Evidence map›Paper›PMID 36028608›Full record

ArticleBehavior research methods2023

Methods in cognitive pupillometry: Design, preprocessing, and statistical analysis.

Sebastiaan Mathôt, Ana Vilotijević

Abstract read
In one paragraph

Article in Behavior research methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing 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

110 citing papers in PubMed.

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  4. Observational
  5. Beyond vigilance: A dual-process perspective on visual sustained attention.Cognitive, affective & behavioral neuroscience · 2026
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  9. Atypical Attentional Effort During Visual Search in Autistic Adults: Evidence From Task-Evoked Pupillary Responses.Autism research : official journal of the International Society for Autism Research · 2026
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  13. A Hitchhiker's Guide to Physical and Cognitive Effort.Sports medicine (Auckland, N.Z.) · 2026
    Review
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  20. Arousal state modulates human hippocampal ripples.bioRxiv : the preprint server for biology · 2026
    Article

50 more citing papers are in PubMed but not listed here.

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

2 authors.

Sebastiaan MathôtDepartment of Psychology, University of Groningen, Grote Kruisstraat 2/1, 9712TS, Groningen, The Netherlands. s.mathot@rug.nl.
Ana VilotijevićDepartment of Psychology, University of Groningen, Grote Kruisstraat 2/1, 9712TS, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive pupillometry is the measurement of pupil size to investigate cognitive processes such as attention, mental effort, working memory, and many others. Currently, there is no commonly agreed-upon methodology for conducting cognitive-pupillometry experiments, and approaches vary widely between research groups and even between different experiments from the same group. This lack of consensus makes it difficult to know which factors to consider when conducting a cognitive-pupillometry experiment. Here we provide a comprehensive, hands-on guide to methods in cognitive pupillometry, with a focus on trial-based experiments in which the measure of interest is the task-evoked pupil response to a stimulus. We cover all methodological aspects of cognitive pupillometry: experimental design, preprocessing of pupil-size data, and statistical techniques to deal with multiple comparisons when testing pupil-size data. In addition, we provide code and toolboxes (in Python) for preprocessing and statistical analysis, and we illustrate all aspects of the proposed workflow through an example experiment and example scripts.

Indexed as

AttentionResearch DesignCognitionHumansMemory, Short-TermPupilCognitive neuroscienceCognitive psychologyData analysisExperimental designPupillometry

Identifiers

PMID36028608
PMCPMC10556184

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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.