Evidence map›Paper›PMID 28066200›Full record

ArticleFrontiers in behavioral neuroscience2016

Slips of Action and Sequential Decisions: A Cross-Validation Study of Tasks Assessing Habitual and Goal-Directed Action Control.

Zsuzsika Sjoerds, Anja Dietrich, Lorenz Deserno, Sanne de Wit, Arno Villringer, Hans-Jochen Heinze, Florian Schlagenhauf, Annette Horstmann

Open access · goldAbstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

32 citing papers in PubMed, 57 citations in OpenAlex.

  1. Trial
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  4. Naturally disengaging control to reveal habits.Journal of experimental psychology. General · 2026
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  8. Dorsal-Ventral Reinforcement Learning Network Connectivity and Incentive-Driven Changes in Exploration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  9. Review
  10. Review
  11. Article
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  13. Computational and Neural Evidence for Altered Fast and Slow Learning from Losses in Problem Gambling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Characterizing Human Habits in the Lab.Collabra. Psychology · 2024
    Article
  20. Review
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

8 authors at 4 institutions in 2 countries.

Zsuzsika SjoerdsDepartment of Neurology, Max-Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany.
Anja DietrichDepartment of Neurology, Max-Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany.
Lorenz DesernoDepartment of Neurology, Max-Planck Institute for Human Cognitive and Brain SciencesLeipzig, Germany; Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin BerlinBerlin, Germany; Department of Neurology, Otto-von-Guericke UniversityMagdeburg, Germany.
Sanne de WitDepartment of Clinical Psychology, University of AmsterdamAmsterdam, Netherlands; Amsterdam Brain and Cognition, University of AmsterdamAmsterdam, Netherlands.
Arno VillringerDepartment of Neurology, Max-Planck Institute for Human Cognitive and Brain SciencesLeipzig, Germany; Mind and Brain Institute, Charité and Humboldt UniversityBerlin, Germany.
Hans-Jochen HeinzeDepartment of Neurology, Otto-von-Guericke UniversityMagdeburg, Germany; Department of Behavioral Neurology, Leibniz Institute for NeurobiologyMagdeburg, Germany.
Florian SchlagenhaufDepartment of Neurology, Max-Planck Institute for Human Cognitive and Brain SciencesLeipzig, Germany; Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin BerlinBerlin, Germany.
Annette HorstmannDepartment of Neurology, Max-Planck Institute for Human Cognitive and Brain SciencesLeipzig, Germany; Integrated Research and Treatment Center Adiposity Diseases, Leipzig University Medical CenterLeipzig, Germany.
Max Planck Institute for Human Cognitive and Brain Sciences · DELeibniz Institute for Neurobiology · DELeipzig University · DEUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Instrumental learning and decision-making rely on two parallel systems: a goal-directed and a habitual system. In the past decade, several paradigms have been developed to study these systems in animals and humans by means of e.g., overtraining, devaluation procedures and sequential decision-making. These different paradigms are thought to measure the same constructs, but cross-validation has rarely been investigated. In this study we compared two widely used paradigms that assess aspects of goal-directed and habitual behavior. We correlated parameters from a two-step sequential decision-making task that assesses model-based (MB) and model-free (MF) learning with a slips-of-action paradigm that assesses the ability to suppress cue-triggered, learnt responses when the outcome has been devalued and is therefore no longer desirable. MB control during the two-step task showed a very moderately positive correlation with goal-directed devaluation sensitivity, whereas MF control did not show any associations. Interestingly, parameter estimates of MB and goal-directed behavior in the two tasks were positively correlated with higher-order cognitive measures (e.g., visual short-term memory). These cognitive measures seemed to (at least partly) mediate the association between MB control during sequential decision-making and goal-directed behavior after instructed devaluation. This study provides moderate support for a common framework to describe the propensity towards goal-directed behavior as measured with two frequently used tasks. However, we have to caution that the amount of shared variance between the goal-directed and MB system in both tasks was rather low, suggesting that each task does also pick up distinct aspects of goal-directed behavior. Further investigation of the commonalities and differences between the MF and habit systems as measured with these, and other, tasks is needed. Also, a follow-up cross-validation on the neural systems driving these constructs across different paradigms would promote the definition and operationalization of measures of instrumental learning and decision-making in humans.

Indexed as

cross-validationgoal-directedhabitmodel-basedmodel-freereinforcement learningsequential decision makingslips-of-action

Identifiers

PMID28066200
PMCPMC5167743
OpenAlexW2557614148

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.