Evidence map›Paper›PMID 30873437›Full record

ArticleNature human behaviour2019

Multimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learning.

Vasilis M Karlaftis, Joseph Giorgio, Petra E Vértes, Rui Wang, Yuan Shen, Peter Tino, Andrew E Welchman, Zoe Kourtzi

Registry-linked trialAbstract read
In one paragraph

Article in Nature human behaviour, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05611788 (Structure Learning Training and Cognitive Flexibility), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

NCT05611788 nacompletednot on this mapstarted 2022, after this paper: background citation

Structure Learning Training and Cognitive Flexibility

TypeinterventionalSponsorNanyang Technological UniversityRan2022 to 2023Enrolled108ConditionsHealthyArmsStructure Learning Training
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Visual Statistical Learning Alters Low-Dimensional Cortical Architecture.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Confidence of probabilistic predictions modulates the cortical response to pain.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Flexible structure learning under uncertainty.Frontiers in neuroscience · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

8 authors.

Vasilis M KarlaftisDepartment of Psychology, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-1285-1593
Joseph GiorgioDepartment of Psychology, University of Cambridge, Cambridge, UK.
Petra E VértesDepartment of Psychiatry, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK.
Rui WangKey Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Yuan ShenSchool of Science and Technology, Nottingham Trent University, Nottingham, UK.
Peter TinoSchool of Computer Science, University of Birmingham, Birmingham, UK.
Andrew E WelchmanDepartment of Psychology, University of Cambridge, Cambridge, UK.
Zoe KourtziDepartment of Psychology, University of Cambridge, Cambridge, UK. zk240@cam.ac.uk.ORCID http://orcid.org/0000-0001-9441-7832

Funding

Biotechnology and Biological Sciences Research Council BB/H012508/1Biotechnology and Biological Sciences Research Council BB/P021255/1Medical Research Council MR/K020706/1Wellcome Trust 095183Wellcome Trust 205067
6 · The paper itself

Abstract

Successful human behaviour depends on the brain's ability to extract meaningful structure from information streams and make predictions about future events. Individuals can differ markedly in the decision strategies they use to learn the environment's statistics, yet we have little idea why. Here, we investigate whether the brain networks involved in learning temporal sequences without explicit reward differ depending on the decision strategy that individuals adopt. We demonstrate that individuals alter their decision strategy in response to changes in temporal statistics and engage dissociable circuits: extracting the exact sequence statistics relates to plasticity in motor corticostriatal circuits, while selecting the most probable outcomes relates to plasticity in visual, motivational and executive corticostriatal circuits. Combining graph metrics of functional and structural connectivity, we provide evidence that learning-dependent changes in these circuits predict individual decision strategy. Our findings propose brain plasticity mechanisms that mediate individual ability for interpreting the structure of variable environments.

Identifiers

PMID30873437
PMCPMC6413944

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.