Literature DB >> 34226708

Healthful choices depend on the latency and rate of information accumulation.

Nicolette J Sullivan1, Scott A Huettel2.   

Abstract

The drift diffusion model provides a parsimonious explanation of decisions across neurobiological, psychological and behavioural levels of analysis. Although most drift diffusion model implementations assume that only a single value guides decisions, choices often involve multiple attributes that could make separable contributions to choice. Here we fit incentive-compatible dietary choices to a multi-attribute, time-dependent drift diffusion model, in which taste and health could differentially influence the evidence accumulation process. We find that these attributes shaped both the relative value signal and the latency of evidence accumulation in a manner consistent with participants' idiosyncratic preferences. Moreover, by using a dietary prime, we showed how a healthy choice intervention alters multi-attribute, time-dependent drift diffusion model parameters that in turn predict prime-dependent choices. Our results reveal that different decision attributes make separable contributions to the strength and timing of evidence accumulation, providing new insights into the construction of interventions to alter the processes of choice.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2021        PMID: 34226708     DOI: 10.1038/s41562-021-01154-0

Source DB:  PubMed          Journal:  Nat Hum Behav        ISSN: 2397-3374


  38 in total

1.  The time course of perceptual choice: the leaky, competing accumulator model.

Authors:  M Usher; J L McClelland
Journal:  Psychol Rev       Date:  2001-07       Impact factor: 8.934

2.  Neural computations that underlie decisions about sensory stimuli.

Authors:  J I. Gold; M N. Shadlen
Journal:  Trends Cogn Sci       Date:  2001-01-01       Impact factor: 20.229

3.  Visual fixations and the computation and comparison of value in simple choice.

Authors:  Ian Krajbich; Carrie Armel; Antonio Rangel
Journal:  Nat Neurosci       Date:  2010-09-12       Impact factor: 24.884

Review 4.  Optimal decision-making theories: linking neurobiology with behaviour.

Authors:  Rafal Bogacz
Journal:  Trends Cogn Sci       Date:  2007-02-02       Impact factor: 20.229

5.  Quality of evidence for perceptual decision making is indexed by trial-to-trial variability of the EEG.

Authors:  Roger Ratcliff; Marios G Philiastides; Paul Sajda
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-02       Impact factor: 11.205

6.  Informing cognitive abstractions through neuroimaging: the neural drift diffusion model.

Authors:  Brandon M Turner; Leendert van Maanen; Birte U Forstmann
Journal:  Psychol Rev       Date:  2015-04       Impact factor: 8.934

7.  Magnetoencephalography decoding reveals structural differences within integrative decision processes.

Authors:  Eran Eldar; Gyung Jin Bae; Zeb Kurth-Nelson; Peter Dayan; Raymond J Dolan
Journal:  Nat Hum Behav       Date:  2018-09-07

Review 8.  Diffusion Decision Model: Current Issues and History.

Authors:  Roger Ratcliff; Philip L Smith; Scott D Brown; Gail McKoon
Journal:  Trends Cogn Sci       Date:  2016-03-05       Impact factor: 20.229

9.  Eye tracking and pupillometry are indicators of dissociable latent decision processes.

Authors:  James F Cavanagh; Thomas V Wiecki; Angad Kochar; Michael J Frank
Journal:  J Exp Psychol Gen       Date:  2014-02-17

10.  Neural control of voluntary movement initiation.

Authors:  D P Hanes; J D Schall
Journal:  Science       Date:  1996-10-18       Impact factor: 47.728

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  1 in total

1.  Peer presence increases the prosocial behavior of adolescents by speeding the evaluation of outcomes for others.

Authors:  Nicolette J Sullivan; Rosa Li; Scott A Huettel
Journal:  Sci Rep       Date:  2022-04-20       Impact factor: 4.996

  1 in total

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