Evidence map›Paper›PMID 39130377›Full record

ArticleCurrent opinion in behavioral sciences2024

From Tripping and Falling to Ruminating and Worrying: A Meta-Control Account of Repetitive Negative Thinking.

Peter F Hitchcock, Michael J Frank

Abstract read
In one paragraph

Article in Current opinion in behavioral sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The challenge of learning adaptive mental behavior.Journal of psychopathology and clinical science · 2024
    Article
  5. 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

2 authors.

Peter F HitchcockDepartment of Psychology, Emory University, Atlanta, GA.
Michael J FrankCognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI.

Funding

Project 4_Bruchas : Circuit-level Approaches for Dissecting Approach/Avoidance Behaviors Mediated by Nociceptin Systems in MiceP50MH119467 · NIMH · MCLEAN HOSPITAL · PI GRAYBIEL, ANN M · 2020 to 2024
$15.9M
Cognitive Neurocomputational Task Reliability and Clinical Applications ConsortiumR01MH084840 · NIMH · WASHINGTON UNIVERSITY · PI Deanna Barch, Cameron S. Carter · 2008 to 2026
$8.5M
How Does Rumination Alter Learning and Choice Mechanisms in Reinforcement Learning?F32MH123055 · NIMH · BROWN UNIVERSITY · PI HITCHCOCK, PETER FRANK · 2020 to 2023
$187k
NIMH NIH HHS F32 MH123055NIMH NIH HHS P50 MH119467NIMH NIH HHS R01 MH084840
6 · The paper itself

Abstract

Repetitive negative thinking (RNT) is a transdiagnostic construct that encompasses rumination and worry, yet what precisely is shared between rumination and worry is unclear. To clarify this, we develop a meta-control account of RNT. Meta-control refers to the reinforcement and control of mental behavior via similar computations as reinforce and control motor behavior. We propose rumination and worry are coarse terms for failure in meta-control, just as tripping and falling are coarse terms for failure in motor control. We delineate four meta-control stages and risk factors increasing the chance of failure at each, including open-ended thoughts (stage 1), individual differences influencing subgoal execution (stage 2) and switching (stage 3), and challenges inherent to learning adaptive mental behavior (stage 4). Distinguishing these stages therefore elucidates diverse processes that lead to the same behavior of excessive RNT. Our account also subsumes prominent clinical accounts of RNT into a computational cognitive neuroscience framework.

Indexed as

meta-controlreinforcement learningrepetitive negative thinkingruminationtransdiagnosticworry

Identifiers

PMID39130377
PMCPMC11314892

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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.