Altered monetary loss processing and reinforcement-based learning in individuals with obesity.
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 learnin...
| Publicado en: | Brain Imaging & Behavior Vol. 12; no. 5; pp. 1431 - 1450 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133509392&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133509392 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19317557 3GSC jtl: Brain Imaging & Behavior issn: 19317557 maglogo: N pubinfo: dt: Oct2018 vid: 12 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133509392 133509392 NLM29285721 10.1007/s11682-017-9786-8 NLM29285721 133509392 ppf: 1431 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Altered monetary loss processing and reinforcement-based learning in individuals with obesity. aug: au: Kube, Jana Mathar, David Horstmann, Annette Kotz, Sonja A. Villringer, Arno Neumann, Jane affil: Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, 04103, Leipzig, Germany sug: subj: Obesity Psychosocial Factors Learning Obesity Physiopathology Brain Physiopathology Reinforcement (Psychology) Neural Pathways Magnetic Resonance Imaging Obesity Adult Brain Decision Making Neural Pathways Physiopathology Models, Psychological Brain Mapping Computer Simulation Female Male Clinical Assessment Tools Impact of Events Scale Adult: 19-44 years Female Male ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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