Evidence map›Paper›PMID 42678993›Full record

ArticlePLoS biology2026

Impaired midfrontal‑motor theta phase synchronization characterizes maladaptive motivational behavior in people with obsessive‑compulsive disorder.

Yu Pang, Dongsheng Zhou, Ziwen Peng, Wanting Liu, Ruojie Huang, Carol A Seger, Qi Chen

Abstract read
In one paragraph

Article in PLoS biology, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yu PangSchool of Psychology, South China Normal University, Guangzhou, China.ORCID https://orcid.org/0009-0003-6168-0994
Dongsheng ZhouDepartment of Psychiatry, Zhejiang Key Laboratory of Drug Addiction & Brain Health, Affiliated Kangning Hospital of Ningbo University (Ningbo Kangning Hospital), Ningbo, China.
Ziwen PengSchool of Psychology, South China Normal University, Guangzhou, China.
Wanting LiuSchool of Psychology, South China Normal University, Guangzhou, China.
Ruojie HuangSchool of Psychology, Key Laboratory of Brain Cognition and Emotional Health of Guangdong Higher Education Institutes, and Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, China.
Carol A SegerSchool of Psychology, South China Normal University, Guangzhou, China.
Qi ChenSchool of Psychology, Key Laboratory of Brain Cognition and Emotional Health of Guangdong Higher Education Institutes, and Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, China.ORCID https://orcid.org/0000-0003-0440-5163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obsessive‑compulsive disorder (OCD) is characterized by an insight‑action dissociation, in which people with OCD recognize that their behavior is irrational but still struggle to inhibit habitual responses. This dissociation may be related to abnormally strong motivational biases, reflected in excessive tendencies to approach reward and avoid punishment. We employed a motivational Go/NoGo learning task, combined with computational modeling and electroencephalography (EEG), to investigate how 36 people with OCD and 37 healthy controls (HC) regulate maladaptive biases during motivated action. People with OCD showed stronger Pavlovian bias and lower learning rates. Similar to HC, people with OCD also showed increased midfrontal theta power related to conflict detection and to the generation of a control demand to increase the weighting of instrumental action values during choice, suggesting that they were able to detect the mismatch between their behavior and task goals. However, in OCD, conflict‑related theta enhancement overlapped with the response window, indicating that control signals emerged or arrived too late to effectively influence choice. Midfrontal‑motor theta phase synchrony provided the strongest model evidence for the modulation of maladaptive biases in OCD, yet this pathway showed no significant conflict‑related enhancement and failed to effectively modulate motivational biases under conflict. Taken together, these findings suggest a neural mechanism underlying the insight‑action dissociation in OCD and identify midfrontal‑motor theta phase synchrony as a potential treatment target.

Indexed as

Frontal LobeMotivationObsessive-Compulsive DisorderTheta RhythmAdultCase-Control StudiesElectroencephalographyFemaleHumansMaleRewardYoung Adult

Identifiers

PMID42678993
PMCPMC13568527

What OpenQuestion holds

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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.