The role of dopamine in positive and negative prediction error utilization during incidental learning – Insights from Positron Emission Tomography, Parkinson's disease and Huntington's disease. (May 2017)
- Record Type:
- Journal Article
- Title:
- The role of dopamine in positive and negative prediction error utilization during incidental learning – Insights from Positron Emission Tomography, Parkinson's disease and Huntington's disease. (May 2017)
- Main Title:
- The role of dopamine in positive and negative prediction error utilization during incidental learning – Insights from Positron Emission Tomography, Parkinson's disease and Huntington's disease
- Authors:
- Mathar, David
Wilkinson, Leonora
Holl, Anna K.
Neumann, Jane
Deserno, Lorenz
Villringer, Arno
Jahanshahi, Marjan
Horstmann, Annette - Abstract:
- Abstract: Incidental learning of appropriate stimulus-response associations is crucial for optimal functioning within our complex environment. Positive and negative prediction errors (PEs) serve as neural teaching signals within distinct ('direct'/'indirect') dopaminergic pathways to update associations and optimize subsequent behavior. Using a computational reinforcement learning model, we assessed learning from positive and negative PEs on a probabilistic task (Weather Prediction Task – WPT) in three populations that allow different inferences on the role of dopamine (DA) signals: (1) Healthy volunteers that repeatedly underwent [ 11 C]raclopride Positron Emission Tomography (PET), allowing for assessment of striatal DA release during learning, (2) Parkinson's disease (PD) patients tested both on and off L-DOPA medication, (3) early Huntington's disease (HD) patients, a disease that is associated with hyper-activation of the 'direct' pathway. Our results show that learning from positive and negative feedback on the WPT is intimately linked to different aspects of dopaminergic transmission. In healthy individuals, the difference in [ 11 C]raclopride binding potential (BP) as a measure for striatal DA release was linearly associated with the positive learning rate. Further, asymmetry between baseline DA tone in the left and right ventral striatum was negatively associated with learning from positive PEs. Female patients with early HD exhibited exaggerated learning rates fromAbstract: Incidental learning of appropriate stimulus-response associations is crucial for optimal functioning within our complex environment. Positive and negative prediction errors (PEs) serve as neural teaching signals within distinct ('direct'/'indirect') dopaminergic pathways to update associations and optimize subsequent behavior. Using a computational reinforcement learning model, we assessed learning from positive and negative PEs on a probabilistic task (Weather Prediction Task – WPT) in three populations that allow different inferences on the role of dopamine (DA) signals: (1) Healthy volunteers that repeatedly underwent [ 11 C]raclopride Positron Emission Tomography (PET), allowing for assessment of striatal DA release during learning, (2) Parkinson's disease (PD) patients tested both on and off L-DOPA medication, (3) early Huntington's disease (HD) patients, a disease that is associated with hyper-activation of the 'direct' pathway. Our results show that learning from positive and negative feedback on the WPT is intimately linked to different aspects of dopaminergic transmission. In healthy individuals, the difference in [ 11 C]raclopride binding potential (BP) as a measure for striatal DA release was linearly associated with the positive learning rate. Further, asymmetry between baseline DA tone in the left and right ventral striatum was negatively associated with learning from positive PEs. Female patients with early HD exhibited exaggerated learning rates from positive feedback. In contrast, dopaminergic tone predicted learning from negative feedback, as indicated by an inverted u-shaped association observed with baseline [ 11 C]raclopride BP in healthy controls and the difference between PD patients' learning rate on and off dopaminergic medication. Thus, the ability to learn from positive and negative feedback is a sensitive marker for the integrity of dopaminergic signal transmission in the 'direct' and 'indirect' dopaminergic pathways. The present data are interesting beyond clinical context in that imbalances of dopaminergic signaling have not only been observed for neurological and psychiatric conditions but also been proposed for obesity and adolescence. … (more)
- Is Part Of:
- Cortex. Volume 90(2017)
- Journal:
- Cortex
- Issue:
- Volume 90(2017)
- Issue Display:
- Volume 90, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 90
- Issue:
- 2017
- Issue Sort Value:
- 2017-0090-2017-0000
- Page Start:
- 149
- Page End:
- 162
- Publication Date:
- 2017-05
- Subjects:
- Procedural stimulus-response learning -- Computational modeling -- Dopamine -- PET -- Parkinson's disease -- Huntington's disease
Neuropsychology -- Periodicals
Nervous system -- Periodicals
Neurology -- Periodicals
Psychophysiology -- Periodicals
Behavior -- Periodicals
Neurology -- Periodicals
612.825 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00109452 ↗
http://www.sciencedirect.com/science/journal/00109452 ↗
http://www.cortex-online.org ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cortex.2016.09.004 ↗
- Languages:
- English
- ISSNs:
- 0010-9452
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3477.150000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 26836.xml