Evidence map›Paper›PMID 28923918›Full record

Trial reportProceedings of the National Academy of Sciences of the United States of America2017

Continuous track paths reveal additive evidence integration in multistep decision making.

Cristian Buc Calderon, Myrtille Dewulf, Wim Gevers, Tom Verguts

Abstract readClinical Trial
In one paragraph

Trial report in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Trial-by-trial detection of cognitive events in neural time-series.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  4. Article
  5. Article
  6. Transfer of information across repeated decisions in general and in obsessive-compulsive disorder.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

4 authors.

Cristian Buc CalderonCentre for Research in Cognition and Neurosciences (CRCN), ULB Neuroscience Institute (UNI), Faculté de Psychologie et Sciences de l'Éducation, Université Libre de Bruxelles, 1050 Brussels, Belgium; cristian.buc.calderon@vub.ac.be.
Myrtille DewulfCentre for Research in Cognition and Neurosciences (CRCN), ULB Neuroscience Institute (UNI), Faculté de Psychologie et Sciences de l'Éducation, Université Libre de Bruxelles, 1050 Brussels, Belgium.
Wim GeversCentre for Research in Cognition and Neurosciences (CRCN), ULB Neuroscience Institute (UNI), Faculté de Psychologie et Sciences de l'Éducation, Université Libre de Bruxelles, 1050 Brussels, Belgium.
Tom VergutsDepartment of Experimental Psychology, Ghent University, 9000 Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multistep decision making pervades daily life, but its underlying mechanisms remain obscure. We distinguish four prominent models of multistep decision making, namely serial stage, hierarchical evidence integration, hierarchical leaky competing accumulation (HLCA), and probabilistic evidence integration (PEI). To empirically disentangle these models, we design a two-step reward-based decision paradigm and implement it in a reaching task experiment. In a first step, participants choose between two potential upcoming choices, each associated with two rewards. In a second step, participants choose between the two rewards selected in the first step. Strikingly, as predicted by the HLCA and PEI models, the first-step decision dynamics were initially biased toward the choice representing the highest sum/mean before being redirected toward the choice representing the maximal reward (i.e., initial dip). Only HLCA and PEI predicted this initial dip, suggesting that first-step decision dynamics depend on additive integration of competing second-step choices. Our data suggest that potential future outcomes are progressively unraveled during multistep decision making.

Indexed as

Models, PsychologicalAdultChoice BehaviorFemaleHumansMalecomputational modelingmultistep decision makingreaching task

Identifiers

PMID28923918
PMCPMC5635910

What OpenQuestion holds

Textmetadata
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.