Evidence map›Paper›PMID 35427732›Full record

ReviewProgress in neurobiology2022

Ten simple rules to study distractor suppression.

Malte Wöstmann, Viola S Störmer, Jonas Obleser, Douglas A Addleman, Søren K Andersen, Nicholas Gaspelin, Joy J Geng, Steven J Luck, MaryAnn P Noonan, Heleen A Slagter and 1 more

Abstract readReview
In one paragraph

Review in Progress in neurobiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Signal suppression makes search less effortful.Cognitive, affective & behavioral neuroscience · 2026
    Article
  6. Rapid Inversion of Singleton Distractor Representations Underlies Learned Attentional Suppression.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Dissociable Pupil and Oculomotor Markers of Attention Allocation and Distractor Suppression during Listening.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Does Amplitude Compression Help or Hinder Attentional Neural Speech Tracking?The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  20. 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

11 authors.

Malte WöstmannDepartment of Psychology, University of Lübeck, Lübeck, Germany; Center of Brain, Behavior and Metabolism (CBBM), University of Lübeck, Lübeck, Germany. Electronic address: malte.woestmann@uni-luebeck.de.
Viola S StörmerDepartment of Psychological and Brain Sciences, Dartmouth College, USA. Electronic address: viola.s.stoermer@dartmouth.edu.
Jonas ObleserDepartment of Psychology, University of Lübeck, Lübeck, Germany; Center of Brain, Behavior and Metabolism (CBBM), University of Lübeck, Lübeck, Germany.
Douglas A AddlemanDepartment of Psychological and Brain Sciences, Dartmouth College, USA.
Søren K AndersenSchool of Psychology, University of Aberdeen, UK; Department of Psychology, University of Southern Denmark, Denmark.
Nicholas GaspelinDepartment of Psychology and Department of Integrative Neuroscience, Binghamton University, State University of New York, USA.
Joy J GengCenter for Mind and Brain and Department of Psychology, University of California, Davis, USA.
Steven J LuckCenter for Mind and Brain and Department of Psychology, University of California, Davis, USA.
MaryAnn P NoonanDepartment of Experimental Psychology, University of Oxford, UK.
Heleen A SlagterDepartment of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Institute for Brain and Behavior, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Jan TheeuwesDepartment of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Institute for Brain and Behavior, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Distractor suppression refers to the ability to filter out distracting and task-irrelevant information. Distractor suppression is essential for survival and considered a key aspect of selective attention. Despite the recent and rapidly evolving literature on distractor suppression, we still know little about how the brain suppresses distracting information. What limits progress is that we lack mutually agreed upon principles of how to study the neural basis of distractor suppression and its manifestation in behavior. Here, we offer ten simple rules that we believe are fundamental when investigating distractor suppression. We provide guidelines on how to design conclusive experiments on distractor suppression (Rules 1-3), discuss different types of distractor suppression that need to be distinguished (Rules 4-6), and provide an overview of models of distractor suppression and considerations of how to evaluate distractor suppression statistically (Rules 7-10). Together, these rules provide a concise and comprehensive synopsis of promising advances in the field of distractor suppression. Following these rules will propel research on distractor suppression in important ways, not only by highlighting prominent issues to both new and more advanced researchers in the field, but also by facilitating communication between sub-disciplines.

Indexed as

AttentionBrainHumansattentiondistractorenhancementinhibitionsuppressiontarget

Identifiers

PMID35427732
PMCPMC9069241

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.