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  Altered monetary loss processing and reinforcement-based learning in individuals with obesity

Kube, J., Mathar, D., Horstmann, A., Kotz, S. A., Villringer, A., & Neumann, J. (2018). Altered monetary loss processing and reinforcement-based learning in individuals with obesity. Brain Imaging and Behavior, 12(5), 1431-1449. doi:10.1007/s11682-017-9786-8.

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 Creators:
Kube, Jana1, 2, 3, Author           
Mathar, David1, 4, Author           
Horstmann, Annette1, 2, Author           
Kotz, Sonja A.5, 6, Author           
Villringer, Arno1, 2, 7, 8, Author           
Neumann, Jane1, 2, 9, Author           
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Integrated Research and Treatment Center Adiposity Diseases, University of Leipzig, Germany, ou_persistent22              
3Department of Law and Social Sciences, Brandenburg University of Technology, Senftenberg, Germany, ou_persistent22              
4Department of Psychology, University of Cologne, Germany, ou_persistent22              
5Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
6Department of Neuropsychology and Psychopharmacology, Maastricht University, the Netherlands, ou_persistent22              
7Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              
8Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
9Department of Medical Engineering and Biotechnology, University of Applied Sciences, Jena, Germany, ou_persistent22              

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Free keywords: fMRI; Obesity; Prediction error; Reward; Reinforcement; Money
 Abstract: Individuals with obesity are often characterized by alterations in reward processing. This may affect how new information is used to update stimulus values during reinforcement-based learning. Here, we investigated obesity-related changes in non-food reinforcement processing, their impact on learning performance as well as the neural underpinnings of reinforcement-based learning in obesity. Nineteen individuals with obesity (BMI > = 30 kg/m2, 10 female) and 23 lean control participants (BMI 18.5–24.9 kg/m2, 11 female) performed a probabilistic learning task during functional magnetic resonance imaging (fMRI), in which they learned to choose between advantageous and disadvantageous choice options in separate monetary gain, loss, and neutral conditions. During learning individuals with obesity made a significantly lower number of correct choices and accumulated a significantly lower overall monetary outcome than lean control participants. FMRI analyses revealed aberrant medial prefrontal cortex responses to monetary losses in individuals with obesity. There were no significant group differences in the regional representation of prediction errors. However, we found evidence for increased functional connectivity between the ventral striatum and insula in individuals with obesity. The present results suggest that obesity is associated with aberrant value representations for monetary losses, alterations in functional connectivity during the processing of learning outcomes, as well as a decresased reinforcement-based learning performance. This may affect how new information is incorporated to adjust dysfunctional behavior and could be a factor contributing to the maintenance of dysfunctional eating behavior in obesity.

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Language(s): eng - English
 Dates: 2017-12-292018-10
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s11682-017-9786-8
PMID: 29285721
PMC: PMC6290732
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Funding organization : Max Planck Society
Project name : -
Grant ID : 01EO1001
Funding program : -
Funding organization : German Federal Ministry of Education and Research (BMBF)
Project name : Obesity Mechanisms / SFB 1052
Grant ID : -
Funding program : -
Funding organization : German Research Foundation (DFG)

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Title: Brain Imaging and Behavior
  Abbreviation : Brain Imaging Behav
Source Genre: Journal
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Publ. Info: Secaucus, NJ : Springer
Pages: - Volume / Issue: 12 (5) Sequence Number: - Start / End Page: 1431 - 1449 Identifier: ISSN: 1931-7557
CoNE: https://pure.mpg.de/cone/journals/resource/1931-7557