Bi-directional effect of increasing doses of baclofen on reinforcement learning

In rodents as well as in humans, efficient reinforcement learning depends on dopamine (DA) released from ventral tegmental area (VTA) neurons. It has been shown that in brain slices of mice, GABA(B)-receptor agonists at low concentrations increase the firing frequency of VTA-DA neurons, while high c...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in behavioral neuroscience Vol. 5; p. 40
Main Authors Terrier, Jean, Ort, Andres, Yvon, Cédric, Saj, Arnaud, Vuilleumier, Patrik, Lüscher, Christian
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 22.07.2011
Frontiers Media S.A
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:In rodents as well as in humans, efficient reinforcement learning depends on dopamine (DA) released from ventral tegmental area (VTA) neurons. It has been shown that in brain slices of mice, GABA(B)-receptor agonists at low concentrations increase the firing frequency of VTA-DA neurons, while high concentrations reduce the firing frequency. It remains however elusive whether baclofen can modulate reinforcement learning in humans. Here, in a double-blind study in 34 healthy human volunteers, we tested the effects of a low and a high concentration of oral baclofen, a high affinity GABA(B)-receptor agonist, in a gambling task associated with monetary reward. A low (20 mg) dose of baclofen increased the efficiency of reward-associated learning but had no effect on the avoidance of monetary loss. A high (50 mg) dose of baclofen on the other hand did not affect the learning curve. At the end of the task, subjects who received 20 mg baclofen p.o. were more accurate in choosing the symbol linked to the highest probability of earning money compared to the control group (89.55 ± 1.39 vs. 81.07 ± 1.55%, p = 0.002). Our results support a model where baclofen, at low concentrations, causes a disinhibition of DA neurons, increases DA levels and thus facilitates reinforcement learning.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
Edited by: Riccardo Brambilla, San Raffaele Scientific Institute and University, Italy
Reviewed by: Carmen Sandi, École Polytechnique Fédérale de Lausanne, Switzerland; Nicola Canessa, Vita-Salute San Raffaele University, Italy
Jean Terrier and Andres Ort have contributed equally to this work.
ISSN:1662-5153
1662-5153
DOI:10.3389/fnbeh.2011.00040