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  Reversal learning reveals cognitive deficits and altered prediction error encoding in the ventral striatum in Huntington’s disease

Nickchen, K., Boehme, R., del Mar Amador, M., Hälbig, T. D., Dehnicke, K., Panneck, P., et al. (2017). Reversal learning reveals cognitive deficits and altered prediction error encoding in the ventral striatum in Huntington’s disease. Brain Imaging and Behavior, 11(6), 1862-1872. doi:10.1007/s11682-016-9660-0.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-629F-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-C570-0
Genre: Journal Article

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 Creators:
Nickchen, Katharina1, 2, 3, Author
Boehme, Rebecca2, 4, Author
del Mar Amador, Maria1, Author
Hälbig, Thomas D.1, Author
Dehnicke, Katharina1, 5, Author
Panneck, Patricia1, 2, Author
Behr, Joachim2, 6, Author
Prass, Konstantin5, Author
Heinz, Andreas2, Author
Deserno, Lorenz2, 7, Author              
Schlagenhauf, Florian2, 7, Author              
Priller, Josef1, 2, 8, Author
Affiliations:
1Department Psychiatry, Charité University Medicine Berlin, Germany, ou_persistent22              
2Department of Psychiatry and Psychotherapy, Charité University Medicine Berlin, Germany, ou_persistent22              
3Fliedner Klinik Berlin, Germany, ou_persistent22              
4Center for Social and Affective Neuroscience, Linköping University, Sweden, ou_persistent22              
5Department of Neurology, Helios Hospital Bad Saarow, Germany, ou_persistent22              
6Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School Brandenburg, Neuruppin, Germany, ou_persistent22              
7Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
8NeuroCure Cluster of Excellence, Charité University Medicine Berlin, Germany, ou_persistent22              

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Free keywords: Huntington’s disease; Reinforcement learning; Ventral striatum; Gray matter density
 Abstract: Huntington’s disease (HD) is an autosomal dominant neurodegenerative condition characterized by a triad of movement disorder, neuropsychiatric symptoms and cognitive deficits. The striatum is particularly vulnerable to the effects of mutant huntingtin, and cell loss can already be found in presymptomatic stages. Since the striatum is well known for its role in reinforcement learning, we hypothesized to find altered behavioral and neural responses in HD patients in a probabilistic reinforcement learning task performed during functional magnetic resonance imaging. We studied 24 HD patients without central nervous system (CNS)-active medication and 25 healthy controls. Twenty HD patients and 24 healthy controls were able to complete the task. Computational modeling was used to calculate prediction error values and estimate individual parameters. We observed that gray matter density and prediction error signals during the learning task were related to disease stage. HD patients in advanced disease stages appear to use a less complex strategy in the reversal learning task. In contrast, HD patients in early disease stages show intact encoding of learning signals in the degenerating left ventral striatum. This effect appears to be lost with disease progression.

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Language(s): eng - English
 Dates: 2016-12-052017-12
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1007/s11682-016-9660-0
PMID: 27917451
 Degree: -

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Project name : Atherosklerose: Mechanismen und Netzwerke neuer therapeutischer Zielstrukturen / SFB 1123
Grant ID : -
Funding program : -
Funding organization : Deutsche Forschungsgemeinschaft (DFG)
Project name : NeuroCure – Neue Wege in der Erforschung und Behandlung von Erkrankungen des Nervensystems / EXC 2049
Grant ID : -
Funding program : -
Funding organization : Deutsche Forschungsgemeinschaft (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: 11 (6) Sequence Number: - Start / End Page: 1862 - 1872 Identifier: Other: 1931-7557
CoNE: /journals/resource/1931-7557