Literature DB >> 32404279

Stimulation of the vagus nerve reduces learning in a go/no-go reinforcement learning task.

Anne Kühnel1, Vanessa Teckentrup2, Monja P Neuser2, Quentin J M Huys3, Caroline Burrasch2, Martin Walter4, Nils B Kroemer5.   

Abstract

When facing decisions to approach rewards or to avoid punishments, we often figuratively go with our gut, and the impact of metabolic states such as hunger on motivation are well documented. However, whether and how vagal feedback signals from the gut influence instrumental actions is unknown. Here, we investigated the effect of non-invasive transcutaneous auricular vagus nerve stimulation (taVNS) vs. sham (randomized cross-over design) on approach and avoidance behavior using an established go/no-go reinforcement learning paradigm in 39 healthy human participants (23 female) after an overnight fast. First, mixed-effects logistic regression analysis of choice accuracy showed that taVNS acutely impaired decision-making, p = .041. Computational reinforcement learning models identified the cause of this as a reduction in the learning rate through taVNS (∆α = -0.092, pboot = .002), particularly after punishment (∆αPun = -0.081, pboot = .012 vs. ∆αRew =-0.031, pboot = .22). However, taVNS had no effect on go biases, Pavlovian response biases or response time. Hence, taVNS appeared to influence learning rather than action execution. These results highlight a novel role of vagal afferent input in modulating reinforcement learning by tuning the learning rate according to homeostatic needs.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Computational modeling; Instrumental action; Metabolic state; Reinforcement learning; tVNS

Year:  2020        PMID: 32404279     DOI: 10.1016/j.euroneuro.2020.03.023

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  4 in total

Review 1.  How we decide what to eat: Toward an interdisciplinary model of gut-brain interactions.

Authors:  Hilke Plassmann; Daniela Stephanie Schelski; Marie-Christine Simon; Leonie Koban
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2021-05-11

2.  The Computational, Pharmacological, and Physiological Determinants of Sensory Learning under Uncertainty.

Authors:  Rebecca P Lawson; James Bisby; Camilla L Nord; Neil Burgess; Geraint Rees
Journal:  Curr Biol       Date:  2020-11-13       Impact factor: 10.834

3.  Vagus nerve stimulation boosts the drive to work for rewards.

Authors:  Monja P Neuser; Vanessa Teckentrup; Anne Kühnel; Manfred Hallschmid; Martin Walter; Nils B Kroemer
Journal:  Nat Commun       Date:  2020-07-16       Impact factor: 14.919

4.  Motivational learning biases are differentially modulated by genetic determinants of striatal and prefrontal dopamine function.

Authors:  Anni Richter; Lieke de Boer; Marc Guitart-Masip; Gusalija Behnisch; Constanze I Seidenbecher; Björn H Schott
Journal:  J Neural Transm (Vienna)       Date:  2021-07-24       Impact factor: 3.575

  4 in total

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