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  Uncertainty and expectancy deviations require cortico-subcortical cooperation

Mestres-Misse, A., Trampel, R., Turner, R., & Kotz, S. A. (2017). Uncertainty and expectancy deviations require cortico-subcortical cooperation. NeuroImage, 144(A), 23-34. doi:10.1016/j.neuroimage.2016.05.069.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-0478-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-4D6C-D
Genre: Journal Article

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 Creators:
Mestres-Misse, Anna1, Author              
Trampel, Robert2, Author              
Turner, Robert3, Author              
Kotz, Sonja A.4, 5, Author              
Affiliations:
1School of Psychological Sciences, University of Manchester, United Kingdom, ou_persistent22              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
3Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
4Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634551              
5Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, the Netherlands, ou_persistent22              

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Free keywords: 7T-fMRI; Basal ganglia; Flexible cognitive control; Probabilistic inferential learning; Red nucleus; Thalamus
 Abstract: In a dynamic and uncertain environment it is beneficial to learn the causal structure of the environment in order to minimize uncertainty. This requires determining estimates of probable outcomes, which will guide expectations about incoming information. One key factor in this learning process is to detect whether an unexpected event constitutes a low probability, but valid outcome, or an outright error. The present 7T-fMRI study investigated the role of subcortical structures in regulating this probabilistic inferential learning process. A new task was designed, in which participants learned to calculate the value, and therefore to anticipate the outcome of different visual sequences. Three types of sequences provided unambiguous, ambiguous, and incongruent contextual evidence and each sequence had two outcomes, which differed in their probability of occurrence. We hypothesized that subcortical regions are necessary when expectations are violated, and that their involvement will depend on the nature of the unexpected event. The results show increased dorsomedial striatal and thalamic activation for less probable sequences; in addition, ambiguous sequences also display larger activation in the red nuclei. Incongruent sequences displayed a pattern of subcortical activation restricted to the dorsolateral and the posterior dorsomedial striatum. These results confirm that different subcortical structures regulate uncertainty and expectancy deviations; this is crucial not only for learning to predict events in the environment, but also for flexible cognitive control in general.

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Language(s): eng - English
 Dates: 2016-03-292015-10-262016-05-272016-06-012017-01-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2016.05.069
PMID: 27261161
Other: Epub 2016
 Degree: -

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Project name : -
Grant ID : BP-DGR, 2009 BP-A 00025
Funding program : Beatriu de Pinós Postdoctoral Grant
Funding organization : Generalitat de Catalunya
Project name : -
Grant ID : CHIR 62667
Funding program : Canadian subaward
Funding organization : Canadian Institutes of Health Research (CIHR)

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 144 (A) Sequence Number: - Start / End Page: 23 - 34 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166