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Neural correlates of evidence accumulation during value-based decisions revealed via simultaneous EEG-fMRI

Author

Listed:
  • M. Andrea Pisauro

    (Institute of Neuroscience and Psychology, University of Glasgow)

  • Elsa Fouragnan

    (Institute of Neuroscience and Psychology, University of Glasgow
    University of Oxford)

  • Chris Retzler

    (Institute of Neuroscience and Psychology, University of Glasgow
    University of Huddersfield)

  • Marios G. Philiastides

    (Institute of Neuroscience and Psychology, University of Glasgow)

Abstract

Current computational accounts posit that, in simple binary choices, humans accumulate evidence in favour of the different alternatives before committing to a decision. Neural correlates of this accumulating activity have been found during perceptual decisions in parietal and prefrontal cortex; however the source of such activity in value-based choices remains unknown. Here we use simultaneous EEG–fMRI and computational modelling to identify EEG signals reflecting an accumulation process and demonstrate that the within- and across-trial variability in these signals explains fMRI responses in posterior-medial frontal cortex. Consistent with its role in integrating the evidence prior to reaching a decision, this region also exhibits task-dependent coupling with the ventromedial prefrontal cortex and the striatum, brain areas known to encode the subjective value of the decision alternatives. These results further endorse the proposition of an evidence accumulation process during value-based decisions in humans and implicate the posterior-medial frontal cortex in this process.

Suggested Citation

  • M. Andrea Pisauro & Elsa Fouragnan & Chris Retzler & Marios G. Philiastides, 2017. "Neural correlates of evidence accumulation during value-based decisions revealed via simultaneous EEG-fMRI," Nature Communications, Nature, vol. 8(1), pages 1-9, August.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms15808
    DOI: 10.1038/ncomms15808
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    Cited by:

    1. Clithero, John A., 2018. "Response times in economics: Looking through the lens of sequential sampling models," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 61-86.
    2. Qi Huang & Zhibing Xiao & Qianqian Yu & Yuejia Luo & Jiahua Xu & Yukun Qu & Raymond Dolan & Timothy Behrens & Yunzhe Liu, 2024. "Replay-triggered brain-wide activation in humans," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    3. Ulrik W. Nash, 2018. "Fair Odds for Noisy Probabilities," Papers 1811.12516, arXiv.org.
    4. Tarryn Balsdon & Marios G. Philiastides, 2024. "Confidence control for efficient behaviour in dynamic environments," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    5. Casado-Aranda, Luis-Alberto & Dimoka, Angelika & Sánchez-Fernández, Juan, 2019. "Consumer Processing of Online Trust Signals: A Neuroimaging Study," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 159-180.
    6. repec:cup:judgdm:v:16:y:2021:i:6:p:1464-1484 is not listed on IDEAS
    7. Joshua Hascher & Nitisha Desai & Ian Krajbich, 2021. "Incentivized and non-incentivized liking ratings outperform willingness-to-pay in predicting choice," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(6), pages 1464-1484, November.
    8. Bansal, Prateek & Kim, Eui-Jin & Ozdemir, Semra, 2024. "Discrete choice experiments with eye-tracking: How far we have come and ways forward," Journal of choice modelling, Elsevier, vol. 51(C).

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