Evidence map›Paper›PMID 38795241›Full record

ArticleChild psychiatry and human development2026

Altered Error Monitoring and Decreased Flanker Task Accuracy in Pediatric Obsessive-Compulsive Disorder.

Gregory L Hanna, Yanni Liu, Lauren G Rentschler, Barbara S Hanna, Paul D Arnold, William J Gehring

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Article in Child psychiatry and human development, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Gregory L HannaDepartment of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI, 48109-5766, USA. ghanna@med.umich.edu.ORCID http://orcid.org/0000-0002-0742-6990
Yanni LiuDepartment of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI, 48109-5766, USA.
Lauren G RentschlerDepartment of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI, 48109-5766, USA.
Barbara S HannaDepartment of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI, 48109-5766, USA.
Paul D ArnoldMathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, T2N 4N1, Canada.
William J GehringDepartment of Psychology, University of Michigan, Ann Arbor, MI, 48109, USA.

Funding

National Institute of Health R01MH101493
6 · The paper itself

Abstract

The error-related negativity (ERN) and error positivity (Pe) are components of the event-related potential following an error that are potential mechanistic biomarkers of obsessive-compulsive disorder (OCD). The study examined the ERN, Pe, flanker task accuracy, and clinical measures in 105 OCD cases and 105 matched healthy controls (HC) ages 8-18 years. Higher flanker task accuracy in all participants was associated with an increased ERN amplitude and increased difference between Pe and correct positivity amplitudes (ΔPe). Compared to HC, OCD cases had an increased ERN but decreased ΔPe and flanker task accuracy. Those differences were also significant in tic-related and non-tic-related OCD cases compared to HC. A lower ΔPe was associated in cases with an earlier age at OCD symptom onset. The results support the hypothesis that OCD involves defects in an error monitoring system and suggest a reduced ΔPe may compromise error signaling and cause uncertainty about the correctness of a response.

Indexed as

Evoked PotentialsExecutive FunctionObsessive-Compulsive DisorderPsychomotor PerformanceAdolescentCase-Control StudiesChildElectroencephalographyFemaleHumansMaleError positivityError-related negativityFlanker taskObsessive–compulsive disorderTic disorderYouth

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Registered trials

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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.