Evidence map›Paper›PMID 41233463›Full record

ArticleScientific reports2025

Brain signal complexity tracks mind-wandering and visual perceptual learning.

Louisa Krile, Ford Burles, Kuljeet Chohan, Maddie Kelly, Julia W Y Kam, Andrea B Protzner

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Cognitive Processing and EEG Complexity.Entropy (Basel, Switzerland) · 2026
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Louisa KrileDepartment of Psychology, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada.
Ford BurlesDepartment of Psychology, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada.
Kuljeet ChohanDepartment of Psychology, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada.
Maddie KellyDepartment of Psychology, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada.
Julia W Y Kam *Department of Psychology, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada.
Andrea B Protzner *Department of Psychology, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada. protzner@ucalgary.ca.

Funding

Natural Sciences and Engineering Research Council of Canada 05299-2020Natural Sciences and Engineering Research Council of Canada 2020-00076
6 · The paper itself

Abstract

Often characterized as thoughts unrelated to the ongoing task, mind-wandering occupies up to 50% of our waking hours and impacts neural and behavioural functioning. Until now, research has focused on the impact of mind-wandering on immediate task performance, but its relationship to neural states that support learning-related gains over time remains unclear. Previous research examining brain signal complexity during task performance showed that periods of mind-wandering were associated with higher signal complexity compared with on-task states, reflecting increased neural flexibility. The primary aim of this study was to investigate whether higher signal complexity associated with mind-wandering may represent a flexible neural state conducive to longer-term learning. Twenty-six adults underwent electroencephalography recording while performing a visual texture discrimination task before and after a training period, with their attention state probed throughout the task. Task performance improved and N1 and P3 event-related potential (ERP) amplitudes were modulated significantly following training (p's < 0.01). Moreover, greater pre- and post-training mind-wandering, better post-training performance, and larger ERP amplitudes were all associated with higher signal complexity (p's < 0.05). Overall, these results suggest that greater engagement in mind-wandering is linked to a high-flexibility brain state that supports longer-term learning in low-level perceptual tasks.

Indexed as

AttentionBrainLearningVisual PerceptionAdultElectroencephalographyEvoked PotentialsFemaleHumansMaleYoung AdultBrain signal complexityElectroencephalography (EEG)Mind-wanderingMultiscale entropy (MSE)Texture discrimination task (TDT)Visual perceptual learning

Identifiers

PMID41233463
PMCPMC12615671

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.