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  Dissociating neural learning signals in human sign- and goal-trackers

Schad, D. J., Rapp, M. A., Garbusow, M., Nebe, S., Sebold, M., Obst, E., et al. (2019). Dissociating neural learning signals in human sign- and goal-trackers. Nature Human Behaviour. doi:10.1038/s41562-019-0765-5.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0005-438B-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-58F4-5
Genre: Journal Article

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 Creators:
Schad, Daniel J.1, 2, Author
Rapp, Michael A.1, Author
Garbusow, Maria2, Author
Nebe, Stephan3, 4, Author
Sebold, Miriam1, 2, Author
Obst, Elisabeth3, Author
Sommer, Christian3, Author
Deserno, Lorenz5, 6, 7, Author              
Rabovsky, Milena1, Author
Friedel, Eva2, 8, Author
Romanczuk-Seiferth , Nina2, Author
Wittchen, Hans-Ulrich3, 9, Author
Zimmermann, Ulrich S.3, 10, Author
Walter, Henrik2, Author
Sterzer, Philipp2, Author
Smolka, Michael N.3, 11, Author
Schlagenhauf, Florian2, 6, Author              
Heinz, Andreas2, Author
Dayan, Peter12, 13, Author
Huys, Quentin J. M.14, 15, 16, Author
Affiliations:
1Research Focus Cognitive Sciences, University of Potsdam, Germany, ou_persistent22              
2Department of Psychiatry and Psychotherapy, Charité University Medicine Berlin, Germany, ou_persistent22              
3Department of Psychiatry and Psychotherapy, TU Dresden, Germany, ou_persistent22              
4Zurich Center for Neuroeconomics (ZNE), University of Zurich, Switzerland, ou_persistent22              
5Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, United Kingdom, ou_persistent22              
6Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
7Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom, ou_persistent22              
8Berlin Institute of Health (BIH), Germany, ou_persistent22              
9Department of Psychiatry and Psychotherapy, Ludwig Maximilians University Munich, Germany, ou_persistent22              
10Department of Addiction Medicine and Psychotherapy, Isar-Amper-Klinikum, Munich, Germany, ou_persistent22              
11Neuroimaging Center, TU Dresden, Germany, ou_persistent22              
12Gatsby Computational Neuroscience Unit, University College London, United Kingdom, ou_persistent22              
13Max Planck Institute for Biological Cybernetics, Tübingen, Germany, ou_persistent22              
14Centre for Addictive Disorders, Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital Zurich, Switzerland, ou_persistent22              
15Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich, Switzerland, ou_persistent22              
16Complex Depression Anxiety and Trauma Service, Camden and Islington NHS Foundation Trust, London, United Kingdom, ou_persistent22              

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Free keywords: Classical conditioning; Human behaviour; Learning algorithms; Reward
 Abstract: Individuals differ in how they learn from experience. In Pavlovian conditioning models, where cues predict reinforcer delivery at a different goal location, some animals-called sign-trackers-come to approach the cue, whereas others, called goal-trackers, approach the goal. In sign-trackers, model-free phasic dopaminergic reward-prediction errors underlie learning, which renders stimuli 'wanted'. Goal-trackers do not rely on dopamine for learning and are thought to use model-based learning. We demonstrate this double dissociation in 129 male humans using eye-tracking, pupillometry and functional magnetic resonance imaging informed by computational models of sign- and goal-tracking. We show that sign-trackers exhibit a neural reward prediction error signal that is not detectable in goal-trackers. Model-free value only guides gaze and pupil dilation in sign-trackers. Goal-trackers instead exhibit a stronger model-based neural state prediction error signal. This model-based construct determines gaze and pupil dilation more in goal-trackers.

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Language(s): eng - English
 Dates: 2017-10-202019-09-252019-11-11
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1038/s41562-019-0765-5
Other: Epub ahead of print
PMID: 31712764
 Degree: -

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Project name : Lern- und Gewöhnungsprozesse als Prädiktoren für die Entwicklung und Aufrechterhaltung alkoholbezogener Störungen / FOR 1617
Grant ID : SCHA 1971/1-2 ; HE 2597/13-1 ; HE 2597/13-2 ; HE 2597/15-1 ; SCHL 1969/2-2 ; SCHL 1969/4-1 ; SM 80/7-1 ; SM 80/7-2 ; WI 709/10-1 ; WI 709/10-2 ; ZI 1119/3-1 ; ZI 1119/3-2 ; RA 1047/2-1 ; RA 1047/2-2
Funding program : -
Funding organization : German Research Foundation (DFG)
Project name : -
Grant ID : -
Funding program : BIH Charité Clinician Scientist Program
Funding organization : Charite - University Medicine Berlin and the Berlin Institute of Health
Project name : -
Grant ID : FK-19-020
Funding program : -
Funding organization : University Zurich

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Title: Nature Human Behaviour
Source Genre: Journal
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Affiliations:
Publ. Info: London : Nature Research
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 2397-3374
CoNE: https://pure.mpg.de/cone/journals/resource/2397-3374