IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-61744-8.html
   My bibliography  Save this article

Evidence accumulation in the pre-supplementary motor area and insula drives confidence and changes of mind

Author

Listed:
  • Dorian Goueytes

    (Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS LPNC
    Université Lille, UMR 9193)

  • François Stockart

    (Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS LPNC)

  • Alexis Robin

    (Université Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences GIN
    Grenoble Hospital)

  • Lucien Gyger

    (Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS LPNC)

  • Martin Rouy

    (Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS LPNC)

  • Dominique Hoffmann

    (Grenoble Hospital)

  • Lorella Minotti

    (Université Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences GIN
    Grenoble Hospital)

  • Philippe Kahane

    (Université Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences GIN
    Grenoble Hospital)

  • Michael Pereira

    (Université Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences GIN)

  • Nathan Faivre

    (Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS LPNC)

Abstract

Evidence accumulation is a powerful mechanism to explain the temporal dynamics of decisions, as well as their metacognitive components such as confidence judgments and changes of mind. However, it is still unclear how and where in the brain evidence accumulation leads to these two metacognitive components. We report intracranial high-gamma activity in patients with epilepsy recorded while they perform a visual discrimination task and estimate their confidence level. Our results indicate an anatomical overlap between the neural correlates of evidence accumulation, confidence, and changes of mind in the pre-supplementary motor area, as well as in the orbitofrontal, inferior frontal, and insular cortices. Behavioural and electrophysiological results are reproduced with a post-decisional evidence accumulation model, and the temporal dynamics of decision-making is characterized with mouse-tracking and intracranial electrophysiology. We conclude that confidence and changes of mind result from evidence accumulation, instantiated before the decision in the pre-supplementary motor area, and after the decision in the insula.

Suggested Citation

  • Dorian Goueytes & François Stockart & Alexis Robin & Lucien Gyger & Martin Rouy & Dominique Hoffmann & Lorella Minotti & Philippe Kahane & Michael Pereira & Nathan Faivre, 2025. "Evidence accumulation in the pre-supplementary motor area and insula drives confidence and changes of mind," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61744-8
    DOI: 10.1038/s41467-025-61744-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-61744-8
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-61744-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Michael Pereira & Pierre Megevand & Mi Xue Tan & Wenwen Chang & Shuo Wang & Ali Rezai & Margitta Seeck & Marco Corniola & Shahan Momjian & Fosco Bernasconi & Olaf Blanke & Nathan Faivre, 2021. "Evidence accumulation relates to perceptual consciousness and monitoring," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    2. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    3. Sébastien Ballesta & Weikang Shi & Katherine E. Conen & Camillo Padoa-Schioppa, 2020. "Values encoded in orbitofrontal cortex are causally related to economic choices," Nature, Nature, vol. 588(7838), pages 450-453, December.
    4. Diana Burk & James N Ingram & David W Franklin & Michael N Shadlen & Daniel M Wolpert, 2014. "Motor Effort Alters Changes of Mind in Sensorimotor Decision Making," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-10, March.
    5. Arbora Resulaj & Roozbeh Kiani & Daniel M. Wolpert & Michael N. Shadlen, 2009. "Changes of mind in decision-making," Nature, Nature, vol. 461(7261), pages 263-266, September.
    6. Tomas G. Aquino & Jeffrey Cockburn & Adam N. Mamelak & Ueli Rutishauser & John P. O’Doherty, 2023. "Neurons in human pre-supplementary motor area encode key computations for value-based choice," Nature Human Behaviour, Nature, vol. 7(6), pages 970-985, June.
    7. Michael L. Platt & Paul W. Glimcher, 1999. "Neural correlates of decision variables in parietal cortex," Nature, Nature, vol. 400(6741), pages 233-238, July.
    8. Adam Kepecs & Naoshige Uchida & Hatim A. Zariwala & Zachary F. Mainen, 2008. "Neural correlates, computation and behavioural impact of decision confidence," Nature, Nature, vol. 455(7210), pages 227-231, September.
    9. Charles R. Harris & K. Jarrod Millman & Stéfan J. Walt & Ralf Gommers & Pauli Virtanen & David Cournapeau & Eric Wieser & Julian Taylor & Sebastian Berg & Nathaniel J. Smith & Robert Kern & Matti Picu, 2020. "Array programming with NumPy," Nature, Nature, vol. 585(7825), pages 357-362, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nir Moneta & Mona M. Garvert & Hauke R. Heekeren & Nicolas W. Schuck, 2023. "Task state representations in vmPFC mediate relevant and irrelevant value signals and their behavioral influence," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    2. Manuel Rausch & Michael Zehetleitner, 2019. "The folded X-pattern is not necessarily a statistical signature of decision confidence," PLOS Computational Biology, Public Library of Science, vol. 15(10), pages 1-18, October.
    3. Patricia L. Lockwood & Jo Cutler & Daniel Drew & Ayat Abdurahman & Deva Sanjeeva Jeyaretna & Matthew A. J. Apps & Masud Husain & Sanjay G. Manohar, 2024. "Human ventromedial prefrontal cortex is necessary for prosocial motivation," Nature Human Behaviour, Nature, vol. 8(7), pages 1403-1416, July.
    4. Arkady Zgonnikov & Nadim A. A. Atiya & Denis O'Hora & Iñaki Rañò & KongFatt Wong-Lin, 2019. "Beyond reach: Do symmetric changes in motor costs affect decision making? A registered report," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(4), pages 455-469, July.
    5. Wan-Yu Shih & Hsiang-Yu Yu & Cheng-Chia Lee & Chien-Chen Chou & Chien Chen & Paul W. Glimcher & Shih-Wei Wu, 2023. "Electrophysiological population dynamics reveal context dependencies during decision making in human frontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-24, December.
    6. Andrea Insabato & Mario Pannunzi & Gustavo Deco, 2017. "Multiple Choice Neurodynamical Model of the Uncertain Option Task," PLOS Computational Biology, Public Library of Science, vol. 13(1), pages 1-29, January.
    7. Daniel Richards & Thomas R. Etherington & Alexander Herzig & Sandra Lavorel, 2024. "The Importance of Spatial Configuration When Restoring Intensive Production Landscapes for Biodiversity and Ecosystem Service Multifunctionality," Land, MDPI, vol. 13(4), pages 1-21, April.
    8. Marina Martinez-Garcia & Andrea Insabato & Mario Pannunzi & Jose L Pardo-Vazquez & Carlos Acuña & Gustavo Deco, 2015. "The Encoding of Decision Difficulty and Movement Time in the Primate Premotor Cortex," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-25, November.
    9. Nathan F Lepora & Giovanni Pezzulo, 2015. "Embodied Choice: How Action Influences Perceptual Decision Making," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-22, April.
    10. Romy Frömer & Matthew R. Nassar & Benedikt V. Ehinger & Amitai Shenhav, 2024. "Common neural choice signals can emerge artefactually amid multiple distinct value signals," Nature Human Behaviour, Nature, vol. 8(11), pages 2194-2208, November.
    11. Minhao Li & Dawn S. Chen & Ian P. Junker & Fabianna I. Szorenyi & Guan Hao Chen & Arnold J. Berger & Aaron A. Comeault & Daniel R. Matute & Yun Ding, 2024. "Ancestral neural circuits potentiate the origin of a female sexual behavior in Drosophila," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    12. Sebastian Bitzer & Jelle Bruineberg & Stefan J Kiebel, 2015. "A Bayesian Attractor Model for Perceptual Decision Making," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-35, August.
    13. Carlos Alós-Ferrer & Maximilian Mihm, 2021. "Updating stochastic choice," ECON - Working Papers 381, Department of Economics - University of Zurich.
    14. Brocas, Isabelle, 2012. "Information processing and decision-making: Evidence from the brain sciences and implications for economics," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 292-310.
    15. repec:cup:judgdm:v:14:y:2019:i:4:p:455-469 is not listed on IDEAS
    16. Marika Constant & Michael Pereira & Nathan Faivre & Elisa Filevich, 2023. "Prior information differentially affects discrimination decisions and subjective confidence reports," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    17. Tan Wang & L. Jeff Hong, 2023. "Large-Scale Inventory Optimization: A Recurrent Neural Networks–Inspired Simulation Approach," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 196-215, January.
    18. JANSSENS, Jochen & DE CORTE, Annelies & SÖRENSEN, Kenneth, 2016. "Water distribution network design optimisation with respect to reliability," Working Papers 2016007, University of Antwerp, Faculty of Business and Economics.
    19. Geeraert, Joke & Rocha, Luis E.C. & Vandeviver, Christophe, 2024. "The impact of violent behavior on co-offender selection: Evidence of behavioral homophily," Journal of Criminal Justice, Elsevier, vol. 94(C).
    20. Léon Faure & Bastien Mollet & Wolfram Liebermeister & Jean-Loup Faulon, 2023. "A neural-mechanistic hybrid approach improving the predictive power of genome-scale metabolic models," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    21. Teruaki Kido & Yuko Yotsumoto & Masamichi J. Hayashi, 2025. "Hierarchical representations of relative numerical magnitudes in the human frontoparietal cortex," Nature Communications, Nature, vol. 16(1), pages 1-15, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61744-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.