.Frontiers in cognition · 2024Article
- Strategies, debates, and adversarial collaboration in working memory: The 51st Bartlett Lecture.Quarterly journal of experimental psychology (2006) · 2023Article
- Time Courses of Attended and Ignored Object Representations.Journal of cognitive neuroscience · 2023Article
- Decoding attention control and selection in visual spatial attention.Human brain mapping · 2020Article
- Decoding the Temporal Dynamics of Covert Spatial Attention Using Multivariate EEG Analysis: Contributions of Raw Amplitude and Alpha Power.Frontiers in human neuroscience · 2020Article
- Multivariate Analysis of Electrophysiological Signals Reveals the Temporal Properties of Visuomotor Computations for Precision Grips.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Attentional selection shapes human perception, enhancing relevant information, according to behavioral goals. While many studies have investigated individual neural signatures of attention, here we used multivariate decoding of electrophysiological brain responses (MEG/EEG) to track and compare multiple component processes of selective attention. Auditory cues instructed participants to select a particular visual target, embedded within a subsequent stream of displays. Combining single and multi-item displays with different types of distractors allowed multiple aspects of information content to be decoded, distinguishing distinct components of attention, as the selection process evolved. Although the task required comparison of items to an attentional "template" held in memory, signals consistent with such a template were largely undetectable throughout the preparatory period but re-emerged after presentation of a non-target choice display. Choice displays evoked strong neural representation of multiple target features, evolving over different timescales. We quantified five distinct processing operations with different time-courses. First, visual properties of the stimulus were strongly represented. Second, the candidate target was rapidly identified and localized in multi-item displays, providing the earliest evidence of modulation by behavioral relevance. Third, the identity of the target continued to be enhanced, relative to distractors. Fourth, only later was the behavioral significance of the target explicitly represented in single-item displays. Finally, if the target was not identified and search was to be resumed, then an attentional template was weakly reactivated. The observation that an item's behavioral relevance directs attention in multi-item displays prior to explicit representation of target/non-target status in single-item displays is consistent with two-stage models of attention.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.