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Article Dans Une Revue Brain Sciences Année : 2020

Event-Related Potentials (ERP) Indices of Motivation during the Effort Expenditure for Reward Task

Julie Giustiniani
Magali Nicolier
Juliana Teti Mayer
Thibault Chabin
Caroline Masse
  • Fonction : Auteur
Nathan Galmès
  • Fonction : Auteur
Lionel Pazart
Benoit Trojak
  • Fonction : Auteur
Djamila Bennabi
  • Fonction : Auteur
Pierre Vandel
  • Fonction : Auteur
  • PersonId : 910812
Emmanuel Haffen
Damien Gabriel

Résumé

Dynamic and temporal facets of the various constructs that comprise motivation remain to be explored. Here, we adapted the Effort Expenditure for Reward Task, a well-known laboratory task used to evaluate motivation, to study the event-related potentials associated with reward processing. The Stimulus Preceding Negativity (SPN) and the P300 were utilized as motivation indicators with high density electroencephalography. The SPN was found to be more negative for difficult choices compared to easy choices, suggesting a greater level of motivation, at a neurophysiological level. The insula, a structure previously associated with both effort discounting and prediction error, was concomitantly activated during the generation of the SPN. Processing a gain significantly altered the amplitude of the P300 compared to an absence of gain, particularly on centroparietal electrodes. One of the generators of the P300 was located on the vmPFC, a cerebral structure involved in the choice between two positive results and their predictions, during loss processing. Both the SPN and the P300 appear to be reliable neural markers of motivation. We postulate that the SPN represents the strength of the motivational level, while the P300 represents the impact of motivation on updating memories of the feedback.

Dates et versions

hal-03656188 , version 1 (01-05-2022)

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Citer

Julie Giustiniani, Magali Nicolier, Juliana Teti Mayer, Thibault Chabin, Caroline Masse, et al.. Event-Related Potentials (ERP) Indices of Motivation during the Effort Expenditure for Reward Task. Brain Sciences, 2020, 10 (5), pp.283. ⟨10.3390/brainsci10050283⟩. ⟨hal-03656188⟩

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