Cholinergic and dopaminergic effects on prediction error and uncertainty responses during sensory associative learning.
Acetylcholine
Amisulpride
Basal forebrain
Biperiden
Dopamine
Hierarchical Gaussian Filter
Neuromodulation
Substantia nigra
Ventral tegmental area
fMRI
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
01 02 2021
01 02 2021
Historique:
received:
06
06
2020
revised:
20
10
2020
accepted:
19
11
2020
pubmed:
8
12
2020
medline:
2
3
2021
entrez:
7
12
2020
Statut:
ppublish
Résumé
Navigating the physical world requires learning probabilistic associations between sensory events and their change in time (volatility). Bayesian accounts of this learning process rest on hierarchical prediction errors (PEs) that are weighted by estimates of uncertainty (or its inverse, precision). In a previous fMRI study we found that low-level precision-weighted PEs about visual outcomes (that update beliefs about associations) activated the putative dopaminergic midbrain; by contrast, precision-weighted PEs about cue-outcome associations (that update beliefs about volatility) activated the cholinergic basal forebrain. These findings suggested selective dopaminergic and cholinergic influences on precision-weighted PEs at different hierarchical levels. Here, we tested this hypothesis, repeating our fMRI study under pharmacological manipulations in healthy participants. Specifically, we performed two pharmacological fMRI studies with a between-subject double-blind placebo-controlled design: study 1 used antagonists of dopaminergic (amisulpride) and muscarinic (biperiden) receptors, study 2 used enhancing drugs of dopaminergic (levodopa) and cholinergic (galantamine) modulation. Pooled across all pharmacological conditions of study 1 and study 2, respectively, we found that low-level precision-weighted PEs activated the midbrain and high-level precision-weighted PEs the basal forebrain as in our previous study. However, we found pharmacological effects on brain activity associated with these computational quantities only when splitting the precision-weighted PEs into their PE and precision components: in a brainstem region putatively containing cholinergic (pedunculopontine and laterodorsal tegmental) nuclei, biperiden (compared to placebo) enhanced low-level PE responses and attenuated high-level PE activity, while amisulpride reduced high-level PE responses. Additionally, in the putative dopaminergic midbrain, galantamine compared to placebo enhanced low-level PE responses (in a body-weight dependent manner) and amisulpride enhanced high-level precision activity. Task behaviour was not affected by any of the drugs. These results do not support our hypothesis of a clear-cut dichotomy between different hierarchical inference levels and neurotransmitter systems, but suggest a more complex interaction between these neuromodulatory systems and hierarchical Bayesian quantities. However, our present results may have been affected by confounds inherent to pharmacological fMRI. We discuss these confounds and outline improved experimental tests for the future.
Identifiants
pubmed: 33285332
pii: S1053-8119(20)31075-2
doi: 10.1016/j.neuroimage.2020.117590
pii:
doi:
Substances chimiques
Cholinergic Agents
0
Dopamine Agents
0
Acetylcholine
N9YNS0M02X
Dopamine
VTD58H1Z2X
Types de publication
Journal Article
Randomized Controlled Trial
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
117590Informations de copyright
Copyright © 2020. Published by Elsevier Inc.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors have declared no conflicts of interest for this article.