Evidence map›Paper›PMID 41528515›Full record

ArticlePsychological research2026

Interplay between switching, inhibition, and mental attention: An exploratory eye-tracking study.

Zhanna Chuikova, Anna Izmalkova, Andriy Myachykov, Anastasiia Liashenko, Yury Shtyrov, Marie Arsalidou

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Article in Psychological research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Zhanna ChuikovaCognitive Health and Intelligence Centre, Institute for Cognitive Neuroscience, HSE University, Moscow, Russian Federation. zhanna7496@mail.ru.ORCID http://orcid.org/0000-0001-7419-7510
Anna IzmalkovaCognitive Health and Intelligence Centre, Institute for Cognitive Neuroscience, HSE University, Moscow, Russian Federation.ORCID http://orcid.org/0000-0001-5563-077X
Andriy MyachykovCognitive Health and Intelligence Centre, Institute for Cognitive Neuroscience, HSE University, Moscow, Russian Federation.ORCID http://orcid.org/0000-0002-1489-8582
Anastasiia LiashenkoCognitive Health and Intelligence Centre, Institute for Cognitive Neuroscience, HSE University, Moscow, Russian Federation.ORCID http://orcid.org/0000-0001-7081-7110
Yury ShtyrovCognitive Health and Intelligence Centre, Institute for Cognitive Neuroscience, HSE University, Moscow, Russian Federation.ORCID http://orcid.org/0000-0001-7203-4902
Marie ArsalidouYork University, Toronto, Canada. marie.arsalidou@gmail.com.ORCID http://orcid.org/0000-0001-9879-3894

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive flexibility (CF) allows individuals to adapt their behavior to changing environmental demands. As task complexity increases, CF may substantially impact performance by facilitating a shift towards more efficient information processing strategies. However, its role in tasks with high cognitive demands remains largely unexplored. Furthermore, while CF is associated with inhibitory control and working memory functions, their precise relationship under task demands is not yet fully understood. To address this gap, we investigated how CF and inhibition metrics are associated with different levels of mental attentional demand (Md), as well as СF. Additionally, we explored differences in eye-movement indices associated with high and low CF in tasks with varied levels of Md. Analyzing data from 42 young participants performing CF, inhibition, and mental attention tasks with eye movement recording for the last task, we found that multidimensional switching (i.e., switching between three rules) correlated with mental attentional capacity, whereas two-dimensional switching (i.e., switching between two rules) correlated with inhibitory control. Individuals with low and high switching scores differed in task performance and eye-movement patterns of mental attentional demand (i.e., difficulty). Specifically, those with high efficiency in multidimensional switching exhibited superior performance across all levels of mental attentional demand. Further, high-efficiency performers employed eye-movement patterns characterized by an increased number of fixations, shorter fixation durations, and decreased blink rates, with significant differences observed at higher levels of mental-attention demand. Our findings offer new insights into psychophysiological metrics related to higher-order cognitive processes, discussed in terms of cognitive theory and practical significance.

Indexed as

AttentionCognitive FlexibilityExecutive FunctionEye MovementsInhibition, PsychologicalAdolescentAdultEye-Tracking TechnologyFemaleHumansMaleMemory, Short-TermYoung AdultCognitive flexibilityCognitive loadEye movementsMental attention

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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.