Evidence map›Paper›PMID 33416444›Full record

ReviewJournal of cognitive neuroscience2021

Steady-State Visually Evoked Potentials and Feature-based Attention: Preregistered Null Results and a Focused Review of Methodological Considerations.

Kirsten C S Adam, Lillian Chang, Nicole Rangan, John T Serences

Abstract readReview
In one paragraph

Review in Journal of cognitive neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Strategic Distractor Suppression Improves Selective Control in Human Vision.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kirsten C S AdamUniversity of California, San Diego.
Lillian ChangGeorgetown University Medical Center.
Nicole RanganUniversity of California, San Diego.
John T SerencesUniversity of California, San Diego.

Funding

TRAINING PROGRAM IN COGNITIVE NEUROSCIENCET32MH020002 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SEJNOWSKI, TERRENCE J · 1999 to 2020
$6.1M
Adaptive population codes for flexible visually-guided behaviorsR01EY025872 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI John T Serences · 2016 to 2026
$4.5M
Georgetown University Brain and Language Training ProgramT32DC019481 · NIDCD · GEORGETOWN UNIVERSITY · PI Peter Ethan Turkeltaub · 2022 to 2026
$2.1M
NEI NIH HHS R01 EY025872NIDCD NIH HHS T32 DC019481NIMH NIH HHS T32 MH020002
6 · The paper itself

Abstract

Feature-based attention is the ability to selectively attend to a particular feature (e.g., attend to red but not green items while looking for the ketchup bottle in your refrigerator), and steady-state visually evoked potentials (SSVEPs) measured from the human EEG signal have been used to track the neural deployment of feature-based attention. Although many published studies suggest that we can use trial-by-trial cues to enhance relevant feature information (i.e., greater SSVEP response to the cued color), there is ongoing debate about whether participants may likewise use trial-by-trial cues to voluntarily ignore a particular feature. Here, we report the results of a preregistered study in which participants either were cued to attend or to ignore a color. Counter to prior work, we found no attention-related modulation of the SSVEP response in either cue condition. However, positive control analyses revealed that participants paid some degree of attention to the cued color (i.e., we observed a greater P300 component to targets in the attended vs. the unattended color). In light of these unexpected null results, we conducted a focused review of methodological considerations for studies of feature-based attention using SSVEPs. In the review, we quantify potentially important stimulus parameters that have been used in the past (e.g., stimulation frequency, trial counts) and we discuss the potential importance of these and other task factors (e.g., feature-based priming) for SSVEP studies.

Indexed as

Evoked Potentials, VisualNegative ResultsElectroencephalographyEvent-Related Potentials, P300HumansPhotic Stimulation

Identifiers

PMID33416444
PMCPMC8354379

What OpenQuestion holds

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Registered trials

None linked

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.