Evidence map›Paper›PMID 42495526›Full record

ArticleiScience2026

Obsessive-compulsive tendencies shift the balance between competitive neurocognitive functions.

Bianka Brezóczki, Teodóra Vékony, Bence Csaba Farkas, Flóra Hann, Dezső Németh

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Bianka BrezóczkiDoctoral School of Psychology, ELTE Eötvös Loránd University, 1064 Budapest, Hungary.
Teodóra VékonyGran Canaria Cognitive Research Center, Department of Education and Psychology, Atlántico Medio University, 35017 Las Palmas de Gran Canaria, Spain.
Bence Csaba FarkasLNC2, Département d'études Cognitives, École Normale Supérieure, INSERM, PSL Research University, 94807 Paris, France.
Flóra HannDoctoral School of Psychology, ELTE Eötvös Loránd University, 1064 Budapest, Hungary.
Dezső NémethGran Canaria Cognitive Research Center, Department of Education and Psychology, Atlántico Medio University, 35017 Las Palmas de Gran Canaria, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obsessive-compulsive disorder (OCD) has been theorized to reflect an imbalance between automatic and goal-directed processes. However, evidence for this imbalance has relied almost exclusively on reward- and feedback-based paradigms, leaving unsupervised learning mechanisms largely unexplored. We investigated this imbalance by examining the relationship between statistical learning (SL) -a feedback-free, implicit mechanism for detecting environmental regularities - and cognitive flexibility, the ability to adapt behavior to changing demands. Adopting a spectrum approach to obsessive-compulsive (OC) tendencies, a total of 404 university students completed an online probabilistic sequence learning task and a card-sorting task. Results revealed an antagonistic relationship between SL and cognitive flexibility, such that stronger SL was associated with lower cognitive flexibility. Crucially, this inverse association weakened with increasing OC tendencies. These findings provide the first evidence that OC tendencies alter the interplay between automatic and goal-directed functions in a purely unsupervised learning context, extending current theoretical frameworks beyond supervised and reward-dependent paradigms.

Indexed as

cognitive flexibilitycompetitive memory systemsobsessive-compulsive disorderspectrum approachstatistical learning

Identifiers

PMID42495526
PMCPMC13393783

What OpenQuestion holds

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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.